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A GIS and AHP-based approach to determine potential locations of municipal solid waste collection points in rural areas

Mateusz Malinowski Sylwia Guzdek Agnieszka Petryk Klaudia Tomaszek
Journal of Water and Land Development | 2021 | No 51 | 94-101 | DOI: 10.24425/jwld.2021.139019
Keywords analytical hierarchy process (AHP) geographic information system (GIS) rural areas waste collection
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Abstract

Municipal solid waste collection points (MSWCPs) are places where residents of municipalities can leave their waste free of charge. MSWCPs should operate in every municipality in Poland. The Geographic Information System (GIS) and analytical hierarchy process (AHP) were used in conjunction as tools to determine potential locations of MSWCPs. Due to possible social conflicts related to the location of MSWCPs, three variants of buffer zones for a residential area were adopted. As a result of the spatial analysis carried out using the GIS software, 247 potential locations were identified in variant no. 1 (which accounted for 7.1% of commune area), 167 for variant no. 2 (6.3% of commune area), and 88 for variant no. 3 (3.8% of commune area). The most favourable locations for MSWCPs were determined using the AHP method with additional criteria for which weights were calculated as follows: the area of a designated plot (0.045), actual designation of a plot in the local spatial development plan (0.397), distance from the centre of the village (0.096) and the commune (0.231), and population density of a village (0.231). The highest weights (over 50%) in the AHP analysis were obtained for 12 locations in variant no. 3, two of which had an area over 3 ha. The adopted methodology enabled to identify quasi-optimal solutions for MSWCP locations in the analysed rural commune. This research has the potential to influence future waste management policies by assisting stakeholders in the MSWCP location.
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Authors and Affiliations

Mateusz Malinowski
1
ORCID: ORCID
Sylwia Guzdek
2
ORCID: ORCID
Agnieszka Petryk
3
ORCID: ORCID
Klaudia Tomaszek
4
ORCID: ORCID
  1. University of Agriculture in Cracow, Department of Bioprocesses Engineering, Energetics and Automatization, ul. Balicka 116b, 30-149 Kraków, Poland
  2. Cracow University of Economics, Department of Microeconomics, Kraków, Poland
  3. Cracow University of Economics, Department of Spatial Management, Kraków, Poland
  4. University of Agriculture in Cracow, Department of Mechanical Engineering and Agrophysics, Kraków, Poland

Using DEM and GIS for evaluation of groundwater resources in relation to landforms in the Maharlou-Bakhtegan watershed, Fars province, Iran

Marzieh Mokarram Mehran Shaygan Dinesh Sathyamoorthy
Journal of Water and Land Development | 2018 | No 37
Keywords compound topographic index (CTI) digital elevation model (DEM) geographic information system (GIS) groundwater landforms Maharlou-Bakhtegan topographic position index (TPI)
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Authors and Affiliations

Marzieh Mokarram
Mehran Shaygan
Dinesh Sathyamoorthy

Clustering analysis of the seismicity of Van Province and its surroundings via spatial autocorrelation techniques filters

Güzide Miray Perihanoglu Ömer Bilginer Elif Akyel
Advances in Geodesy and Geoinformation | 2022 | vol. 71 | No 2 | e24 | DOI: 10.24425/agg.2022.141298
Keywords earthquake Geographical Information System (GIS) spatial autocorrelation Van Province
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Abstract

