AB. LATIF I. 1994. Hujan sumber air dan pengeluaran padi di kawasan MADA di negeri Kedah dan Perlis [Rainfall, water resources and paddy production in MADA areas in Kedah and Perlis]. PhD thesis. Kuala Lumpur. University of Malaya, Malaysia pp. 359.
AL-TIMIMI Y.K., AL-LAMI A.M., AL-SHAMARTI H.K. 2020. Calculation of the mean annual rainfall in Iraq using several methods in GIS. Plant Archives. Vol. 20(2) p. 1156–1160.
ANAND B., KARUNANIDHI D. 2020. Long term spatial and temporal rainfall trend analysis using GIS and statistical methods in Lower Bhavani basin, Tamil Nadu, India. Indian Journal of Geo-Marine Sciences. No. 49(3) p. 419–427.
BARI J.A., VENNILA G. 2020. Spatial analysis of rainfall in northern part of Erode district, Tamil Nadu, India using GIS. Indian Journal of Geo Marine Sciences. No. 49(6) p. 1108–1113.
CHAN N.W. 1985. The variability in Northwest Peninsular Malaysia. Malaysian Journal of Tropical Geography. No. 12 p. 9–19.
CHAN N.W. 1990. A comparative study of the mean and median rainfall pattern in Kedah and Perlis. Kajian Malaysia. No. 8(1) p. 1–20.
CHAN N.W. 1991. The climate of Penang Island. Kajian Malaysia. No. 9(1) p. 62–86.
CHIA L.S. 1974. A study of the rainfall patterns in West Malaysia. PhD Thesis. Singapore. University of Singapore.
DALE W.L. 1959. The rainfall of Malaya. Part 1. Journal of Tropical Geography. No. 13 p. 23–37.
GOOVAERTS P. 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology. Vol. 228(1) p. 113–129. DOI 10.1016/S0022-1694(00)00144-X.
ISLAM T., RICO-RAMIREZ M.A., HAN D., SRIVASTAVA P.K. 2012. A Joss- Waldvogeldisdrometer derived rainfall estimation study by collocated tipping bucket and rapid response rain gauges. Atmospheric Science Letters. Vol. 13(2) p. 139–150. DOI 10.1002/asl.376.
KAIWART M. P., MISHRA P. K., SINHA J. 2020. Rainfall trend analysis for the Mahanadi Main Canal Command, Chhattisgarh, India [online]. Roorkee, India. Indian Institute of Technology Roorkee and National Institute of Hydrology. [Access 15.02.2021]. Available at: https://www.iitr.ac.in/rwc2020/pdf/papers/RWC _123_Manoj_Prabhakar_Kaiwart.pdf
KHALIL A. 2020. Rainfall trend analysis in the Mae Klong River Basin, Thailand. Songklanakarin Journal of Science & Technology. Vol. 42(4) p. 879–888. DOI 10.14456/sjst-psu.2020.113.
KORTE G. 1997. The GIS book: Understanding the value and implementation of geographic information system. 4th ed. Boston. Cengage Learning. ISBN 978-1-56-690127-7 pp. 414.
LI M., SHAO Q., RENZULLO L. 2010. Estimation and spatial interpolation of rainfall intensity distribution from the effective rate of precipitation. Stochastic Environmental Research and Risk Assessment. Vol. 24(1) p. 117–130. DOI 10.1007/s00477-009-0305-3.
LIM J.T. 1976. Rainfall minimum in Peninsular Malaysia during the northwest monsoon. Monthly Weather Review. Vol. 104(1) p. 96–99.
LOCKWOOD J.G. 1967. Probable maximum 24-hour precipitation over Malaya by statistical methods. Meteorological Magazine. No. 96 p. 11–19.
NASIR N. 2007. Persekitaran sistem maklumat geografi [Introduction of geographical information systems]. Tanjong Malim. Universiti Pendidikan Sultan Idris Press. ISBN 978-9-83-375914-9 pp. 147.
PRAVEEN B., TALUKDAR S., MAHATO S., MONDAL J., SHARMA P., ISLAM A. R. M. T., RAHMAN A. 2020. Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches. Scientific Reports. Vol. 10(1) p. 1–21. DOI 10.1038/s41598-020-67228-7.
SHAHARUDDIN A., NOORAZUAN M.H. 2006. Analysing rain patterns and trend in Negeri Sembilan using the GIS Polygon Thiessen and Isohyet Contours methods. Geografia Malaysian Journal of Society & Space. Vol. 3(2) p. 1–12.
TANGANG F.T., LIEW J.N., MOHD. SALMI N., MOHD. IDRIS J., SHAHARUDDIN A., ALUI B. 2004. Interannual evolution of Indian Ocean sea surface temperature anomaly and its relationship with precipita-tion variability in Malaysia. In: Marine science into the new millennium: New perspectives & challenges. Proceedings of the Asia-Pacific Conference on Marine Science & Technology. Ed. S.M. Phang, V.C. Chong, S.C. Ho, M. Noraieni, O.L.S. Jillian. 12–16 May 2002, Kuala Lumpur, Malaysia. UMMReC p. 537– 551.
WAN RUSLAN I. 1994. Pengantar hidrologi [Introduction of hydrology]. Kuala Lumpur. Dewan Bahasa dan Pustaka. ISBN 978-9-83-624434-5 pp. 159.

ALPATYEV S. 1973. Metodika rascheta rezhimov orosheniya selskokho-zyaystvennykh kultur na osnove bioklimaticheskogo metoda dlya yevropeyskoy chasti SSSR s primeneniyem EVM [Methods for calculating crop irrigation regimes based on bioclimatic method for the European part of the USSR by using computers]. Kiev. MMVKh SSSR pp. 9.
BLANEY H.F., CRIDDLE W. 1950. Determining water requirements in irrigated areas from climatological and irrigation data. Washing-ton. USDA Soil Conservation Servis pp. 44.
DBN V.2.4.1-99. Vodospozhyvannya, rezhymy zroshennya silskogos-podarskykh kul’tur i tekhniko-ekonomichne obgruntuvannya vodozabezpechenosti melioratyvnykh system [Water consumption, irrigation regimes of agricultural crops and feasibility study of water supply of meliorative systems. Kiev. Derzhavnyj komitet po vodnomu gospodarstvu Ukrayiny pp. 54.
GERNAAT D.E.H.J., DE BOER H., DAIOGLOU V., YALEW S.G., MÜLLER C., VAN VUUREN D.P. 2021. Climate change impacts on renewable energy supply. Nature Climate Change. Vol. 11 p. 119–125. DOI 10.1038/s41558-020-00949-9.
IVANOV N. 1954. Ob opredelenii velichin isparyayemosti [Determina-tion of the quantities of evaporation]. Izvestiya VGO. Vol. 86(2) p. 189–196.
JACKSON S.T. 2021. Climate change [online]. Encyclopedia Britannica. [Access 20.05.2021]. Available at: https://www.britannica.com/science/climate-change
JAIN A., DUBES R. 2012. Algorithms for clustering data. Englewood Cliffs. Prentice Hall. ISBN 0-13-022278-X pp. 320.
KAUFMAN L., ROUSSEEUW P. 2007. Finding groups in data: An introduction to cluster analysis. John Wiley & Sons Inc. ISBN 0-47-1-73578-7 pp. 342.
KHARCHENKO S. 1975. Gidrologiya oroshayemykh zemel [Hydrology of irrigated lands]. Leningrad. Gidrometeoizdat pp. 375.
KOSTYAKOV A. 1933. Osnovy melioratsii: uchebnoe posobiye [Fundamentals of amelioration: tutorial]. 3rd ed. Moscow. Leningrad. Gosudarstvennoye izdatel’stvo kolkhoznoy i sovkhoznoy literatury „Sel’khozgiz” pp. 887.
LYTOVCHENKO A.F. 2011. Agrogydrometeorologycheskyy metod rascheta vlazhnosty’ pochv y vodosberegayushhykh rezhymov uvlazhnenyya oroshaemыkh kultur v Stepy y Lesostepy Ukrayiny: monografyya [Agrohydrometeorological method for calculating soil moisture and water-saving regimes of humidification of irrigated crops in the Steppe and Forest Steppe of Ukraine: monograph]. Dnepropetrovsk. Svidler A.L. ISBN 978-617-627- 006-5 pp. 47.
MTD 33-04-03-93. Metodychni vkazivky z vyznachennia typovoho rozpodilu meteofaktoriv v kharakterni po umovakh zvolozhennia periody vehetatsii dlia vykonannia vodobalansovykh rozrakhunkiv ta ahrometeorolohichnykh prohnoziv [Methodical instructions for determining the typical distribution of meteorological factors in the humidity conditions characteristic of the vegetation periods for the implementation of aquatic balance calculations and agrometeorological forecasts]. Kiev. Urozhai pp. 37.
MONTEITH J. 1965. Evaporation and environment. Cambridge. University Press. 19th Symposia of the Society for Experimental Biology. Vol. 19 p. 205–234.
PENMAN H. 1948. Natural evaporation from open water, bare soil and grass. London. Proceedings of the Royal Society of London. Vol. 193 p. 120–145.
PENMAN H. 1968. Rastenye y vlaha [Plant and water]. Leningrad. Gidrometeoizdat pp. 161. PTC undated [online]. [Access 01.07.2017]. Available at: https://www.ptc.com Rp5.uaundated [online] [Access 16.10.2015]. Available at: www.rp5.ua
ROMASHCHENKO M., YATSYUK M., ZHOVTONOG O., DEKHTIAR O., SAYDAK R., MATIASH T. 2017. Naukovі zasady vіdnovlennya ta rozvytku zroshennya v Ukrayinі v suchasnykh umovakh [Scientific principles of restoration and development of irrigation in Ukraine in the current conditions]. Land Reclamation and Water Management. Vol. 106(2) p. 314. DOI 10.31073/mivg 201702-26.
SHAROV I. 1959. Ekspluatatsiya gidromeliorativnykh sistem [Operation of hydroreclamation systems]. Moscow. Selkhozgiz pp. 448.
SHTOYKO D. 1965. Normativy proyektirovaniya rezhimov orosheniya selskokhozyaystvennykh kultur i gidromodulya v usloviyakh intensivnogo ispolzovaniya oroshayemykh zemel. V: Oroshaye-moye zemledeliye v YeCh SSSR [Standards for design irrigation modes of crops and hydromodulus under intensive use of irrigated land. In: Irrigated agriculture in the European Part of USSR]. Moskva. Kolos p. 171–185.
TKACHUK A. 1999. Metodyka rozrakhunku zapasiv gruntovoyi vology pid pshenytseyu ozymoyu v Lisostepu Pravoberezhnoyi Ukrayiny [Methods for calculating soil moisture reserves under winter wheat in the Forest-Steppe of the Right Bank of Ukraine]. Collection of scientific papers of the Irrigated Agriculture Institute UAAS “Actual problems of efficient use of irrigated lands”. Vol. 2. Kherson p. 33–37.
TKACHUK A., ZAPOROZHCHENKO V. 2016. Otsinka reprezentatyvnosti chasovykh ryadiv dlya vyznachennya kharakternykh rokiv za pryrodnym zvolozhennyam pid posivamy lyutserny u pivnichno-mu Stepu Ukrayiny [Evaluation of the representativeness of the time series to determine the typical age at natural moisture sown with alfalfa in Northern Steppe of Ukraine]. Visnyk Dnipropetrovs’koho derzhavnoho ahrarno-ekonomichnoho universytetu. Vol. 3 p. 44–49. Available at: http://ojs.dsau.dp.ua/index.php/vestnik/article/view/766
TKACHUK A., ZAPOROZHCHENKO V. 2017. Otsinka vplyvu klimatychnykh umov na produktyvnist’ lyutserny v pivnichnomu Stepu Ukrayiny [An estimation of influence of climatic conditions on productivity of alfalfa in the Northern steppe of Ukraine]. Visnyk Dnipropetrovs’koho derzhavnoho ahrarno-ekonomichnoho universytetu. Vol. 1. p. 70–73. Available at: http://nbuv.gov.ua/UJRN/vddau_2017_1_15
VNIIGMI-MTSD 1966–1987. Agrometeorologicheskiye yezhegodniki na territorii Ukrainskoy SSR za 1966–1987 gg. [Agrometeorological yearbooks on the territory of the Ukrainian SSR for 1966–1987]. Obninsk. Vserossiyskiy nauchno issledovatel’skiy institut gidrometeorologicheskoy informatsii – Mirovoy tsentr dannykh.
YELISEYEVA I.I. (ed.) 2007. Ekonometrika [Еconometrics]. 2nd ed. revised. Moscow. Finansy i statistika. ISBN 978-5-279-02786-6 pp. 576.

AHMADI I., GHAUR H. 2015. Effects of soil moisture content and tractor wheeling intensity on traffic-induced soil compaction. Journal of Central European Agriculture. Vol. 16(4) p. 489–502. DOI 10.5513/JCEA01/16.4.1657.
BEUTLER A.N., CENTURION J.F., SILVA A.P., CENTURION M.A.P., LEONE C.L., FREDDI O.S. 2008. Soil compaction by machine traffic and least limiting water range related to soybean yield. Pesquisa Agropecuaria Brasileira. Vol. 43(11) p. 1591–1600.
