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Abstract

This study aims to assess the water quality and determine the pollution index of the Bedadung River in the urban-area segment of Jember Regency, East Java. The sampling in the urban segment of Jember was conducted in May 2019 at five different locations, namely Slamet Riyadi Street, Mastrip Street, Bengawan Solo Street, Sumatra Street, and Imam Bonjol Street. The pollution index assessment refers to the Decree of the State Minister for the Environment of Indonesia Republic number 115 of 2003. The analysis showed that the parameters of TDS, TSS, pH, COD, BOD, NH3-N, Co, Cd, Cu, Zn, H2S, Cl–, SO4, oil and fats, MBAS, NO2-N, Fe, Pb, F, Cl2, NO3-N, phenol, and As did not exceed the quality standards. The parameters PO4, CN, total coliform, and faecal coliform were found to breach the quality standards at the 5 water sam-pling points. Total coliform and faecal coliform were the dominant pollutants in this segment. Therefore, the parameters of PO4, total coliform, and faecal coliform were considered as indicators of pollution arising from domestic and agricultural activities. The pollution index values for the five sampling locations ranged from 7.21 to 8.23. These scores indicate that the Bedadung River section that passes through the urban segment in Jember is classified as being in the moderately pollut-ed category. This preliminary rapid assessment is therefore one of the considerations for the management of water quality in the Bedadung River section that passes through the urban area of Jember.

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Authors and Affiliations

Elida Novita
Hendra A. Pradana
Bambang H. Purnomo
Amelia I. Puspitasari
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Abstract

This study aims to utilise Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data and Standardised Precipitation Index (SPI) method to assess agricultural drought in West Papua, Indonesia. The data used in this study is monthly CHIRPS data acquired from 1996 to 2019, daily precipitation data recorded from 1996 to 2019 from the five climatological stations in West Papua, Indonesia located at Sorong, Fakfak, Kaimana, Manokwari, and South Manokwari. 3-month SPI or quarterly SPI are used to assess agricultural drought, i.e., SPI January–March, SPI February–April, SPI March-May, SPI April–June, SPI May–July, SPI June–August, SPI July–September, SPI August–October, SPI September–November, and SPI October–December. The results showed that in 2019 agricultural drought in West Papua was moderately wet to severely dry. The most severely dry occurred in September– December periods. Generally, CHIRPS data and SPI methods have an acceptable accuracy in generating drought information in West Papua with an accuracy of 53% compared with climate data analysis. Besides, the SPI from CHIRPS data processing has a moderate correlation with climate data analysis with an average R2 = 0.51.
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Authors and Affiliations

Arif Faisol
1
ORCID: ORCID
Indarto Indarto
2
ORCID: ORCID
Elida Novita
2
Budiyono Budiyono
3

  1. University of Papua, Faculty of Agricultural Technology, Jl. Gn. Salju, Manokwari, West Papua 98314, Indonesia
  2. University of Jember, Faculty of Agricultural Technology, Jember, East Java, Indonesia
  3. University of Papua, Faculty of Agriculture, Manokwari, West Papua, Indonesia

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