Destructive aftershocks such as the M w 7.2 Van earthquake on October 23, 2011, and the Hoy (Iran) earthquake with M w 5.9 on February 23, 2020, occurred in the province of Van and its surroundings. In earthquake studies, the issue of examining the distribution and homogeneity of earthquake incidences with Geographic Information Systems (GIS) based via spatial autocorrelation techniques is frequently investigated. Van province and its surroundings are among the areas with high earthquake risk due to its location on the East Anatolian Compressive Tectonic Block. The aim of this study is to analyze the spatial patterns of earthquakes with magnitude M w 4 and above that occurred in the province of Van and its surroundings during the instrumental period and to determine to cluster. Spatial cluster analyses play an important role in examining the distribution of seismicity. The data used in the study have been taken from the database system of the Earthquake Department of the Republic of Turkey Ministry of Interior Disaster and Emergency Management Presidency. Moran’s I and Getis-Ord Gi methods from spatial autocorrelation techniques were preferred on the earthquake data set to be used in this research. It has aimed to determine the dangerous areas by testing the earthquake distributions in clustered regions via spatial autocorrelation techniques.
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Authors and Affiliations

Güzide Miray Perihanoglu
1
ORCID: ORCID
Ömer Bilginer
2
ORCID: ORCID
Elif Akyel
2
ORCID: ORCID
  1. Van Yüzüncü Yıl University, Van, Turkey
  2. Izmir Katip Çelebi University, Izmir, Turkey

Land Use/Land Cover change detection in the wetlands. A case study: Al-Aba Oasis, west of Ras Tanura, Kingdom of Saudi Arabia

Walid Chouari
Journal of Water and Land Development | 2022 | No 53 | 229-237 | DOI: 10.24425/jwld.2022.140802
Keywords geographic information systems (GIS) oasis post-classification remote sensing sabkha
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Abstract

In addition to unthinking anthropogenic meddling with the subtle ecological balance, the territories of Al-Aba Oasis are witnessing various Land Use and Land Cover (LULC) changes. Comprehending LULC is a central facet of upholding a sustainable, friendly, and fit environment. This paper presents a spatiotemporal study of land use and land cover trends in the wetlands of Al-Aba Oasis, an ecologically sensitive area in the west of Ras Tanura in the east of the Kingdom of Saudi Arabia. The study area faces several environmental problems, including the rise in groundwater levels, expansion of agricultural land, urban expansion, and anthropogenic interference with the ecological balance. In this paper, a verified representation of the changes in each LULC class has been made using satellite images. Remote sensing imagery is helpful for studying temporal changes in LULC and providing environmental monitoring data. We analysed Landsat-5 and Sentinel-2 imagery for 1985, 2000, and 2021. The overall precision besides the kappa coefficient for precision assessment indicates the relevance of the LULC classification. LULC map products were overlaid and interpreted based on post-classification change detection methods. The LULC aspects were classified into six classes: water body, waterlogged area, sabkha soil, sandy area, cultivated area, and built- up area. The results prove that from 2001 to 2021, the extension of the built-up area (2.6%) and agricultural land (6.85%) is directly proportional to the population growth (36.5% between 1992 and 2004) and the sabkhas are subject to constant metamorphosis under the joint influence of urban and agricultural land expansion. 100 samples were collected for the years 1986, 2001, and 2021 to assess the accuracy. We reviewed the outcomes of this study by evaluating the accuracy (77, 81, and 84% for 1986, 2001, and 2021 respectively) and comparing the field truth using a GPS (Global Positioning System) sensor. The results of this study are useful in the development of environmental policies during the development of sustainable territorial development programmes of the oasis.
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Authors and Affiliations

Walid Chouari
1
ORCID: ORCID
  1. King Faisal University, College of Arts, Social Studies Department, Al-Ahsa, 36441, Saudi Arabia University of Sfax, Faculty of Arts and Human Sciences, Tunisia

Extraction of urban construction development with using Landsat satellite images and geoinformation systems

Aybek M. Arifjanov Shamshodbek B. Akmalov Luqmon N. Samiev
Journal of Water and Land Development | 2021 | No 48 | 65-69 | DOI: 10.24425/jwld.2021.136147
Keywords ArcGIS Geographic Information System (GIS) Landsat satellite image remote sensing (RS) urban
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Abstract