BURT C.M., CLEMMENS A.J., STRELKOFF T.S., SOLOMON K.H., BLIESNER K.H., HARDY R.D., HOWELL R.A., EISENHAUER E. 1997. Irrigation performance measures: Efficiency and uniformity. Journal of Irrigation and Drainage Engineering. Vol. 123 p. 423–442. DOI 10.1061/(ASCE)0733-9437(1997)123:6(423).
GHAFFAR A.K., HASSAN A., MUHAMMAD I., ULLAH E. 2015. Assessing the performance of different irrigation techniques to enhance the water use efficiency and yield of maize under deficit water supply. Soil Environment. Vol. 34(2) p. 166–179.
HAMZA M.A., ANDERSON W.K. 2005. Soil compaction in cropping systems: A review of the nature, causes and possible solutions. Soil Tillage Research. Vol. 82 p. 121–145. DOI 10.1016/j.still.2004.08.009.
IQBAL M., KHALIQ A., CHOUDHRY M.R.I. 1994. Comparison of volume balance and hydrodynamic models for level basin irrigation systems. Pakistan Journal Agricultural Sciences. Vol. 31 p. 37–40.
KIMARO J. 2019. A review on managing agro ecosystems for improved water use efficiency in the face of changing climate in Tanzania. Advances in Meteorology. Vol. 2019 p. 1–12. DOI 10.1155/2019/9178136.
LIPIEC J., HATANO R. 2003. Quantification of compaction effects on soil physical properties and crop growth. Geoderma. Vol. 116 p. 107– 136. DOI 10.1016/S0016-7061(03)00097-1.
LIU L., ZUO Y., ZHANG Q., YANG L., ZHAO E., LIANG L., TONG Y. 2018. Ridge-furrow with plastic film and straw mulch increases water availability and wheat production on the Loess Plateau. Scientific Reports. Vol. 8(1), 6503. DOI 10.1038/s41598-018-24864-4.
NAWAZ M.F., BOURRIÉ G., TROLARD F. 2013. Soil compaction impact and modelling. A review. Agronomy for Sustainable Development. Vol. 33 p. 291–309. DOI 10.1007/s13593-011-0071-8.
RAMEZANI N., SAYYAD G.A., BARZEGAR A.R. 2017. Tractor wheel compaction effect on soil water infiltration, hydraulic conductivity and bulk density. Malaysian Journal of Soil Science. Vol. 21 p. 47–61.
SAKAI H., NORDFJELL T., SUADICANI K., TALBOT B., BOLLEHUUS E. 2008. Soil compaction on forest soils from different kinds of tires and tracks and possibility of accurate estimate. Croatian Journal of Forest Engineering. Vol. 29 p. 15–27.
SHAIKH I.A., WAYAYOK A., MANGRIO M.A., KHATRI K.L., SOOMRO A., DAHRI S.A. 2017. Comparative study of irrigation advance based infiltration methods for furrow irrigated soils. Pertanika Journal of Science and Technology. Vol. 25(4) p. 1223–1234.
SHIRAZI S.M., ISMAIL Z., AKIB S., SHOLICHIN M., ISLAM M.A. 2011. Climatic parameters and net irrigation requirement of crops. International Journal of Physical Science. Vol. 6(1) p. 15–26. DOI 10.5897/IJPS10.683.
SILVA S., BARROS N., COSTA L., LEITE F. 2008. Soil compaction and eucalyptus growth in response to forwarder traffic intensity and load. Revista Brasileira de Ciência do Solo. Vol. 32 p. 921–932. DOI 10.1590/S0100-06832008000300002.
SIYAL A.A., SIYAL A.G., HASINI M.Y. 2011. Crop production and water use efficiency under subsurface porous clay pipe irrigation. Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences. Vol. 27(1) p. 39–50.
SMITH C.W., JOHNSTON M.A., LORENTZ S. 1997. The effect of soil compaction and soil physical properties on the mechanical resistance of South African forestry soils. Geoderma. Vol. 78(1–2) p. 93–111. DOI 10.1016/S0016-7061(97)00029-3.
SORACCO C.G., LOZANO L.A., VILLARREAL R., PALANCAR T.C., COLLAZO D.J., SARLI G.O., FILGUEIRA R.R. 2015. Effects of compaction due to machinery traffic on soil pore configuration. Revista Brasileira de Ciência do Solo. Vol. 39 p. 408–415. DOI 10.1590/01000683 rbcs20140359.
TOLÓN-BECERRA A., BOTTA G.F., LASTRA-BRAVO X. TOURN M., RIVERO D. 2012. Subsoil compaction from tractor traffic in an olive (Olea europea L.) grove in Almería, Spain. Soil Use and Management. Vol. 28(4) p. 606–613. DOI 10.1111/sum.12002.
TRON S., BODNER G., LAIO F., RIDOLFI L., LEITNER D. 2015. Can diversity in root architecture explain plant water use efficiency? A modeling study. Ecological Modelling. Vol. 312 p. 200–210. DOI 10.1016/j.ecolmodel.2015.05.028.
ZHANG S.L., SADRAS V., CHEN X.P., ZHANG F.S. 2014. Water use efficiency of dry land maize in the Loess Plateau of China in response to crop management. Field Crops Research. Vol. 163 p. 55–63. DOI 10.1016/j.fcr.2014.04.003.

BABAK V.P., BABAK S.V., MYSLOVYCH M.V., ZAPOROZHETS A.O., ZVARITCH V.M. 2020. Methods and models for information data analysis. In: Diagnostic systems for energy equipments. Ser. Studies in Systems, Decision and Control. Vol. 281 p. 23–70. Springer. DOI 10.1007/978-3-030-44443-3_2.
BOJKO T.G., PASLAVSKYI M.M., RUDA M.V. 2019. Stability of composite landscape complexes: model formalization. Scientific Bulletin of UNFU. Vol. 29(3) p. 108–113. DOI 10.15421/40290323.
BOSAK N., CHERNIUK V., MATLAI I., BIHUN I. 2019. Studying the mutual interaction of hydraulic characteristics of water distributing pipelines and their spraying devices in the coolers at energy units. Eastern-European Journal of Enterprise Technologies. Vol. 3/8 (99) p. 23–29. DOI 10.15587/1729-4061.2019.166309.
BURTON T., SHARPE D., JENKINS N., BOSSANYI E. 2001. Wind energy. Handbook. Brisbane England. John Wiley & Sons. ISBN 0471489972 pp. 609.
CHAPMAN P.F., ROBERTS F. 1983. Metal resources and energy. Ser. Butterworths Monographs in Materials. Boston. Butterworth- Heinemann Ltd. ISBN 0408108029 pp. 248.
CHERNIUK V.V., IVANIV V.V., BIHUN I.V., WOJTOWICZ JA.M. 2019. Coefficientof flow rate of inlet cylindrical nozzles with lateral orthogonal inflow. In: Lecture Notes in Civil Engineering. Book Series. Vol. 47 [e-book]. Ed. Z. Blikharskyy. Proceedings of CEE p. 50–57.
CHMIELNIAK T. 2008. Technologie energetyczne [Energy technologies]. Warszawa. WNT. ISBN 9788379260324 pp. 564.
CLEARY B., DUFFY A., O’CONNOR A. 2012. Using life cycle assessment to compare wind energy infrastructure. International Symposium on Life Cycle Assessment and Construction. Nantes, France 10– 12.07.2012 p. 87–98.
Danish Energy Agency 2020. Energy Statistics 2020 [online]. [Access 27.05.2020]. Available at: https://ens.dk/en/our-services/statis-tics-data-key-figures-and-energy-maps/annual-and-monthly-sta-tistics
DSTU ISO 14040:2004 2007. Ekologhichne keruvannja. Ocinjuvannja zhyttjevogho cyklu. Pryncypy ta struktura [Environmental management. Life cycle assessment. Principles and structure]. Kyiv. Derzhstandart Ukrajiny.
EU 2010. ILCD Handbook – General guide for Life Cycle Assessment – Detailed guidance. 1st ed. 2010. EUR 24708 EN. Luxembourg. European Commission – Joint Research Centre – Institute for Environment and Sustainability: International Reference Life Cycle Data System Publications Office of the European Union. ISBN 978-92-79-19092-6 pp. 394. DOI 10.2788/38479.
GHENAI CH. 2012. Life cycle analysis of wind turbine. In: Sustainable development, energy, engineering and technologies, manufacturing and environment. Ed. Ch. Ghenai. InTech p. 19–32. DOI 10.5772/29184.
GOEDKOOP M., OELE M., LEIJTING J., PONSIOEN T., MEIJER E. 2016. Introduction to LCA with SimaPro. [online]. [Access 01.08.2012]. Available at: https://www.presustainability.com/download/Sima-Pro8IntroductionToLCA.pdf
ISO 14040 Environmental Management. 1997. Life Cycle Assessment. Principles and framework. International Organisation for standardisation: Geneva, Switzerland. ISO 14042: DSTU ISO/TR 14047:2007 (ISO/TR 14047:2003, IDT) Ekologhichne upravlinnja. Ocinjuvannja vplyviv u procesi zhytt-jevogho cyklu. Pryklady zastosuvannja. [Environmental management. Impact assessment in the life cycle. Application examples], Kyiv. Derzhstandart Ukrajiny.
KOLLNER T., JUNGBLUTH N. 2000. Life cycle impact assessment for land use. Third SETAC World Congress, 21–25.05.2000, Brighton, UK p. 17–35.
LENZEN M., WACHSMANN U. 2004. Wind turbines in Brazil and Germany: An example of geographical variability in life-cycle assessment. Applied Energy. Vol. 77 p. 119–130.
MARTINEZ E., SANZ F., PELLEGRINI S., JIMÉNEZ E., BLANCO J. 2009. Life cycle assessment of a multi-megawatt wind turbine. Renewable Energy. Vol. 34(3) p. 667–673. DOI 10.1016/j.renene.2008.05.020.
POMBO O., ALLACKER K., RIVELA B., NEILA J. 2016. Sustainability assessment of energy saving measures: a multi-criteria approach for residential buildings retrofitting. A case study of the Spanish housing stock. Energy and Buildings. Vol. 116 p. 384–394. DOI 10.1016/j.enbuild.2016.01.019.
PROKOPENKO O., CEBULA J., CHAYEN S., PIMONENKO T. 2007. Wind energy in Israel, Poland and Ukraine: Features and opportunities. International Journal of Ecology and Development. Vol. 32(1) p. 98–107.
SINHA R., LENNARTSSON M., FROSTELL B. 2016. Environmental footprint assessment of building structures: A comparative study. Building and Environment. Vol. 104 p. 162–171. DOI 10.1016/j.buildenv.2016.05.012.
TÓTH T., SZEGEDI S. 2007. Anthropogeomorphologic impacts of onshore and offshore wind farms. Acta Climatologica et Chorologica. Vol. 40–41 p. 147–154.
UN 1992. Climate change and transnational corporations analysis and trends [online]. New York. United Nations. ISBN 92-1-104385-9. [Access 20.06.2006]. Available at: http://www.ieer.org/reports/ climchg/ch7.pdf
VAN DE MEENT D., BAKKER J., KLEPPER O. 1997. Potentially Affected Fraction as an indicator of toxic stress, application of aquatic and terrestrial ecosystems in The Netherlands. 18th Annual Meeting of SETAC, November. San Francisco pp. 245. Vestas 2004. General Specification V90 – 3.0 MW 60 Hz Variable Speed Turbine [online]. [Access 20.05.2006]. Available at: https://report.nat.gov.tw/ReportFront/PageSystem/reportFileDownload/C09503816/002
Vestas 2005. Life cycle assessment of offshore and onshore sited wind power plants based on Vestas V90-3.0 MW turbines [online]. [Access 20.05.2006]. Available at: https://www.vestas.com/content/dam/vestas-com/global/en/sustainability/reports-and-ratings/lcas/LCA_V903MW_version_1_1.pdf.coredownload.inline.pdf
ZBICINSKI I., STAVENUITER J., KOZLOWSKA B., VAN DE COEVERING H. 2006. Product design and life cycle assessment. Ser. Environmental Management. No. 3. Uppsala. The Baltic University Press. ISBN 91-975526-2-3 pp. 314.

ADRIANTO O, SUDIRMAN, SUWANDI 2019. Analisis daerah rawan kekeringan lahan jagung berdasarkan iklim Oldeman dan ketersedian air tanah di Nusa Tenggara timur saat periode El Nino dan La Nina [Analysis of areas prone to drought in corn fields based on Oldeman’s climate and availability of ground-water in East Nusa Tenggara during El Nino and La Nina periods]. Seminar Nasional Geomatika. Vol. 3, 1219 p. 1219– 1228. DOI 10.24895/SNG.2018.3-0.1047.
AL-ANSARI N. 2013. Management of water resources in Iraq: Perspectives and prognoses. Engineering. Vol. 5(6) p. 667–684. DOI 10.4236/eng.2013.58080.
BPS 2015. Statistik air bersih 2010–2014 [Freshwater statistic 2010– 2014]. Jakarta. Badan Pusat Statistik. ISSN 0853-6449 pp. 227.
