Assessment of Surface Water Quality Using Heavy Metal Pollution Index in Subarnarekha River, India

2013 ◽  
Vol 5 (4) ◽  
pp. 173-182 ◽  
Author(s):  
Soma Giri ◽  
Abhay Kumar Singh
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Surface Water ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Subarnarekha River

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 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

scholarly journals Development of a new noncarcinogenic heavy metal pollution index for quality ranking of vegetable, rice, and milk

2020 ◽  
Vol 113 ◽  
pp. 106214 ◽  
Author(s):  
Soma Giri ◽  
Mukesh Kumar Mahato ◽  
Santanu Bhattacharjee ◽  
Abhay Kumar Singh
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Quality Ranking
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