Evaluation of the Surface Water Quality Index of Jharia Coal Mining Region and Its Management of Surface Water Resources

Singh, Prasoon Kumar; Panigrahy, Binay Prakash; Verma, Poornima; Kumar, Bijendra

doi:10.1007/978-981-10-5792-2_34

Cited by 16 publications

(7 citation statements)

References 3 publications

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“…The descriptive statistics of these physico-chemical water quality parameters for each site were considered (Singh et al 2018;Vasistha and Ganguly 2020a, b) and calculated by adopting weighted arithmetic method and given in Tables 4 and 5.…”

Section: Resultsmentioning

confidence: 99%

Impact of COVID-19 on Water Quality Index of river Yamuna in Himalayan and upper segment: analysis of monsoon and post-monsoon season

Sharma¹,

Gupta²

2022

Appl Water Sci

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Rivers are the lifeline of every living being, be it humans or animals. Clean water is essential for everyone. However, increased urbanization and rapid industrialization have led to rising pollution level in rivers. COVID-19 on the contrary has changed the entire ecosystem. Limited industrial activities, reduced people movement during COVID times has led to improvement in environment, be it atmosphere or hydrosphere. Present work aims to study the impact of COVID-19 on water quality index of river Yamuna as it traverses from Himalayan segment to Upper segment. Five sites are chosen between a stretch of 60+ km, and samples are collected during monsoon and post-monsoon seasons. Physico-chemical parameters (pH, Turbidity, Sulphate, Phosphate, Fluoride, Chloride, Total Hardness, Calcium, Magnesium, Dissolved Oxygen, BOD, COD, Alkalinity), water quality index and Pearson correlation coefficient were calculated for all chosen sites. Since the study was initiated during COVID, initial results show the impact of reduced industrial and urban activities in improving the overall water quality.

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Section: Resultsmentioning

confidence: 99%

Impact of COVID-19 on Water Quality Index of river Yamuna in Himalayan and upper segment: analysis of monsoon and post-monsoon season

Sharma¹,

Gupta²

2022

Appl Water Sci

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“…In this study, all the relevant parameters were used to calculate WQI. There are four important steps, which are applied to determine the WQI (Mukherjee et al 2012;Singh et al 2018; Ganguly 2020b): Step 1: a weight (w i ) was assigned for each parameter by their relative influence on the overall quality of water. The w i ranges from 1 to 5.…”

Section: Water Quality Indexmentioning

confidence: 99%

“…Step 4: WQI was calculated by summation of all sub-index in a sample: The categorization of WQI rating values (Singh et al 2018; Vasistha and Ganguly 2020a was followed by the BISWQI method and classified into five groups as "excellent" (<50), "good" (50-100), "poor" (100-200), "very poor" (200-300), "unfit for drinking" (>300). The values of WQI were interpolated with the inverse distance weightage (IDW) method by using Arc.GIS 10.4 for its spatial variation in two different situations (pre-lockdown and during lockdown).…”

Section: Water Quality Indexmentioning

confidence: 99%

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Eco-restoration of river water quality during COVID-19 lockdown in the industrial belt of eastern India

Chakraborty¹,

Roy²,

Bera

et al. 2021

Environ Sci Pollut Res

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The sudden lockdown recovers the health of the total environment particularly air and water while the country's economic growth and socio-cultural tempo of people have been completely hampered due to the COVID-19 pandemic. Most of the industries within the catchment area of river Damodar have been closed; as a result, significant changes have been reflected throughout the stretch of river Damodar. The main objective of the study is to analyze the impact of lockdown on the water quality of river Damodar. A total of 55 samples was collected from eleven different confluence sites of nallas with the main river channel during and pre-lockdown period. The relevant methods like WQI, TSI, Pearson's correlation coefficient, and "t" test have been applied to evaluate the physical, chemical, and biological status of river water. The result of "t" test indicated that there are significant differences (α = 0.05) of each parameter between pre and during lockdown. Water quality index (WQI) is used for analysis of drinking water quality suitability followed by BIS. The values of WQI showed "very poor" (S1, S2, S3, S6, S7, and S11) to "unfit for drinking" (S4, S5, S8, S9, and S10) of river water during pre-monsoon season. The nutrient enrichment status of the river was analyzed by Trophic State Index (TSI) method and it shows the "High" eutrophic condition with a heavy concentration of algal blooms in almost an entire stretch. During lockdown, nutrient supplies like TN and TP have been reduced and is designated as "Low" (S1, S2) to "Moderate" (S3 to S11) eutrophic condition of middle stretch of Damodar. This research output of river Damodar will definitely assist to policy makers for sustainable environmental management despite the dilemma between development and conservation.

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“…Long-term use of saline water for irrigation can exert significant effects on the soil permeability [31]. As a result, soil becomes very hard to plough and the growth of vegetation is retarded.…”

Section: Irrigation Water Quality Assessmentmentioning

confidence: 99%

Phreatic Water Quality Assessment and Associated Hydrogeochemical Processes in an Irrigated Region Along the Upper Yellow River, Northwestern China

Liu

Zhao

Yang

et al. 2020

Water

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Groundwater resources are playing an increasingly vital role in water supply for domestic and irrigation purposes in the Yinchuan Plain, along with the reduction in water transfer from the Yellow River. This study aimed to identify the current status of phreatic water quality and associated hydrogeochemical processes in an irrigated region along the upper Yellow River. A total of 78 water samples were collected in September 2018 for chemical analysis. Results showed that the phreatic water was excellent or good in most areas west of the Yellow River, while it was poor or very poor quality in some places east of the Yellow River. The nitrate contamination is particularly severe in the pluvial-alluvial plain, relating to the localized fine-grained zone with low permeability. Most samples had no sodium hazard but had magnesium hazard. Additionally, the overall evolutionary trend of the phreatic water showed the transformation of Ca-Mg-HCO 3 into Na-Cl-SO 4 type. Rock weathering and evaporation jointly predominate the evolution of phreatic water chemistry. The main geochemical processes involve the dissolution/precipitation of gypsum, halite, dolomite. and calcite, along with the cation exchange. Insights from this work have important implications for groundwater sustainable management in such irrigated regions along the upper Yellow River.

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Evaluation of the Surface Water Quality Index of Jharia Coal Mining Region and Its Management of Surface Water Resources

Cited by 16 publications

References 3 publications

Impact of COVID-19 on Water Quality Index of river Yamuna in Himalayan and upper segment: analysis of monsoon and post-monsoon season

Impact of COVID-19 on Water Quality Index of river Yamuna in Himalayan and upper segment: analysis of monsoon and post-monsoon season

Eco-restoration of river water quality during COVID-19 lockdown in the industrial belt of eastern India

Phreatic Water Quality Assessment and Associated Hydrogeochemical Processes in an Irrigated Region Along the Upper Yellow River, Northwestern China

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