BPS Provinsi Nusa Tenggara Timur 2019. Nusa Tenggara Timur dalam Angka 2019 [East Nusa Tenggara province in Figures 2019]. Sumba. Badan Pusat Statistik Provinsi Nusa Tenggara Timur. ISSN 0215-2223 pp. 595.
HAMIDI M. 2020. The key role of water resources management in the Middle East dust events. Catena. Vol. 187 p. 1–12. DOI 10.1016/j.catena.2019.104337.
HERCEG BULIC I., BRANKOVIC C., KUCHARSKI F. 2011. Winter ENSO teleconnections in a warmer climate. Climate Dynamics. Vol. 38 p. 1593–1613. DOI 10.1007/s00382-010-0987-8.
KAIN M.M., WAHID A., GERU A.S. 2018. Analisis Pengaruh El Niño Terhadap Hujan di Nusa Tenggara Timur [Analysis of the effect of El Nino on Rain in East Nusa Tenggara]. Jurnal Fisika. Vol. 3(2) p. 155–162.
KUMAR C.P. 2012. Climate change and its impact on groundwater resources. International Journal of Engineering and Science. Vol. 1(2) p. 43–60.
KUSWANTO H., HIBATULLAH F., SOEDJONO E.S. 2019. Perception of weather and seasonal drought forecasts and its impact on livelihood in East Nusa Tenggara, Indonesia. Heliyon. Vol. 5(8), e02360 DOI 10.1016/j.heliyon.2019.e02360.
KUSWANTO H., INAS R., FITHRIASARI K. 2018. Drought risk mapping in East Nusa Tenggara Indonesia based on return periods. Asian Journal of Scientific Research. Vol. 11(4), 489497 DOI 10.3923/ajsr.2018.489.497.
Ministerial declaration of The Hague on water security in the 21st Century [online]. [Access 10.05.2020]. Available at: https://www.worldwatercouncil.org/sites/default/files/World_Water_Forum_02/The_Hague_Declaration.pdf
MoE 2007. Indonesia country Report: Climate variability and climate change and their implication. Jakarta. Ministry of Environment pp. 67.
NAYLOR R., FALCON W., WADA W., ROCHBERG D. 2002. Using El Niño- Southern oscillation climate data to improve food policy planning in Indonesia. Bulletin of Indonesia Economic Studies. Vol. 38(1) p. 75–91. DOI 10.1080/000749102753620293.
NUARSA I W., ADNYANA I W.S., AS-SYAKUR A.R. 2015. Pemetaan Daerah Rawan Kekeringan di Bali-Nusa Tenggara dan Hubun-gannya dengan ENSO Menggunakan Aplikasi Penginderaan Jauh [Mapping of Drought Prone Areas in Bali-Nusa Tenggara and the Relationship with Enso Using Remote Sensing Data Applications]. Jurnal Bumi Lestari. Vol. 15(1) p. 20–30.
POLADE S.D., PIERC D.W., CYAN D.R., GERSHUNOV A., DELTTINGER M.D. 2014. The key role of dry days in changing regional climate and precipitation regimes. Scientific Reports. No. 4, 4364. DOI 10.1038/srep04364.
RIWU KAHO N.P. 2014. Panduan Interpretasi dan Respon Informasi Iklim dan Cuaca untuk Petani dan Nelayan [Guide to interpretation and response of climate and weather information for farmers and fisherman] [online]. Kupang, Indonesia. ICCTF- PIKUL pp. 45. [Access 10.04.2020]. Available at: https://media.neliti.com/media/publications/247-ID-panduan-interpretasi-dan-respon-informasi-iklim-dan-cuaca-untuk-petani-dan-nelay.pdf
SALMEYANTI R., HIDAYAT R., PRAMUDIA A. 2017. Rainfall prediction using Artificial Neural Network. Agromet. Vol. 31(1) p. 11–21. DOI 10.29244/j.agromet.31.1.11-21.
SCARSOGLIO S., LAIO F., RIDOLFI L. 2013. Climate dynamics: A network- based approach for the analysis of global precipitation. PLOS ONE. Vol. 8(8) p. 1–11. DOI 10.1371/journal.pone.0071129.
SHIKLOMANOV I.A. 2009. The hydrological cycle. Encyclopedia of life support system. St. Petersburg. EOLSS. ISBN 978-1-84826-024-5 pp. 348.
SIPAYUNG S.B., SUSANTI I., MARYADI E., NURLATIFAH A., SISWANTO B., NAFAYEST M., PUTRI F.A., HERMAWAN E. 2019. Analysis of drought potential in Sumba Island until 2040 caused by climate change. Journal of Physics: Conference Series. Vol. 1373, 012004. DOI 10.1088/1742-6596/1373/1/012004.
SURMAINI E., FAQIH A. 2016. Kejadian iklim ekstrim dan dampaknya terhadap pertanian tanaman pangan di Indonesia [Extreme climate events and their impacts on food crop in Indonesia]. Jurnal Sumberdaya Lahan. Vol. 10(2) p. 115–128.
TUKIDIN 2010. Karakter curah hujan di Indonesia [The character of Indonesian rainfall]. Jurnal Geografi FIS UNNES. Vol. 7(2) p. 136–145.
VENITSIANOV E., ADGIENKO G. 2018. Water is non-renewable resource [online]. Quard Research. Network and Australian Institute of Marine Science, Townsville, Australia: Quard Alliance SA. [Access 10.05.2020]. Available at: http://www.quard.org/water-crisis/quard-research/water-is-non-renewable-resource
WFP 2016. The impact of drought on households in four provinces in Eastern Indonesia [online]. Rome, Italy. World Food Programme pp. 88. [Access 10.05.2020]. Available at: https://documents.wfp.org/stellent/groups/public/documents/ena/wfp282160.pdf?_ga=2.57554346.1436474840.1643878647-829348870.1643878647
WWC 2000. From vision to action. [2nd World Water Forum]. [The Hague, March 2000].

AVAKYAN A.B., SALTANKIN V.P., SHARAPOV V.A. 1987. Vodohranilischa [Reservoirs]. Moskva. Myisl pp. 326.
BAHROUN S., CHAIB W. 2017. The quality of surface waters of the dam reservoir Mexa, Northeast of Algeria. Journal of Water and Land Development. No. 34 p. 11–19. DOI 10.1515/jwld-2017-0034.
DENISOVA A.I., TIMCHENKO V.M., NAHSHINA E.P., NOVIKOV B.I., RYABOV A.K., BASS YA.I. 1989. Gidrologiya i gidrohimiya Dnepra i ego vodohranilisch [Hydrology and hydrochemistry of the Dnieper and its reservoirs]. Kiev. Naukova dumka. ISBN 5-12-000805-4 pp. 216.
DUBNYAK S., TIMCHENKO V. 2000. Ecological role of hydrodynamic processes in the Dnieper reservoirs. Ecological Engineering. Vol. 16(1) p. 181–188. DOI 10.1016/S0925-8574(00)00103-8. FAO undated. Aquastat [online]. [Access 30.04.2020]. Available at: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en
HREBIN V.V., KHILCHEVSKYI V.K., STASHUK V.A., CHUNAROV O.V., YAROSHEVYCH O.IE. 2014. Vodnyi fond Ukrainy. Shtuchni vodoimy – vodoskhovyshcha i stavky [Water fund of Ukraine: Artificial body of water – reservoirs and ponds]. Eds V.K. Khilchevskyi, V.V. Hrebin. Kyiv. Interpres. ISBN 978- 96501-098-2 pp. 164.
ICOLD 2020. World register of dams. General synthesis [online]. International Commission on Large Dams [Access 01.04.2020]. Available at: https://www.icold-cigb.org/GB/world_register/general_synthesis.asp
KHIL’CHEVSKIY V.K. 1994. Effect of agricultural production on the chemistry of natural waters: A survey. Hydrobiological Journal. Vol. 30(1) p. 82–93.
KHIL’CHEVSKII V.K., KHIL’CHEVSKII R.V., GOROKHOVSKAYA M.S. 1999. Environmental aspects of chemical substance discharge with river flow into water bodies of the Dnieper River basin. Water Resources. Vol. 26(4) p. 453–458.
KHILCHEVSKYI V.K., GREBIN V.V. 2020. Hydrographic monitoring of ponds in Ukraine and their classification by morphometric parameters. Proceedings XIV International Scientific Conference: Monitoring of Geological Processes and Ecological Condition of the Environment. European Association of Geoscientists & Engineers p. 1–5. DOI 10.3997/2214-4609.202056004.
KHILCHEVSKIY V.K., GREBIN V.V., ZABOKRYTSKA M.R. 2019. Abiotic typology of the rivers and lakes of the Ukrainian section of the Vistula River Basin and its comparison with results of Polish investigations. Hydrobiological Journal. Vol. 55(3) p. 95–102. DOI 10.1615/HydrobJ.v55.i3.110.
KHILCHEVSKYI V., GREBIN V., ZABOKRYTSKA M., ZHOVNIR V., BOLBOT H., PLICHKO L. 2020a. Hydrographic characteristic of ponds distribu-tion in Ukraine – basin and regional features. Journal of Water and Land Development. No. 46 (VII–IX) p. 140–145. DOI 10.24425/jwld.2020.134206.
KHILCHEVSKYI V.K., OLIINYK YA.B., ZATSERKOVNYI V.I. 2020b. Global problems of water resources scarcity. Proceedings XIV Interna-tional Scientific Conference: Monitoring of Geological Processes and Ecological Condition of the Environment. European Association of Geoscientists & Engineers p. 1–5. DOI 10.3997/2214-4609.202056001.
MANATUNGE J., PRIYADARSHANA T., NAKAYAMA M. 2008. Environmental and social impacts of reservoirs: Issues and mitigation. Oceans and Aquatic Ecosystems. Vol. 1 p. 212–255.
OSCE 2019. Analysis of the effects of the Dniester reservoirs on the state of the Dniester river. Report of the Moldovan-Ukrainian expert group [online]. Vienna–Geneva–Kyiv–Chisinau. Organization for Security and Cooperation in Europe pp. 53. [Access 30.04.2020]. Available at: https://zoinet.org/wp-content/uploads/ 2018/01/hydropower-effects_final_ENG.pdf
PALAMARCHUK M.M., ZAKORCHEVNA N.B. 2006. Vodnyi fond Ukrainy: Dovidnyk [Water fund of Ukraine. Directory]. Kyiv. Nika- Tsentr. ISBN 966-521-412-8 pp. 320.
Pravyla ekspluatatsii vodoskhovyshch Dnistrovskoho kaskadu HES i HAES pry NPR 77,10 m bufernoho vodoskhovyshcha [Rules for the operation of the Dniester cascade of HPS and PHES reservoirs at NPR 77.10 m buffer tank] 2017 [online]. Kharkiv. Ukrvodproekt pp. 106. [Access 10.04.2020]. Available at: https://uhe.gov.ua/sites/default/files/2018-11/732-39-%D0%A248_ua% 20%281%29.pdf
ROMANENKO V.D. 2018. The Dnieper reservoirs, their significance and problems. Hydrobiological Journal. Vol. 30(1) p. 3–9. DOI 10.1615/HydrobJ.v54.i3.10.
SHAPAR A.H., SKRYPNYK O.O., CHILIY D.V. 2013. Mozhlyvi tekhnichni rishennia dlia povernennia tekhnoekosystemy r. Dnipro do pryrodnoho stanu [Possible technical solutions for returning techecosystem Dnieper to the natural state]. Ekolohiia i Pryro-dokorystuvannia. No. 16 p. 83–91.
SOJKA M., JASKUŁA J., WICHER-DYSARZ J., DYSARZ T. 2016. Assessment of dam construction impact on hydrological regime changes in lowland river – a case of study: The Stare Miasto Reservoir located on the Powa River. Journal of Water and Land Development. No. 30 p. 119–125. DOI 10.1515/jwld-2016-0028.
Vodnyi kodeks Ukrainy 1995 (zi zminamy protiahom 2000–2017 rr.) [Water Code of Ukraine 1995 (with changes during 2000–2017)] [online]. Zakonodavstvo Ukrainy [Access 10.04.2020]. Available at: https://zakon.rada.gov.ua/laws/show/213/95-%D0%B2%D1%80#Text
YATSYK A.V., TOMILTSEVA A.I. 2018. Obgruntuvannia neobkhidnosti perspektyvnykh naukovykh doslidzhen na Dniprovskykh i Dnis-trovskykh vodoskhovyshchakh [Justification of the need for promising scientific research on the Dnieper and Dniester reservoirs]. Hidroenerhetyka Ukrainy. Vol. 1–2 p. 79–81.
YATSYK A.V., TOMILTSEVA A.I., TOMILTSEV M.H., VOLOSHKINA O.S. 2003. Pravyla ekspluatatsii vodoskhovyshch Dniprovskoho kaskadu [Rules for the operation of the Dnieper Cascade reservoirs]. Kyiv. Heneza. ISBN 966-504-377-3 pp. 176.

ALBERTSON O., BURRIS B., REED S., SEMON J., SMITH J. JR., WALLACE A. 1987. Design manual: dewatering municipal wastewater sludges [online]. EPA/625/1-87/014 (NTIS PB95186417). [Access 15.10.2021]. Available at: https://cfpub.epa.gov/si/si_public_re-cord_Report.cfm?Lab=NRMRL&dirEntryID=46573
CASAJUS N., PÉRIÉ C., LOGAN T., LAMBERT M.C., DE BLOIS S., BERTEAUX D. 2016. An objective approach to select climate scenarios when projecting species distribution under climate change. PLoS One. Vol. 11(3). DOI 10.1371/journal.pone.0152495e0152495.
