scholarly journals Spatial Distribution Analysis of Surface Water Quality Index Using Remote Sensing and GIS: A Case Study of Erandol (Maharashtra, India)

2019 ◽  
Vol 8 (1) ◽  
pp. 3030-3046
Author(s):  
Ganpat B. More ◽  
◽  
Kailas P. Dandge ◽  
Sanjaykumar R. Thorat ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Spatial Distribution ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality ◽  
Remote Sensing And Gis ◽  
Distribution Analysis

scholarly journals Seasonal and Temporal Assessment of Surface Water Quality in Saguling Reservoir Indonesia Using Water Quality Index

2020 ◽  
Author(s):  
Mariana Marselina ◽  
Arwin Sabar ◽  
Nurul Fahimah
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality ◽  
Distribution Analysis ◽  
Wet Season ◽  
Reservoir Water ◽  
Agriculture Industry ◽  
Reduced Parameters

Abstract Developments in agriculture, industry, and urban activities have caused deterioration of water resources such as rivers and reservoirs in terms of quality and also quantity. This includes the Saguling Reservoir, which is located in Citarum basin, Indonesia. A review of previous studies reveals that Water Quality Index (WQI) is efficient for the identification of pollution sources as well as for the understanding of temporal and spatial variations in reservoir water quality. The NSFWQI (The National Sanitation Foundation Water Quality Index) is one of the calculation methods of WQI. NSFWQI is commonly used as an indicator of surface water quality is based on Nitrate, Phosphate, Turbidity, Temperature, Fecal coliform, pH, DO, TSS, and BOD parameters. The average index of NSFWQI was determined to be 48.42 during the dry season, 43.97 during the normal season, and 45.82 during the wet season. A calculation of the WQI classified the water quality in the Saguling Reservoir as “bad” in condition. This study reveals that the strongest and most significant correlation between the concentration parameters and the WQI score is the turbidity concentration fecal coli, which is used to determine the required parameters for the calculation of WQI with reduced parameters if needed. This research also conducted nitrate concentration distribution analysis around Saguling Reservoir using the Inverse Distance Weighted method.

Seasonal and Temporal Assessment of Surface Water Quality in Saguling Reservoir Indonesia Using Water Quality Index

2020 ◽  
Author(s):  
Mariana Marselina ◽  
Arwin Sabar ◽  
Nurul Fahimah
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Fecal Coliform ◽  
Quality Index ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Distribution Analysis ◽  
Wet Season ◽  
Reservoir Water

Abstract In recent years, developments in agriculture, industry, and urban activities, especially around rivers and reservoirs have caused significant changes to the quality and quantity of water resources. This includes the Saguling Reservoir, which is located in Citarum basin, Indonesia. A review of previous studies reveals that Water Quality Index (WQI) is efficient for the identification of pollution sources as well as for the understanding of temporal and spatial variations in reservoir water quality. The National Sanitation Foundation – Water Quality Index (NSFWQI), which is a commonly used indicator of surface water quality, is based on turbidity, temperature, phosphate, nitrate, fecal coliform, pH, DO, TS, and BOD parameters. Using the results from the correlation matrix, we show that the two water quality parameters that influence the NSFWQI value the most are turbidity and fecal coliform. The average index of NSFWQI was determined to be 48.42 during the dry season, 43.97 during the normal season, and 45.82 during the wet season. A calculation of the WQI classified the water quality in the Saguling Reservoir as “bad” in condition. This study reveals that the strongest and most significant correlation between the concentration parameters and the WQI score is the turbidity concentration fecal coli, which is usable to determine the required parameters for the calculation of WQI with reduced parameters, if needed. This research also conducted nitrate concentration distribution analysis around Saguling Reservoir using the Inverse Distance Weighted method.

scholarly journals Surface water quality assessment in semi-arid region (El Hodna watershed, Algeria) based on water quality index (WQI)

2021 ◽  
Vol 66 (1) ◽  
pp. 127-142
Author(s):  
Amel Ferahtia ◽  
◽  
Mohammed Tahar Halilat ◽  
Fateh Mimeche ◽  
Ettayib Bensaci ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Water Quality Index ◽  
Arid Region ◽  
Quality Index ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals THE ASSESSMENT OF SURFACE WATER QUALITY IN THE LEPENC RIVER BASIN USING WATER QUALITY INDEX (WQI) METHODOLOGY

2018 ◽  
Vol 11 (2) ◽  
pp. 653-660 ◽  
Author(s):  
P. S.Bytyçi1 ◽  
H. S. Çadraku ◽  
F. N. Zhushi Etemi ◽  
M. A. Ismaili ◽  
O. B. Fetoshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality
Sign in / Sign up

Export Citation Format

Share Document