In recent times there have been many changes on Earth, which have appeared after anthropogenic impact. Finding solu-tions to problems in the environment requires studying the problems quickly, make proper conclusions and creating safe and useful measures. Humanity has always had an effect on the environment. There can be many changes on the Earth be-cause of direct and indirect effects of humans on nature. Determining these changes at the right time and organizing meas-urements of them requires the creation of quick analysing methods. This development has improved specialists’ interest for remote sensing (RS) imagery. Moreover, in accordance with analysis of literature sources, agriculture, irrigation and ecolo-gy have the most demand for RS imagery. This article is about using geographic information system (GIS) and RS technol-ogies in cadastre and urban construction branches. This article covers a newly created automated method for the calculation of artificial surface area based on satellite images. Accuracy of the analysis is verified according to the field experiments. Accuracy of analysis is 95%. According to the analysis from 1972 to 2019 artificial area enlargement is 13.44%. This method is very simple and easy to use. Using this data, the analysis method can decrease economical costs for field measures. Using this method and these tools in branches also allows for greater efficiency in time and resources.
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Bibliography

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Authors and Affiliations

Aybek M. Arifjanov
1
ORCID: ORCID
Shamshodbek B. Akmalov
1
ORCID: ORCID
Luqmon N. Samiev
1
ORCID: ORCID
  1. Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, 39 Kari Niyazov Str. Tashkent 100000, Uzbekistan

Assessment of soil erosion using the GIS-based erosion potential method in the Kebir Rhumel Watershed, Northeast Algeria

Amer Zeghmar Nadir Marouf Elhadj Mokhtari
Journal of Water and Land Development | 2022 | No 52 | 133-144 | DOI: 10.24425/jwld.2022.140383
Keywords Erosion Potential Method Geographic Information System (GIS) Kebir Rhumel remote sensing soil erosion water erosion
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Abstract

Soil erosion is an important factor that should be considered when planning renewable natural resource projects, effects of which can be measured by modelling techniques. Therefore, disintegration models determine soil loss intensity and support soil conservation practices. This study estimates soil loss rates by water erosion using the Erosion Potential Method (EPM) in the Kebir Rhumel Watershed located in Northeast Algeria. The area is north to south sub-humid to semi-arid, receives irregular rainfall, and has steep slopes and low vegetation cover which makes it very vulnerable to erosion. The main factors in the EPM (soil erodibility, soil protection, slope, temperature, and rainfall) were evaluated using the Geographical Information System (GIS) and data provided by remote sensing technologies. The erosion intensity coefficient Z was 0.60, which indicates medium erosion intensity. While the results showed the average annual soil erosion of 17.92 Mg∙ha–1∙y–1, maximum and minimum losses are 190.50 Mg∙ha–1∙y–1 and 0.21 Mg∙ha–1∙y–1, respectively. The EPM model shows satisfactory results compared to some studies done in the basin, where the obtained results can be used for more appropriate management of land and water resources, sustainable planning, and environmental protection.
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Authors and Affiliations

Amer Zeghmar
1
ORCID: ORCID
Nadir Marouf
1
ORCID: ORCID
Elhadj Mokhtari
2
ORCID: ORCID
  1. University of Larbi-Ben-M’hidi, Faculty of Sciences and Applied Sciences, Department of Hydraulic, Laboratory of Functional Ecology and Environment, Laboratory of Natural Resources and Management of Sensitive Environments, PO Box 358, 04000 Oum El Bouaghi, Algeria
  2. University Mohamed Boudiaf M’sila, Faculty of Technology, Department of Hydraulic, Algeria

Delineating suitable site for settlement in potential earthquake vulnerable areas using spatial multi-criteria decision analysis in the Sukabumi regency, Indonesia

Wiwin Ambarwulan Irmadi Nahib Widiatmaka Widiatmaka Ratna Sari Dewi Sri Lestari Munajati Yatin Suwarno Dewayany Sutrisno Suprajaka Suprajaka
Journal of Water and Land Development | 2022 | No 53 | 10-21 | DOI: 10.24425/jwld.2022.140775
Keywords Analytical Hierarchy Process (AHP) earthquake vulnerable areas Geographical Information System (GIS) land availability regional planning
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Abstract

