Water Quality Assessment of River Ganga using Remote Sensing and GIS Technique

Panwar, Anju; Sapana, Bartwal; Dangwal, Sourabh; Aswal, Ashok; Bhandari, Asha; Rawat, Santosh

doi:10.23953/cloud.ijarsg.116

Cited by 9 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [5] uses the spatial interpolation technique through inverse distance weighted (IDW) approach of GIS in the Ganga River for predicting the average values of the major parameters including transparency, dissolved oxygen (DO), biological oxygen demand (BOD), total suspended solids (TSS), and total dissolved solids (TDS). The results indicate that many of the major parameters do not satisfy the drinking water quality standards.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation

et al. 2017

View full text Add to dashboard Cite

Abstract:The aim of this research was to simulate the water quality along the lower course of the Diyala River using Geographic Information Systems (GIS) techniques. For this purpose, the samples were taken at 24 sites along the study area. The parameters: total dissolved solids (T.D.S), total suspended solids (T.S.S), iron (Fe), copper (Cu), chromium (Cr), and manganese (Mn) were considered. Water samples were collected on a monthly basis for a duration of five years. The adopted analyzing approach was tested by calculating the mean absolute error (MAE) and the correlation coefficient (R) between observed water samples and predicted results. The result showed a percentage error less than 10% and significant correlation at R > 89% for all pollutant indicators. It was concluded that the accuracy of the applied model to simulate the river pollutants can decrease the number of monitoring station to 50%. Additionally, a distribution map for the concentrations' results indicated that many of the major pollution indicators did not satisfy the river water quality standards.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED: Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation

et al. 2017

View full text Add to dashboard Cite

show abstract

“…GIS based mapping is a widely accepted tool for assessing water quality parameters [22,[68][69][70][71]. GIS tool was used to assess the influence of tide on changes of BOD and DO level in river Ganga seasonally.…”

Section: Mapping Of Water Quality Parameters Using Gismentioning

confidence: 99%

“…LANDAST 8 images were used to create map based on water quality parameters like pH, BOD, COD, DO, Total Solid (TS), TDS, Ammoniacal Nitrogen, Fluoride, Chloride, Magnesium (Mg), Turbidity, and Conductivity on river Ganga at Kanpur [21]. Rapidly developed GIS technology was also applied to handle data set of river Ganga pollution for its interpretation, analysis, and presentation at Haridwar [22].…”

Section: Introductionmentioning

confidence: 99%

A model-based prediction and analysis of seasonal and tidal influence on pollutants distribution from city outfalls of river Ganges in West Bengal, India and its mapping using GIS tool

Kar

Ghosh²,

Chowdhury³

et al. 2022

PLOS Water

View full text Add to dashboard Cite

River Ganges (locally called as river Ganga) is one of the most scared rivers in India. The river is symbol of hope, faith and is worshipped for its wholesomeness due to its purity and sanctity. Pollution of river water due to anthropogenic activity is a very common issue worldwide. Similarly, river Ganga pollution in India throughout its entire courses, is a major concern due to city outfalls. This river, also named as river Hooghly in West Bengal, India, is exposed to outfalls carrying domestic wastewater of its both bank and their distribution in river Ganga is strongly influenced by season and tide. This study aimed to generate an idea of distance and direction wise changes of concentration of pollutants in wastewater in river Ganga. During 2014, the selection of five major outfalls was done by considering Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), heavy metals, total fecal coliform level, and the study continued for next four consecutive years to find out the influence of tide and season. Geographical Information System (GIS) based maps provided a better reflection of these changes. Student’s t-test highlighted the significant changes in concentration of parameters season wise. A significant higher value of DO, BOD, nitrate nitrogen, and chloride were found in pre-monsoon season compared to monsoon season. Regression Equation generated for highly correlated parameters (coliform and heavy metals) helped to predict the level of one parameter with others. The zone of influence of BOD, DO, phosphorus and nitrate nitrogen from each of the five selected outfalls was very prominent. Acoustic Doppler current profiler at two of the five outfalls helped to estimate strip-wise depth average discharge which helped to estimate the value of water quality parameters by Plug Flow Model during high tide and low tide. A strong tidal variation was observed during low tide. This study helped to predict the influential zone from outfalls which will help to generate an alternative solution of river water use. This approach can be applied globally to prepare river water usage guidelines.

show abstract

“…They involve wide-ranging field sampling and expensive lab analysis, which is time inefficient and can only be accomplished for areas that are smaller (Song et al, 2012). Hence, these restraints and drawbacks make the conventional methods challenging for continuous water quality prediction at spatial scales (Panwar et al, 2015;Chabuk et al, 2017). For observing and analyzing water quality parameters, such as turbidity, chlorophyll, temperature, and suspended inorganic materials, techniques, such as optical remote sensing, are being used (Pattiaratchi et al, 1994;Fraser, 1998;Kondratyev et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Sharma

Kumar

Satapathy

et al. 2020

Front. Environ. Sci.

View full text Add to dashboard Cite

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yamuna river in Dehradun is polluted due to exceptional tourist activity, poor sewage facilities, and insufficient wastewater management amenities. The measurement of the quality can be done by water quality assessment. In this study, the water quality index has been calculated for the Yamuna river at Dehradun using monthly measurements of 12 physicochemical parameters. Trend forecasting for river water pollution has been performed using different parameters for the years 2020–2024 at Dehradun. The study shows that the values of four parameters namely, Temperature, Total Coliform, TDS, and Hardness are increasing yearly, whereas the values of pH and DO are not rising heavily. The considered physicochemical parameters for the study are TDS, Chlorides, Alkalinity, DO, Temperature, COD, BOD, pH, Magnesium, Hardness, Total Coliform, and Calcium. As per the results and trend analysis, the value of total coliform, temperature, and hardness are rising year by year, which is a matter of concern. The values of the considered physicochemical parameters have been monitored using various monitoring stations installed by the Central Pollution Control Board (CPCB), India.

show abstract

Water Quality Assessment of River Ganga using Remote Sensing and GIS Technique

Cited by 9 publications

References 9 publications

RETRACTED: Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation

RETRACTED: Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation

A model-based prediction and analysis of seasonal and tidal influence on pollutants distribution from city outfalls of river Ganges in West Bengal, India and its mapping using GIS tool

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Contact Info

Product

Resources

About