DAMERT M., BAUMGARTNER R.J. 2017. Intra-sectoral differences in climate change strategies: evidence from the global automotive industry. Business Strategy and Environment. Vol. 27(3) p. 265– 281. DOI 10.1002/bse.1968.
DREGULO A.M. 2019. Identifikatsiya i prognozirovaniye klimaticheskoy nagruzki dlya proyektirovaniya i ekspluatatsii ilovykh kart (ploshchadok) [Identification and prediction of climatic loads for design and operation of drying beds]. Voda i ekologiya: problemy i resheniya. No. 1(77) p. 35–43. DOI 10.23968/2305-3488.2019.24.1.35-43.
DREGULO A.M. 2020. Vliyaniye klimaticheskikh faktorov na eksplua-tatsiyu prirodno-tekhnicheskikh sistem obrabotki otkhodov vodootvedeniya [Influence of climatic factors on the operation of natural and technical systems for waste treatment of waste-water disposal]. Vestnik Moskovskogo Unviersiteta. Seriya Geografiya. No. 6 p. 32–40.
DREGULO A.M., BOBYLEV N.G. 2021a. Integrated assessment of ground-water pollution from the landfill of sewage sludge. Journal of Ecological Engineering. Vol. 22(1) p. 68–75. DOI 10.12911/22998993/128872.
DREGULO A., BOBYLEV N. 2021b. Heavy metals and arsenic soil contamination resulting from wastewater sludge urban landfill disposal. Polish Journal of Environmental Studies. Vol. 30(1) p. 81–89. DOI 10.15244/pjoes/121989.
DREGULO A.M., RODIONOV V.Z. 2020. «Goryachiye tochki» KHELKOM: zhivotnovodcheskiy kompleks «Pashskiy» kak ob”yekt nakoplen-nogo vreda okruzhayushchey srede [HELCOM “hot spots”: cattle-breeding complex “Pashskiy” as the object of accumulated environmental damage]. Theoretical and Applied Ecology. No. 4 p. 49–54. DOI 10.25750/1995-4301-2020-4-049-054.
DREGULO A.M., VITKOVSKAYA R.F. 2018. Microbiological evaluation of soils of sites with accumulated ecological damage (sewage dumps). Fiber Chemistry. Vol. 50(3) p. 243–247. DOI 10.1007/s10692-018-9969-0.
DREGULO A.M., VITKOVSKAYA R.F. 2020. Analysis of foreign and domestic practice of operating sludge platforms to minimize negative environmental impact. IOP Conference Series: Earth and Environmental Science. Vol. 613, 012026. DOI 10.1088/1755-1315/613/1/012026.
DROZDOV O.A. 1954. O svoystvakh integral’no-raznostnykh krivykh [On the properties of integral-difference curves]. Trudy Gosu-darstvennoy geofizicheskoy observatorii. Vyp. 162. Leningrad p. 3–6.
EL-GENDY A.S., EL-KASSAS H.I., RAZEK T.M.A., ABDEL-LATIF H. 2017. Phyto-dewatering of sewage sludge using Panicum repens L. Water Science and Technology. Vol. 75(7) p. 1667–1674. DOI 10.2166/wst.2017.039.
EVILEVICH A.Z. 1957. K raschetu ilovykh ploshchadok [To the calculation of sludge-drying beds]. Vodosnabzheniye i sanitar-naya tekhnika. No. 10 p. 30–32.
HAANDEN A., LUBBE J. 2007. Biological waste water treatment – Design and optimisation of activated sludge system. Leidschendam. Quist Publishing. ISBN 9781780407753 pp. 360.
JAWECKI B., PAWĘSKA K., SOBOTA M. 2017. Operating household wastewater treatment plants in the light of binding quality standards for wastewater discharged to water bodies or to soil. Journal of Water and Land Development. No. 32 (I–III) p. 31–39. DOI 10.1515/jwld-2017-0004.
KATTSOV V.M. (ed.) 2017. Doklad o klimaticheskikh riskakh na territorii Rossiyskoy Federatsii [Report on climate risks in the Russian Federation]. Saint-Petersburg. Glavnaya geofizicheskaya observatoriya im. A. I. Voyeykova. ISBN 978-9500833-1-5 pp. 105.
NIELSEN S., STEFANAKIS A.I. 2020. Sustainable dewatering of industrial sludges in sludge treatment reed beds: Experiences from pilot and full-scale studies under different climates. Applied Sciences. Vol. 10(21), 7446. DOI 10.3390/app10217446.
PANDEY M.K., JENSSEN P.D. 2015. Reed beds for sludge dewatering and stabilization. Journal of Environmental Protection. Vol. 06(04) p. 341–350. DOI 10.4236/jep.2015.64034.
Rosgidromet 2016. Doklad ob osobennostyakh klimata na territorii Rossiyskoy Federatsii za 2018 god [A report on climate features on the territory of The Russian Federation in 2018]. Moskva. Federal’naya sluzhba po gidrometeorologii i monitoringu okru-zhayushchey sredy. ISBN 978-5-906099-58-7 pp. 70 [online]. [Access 10.10.2020]. Available at: http://www.meteorf.ru/upload/pdf_download/%D0%94%D0%BE%D0%BA%D0%BB%D0%B0% D0%B42016.pdf
Rosgidromet 2019. Doklad ob osobennostyakh klimata na territorii Rossiyskoy Federatsii za 2018 god [A report on climate features on the territory of The Russian Federation in 2018]. Moskva. Federal’naya sluzhba po gidrometeorologii i monitoringu okru-zhayushchey sredy. ISBN 978-5-906099-58-7 pp. 79.
ROSER-RENOUF C., MAIBACH E.W., LI J. 2016. Adapting to the changing climate: An assessment of local health department preparations for climate change-related health threats 2008–2012. PloS ONE. Vol. 11(3). DOI 10.1371/journal.pone.0151558.
SP 32.13330.2012. Kanalizatsiya. Naruzhnyye seti i sooruzheniya. Aktualizirovannaya redaktsiya SNiP 2.04.03-85 [Sewerage. Out-door networks and structures. Updated version of SNiP 2.04.03- 85] [online]. [Access 10.10.2020]. Available at: http://docs.cntd.ru/document/1200094155
VORONOV Y.V., YAKOVLEV S.V. 2006. Vodootvedeniye i ochistka stochnykh vod. Uchebnoye izdaniye [Water disposal and waste-water treatment. Textbook for universities]. Moskva. Izdatel’stvo ASV. ISBN 5-93093-119-4 pp. 677.
ZOLINA O.G., BULYGINA O.N. 2016. Sovremennaya klimaticheskaya izmenchivost’ kharakteristik ekstremal’nykh osadkov v Rossii [Current climatic variability of extreme precipitation in Russia]. Fundamental’naya i prikladnaya klimatologiya. No. 1 p. 84–103. DOI 10.21513/2410-8758-2016-1-84-103.

ALIMOVA M. 2021. Agropromyshlennyy kompleks [Agro-industrial complex]. Neytral’nyy Turkmenistan. Gosudarstvennaya gazeta Turkmenistana. No. 49 (29742) 25.02.2021 p. 4.
BERDIMYRADOV D. 2014. Ýyllyk hasabat [Annual report]. Mary welaýatynyň Ýolöten şäherindäki ylmy-tohumçylyk merkezi. Yoloten pp. 6.
IBRAGIMOV N., EVETT S.R., ESANBEKOV Y., KAMILOV B.S., MIRZAEV L., LAMERS J.P. 2007. Water use efficiency of irrigated cotton in Uzbekistan under drip and furrow irrigation. Agricultural Water Management. Vol. 90(1–2) p. 112–120. DOI 10.1016/j.agwat.2007.01.016
KULMEDOV B., SHCHERBAKOV V.I. 2014. Ispol’zovaniye kapel’nogo orosheniya sel’skokhozyaystvennykh zemel’ v basseyne reki Amudar’ya. V: Tekhnologii ochistki vody «TEKHNOVOD- 2014». Materialy VIII mezhdunarodnoy nauchno-prakticheskoy konferentsii «TEKHNOVOD» [Use of drip irrigation of agri-cultural lands in the Amu Darya river basin. In: Water purification technologies “TECHNOVOD-2014”. Materials of the VIII International Scientific and Practical Conference “TECHNOVOD”]. 23–24.10.2014 Sochi. Novocherkatstsk. Lik p. 29–33.
KURTOVEZOV G.D., TAGANOV CH.K., KURTOVEZOV B. 2019. Rekomendatsii po proyektirovaniyu sistem kapel’nogo orosheniya sel’skokho-zyaystvennykh kul’tur, vinogradnikov, sadov i lesnykh nasazhde-niy dlya usloviy Turkmenistana [Recommendations for the design of a drip irrigation system for crops, vineyards, orchards and forest plantations for the conditions of Turkmenistan]. Ashgabat pp. 242.
LIU S., LUO G., WANG H. 2020. Temporal and spatial changes in crop water use efficiency in Central Asia from 1960 to 2016. Sustainability. Vol. 12(2), 572 pp. 18. DOI 10.3390/su12020572.
NARBAYEV M., ISMAILOVA G.K., NARBAYEVA K.T. 2014. Ekologicheskiye voprosy oroshayemogo zemledeliya v Tsentral’noy Azii. Mezh-dunarodnyy forum «Inzhenernoye obrazovaniye i nauka v XXI veke: Problemy i perspektivy» posvyashchennoy [Environmental issues of irrigated land in Central Asia. International Forum “Engineering Education and Science in the XXI Century: Problems and Prospects”]. 22–24.10.2014. Almaty. Kazakhskiy natsional’nyy tekhnicheskiy universitet p. 627–633.
REDDY J.M., MUHAMMEDJANOV S., JUMABOEV K., ESHMURATOV D. 2012. Analysis of cotton water productivity in Fergana Valley of Central Asia. Agricultural Sciences. Vol. 3(6) p. 822–834. DOI 10.4236/as.2012.36100.
SHCHERBAKOV V.I., KULMEDOV B. 2017. Ratsional’noye ispol’zovaniye i okhrana vodnykh resursov basseyna reki Amudar’ya. V: Yakovlevskiye chteniya: sbornik dokladov XII Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii, posvyashchennoy pamyati akademika
RAN S.V. Yakovleva [Rational use and protection of water resources of the Amu Darya river basin. In: Yakovlev Readings: A collection of reports of the XII International Scientific and Technical Conference dedicated to the memory of Academician of the Russian Academy of Sciences S.V. Yakovlev]. Moscow. NIU MGTSU p. 241–247. STANCHIN I., LERMAN Z. 2017. Wheat production in Turkmenistan: Reality and expectations. In: The Eurasian wheat belt and food security: Global and regional aspects. Eds. S.G. Paloma, S. Mary, S. Langrell, P. Ciaian. Cham. Springer p. 215–228. Turkmen Stat 2020. Türkmenistanyň ýyllyk statistik neşiri 2019 [Statistical yearbook of Turkmenistan 2019]. Ashgabat. Türkme-nistanyň Statistika baradaky döwlet komiteti pp. 182.
UNDP, WHO 2009. The Energy Access Situation In Developing Countries. A Review Focusing on the Least Developed Countries and Sub-Saharan Africa [online]. New York, NY. United Nations Development Programme, World Health Organization. [Access 28.10.2019] Available at: http://www.undp.org/content/dam/ undp/library/Environment%20and%20Energy/Sustainable%20Energy/energy-access-situation-in-developing-countries.pdf
ZHUPANKHAN A., TUSSUPOVA K., BERNDTSSON R. 2017. Could changing power relationships lead to better water sharing in Central Asia? Water. Vol. 9(2), 139. DOI 10.3390/w9020139.
ZONN I.S., KOSTIANOY A.G. 2013. The Turkmen Lake Altyn Asyr and water resources in Turkmenistan. Ser. The Handbook of Environmental Chemistry. Vol. 28. Berlin, Heidelberg Springer. ISBN 978-3-642-38607-7 pp. XII+123.

ADEDIJI A., TUKUR A.M., ADEPOJU K.A. 2010. Assessment of Revised Universal Soil Loss Equation (RUSLE) in Katsina Area, Katsina State of Nigeria using Remote Sensing (RS) and Geographic Information System (GIS). Iranian Journal of Energy and Environment. Vol. 1(3) p. 255–264.
ALEXAKIS D.D., HADJIMITSIS D.G., AGAPIOU A. 2013. Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus. Atmospheric Research. Vol. 131 p. 108–124. DOI 10.1016/j.atmosres.2013.02.013.
ARIF A. 2013. Study of erodibility level of several land types in Baturagung Mountains Putat Village and Nglanggeran District Patuk Gunungkidul Regency. Information. Vol. 39. No. 2 p. 15– 31. DOI 10.21831/informasi.v0i2.4441.
ARMIDO A., AZMERI A., FATIMAH E., NURBAITI N., YOLANDA S.N. 2020. The sedimentation datasets of Keuliling Reservoir. Data in Brief. Vol. 32, 106181. DOI 10.1016/j.dib.2020.106181.