Land suitability assessment is an important stage in land use planning that guides the direction of optimal land use. The objective of this study was to select a suitable location for settlements in earthquake-prone areas using the integration of the Analytical Hierarchy Process (AHP) and Geographical Information System (GIS). In total, six maps were considered to determine a suitable location for settlements, namely topography, soil, geology, land cover/land use, a regional spatial planning pattern map, and an earthquake vulnerability map. The results showed that in medium earthquake-prone areas, the suitable land area which are available for settlement was 90.25 km2 (46.36% of the total land area available – 194.68 km2). Whereas in highly earthquake-prone areas, the suitable and available land area was 528.11 km2 (70.25% of the total land area in the high vulnerability zone – 751.81 km2). The research proved that AHP and GIS integration is very effective and robust for mapping land suitability in earthquake-prone areas. The results of the analysis can be used by planners to prioritize settlement development in the Sukabumi regency. The methodology developed is recommended to be applied in selecting locations for settlements in other parts of Indonesia.
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Authors and Affiliations

Wiwin Ambarwulan
1
ORCID: ORCID
Irmadi Nahib
1
ORCID: ORCID
Widiatmaka Widiatmaka
2
ORCID: ORCID
Ratna Sari Dewi
1
ORCID: ORCID
Sri Lestari Munajati
1
ORCID: ORCID
Yatin Suwarno
1
Dewayany Sutrisno
1
ORCID: ORCID
Suprajaka Suprajaka
1
ORCID: ORCID
  1. Geospatial Information Agency, Centers for Research, Promotion and Cooperation, Jl Raya Jakarta Bogor KM 46 Cibinong, Bogor, West, 16911, Bogor, Indonesia
  2. Bogor Agricultural University (IPB University), Department of Soil Science and Land Resources, Bogor, Indonesia

Modelling rainfall runoff for identification of suitable water harvesting sites in Dawe River watershed, Wabe Shebelle River basin, Ethiopia

Arus E. Harka Negash T. Roba Asfaw K. Kassa
Journal of Water and Land Development | 2020 | No 47 | 186-195 | DOI: 10.24425/jwld.2020.135313
Keywords Geographic Information System (GIS) rainfall runoff rainwater harvesting soil and water assessment tool (SWAT) the Dawe River watershed the Wabe Shebelle River basin
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Abstract

Scarcity of freshwater is one of the major issues which hinders nourishment in large portion of the countries like Ethio-pia. The communities in the Dawe River watershed are facing acute water shortage where water harvesting is vital means of survival. The purpose of this study was to identify optimal water harvesting areas by considering socioeconomic and biophysical factors. This was performed through the integration of soil and water assessment tool (SWAT) model, remote sensing (RS) and Geographic Information System (GIS) technique based on multi-criteria evaluation (MCE). The parame-ters used for the selection of optimal sites for rainwater harvesting were surface runoff, soil texture, land use land cover, slope gradient and stakeholders’ priority. Rainfall data was acquired from the neighbouring weather stations while infor-mation about the soil was attained from laboratory analysis using pipette method. Runoff depth was estimated using SWAT model. The statistical performance of the model in estimating the runoff was revealed with coefficient of determination (R2) of 0.81 and Nash–Sutcliffe Efficiency (NSE) of 0.76 for monthly calibration and R2 of 0.79 and NSE of 0.72 for monthly validation periods. The result implied that there's adequate runoff water to be conserved. Combination of hydrological model with GIS and RS was found to be a vital tool in estimating rainfall runoff and mapping suitable water harvest home sites.

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Authors and Affiliations

Arus E. Harka
Negash T. Roba
Asfaw K. Kassa

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