Evaluation of Surface Water Quality by Using GIS and a Heavy Metal Pollution Index (HPI) Model in a Coal Mining Area, India

2015 ◽  
Vol 95 (3) ◽  
pp. 304-310 ◽  
Author(s):  
Ashwani Kumar Tiwari ◽  
Marina De Maio ◽  
Prasoon Kumar Singh ◽  
Mukesh Kumar Mahato
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Surface Water ◽  
Metal Pollution ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Mining Area ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Coal Mining Area

scholarly journals Ground water quality evaluation near mining area and development of heavy metal pollution index

2013 ◽  
Vol 4 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Bably Prasad ◽  
Puja Kumari ◽  
Shamima Bano ◽  
Shweta Kumari
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Quality Evaluation ◽  
Pollution Index ◽  
Mining Area ◽  
Ground Water Quality ◽  
Water Quality Evaluation ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index

Assessment of Mine Water Quality Using Heavy Metal Pollution Index in a Coal Mining Area of Damodar River Basin, India

2017 ◽  
Vol 99 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Mukesh Kumar Mahato ◽  
Gurdeep Singh ◽  
Prasoon Kumar Singh ◽  
Abhay Kumar Singh ◽  
Ashwani Kumar Tiwari
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Mine Water ◽  
Pollution Index ◽  
Mining Area ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Coal Mining Area ◽  
Damodar River ◽  
Damodar River Basin

scholarly journals An In-Depth Analysis of Water Quality Using GIS and Heavy Metal Pollution Index near a Gold Mining Area, Qorveh, Iran

2021 ◽  
Author(s):  
Mahsa Jahangiri-rad ◽  
Mohsen Shariati ◽  
Mahdieh Yaaghoubi ◽  
Ali Haghmoradkhani ◽  
Abbas Akbarzadeh
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Gold Mining ◽  
Pollution Index ◽  
Mining Activities ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index

Introduction: Inappropriate management of mining activities may bring about water pollution and pose a heavy complication on aquatic ecosystem and humans. The study aimed to evaluate the effect of Qorveh gold mining activities on the quality of nearby groundwater. Materials and Methods: The concentration of seven eco-toxic metals along with some general hydrochemical parameters were investigated for 27 sampling stations in the study area using Atomic Absorption Spectrometry (AAS) and conventional hydrochemical methods. The analysis results were further applied to compute pollution indices, namely heavy metal pollution index (HPI) for irrigation purposes. Results: The main elements were within the World Health Organization (WHO) and Iranian National Water Standards (INWS) for irrigation water quality, except for NH4+ in some sampling points. The concentration of heavy metals followed the order Cu > Zn > Pb > Hg > Cd > As. The contents of Hg, As, Cd, and Cu in most sites were higher than the recommended values. Except for two stations, the value of HPI based on the mean concentration was found to be far beyond the critical pollution index value of 100, suggesting that the area is highly polluted with some heavy metals. Conclusion: Elevated concentration of trace elements found in groundwater of this area represented the release of harmful elements from gold mining activities on surrounding environment.

scholarly journals Assessment of Potability of Minewater Pumped Out from Jharia Coalfield, India: An Integrated Approach Using Integrated Water Quality Index, Heavy Metal Pollution Index and Multivariate Statistics

2021 ◽  
Author(s):  
Pritam Mazinder Baruah ◽  
Gurdeep Singh
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Water Quality Index ◽  
Quality Index ◽  
Pollution Index ◽  
Integrated Approach ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Jharia Coalfield

Abstract The dense and industrialized populace in the mining areas of Jharia Coalfield (JCF) is plagued by a severe shortage of water supply. The unutilized pumped out coal minewater discharges may be utilized to cater to the increasing water demand of the region but it runs the risk of getting contaminated from domestic and industrial effluents. The current study aimed to assess the suitableness of augmenting underground minewater for potable purposes. Minewater samples collected from 15 locations (minewater treatment plants) across JCF for the hydrological year 2019-2020 were analysed to gain an insight on the physico-chemical characteristics of the minewater using an integrated approach of standard hydrochemical methods, Integrated Water Quality Index (IWQI), Heavy metal Pollution Index (HPI) and Multivariate Statistical Analysis. The integrated approach gives a holistic assessment of the minewater quality, overcoming the limitations of traditional water quality indices, to give a more accurate assessment. The analysis of minewater in the region identified Ca–Mg–HCO3 and Ca–Mg–Cl–SO4 as the two major water types. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) of the minewater revealed the influence of lithogenic and anthropogenic processes in modulating the water chemistry of the region. This study could facilitate effective water quality management practices while also laying the foundation for augmenting minewater for potable purposes to meet increasing demands.

scholarly journals WATER QUALITY ANALYSIS OF CODE RIVER BASED ON METAL AND NONMETAL PARAMETERS USING HEAVY METAL POLLUTION INDEX

2021 ◽  
Vol 13 (2) ◽  
pp. 145
Author(s):  
Margaretha Widyastuti ◽  
Galih Dwi Jayanto ◽  
Muhammad Ridho Irshabdillah
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
River Water ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
River Water Quality ◽  
Heavy Metal Pollution Index ◽  
Domestic Waste ◽  
Metal Pollution Index

Code is one of the rivers influenced by a large number of waste-generating human activities in Yogyakarta, Indonesia. Despite continued discharges of pollution loads from anthropogenic waste, the heavy metal pollution index (HPI)—a water quality index assessing heavy metal ions present in a body of water—remains nationally underutilized. The research was intended to 1) analyze the river water quality based on metal and nonmetal parameters typical of domestic waste, 2) calculate HPI using either and both parameters, and 3) evaluate the resultant water quality status. The water quality data were the products of temporal river monitoring conducted by the Forestry and Environmental Office for Yogyakarta. The heavy metal parameters included Fe, Cu, Cd, Cr, and Pb, while the nonmetal parameters were BOD, COD, TSS, ammonia, oil and grease, and total coliforms. Each parameter value was compared with the water quality standard issued in Governor Regulation No. 20/2008.  The results showed that the HPI composite of heavy metal parameters classified the river water quality as excellent (2.52), whereas the one representing nonmetal parameters indicated bad quality (55.04). Nevertheless, based on the HPI composed of all parameters, the quality fell into the category excellent (3.94). Consequently, when all metal and nonmetal parameters are combined into the HPI calculation, the river shows a better water quality status.Keywords: HPI (Heavy Metal Pollution Index) water quality, domestic waste, heavy metal, Yogyakarta

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