ARNOLDUS H.M.J. 1980. An approximation of the rainfall factor in the Universal Soil Loss Equation. In: Assessment of erosion. Eds. M. De Boodt, D. Gabriels. Chichester, UK. Wiley p. 127–132.
ARSYAD S. 2012. Conservation of Land and Water. Second edition. IPB Press, Bogor. ISBN 979-493-003-2 pp. 96. ASDAK C. 2014. Hydrology and watershed management. 3rd edition. Yogyakarta. Gajah Mada University Press. ISBN 979-420-737-3 pp. 625.
AZMERI A., LEGOWO S., REZKYNA N. 2020. Interphase modeling of soil erosion hazard using a Geographic Information System and the Universal Soil Loss Equation. Journal of Chinese Soil and Water Conservation. Vol. 51(2) p. 65–75. DOI 10.29417/JCSWC.202006_51(2).0003.
AZMERI, HADIHARDAJA I.K., VADYA R. 2016. Identificationof flashfloodhazard zones in the small mountainous watershed of Aceh Besar Regency, Aceh Province, Indonesia. The Egyptian Journal of Remote Sensing and Space Sciences. Vol. 19 p. 143–160. DOI 10.1016/j.ejrs.2015.11.001.
BENZER N. 2010. Using the geographical information system and remote sensing techniques for soil erosion assessment. Polish Journal of Environmental Study. Vol. 19(5) p. 881–886.
BISWAS S. 2012. Estimation of soil erosion using remote sensing and GIS and prioritization of catchments. International Journal of Emerging Technology and Advanced Engineering. Vol. 2(7) p. 124–128.
BWS Sumatera I. 2018. Report of Survey and Sedimentation Study of Keuliling Reservoir. Balai Wilayah Sungai Sumatera I. Banda Aceh pp. 181.
CHATTERJEE S., KRISHNA A.P., SHARMA A.P. 2014. Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnarekha river basin, Jharkhand, India. Environmental Earth Sciences. Vol. 71(1) p. 357–374.
DABRAL P.P., BAITHURI N., PANDEY A. 2008. Soil erosion assessment in a hilly catchment of North eastern India using USLE, GIS and remote sensing. Water Resources Management. Vol. 22(12) p. 1783–1798. DOI 10.1007/s11269-008-9253-9.
DEMIRCI A., KARABURUN A. 2012. Estimation of soil erosion using RUSLE in a GIS framework: A case study in the Buyukcekmece Lake watershed, Northwest Turkey. Environmental Earth Sciences. Vol. 66 p. 903–913.
DUTA S. 2016. Soil erosion, sediment yield and sedimentation of reservoir: A review. Modeling Earth Systems and Environment. Vol. 2, 123. DOI 10.1007/2Fs40808-016-0182-y.
DOUCET-BEER E. 2011. Modelling alternative agricultural scenarios using RUSLE and GIS to determine erosion risk in the Chippewa River Watershed, Minnesota [online]. PhD Thesis. University of Michigan pp. 87. [Access 10.03.2021]. Avalable at: http://hdl.handle.net/2027.42/88166.https://deepblue.lib.umich.edu/bit-stream/handle/2027.42/88166/EDoucetBeer_MS_Practicum_F-inal.pdf?sequence=1&isAllowed=y
FU B.J., ZHAO W.W., CHEN L.D., ZHANG Q.J., LU Y.H., GULINCK H., POESEN J. 2005. Assessment of soil erosion at large watershed scale using RUSLE and GIS: A case study in the Loess Plateau of China. Land Degradation & Development. Vol. 16, 7385. DOI 10.1002/ldr.646.
HAREGEWEYN N., POESEN J., NYSSEN J., GOVERS G., VERSTRAETEN G., DECKERS J., MOEYERSONS J., HAILE M., DE VENTE J. 2008. Sediment yield variability in Northern Ethiopia: A quantitative analysis of its controlling factors. Catena. Vol. 75 p. 65–76. DOI 10.1016/j.catena.2008.04.011.
HOYOS N. 2005. Spatial modeling of soil erosion potential in a tropical watershed of the Colombian Andes. Catena. Vol. 63 (1) p. 85–108. DOI https://doi.org/10.1016/j.catena.2005.05.012.
IONUŞ O., BOENGIU S., LICURICI M., POPESCU L., SIMULESCU D. 2013. Mapping soil erosion susceptibility using GIS techniques within the Danube Floodplain, the Calafat – Turnu Măgurele Sector (Romania). Journal of the Geographical Institute “Jovan Cvijic”, SASA 2013. Vol. 63. Iss. 3. Conference Issue: International Conference Natural Hazards – Link between Science and Practice p. 73–82. DOI 10.2298/IJGI1303073I.
ISSA L.K., LECH-HAB K.B.H., RAISSOUNI A., EL ARRIM A. 2016. Cartographie quantitative du risque d’erosion des sols par approche SIG/USLE au niveau dubassin versant Kalaya (Maroc Nord Occidental) [Quantitative mapping of soil erosion risk using GIS/USLE approach at the Kalaya Watershed (North Western Morocco)]. Journal of Materials and Environmental Science. Vol. 7(8) p. 2778–2795.
JIANG B. 2013. GIS-based time series study of soil erosion risk using the Revised Universal Soil Loss Equation (RUSLE) model in a microcatchment on Mount Elgon, Uganda. MSc Thesis. Department of Earth and Ecosystem Sciences Physical Geography and Ecosystems Analysis Lund University, Sweden pp. 51.
KALSUM U., YUNUS Y., FERIJAL T. 2017. Meureudu Watershed Conservation Directive using Geographic Information Systems. Vol. 2. No. 2. p. 423–429.
KAMUJU N. 2016. Soil erosion and sediment yield analysis using prototype & enhanced SATEEC GIS system models. International Journal of Advanced Remote Sensing and GIS. Vol. 5(1) p. 1471– 1482. DOI 10.23953/cloud.ijarsg.39
KIRONOTO B.A. 2003. Sediment Transpor. Civil Engineering Graduate Program UGM, Yogyakarta pp. 100.
KOTHYARI U.C., JAIN S.K. 1997. Sediment yield estimation using GIS. Hydrology Science Journal. Vol. 42 p. 833–843. DOI 10.1080/0262666970949208.
KOURGIALAS N.N., KOUBOURIS G.C., KARATZAS G.P., METZIDAKIS I. 2016. Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: The effect of climate change. Natural Hazards. Vol. 83(1) p. 65–81. DOI 10.1007/s11069-016-2354-5.
KURNIA U., SUWARDJO H. 1984. Erosion sensitivity of several soil types in Java according to the USLE Method. Pemberitaan Penelitian Tanah dan Pupuk. No. 3 p. 17–20.
LAL R. 2001. Soil degradation by erosion. Land Degradation and Development. Vol. 12(6) p. 519–539. DOI 10.1002/ldr.472.
LEGOWO S., HADIHARDAJA I.K., AZMERI 2009. Estimation of bank erosion due to reservoir operation in cascade (Case study: Citarum cascade reservoir). ITB ITB Journal of Engineering Science. Vol. 41(2) p. 148–166. DOI 10.5614/itbj.eng.sci.2009.41.2.5
LIM J.K., SAGONG M., ENGEL B.A., TANG Z., CHOI J., KIM K. 2005. GIS based sediment assessment tool. Catena. Vol 64 p. 61–80. DOI 10.1016/J.CATENA.2005.06.013.
MERRITT W.S., LETCHER R.A., JAKEMAN A.J. 2003. A review of erosion and sediment transport models. Environmental Modelling and Software. Vol. 18 p. 761–799. DOI 10.1016/S1364-8152(03)00078-1.
MEUSBURGER K., BÄNNINGER D., ALEWELL C. 2010. Estimating vegeta-tion parameter for soil erosion assessment in an alpine catchment by means of QuickBird imagery. International Journal of Applied Earth Observation and Geoinformation. Vol. 12 p. 201–207. DOI 10.1016/j.jag.2010.02.009.
NAMR K.I., MRABET R. 2004. Influence of agricultural management on chemical quality of a clay soil of semi-arid Morocco. Journal of African Earth Sciences. Vol. 39 p. 485–489. DOI 10.1016/j.jafrearsci.2004.07.016.
PANDEY A., CHOWDARY V.M., MAL B.C. 2007. Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resources Management. Vol. 21(4) p. 729–746. DOI 10.1007/s11269-006-9061-z.
PARK S., OH C., JEON S., JUNG H., CHOI C. 2011. Soil erosion risk in Korean watershed, assessed using Revised Universal Soil Loss Equation. Journal Hydrology. Vol. 399(3–4) p. 263–273. DOI 10.1016/j.jhydrol.2011.01.004.
PEROVIĆ V., ŽIVOTIĆ L., KADOVIĆ R., ĐORĐEVIĆ A., JARAMAZ D., MRVIĆ V., TODOROVIĆ M. 2013. Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia. Environmental Earth Sciences. Vol. 68 p. 115–128. DOI 10.1007/s12665-012-1720-1.
PRASANNAKUMAR V., VIJITH H., ABINOD S., GEETHA N. 2012. Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geoscience Frontiers. Vol. 3(2) p. 209–215. DOI 10.1016/j.gsf.2011.11.003.
RAHMAN M.R., SHI Z.H., CHONGFA C. 2009. Soil erosion hazard evaluation – An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies. Ecological Modelling. Vol. 220. Iss. 13–14 p. 1724–1734. DOI 10.1016/j.ecolmodel.2009.04.004.
SAHU A., BAGHEL T., SINHA M.K., AHMAD I., VERMA M.K. 2017. Soil erosion modeling using Rusle and GIS on Dudhawa catchment. International Journal of Applied Environmental Sciences. Vol. 12. No. 6 p. 1147–1158.
SHEIKH A.H., PALRIA S., ALAM A. 2011. Integration of GIS and Universal Soil Loss Equation (USLE) for soil loss estimation in a Himalayan watershed. Recent Research in Science and Technology. Vol. 3(3) p. 51–57.
Peraturan Direktur Jenderal Bina Pengelolaan Daerah Aliran Sungai dan Perhutanan Sosial nomor: P. 3/V-SET/2013 tentang pedoman identifikasi karakteristik daerah aliran sungai [The Regulation of the Director-General of Watershed Management and Social Forestry of the Republic of Indonesia number P. 3/V-SET/2013 regarding guidelines for identifying watershed characteristics] [online]. [Access 15.02.2020]. Available at: https://www.course-hero.com/file/44617251/P3-V-SET-2013-PEDOMAN-IDENTI-FIKASI-KARAKTERISTIK-DAERAH-ALIRAN-SUNGAIpdf/
Peraturan Menteri Kehutanan Republik Indonesia nomor: P. 61 /Menhut-II/2014 tentang monitoring dan evaluasi pengelolaan daerah aliran sungai [Regulation of the Minister of Forestry of the Republic of Indonesia number: P. 61 /Menhut-II/2014 regarding monitoring and evaluation of watershed management] [online]. [Access 15.02.2020]. Available at: http://satudata.semarangkota.go.id/adm/file/20171004150653PERMENKEMENHUTNo-morP.61-MENHUT-II-2014Tahun2014kemenhutnop.61-menhut-II-2014.pdf
Qanun Kabupetan Aceh Besar nomor 4 tahun 2013 tentang rencana tata ruang Willayah Kabupaten Aceh Besar tahun 2012–2032 [The Regulation of the spatial plan for the Aceh Besar Regency, 2012– 2032] [online]. [Access 15.02.2020]. Available at: http://bappeda.acehbesarkab.go.id/?p=820
TATIPATA W.H., SOEKARNO I., SABAR A., DAN LEGOWO S. 2015. Analysis of settle sediment volumes after t-year reservoirs in operation (Case study: Cirata Reservoir). Journal of Civil Engineering Theoretical and Applied Journal of Civil Engineering. Vol. 22(3) p. 235–242. DOI 10.5614/jts.2015.22.3.7.
UDDIN K., MURTHY M.S.R., SHAHRIAR M., WAHID MIR A., MATIN 2016. Estimation of Soil Erosion Dynamics in the Koshi Basin Using GIS and Remote Sensing to Assess Priority Areas for Conserva-tion. PLOS ONE. Vol. 1(3), e0150494. DOI 10.1371/journal.pone.0150494.
VERSTRAETEN G., POESEN J. 2001. Variability of dry sediment bulk density between and within retention ponds and its impact on the calculation of sediment yield. Earth Surface Processes and Landforms. Vol. 26 p. 375–394. DOI 10.1002/esp.186.
VIJITH H., MADHU G. 2008. Estimating potential landslide sites of an upland sub-watershed in Western Ghat’s of Kerala (India) through frequency ratio and GIS. Environmental Geology. Vol. 55(7) p. 1397–1405. DOI 10.1007/s00254-007-1090-2.
WISCHMEIER W.H., SMITH D.D. 1978. Predicting rainfall erosion losses – A guide to conservation planning. Agriculture Handbook. No. 537. Washington, DC, USA. US Department of Agriculture Science and Education Administration pp. 168.
XU Y., SHAO X., KONG X., PENG J., CAI Y. 2008. Adapting the RUSLE and GIS to model soil erosion risk in a mountains karst watershed, Guizhou Province, China. Environmental Monitoring and Assessment. Vol. 141 p. 275–286. DOI 10.1007/s10661-007-9894-9.
ZARFL C., LUCIA A. 2018. The connectivity between soil erosion and sediment entrapment in reservoirs. Current Opinion in Environ-mental Science & Health. Vol. 5 p. 53–59. DOI https://dx.doi.org/10.1016/j.coesh.2018.05.001.
ZHANG K., SHU A., XU X., YANG Q., YU B. 2008. Soil erodibility and its estimation for agricultural soils in China. Journal of Arid Environments. Vol. 72 p. 1002–1011. DOI 10.1016/j.jaridenv.2007.11.018.

BECZEK M., RYŻAK M., SOCHAN A., MAZUR R., POLAKOWSKI C., HESS D., BIEGANOWSKI A. 2020. Methodological aspects of using high-speed cameras to quantify soil splash phenomenon. Geoderma. Vol. 378, 14592. DOI 10.1016/j.geoderma.2020.114592.
CHAUDHRY M.H. 2008. Open-channel flow. 2nd ed. Springer Science + Business Media, LLC, New York, USA. ISBN 978-0-387-30174-7 pp. 523.
CHOW V.T. 1959. Open channel hydraulics. McGraw Hill. ISBN 07-010776-9 pp. 702.
DEY S. 2014. Fluvial hydrodynamics. Ser. GeoPlanet: Earth and Planetary Sciences. Berlin, Germany. Springer-Verl. ISBN 978- 3642190612 pp. 719.
ETTEMA R. 2000. Hydraulic modeling. Concepts and practices. ASCE Manuals and Reports on Engineering Practice. No. 97. ISBN 978- 0784404157 pp. 390.
HADDAD S., BOUHADEF M. 2019. Contribution à l’étude du phénomène de transport des sédiments par érosion des sols [Contribution to the study of the phenomenon of sediment transport by soil erosion] [online]. PhD Thesis. Algiers, Algeria.
USTHB pp. 136. [Access 10.02.2021]. Available at: http://repository.usthb.dz//xmlui/handle/123456789/8210
HADDAD S., BOUHADEF M. 2018. Contribution to runoff erosion of earthen channels. Polish Journal of Soil Science. Vol. 51. No. 2 p. 313–325. DOI 10.17951/pjss.2018.51.2.313.
HENDERSON F.M. 1966. Open channel flow. New York, USA. MacMillan Company. ISBN 978-0023535109 pp. 522.
KRAATZ D.B. 1977. Irrigation channel lining. FAO. Italy. ISBN 9251001650 pp. 199.
LANE E.W. 1953. Progress report on studies on the design of stable channels. Bureau of Reclamation. Proceedings. No. 79. New York, USA. ASIN B0007I585M pp. 31.
LANE E.W. 1955. Design of stable alluvial channels. Transactions of the American Society of Civil Engineers. Vol. 120. Iss. 1 p. 1234– 1260.
MASSÉ P. 1938. Ressaut et ligne d’eau dans les cours d’eau à pente variable [Hydraulic jump and flow profile in channels of variable slope]. Revue Générale de l’Hydraulique. Vol. 4. No. 19 p. 7–11.
POINCARÉ H. 1881. Mémoires sur les courbes définies par une équation différentielle [Memoir on the curves defined by a differential equation] [online]. Journal de Mathématiques Pures et Appli-quées. Ser. 3. Vol. 7 p. 375–422. [Access 10.02.2021]. Available at: http://sites.mathdoc.fr/JMPA/PDF/JMPA_1881_3_7_A20_0.pdf
PUGH C.A. 1985. Hydraulic model studies of fuse plug embankments [online]. Denver, CO. Bureau of Reclamation, Engineering and Research Center. Report No. REC-ERC-85-7 pp. 33. [Access 20.02.2021]. Available at: https://www.usbr.gov/tsc/techrefer-ences/rec/REC-ERC-85-7.pdf
SMERDON E.T, BEASLEY R.P. 1959. The tractive force theory applied to stability of open channels in cohesive soils [online]. Columbia, MO. University of Missouri, Missouri. USA. Agricultural Experiment Station. Research Bulletin. No. 715 pp. 36. [Access 20.02.2021]. Available at: https://mospace.umsystem.edu/xmlui/ handle/10355/58141
TROUT T.J., NEIBLING W.H. 1993. Erosion and sedimentation processes on irrigated fields. Journal of Irrigation and Drainage Engineer-ing. Vol. 119. No. 6. DOI 10.1061/(ASCE)0733-9437(1993)119:6(947).
YALIN M.S. 1971. Theory of hydraulic models. London. Macmillan Civil Engineering Hydraulics. The Macmillan Press LTD, USA. ISBN 978-0408004824 pp. 266.

DAHLIN T. 1996. 2D resistivity surveying for environmental and engineering applications. First Break. Vol. 14. Iss. 7 p. 275–284. DOI 10.3997/1365-2397.1996014.
FOSTER C., GIBSON A., WILDMAN G. 2008. The new national Landslide Database and Landslide hazard assessment of Great Britain [online]. First World Landslide Forum. Tokyo, Japan 18–21 November 2008 p. 203–206. [Access 05.09.2020]. Available at: http://nora.nerc.ac.uk/4694/
FRODELLA W., FIDOLINI F., MORELLI S., PAZZI V. 2015. Application of Infrared Thermography for landslide mapping: the Rotolon DSGDS case study. Rendiconti Online della Società Geologica Italiana. No. 35 p. 144–147. DOI 10.3301/ROL.2015.85.
FRODELLA W., GIGLI G., MORELLI S., LOMBARDI L., CASAGLI N. 2017. Landslide mapping and characterization through Infrared Thermography (IRT): Suggestions for a methodological approach from some case studies. Remote Sensing. Vol. 9(12), 1281. DOI 10.3390/rs9121281.
FRODELLA W., MORELLI S., GIGLI G., CASAGLI N. 2014. Contribution of infrared thermography to the slope instability characterization. [online] Proceedings of World Landslide Forum 3. Beijing, China 2–6 June 2014. [Access 05.09.2020]. Available at: http://hdl.handle.net/11576/2690166
GARCÍA-RODRÍGUEZ M.J., MALPICA J.A., BENITO B., DIAZ M. 2008. Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression. Geomorphology. Vol. 95. Iss. 3 p. 172–191. DOI 10.1016/j.geomorph.2007.06.001.
GIGLI G., FRODELLA W., GARFAGNOLI F., MORELLI S., MUGNAI F., MENNA F., CASAGLI N. 2014. 3-D geomechanical rock mass characterization for the evaluation of rockslide susceptibility scenarios. Land-slides. Vol. 11 p. 131–140. DOI 10.1007/s10346-013-0424-2.
IVANIK O., SHEVCHUK V., KRAVCHENKO D., YANCHENKO V., SHPYRKO S., GADIATSKA K. 2019. Geological and geomorphological factors of natural hazards in Ukrainian Carpathians. Journal of Ecological Engineering. Vol. 20. Iss. 4 p. 177–186. DOI 10.12911/22998993/102964.
JABOYEDOFF M., OPPIKOFER T., ABELLÁN A., DERRON M.-H., LOYE A., METZGER R., PEDRAZZINI A. 2012. Use of LIDAR in landslide investigations: A review. Natural Hazards. No. 61 p. 5–28. DOI 10.1007/s11069-010-9634-2.
MARESCOT L., MONNET R., CHAPELLIER D. 2008. Resistivity and induced polarization surveys for slope instability studies in the Swiss Alps. Engineering Geology. Vol. 98(1) p. 18–28. DOI 10.1016/j.enggeo.2008.01.010.
MENSHOV O., SHEVCHENKO O., ANDREEVA O. 2020. Integration of magnetic and hydrogeological studies for landslides and soil erosion assessment. Case study from area Lake Glinka (Kyiv, Ukraine). Geoinformatics: Theoretical and Applied Aspects 2020. Conference Proceedings. Vol. 2020. 11–14.05.2020. Kyiv p. 1–5. European Association of Geoscientists & Engineers. DOI 10.3997/2214-4609.2020geo122.
MYKOLAENKO O.A., ZHYRNOV P.V., TOMCHENKO O.V., PIDLISETSKA I.O. 2020. Exogenic processes’ remote monitoring of Kanivske Reservoir’s right bank. Geoinformatics: Theoretical and Applied Aspects 2020. Conference Proceedings. Vol. 2020. 11–14.05.2020. Kyiv p. 1–5. European Association of Geoscientists & Engineers. DOI 10.3997/2214-4609.2020geo099.
PATELLA D. 1997. Introduction to ground surface self-potential tomography. Geophysical Prospecting. Vol. 45. Iss. 4 p. 653– 681. DOI 10.1046/j.1365-2478.1997.430277.x.
PERRONE A., LAPENNA V., PISCITELLI S. 2014. Electrical resistivity tomography technique for landslide investigation: A review. Earth-Science Reviews. Vol. 135 p. 65–82. DOI 10.1016/j.earscirev.2014.04.002.
REYNOLDS J. M. 2011. An introduction to applied and environmental geophysics. Chichester. John Wiley and Sons Ltd. ISBN 978-0- 471-48535-3 (pbk) pp. 710.
SANTOSO B., HASANAH M.U., SETIANTO 2019. Landslide investigation using self potential method and electrical resistivity tomography (Pasanggrahan, South Sumedang, Indonesia). IOP Conference Series: Earth and Environmental Science. Vol. 311 p. 1–9. International Symposium on Geophysical Issues. 2–4.06.2018, Bandung, Indonesia. DOI 10.1088/1755-1315/311/1/012068.
TELFORD W.M., GELDART L.P., SHERIFF R.E. 1990. Applied geophysics. Cambridge. Cambridge University Press. ISBN 9780521339384 pp. 792. DOI 10.1017/CBO9781139167932.
TEZA G., MARCATO G., CASTELLI E., GALGARO A. 2012. IRTROCK: A Matlab toolbox for contactless recognition of surface and shallow weakness traces of a rock mass by infrared thermo-graphy. Computers & Geosciences. Vol. 45 p. 109–118. DOI 10.1016/j.cageo.2011.10.022.
VYZHVA S., ONYSHCHUK V., ONYSHCHUK I., REVA M., SHABATURA O. 2019. Application of geophysical methods in the study of landslides. 18th International Conference on Geoinformatics – Theoretical and Applied Aspects. Kyiv, May 2019. European Association of Geoscientists & Engineers Source p. 1–5. DOI 10.3997/2214-4609.201902066.
WU J.H., LIN H.M., LEE D.H., FANG S.C. 2015. Integrity assessment of rock mass behind the shotcreted slope using thermography. Engineering Geology. Vol. 80. No. 1–2 p. 164–173. DOI 10.1016/j.enggeo.2005.04.005.

ALLER L., BENNET T., LEHER J.H., PETTY R.J., HACKETT G. 1987. DRASTIC: A standardized system for evaluating ground water pollution potential using hydrogeological settings. (EPA600/2-87-035). Ada, OK. US EPA pp. 622.
ALLEY W.M., REILLY T.E., FRANKE O.L. 1999. Sustainability of ground- water resources. Denver, CO. U.S. Geological Survey. ISBN 0-607 -93040-3 pp. 79.
ARAUZO M. 2017. Vulnerability of groundwater resources to nitrate pollution: A simple and effective procedure for delimiting nitrate vulnerable zones. Science of The Total Environment. Vol. 575 p. 799–812. DOI 10.1016/j.scitotenv.2016.09.139.
BISRI M. 2012. Air Tanah: Studi Tentang Pendugaan Air Tanah, Sumur Air Tanah dan Upaya Dalam Konservasi Air Tanah [Study on estimating groundwater, groundwater wells and efforts in groundwater conservation]. Malang. UB Press. ISBN 978-602- 203-201-4 pp. 124.
BISWAS A.K., TORTAJADA C., IZQUIERDO R. (eds.) 2009. Water manage-ment in 2020 and beyond. Ser. Water Resources Development and Management. Berlin. Springer. ISBN 978-3-642-10041-3 pp. 16+268.
DEVNITA R. 2012. Melanic and fulvic andisols in volcanic soils derived from some volcanoes in West Java. Indonesian Journal of Geology. Vol. 7(4) p. 227–240. DOI 10.17014/ijog.v7i4.149.
FOSTER S., HIRATA R., GOMES D., D’ELIA M., PARIS M. 2007. Groundwater quality protection. 2nd ed. Washington, D.C. The World Bank. ISBN 0-8213-4951-1 pp. 103.
GOGU R., DASSARGUES A. 2000. Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods. Environmental Geology. Vol. 39 p. 549–559. DOI 10.1007/s002540050466.
IMAN M.I., RIAWAN E., SETIAWAN B., ABDURAHMAN O. 2017. Air tanah untuk adaptasi perubahan iklim di Malang, Jawa Timur: Penilaian risiko penurunan ketersediaan air [Groundwater for climate change adaptation in Malang, East Java: Risk assessment of decreased water availability]. Indonesian Journal of Geology and Mining. Vol. 27(1) p. 47–46. DOI 10.14203/risetgeotam2017.v27.438.
Keputusan Menteri Negara Lingkungan Hidup nomor: 115 tahun 2003 tentang pedoman penentuan status mutu air [Decree of the State Minister of the Environment number: 115 of 2003 regarding guidelines for determining the status of water quality] [online]. [Access at 10.12.2020]. Available at: https://indok3ll.com/kepu-tusan-menteri-negara-lingkungan-hidup-nomor-115-tahun-2003/
MACHIWAL D., JHA M.K., SINGH V.P., MOHAN C. 2018. Assessment and mapping of groundwater vulnerability to pollution: Current status and challenges. Earth Science Reviews. Vol. 185 p. 901– 927. DOI 10.1016/j.earscirev.2018.08.009.
Peraturan Menteri Kesehatan Republik Indonesia No. 492/menkes/per/ iv/2010 tentang persyaratan kualitas air minum [Regulation of the Minister of Health of the Republic of Indonesia No. 492/ menkes/per/iv/2010 regarding drinking water quality require-ments] [online]. [Access 29.11.2020]. Available at: https://indok3ll.com/peraturan-menteri-kesehatan-republik-indonesia- nomor-492-menkes-per-iv-2010-tentang-persyaratan-kualitas-air-minum/
POST J.E. 1999. Manganese oxide minerals: Crystal structures and economic and environmental significance. Proceedings of the National Academy of Sciences. Vol. 96(7) p. 3447–3454. DOI 10.1073/pnas.96.7.3447.
PURWANTO S., RACHMAT A.G., SUKARMAN 2018. Karakteristik mineral tanah berbahan vulkanik dan potensi kesuburannya di Pulau Jawa [Characteristic of volcanic soil minerals and their fertility potential in Java Island. Jurnal Sumberdaya Lahan. Vol. 12(2) p. 83–98.
PUTRI D., PERDINAN 2018. Analysis of regional water availability for domestic water demand (Case study: Malang Regency). Agromet. Vol. 32(2) p. 93–102. DOI 10.29244/j.agromet.32.2.93-102.
RIBEIRO L., PINDO J.C., DOMINGUEZ-GRANDA L. 2017. Assessment of groundwater vulnerability in the Daule aquifer, Ecuador, using the susceptibility index method. Science of The Total Environment. Vol. 574 p. 1674–1683. DOI 10.1016/j.scitotenv.2016.09.004.
RIYADI A. 2018. Pendekatan daya dukung dan daya tampung air dalam perencanaan tata ruang (Study kasus Wilayah Malang) [Carrying capacity and water capacity approach in spatial planning (Case study of Malang region)]. MSc Thesis. Malang. Pascasarjana Universitas Brawijaya pp. 153.
SALMAN S.A., ARAUZO M., ELNAZER A.A. 2019. Groundwater quality and vulnerability assessment in west Luxor Governorate, Egypt. Groundwater for Sustainable Development. Vol. 8 p. 271–280. DOI 10.1016/j.gsd.2018.11.009.
SISWOYO H. 2018. Identifikasi tingkat kerentanan akuifer terhadap pencemaran di Kecamatan Sumobito Kabupaten Jombang dengan menggunakan metode GOD [Identification of aquifer vulnerability levels to pollution in Sumobito District, Jombang Regency using the GOD method. Jurnal Sains Dan Edukasi Sains. Vol. 1(2) p. 1–6. DOI 10.24246/juses.v1i2p1-6.
SRI HARTO BR. 1993. Analisis hidrologi [Hydrological analysis]. Jakarta. Gramedia Pustaka Utama. ISBN 979-511-235-X pp. 17+287.
SUHENDRA V. 2016. Eksplorasi metode geolistrik: Resistivitas, polarisasi terinduksi, dan potensial diri [Geoelectric method exploration: Resistivity, induced polarization, and self potential. Malang. UB Press. ISBN 978-602-203-937-2 pp. 17+140.
THIRUMALAIVASAN D., KARMEGAM M., VENUGOPAL K. 2003. AHP- DRASTIC: Software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environmental Modelling & Software. Vol. 18. Iss. 7 p. 645–656. DOI 10.1016/S1364-8152(03)00051-3. TODD D.K. 1980. Groundwater hydrology. New York. John Wiley and Sons Inc. ISBN 0-471-87616-X pp. 13+535.
UNESCO 2018. Nature-based solutions for water. The United Nations World Water Development Report. United Nations Educational, Scientific and Cultural Organization, WWAP France. ISBN 978- 92-3-100264-9 pp. 154.
VRBA J., ZAPOROŽEC A. 1994. Guidebook on mapping groundwater vulnerability. Ser. International contributions to hydrogeology. Vol. 16. International Association of Hydrogeologists. Hannover. H. Heise. ISBN 9783922705970 pp. 23+131.
WELLS E.H. 1918. Manganese in New Mexico. Bulletin of The New Mexico State School of Mines. No. 2 pp. 13+84.
WIDYASTUTI M., SUDARTO, ANGGAYANA K 2006. Pengembangan metode ‘DRASTIC’ untuk prediksi kerentanan air tanah bebas terhadap pencemaran di Sleman [Development of the ‘DRASTIC’ method for predicting the vulnerability of unconfined groundwater to pollution in Sleman. Majalah Geografi Indonesia. Vol. 20(1) p. 32–51.
ZEKTSER I.S. 2000. Groundwater and the environment: Applications for the global community. Boca Raton, Florida. Lewis Publishers. ISBN 978-1566703833 pp. 192.

ABDULWAHAB F., JASIM S. 2019. Building a model for the risk of water erosion in Kifri Basin by the use of fuzzy logic. Journal of Tikrit University for Humanities. Vol. 26. No. 9 p. 281–257. DOI 10.25130/hum.v26i9.819.
ABU HAMMAD A. 2011. Watershed erosion risk assessment and management utilizing revised universal soil loss equation- geographic information systems in the Mediterranean environments. Water and Environment Journal. Vol. 25 p. 149–162. DOI 10.1111/j.1747-6593.2009.00202.x.
AHMED A., ADIL D., HASNA B., ELBACHIR A., LAZAAR R. 2019. Using EPM Model and GIS for estimation of soil erosion in Souss Basin, Morocco. Turkish Journal of Agriculture – Food Science and Technology. Vol. 7 p. 1228–1232. DOI 10.24925/turjaf.v7i8.1228-1232.2562. BEHERA M., SENA D.R., MANDAL U., KASHYAP P.S., DASH S.S. 2020. Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios. Environmental Monitoring and Assessment. Vol. 192, 733 p. 1–18. DOI 10.1007/s10661-020-08688-2.
BOUGUERRA H., BOUANANI A., KHANCHOUL K., DERDOUS O., TACHI S.E. 2017. Mapping erosion prone areas in the Bouhamdane watershed (Algeria) using the revised universal soil loss equation through GIS. Journal of Water and Land Development. No. 32 p. 13–23. DOI 10.1515/jwld-2017-0002.
BOUHADEB C.E., MENANI M.R., BOUGUERRA H., DERDOUS O. 2018. Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria. Journal of Water and Land Development. No. 36 p. 27–35. DOI 10.2478/ jwld-2018-0003.
BOU-IMAJJANE L., BELFOUL M.A., ELKADIRI R., STOKES M. 2020. Soil erosion assessment in a semi-arid environment: A case study from the Argana Corridor, Morocco. Environmental Earth Sciences. Vol. 79 p. 1–14. DOI 10.1007/s12665-020-09127-8.
CERDÀ A., DOERR S.H. 2008. The effect of ash and needle cover on surface runoff and erosion in the immediate post-fire period. Catena. Vol. 74 p. 256–263. DOI 10.1016/j.catena.2008.03.010.
CHAAOUAN J., FALEH A., SADIKI A., MESRAR H. 2013. Télédétection, sig et modélisation de l’érosion hydrique dans le bassin versant de l’oued Amzaz, Rif Central [Remote sensing, sig and modeling of water erosion in the watershed of Wadi Amzaz, Central Rif]. Revue française de photogrammétrie et de télédétection. No. 203 p. 19–25. DOI 10.52638/rfpt.2013.26.
DRAGIČEVIĆ N., KARLEUŠA B., OŽANIĆ N. 2017. Erosion potential method (Gavrilović method) sensitivity analysis. Soil and Water Research. Vol. 12 p. 51–59. DOI 10.17221/27/2016-SWR.
EFTHIMIOU N., LYKOUDI E., KARAVITIS C. 2017. Comparative analysis of sediment yield estimations using different empirical soil erosion models. Hydrological Sciences Journal. Vol. 62 p. 2674–2694. DOI 10.1080/02626667.2017.1404068.
EFTHIMIOU N., LYKOUDI E., PANAGOULIA D., KARAVITIS C. 2016. Assessment of soil susceptibility to erosion using the EPM and RUSLE models: The case of Venetikos River Catchment. Global NEST Journal. Vol. 18 p. 164–179. DOI 10.30955/gnj.001847.
FERNANDEZ C., WU J.Q., MCCOOL D.K., STÖCKLE C.O. 2003. Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD. Journal of Soil and Water Conservation. Vol. 58 p. 128–136.
GAVRILOVIC Z. 1988. Use of an empirical method (erosion potential method) for calculating sediment production and transportation in unstudied or torrential streams. In: International Conference on River Regime. 18–20.05.1988 Wallingford, England. Oxon UK. Hydraulics Research Limited, Wallingford p. 411–422.
GITAS I.Z., DOUROS K., MINAKOU C., SILLEOS G.N., KARYDAS C.G. 2009. Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model. EARSeL eProceedings. Vol. 8 p. 40–52.
GLOBEVNIK L., HOLJEVIC D., PETKOVSEK G., RUBINIC J. 2003. Applicability of the Gavrilovic method in erosion calculation using spatial data manipulation techniques. Proceedings of symposium HS01 held during IUGG2003 at Sapporo, July 2003 International Association of Hydrological Sciences Publications. No. 279 p. 224–233.
HAAN C.T., BARFIELD, B.J., HAYES J.C. 1994. Design hydrology and sedimentology for small catchments. Elsevier. ISBN 978-0-12- 312340-4 pp. 588.
IGHODARO I.D., LATEGAN F.S., YUSUF S.F. 2013. The impact of soil erosion on agricultural potential and performance of Sheshegu community farmers in the Eastern Cape of South Africa. Journal of Agricultural Science. Vol. 5. No. 5 p. 140–147. DOI 10.5539/jas.v5n5p140. KOSTADINOV S., DRAGOVIĆ N., ZLATIĆ M., TODOSIJEVIĆ M. 2008. Erosion control works and the intensity of soil erosion in the upper part of the river Toplica drainage basin. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing. Vol. 4. No. 1, 012040.

KUNTA K. 2009. Effects of geographic information quality on soil erosion prediction. ETH Zurich. ISBN 978-3-906467-84-9 pp. 153.
LENSE G.H.E., MOREIRA R.S., PARREIRAS T.C., SANTANA D.B., BOLELLI T. DE M., MINCATO R.L. 2020. Water erosion modeling by the Erosion Potential Method and the Revised Universal Soil Loss Equation: A comparative analysis. Revista Ambiente & Água. Vol. 15(4). DOI 10.4136/ambi-agua.2501.
MAROUF N., REMINI B. 2011. Temporal variability in sediment concentration and hysteresis in the Wadi Kebir Rhumel Basin of Algeria. HKIE Transactions. Vol. 18 p. 13–21. DOI 10.1080/1023697X.2011.10668219.
MAZOUR M., ROOSE E. 2002. Influence de la couverture végétale sur le ruissellement et l’érosion des sols sur parcelles d’érosion dans les bassins versants du Nord-ouest de l’Algérie. En: Techniques traditionnelles de GCES en milieu méditerranéen [Influence of plant cover on runoff and soil erosion on erosion plots in the watersheds of northwestern Algeria. In: Traditional GCES techniques in the Mediterranean environment]. Eds. E. Roose, M. Sabir, G. De Noni. Bulletin – Réseau Erosion. No. 21 p. 320– 330.
MEDDI M., TOUMI S. 2015. Spatial variability and cartography of maximum annual daily rainfall under different return periods in Northern Algeria. Journal of Mountain Science. Vol. 12 p. 1403– 1421. DOI 10.1007/s11629-014-3084-3.
MEGHRAOUI M., HABI M., MORSLI B., REGAGBA M., SELADJI A. 2017. Mapping of soil erodibility and assessment of soil losses using the RUSLE model in the Sebaa Chioukh Mountains (northwest of Algeria). Journal of Water and Land Development. No. 34 p. 205–213. DOI 10.1515/jwld-2017-0055.
MOSTEPHAOUI T., MERDAS S., SAKAA B., HANAFI M.T., BENAZZOUZ M.T. 2013. Cartographie des risques d’érosion hydrique par l’applica-tion de l’équation universelle de pertes en sol à l’aide d’un système d’information géographique dans le bassin versant d’El hamel (Boussaâda) Algérie [Mapping of water erosion risks by applying the universal soil loss equation using a Geographical Information System in El Hamel (Boussaâda) watershed]. A Journal algérien des régions arides. No. Special p. 131–147.
NEARING M.A., JETTEN V., BAFFAUT C., CERDAN O., COUTURIER A., HERNANDEZ M., LE BISSONNAIS Y., NICHOLS M.H., NUNES J.P., RENSCHLER C.S. 2005. Modeling response of soil erosion and runoff to changes in precipitation and cover. Catena. Vol. 61 p. 131–154. DOI 10.1016/j.catena.2005.03.007.
NEHAÏ S.A., GUETTOUCHE M.S. 2020. Soil loss estimation using the revised universal soil loss equation and a GIS-based model: A case study of Jijel Wilaya, Algeria. Arabian Journal of Geosciences. Vol. 13, 152. DOI 10.1007/s12517-020-5160-z.
NUNES A.N., DE ALMEIDA A.C., COELHO C.O. 2011. Impacts of land use and cover type on runoff and soil erosion in a marginal area of Portugal. Applied Geography. Vol. 31. No. 2 p. 687–699. DOI 10.1016/j.apgeog.2010.12.006.
PANAGOS P., STANDARDI G., BORRELLI P., LUGATO E., MONTANARELLA L., BOSELLO F. 2018. Cost of agricultural productivity loss due to soil erosion in the European Union: From direct cost evaluation approaches to the use of macroeconomic models. Land Degradation & Development. Vol. 29 p. 471–484. DOI 10.1002/ldr.2879.
ROOSE E. 1994. Introduction à la gestion conservatoire de l’eau, de la biomasse et de la fertilité des sols (GCES) [Introduction to the conservation management of water, biomass and soil fertility (GCES)]. Bulletin pédologique de la FAO. No. 70. ISBN 92-5- 203451-X pp. 420.
ROUSEL J.W., HAAS R.H., SCHELL J.A., DEERING D.W. 1973. Monitoring vegetation systems in the great plains with ERTS. In: Proceedings of the Third Earth Resources Technology Satellite – 1 Symposium; NASA SP-351 p. 309–317.
SAHLI Y., MOKHTARI E., MERZOUK B., LAIGNEL B., VIAL C., MADANI K. 2019. Mapping surface water erosion potential in the Soummam watershed in Northeast Algeria with RUSLE model. Journal of Mountain Science. Vol. 16 p. 1606–1615. DOI 10.1007/s11629-018-5325-3.
SAKUNO N.R.R., GUIÇARDI A.C.F., SPALEVIC V., AVANZI J.C., SILVA M.L.N., MINCATO R.L. 2020. Adaptation and application of the erosion potential method for tropical soils. Revista Ciência Agronômica. Vol. 51 p. 1–10.
SEKERTEKIN A., BONAFONI S. 2020. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: assessment of different retrieval algorithms and emissivity models and toolbox imple-mentation. Remote Sensing. Vol. 12 p. 294. DOI 10.3390/rs12020294.
SHARDA V.N., MANDAI D., OJASVI P.R. 2013. Identification of soil erosion risk areas for conservation planning in different states of India. Journal of Environmental Biology. Vol. 34 p. 219–226.
SHARPLEY A.N., WILLIAMS J.R. (eds.) 1990. EPIC-Erosion/Productivity Impact Calculator. I: Model documentation. II: User manual. USDA. Technical Bulletin. No. 1768 pp. 127.
SOLAIMANI K., MODALLALDOUST S., LOTFI S. 2009. Investigation of land use changes on soil erosion process using geographical information system. International Journal of Environmental Science & Technology. Vol. 6 p. 415–424. DOI 10.1007/BF03326080.
TAMRABET Z., MAROUF N., REMINI B. 2019. Quantification of suspended solid transport in Endja watercourse [Dehamecha basin-Algeria]. GeoScience Engineering. No. 4 p. 71–91. DOI 10.35180/gse-2019-0025.
TANG Q., XU Y., BENNETT S.J., LI Y. 2015. Assessment of soil erosion using RUSLE and GIS: A case study of the Yangou watershed in the Loess Plateau, China. Environmental Earth Sciences. Vol. 73 p. 1715–1724. DOI 10.1007/s12665-014-3523-z.
TOUMI A., REMINI B. 2018. Perte de la capacité de stockage d’eau au barrage de Beni Haroun, Algérie [Loss of water storage capacity at the Beni Haroun dam, Algeria]. Systèmes Agraires et Environnement. Vol. 2 p. 80–97.
ZAHNOUN A.A., MAKHCHANE M., CHAKIR M., AL KARKOURI J., WATFAE A. 2019. Estimation and cartography the water erosion by integra-tion of the Gavrilovic “EPM” model using a GIS in the Mediterranean watershed: Lower Oued Kert watershed (Eastern Rif, Morocco). International Journal of Advance Research, Ideas and Innovations in Technology. Vol. 5 p. 367–374.
ZAKERINEJAD R., MAERKER M. 2015. An integrated assessment of soil erosion dynamics with special emphasis on gully erosion in the Mazayjan basin, southwestern Iran. Natural Hazards. Vol. 79 p. 25–50. DOI 10.1007/s11069-015-1700-3.
ZANTER K. 2019. Landsat 8 (L8) data users handbook. Version 5.0. Sioux Falls, SD. EROS pp. 106.
ZEMLJIC M. 1971. Calcul du debit solide – Evaluation de la vegetation comme un des facteurs antierosif [Calculation of the solid flow – Evaluation of the vegetation as one of the anti-erosive factors]. In: International Symposium Interpraevent. Villaco. Vol. 2 p. 379– 391.
ZORN M., KOMAC B. 2008. The response of soil erosion to land-use change with particular reference to the last 200 year (Julian Alps, Western Slovenia). [24th Conference of the Danubian Countries on the Hydrological Forecasting and Hydrological Bases of Water Management]. [02–06.2008 Bled, Slovenia].

BMKG 2020. The standardized precipitation index December 2019 [online]. Jakarta Pusat. Badan Meteorologi, Klimatologi, dan Geofisika [Access 01.02.2020]. Available at: https://www.bmkg.go.id/iklim/indeks-presipitasi-terstandarisasi.bmkg
BPS Provinsi Papua Barat 2019. Provinsi Papua Barat dalam angka 2019 [Papua Barat Province in figures 2019]. Manokwari. Badan Pusat Statistik Provinsi Papua Barat. ISSN 2089-1563 pp. 527.
BYUN H.R., WILHITE D.A. 1999. Objective quantification of drought severity and duration. Journal of American Meteorological Society. No. 12 p. 2747–2756. DOI 10.1175/1520-0442(1999)0122747:OQODSA>2.0.CO;2.
DAS S., CHOUDHURY M.R., GANDHI S., JOSHI V. 2016. Application of Earth observation data and Standardized Precipitation Index based approach for meteorological drought monitoring, assessment and prediction over Kutch, Gujarat, India. International Journal of Environment and Geoinformatics. No. 3(2) p. 24–37. DOI 10.30897/ijegeo.306468.
DINKU T., FUNK C., PETERSON P., MAIDMENT R., TADESSE T., GADAIN H., CECCATO P. 2018. Validation of the CHIRPS satellite rainfall estimates over Eastern Africa. Quarterly Journal of the Royal Meteorological Society. No. 144 p. 292–312. DOI 10.1002/qj.3244.
EDO 2019. Standardized Precipitation Index (SPI) [online]. Ispra. European Drought Observatory. [Access 02.02.2020]. Available at: https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_-spi.pdf
FAO 2018.The impact of disasters and crises on agriculture and food security. 1st ed. Rome. Food and Agriculture Organization. ISBN 978-92-5-130359-7 pp. 143.
FUNK C.C., PETERSON P. J., LANDSFELD M. F., PEDREROS D.H., VERDIN J.P., ROWLAND J.D., VERDIN A.P. 2014. A quasi-global precipitation time series for drought monitoring. 1st ed. Virginia. U.S. Geological Survey Data Series. No. 832. ISSN 2327-638X pp. 4. DOI 10.3133/ds832.
GEBRECHORKOS S.H., HÜLSMANN S., BERNHOFER C. 2018. Evaluation of multiple climate data sources for managing environmental resources in East Africa. Journal of Hydrology and Earth System Sciences. No. 22 p. 4547–4564. DOI 10.5194/hess-22-4547-2018.
GUTTMAN N.B. 1999. Accepting the Standardized Precipitation Index: A calculation algorithm. Journal of The American Water Resource Association. Vol. 35(2) p. 311–322. DOI 10.1111/j.1752-1688.1999.tb03592.x.
HEIM R.R. 2002. A review of twentieth-century drought indices used in the United States. Bulletin of American Meteorological Society. No. 83 p. 1149–1165. DOI 10.1175/1520-0477-83.8.1149.
KARAVITIS C.A., ALEXANDRIS S., TSESMELIS D. E., ATHANASOPOULOS G. 2011. Application of the Standardized Precipitation Index (SPI) in Greece. Journal of Water. Vol. 3 p. 787–805. DOI 10.3390/w3030787.
KUMAR M.N., MURTHY C.S., SESHA M.V. R., ROY P.S. 2009. On the use of Standardized Precipitation Index (SPI) for drought intensity assessment. Journal of Meteorological Application. Vol. 16. Iss. 3 p. 381–389. DOI 10.1002/met.136.
MAHARANI T. 2019. Pemodelan bahaya kekeringan meteorologis di Provinsi Jawa Timur menggunakan data CHIRPS [Climate Hazards Group infrared precipitation with station data] [online]. MSc Thesis. Gadjah Mada University. [Access 01.02.2020]. Available at: https://www.google.com/search?client=firefox-b- d&q=Pemodelan+bahaya+kekeringan+meteorologis+di+Provin-si+Jawa+Timur+menggunakan+data+CHIRPS+
MISHRA S.S., NAGARAJAN R. 2011. Spatio-temporal drought assessment in Tel River Basin using Standardized Precipitation Index (SPI) and GIS. Journal of Geomatics, Natural Hazards, and Risk. Vol. 2(1) p. 79–93. DOI 10.1080/19475705.2010.533703.
MISNAWATI 2018. Evaluasi performa Standardized Precipitation Index (SPI) sebagai indikator kekeringan pertanian di Jawa Tengah [An evaluation of Standardized Precipitation Index (SPI) for agricultural drought indicator in Central Java] [online]. Thesis. IPB University. [Access 01.02.2020]. Available at: http://repository. ipb.ac.id/handle/123456789/92614
NOSRATI K., ZAREIEE A.R. 2011. Assessment of meteorological drought using SPI in West Azarbaijan Province, Iran. Journal of Applied Sciences and Environmental Management. Vol. 15(4) p. 563–569.
NUGROHO P.C., PINUJI S.E., ICHWANA A.N., NUGRAHA A., WIGUNA S., SYAUQI, SETIAWAN A. 2018. Data dan informasi bencana Indonesia [Indonesian disaster risk index]. Jakarta. Badan Nasional Penanggulangan Bencana pp. 325.
PALMER W.C. 1965. Meteorological drought. Washington, DC. USDC Weather Burreau. Research Paper. No. 45 pp. 58.
SALEHNIA N., ALIZADEH A., SANAEINEJAD H., BANNAYAN M., ZARRIN A., HOOGENBOOM G. 2017. Estimation of meteorological drought indices based on AgMERRA precipitation data and station-observed precipitation data. Journal of Arid Land. No. 9 (October) p. 797–809. DOI 10.1007/s40333-017-0070-y.
TOPÇU E., SEÇKIN N. 2016. Drought analysis of the Seyhan Basin by using Standardized Precipitation Index (SPI) and L-moments. Journal of Agricultural Sciences. Vol. 22 p. 196–215. DOI 10.1501/TARIMBIL_0000001381.
NOAA 2020. Drought information [online]. National Weather Service. National Oceanic and Atmospheric Administration / National Centers for Environmental Prediction Climate Prediction Center. National Center for Weather and Climate Prediction [Access 01.02.2020]. Available at: https://www.cpc.ncep.noaa.gov/pro-ducts/Drought/
WIDODO N. 2013. Analisis dan pemetaan indeks kekeringan meteorologis menggunakan data satelit TRMM dari 36 titik stasiun BMKG di Pulau Sumatera [Meteorological drought index analysis and mapping using TRMM satellite on Sumatera Island] [online]. Thesis. IPB University. [Access 10.02.2020]. Available at: http://repository.ipb.ac.id/handle/123456789/67416.
WILHITE D.A., GLANTZ M.H. 1985. Understanding the drought phenomenon: The role of definition. Journal of Water Interna-tional. No. 10 p. 111–120. DOI 10.1080/02508068508686328.
WITONO A., CHOLIANAWATI N. 2011. Deteksi dan prediksi kekeringan meteorologis di Sumatera Selatan menggunakan satelit TRMM [Detection and prediction of meteorological drought in South Sumatera using the TRMM satellite]. Seminar nasional sains atmosfer dan antariksa 2011. ISBN 9789791458535.
WMO 2012. Standardized Precipitation Index user guide. 1st ed. (M. Svoboda, M. Hayes, D. Wood). WMO-No. 1090. Geneva. World Meteorological Organization. ISBN 978-92-63-11090-9 pp. 16.
XIA L., ZHAO F., MAO K., YUAN Z., ZUO Z., XU T. 2018. SPI-based analyses of drought changes over the past. Journal of Remote Sensing. No. 10(171) p. 1–15. DOI 10.3390/rs10020171.
ZHU Q., LUO Y., ZHOU D., XU Y., WANG G., GAO H. 2019. Drought monitoring utility using satellite-based precipitation products over the Xiang River Basin in China. Journal of Remote Sensing. Vol. 11 p. 1–17. DOI 10.3390/rs11121483.