International Journal of Innovation and Scientific Research
ISSN: 2351-8014
Friday 03 July 2020






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In Press: Geospatial, Statistical and Human Health Risk Assessment of Groundwater Contamination Around Waste Disposal Site at Khulna in Bangladesh


Md. Refat Hossain1 and Khondoker Mahbub Hassan2

1 Post Graduate Student, Dept. Of CE, Khulna University of Engineering & Technology, Khulna-9203, Bangladesh
2 Professor, Dept. Of CE, Khulna University of Engineering & Technology, Khulna-9203, Bangladesh

Original language: English

Received 14 May 2020

Copyright © 2020 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Abstract Groundwater is an essential source of drinking purpose. Groundwater samples were collected from tube-wells from Rajbandh, Khulna dumping site as well as its adjoining area to find out the level of concentration of different water quality parameters. In order to find out the strength and the linear relationship between different pairs of parameters as well as to predict the level of pollution of groundwater, statistical analysis had been done. The significance level further verified by t-test. The effect of heavy metal on human body can spread risk. That’s why risk assessment was done on those parameters which were exceeded the allowable concentration level referred by The Environment Conservation Rules (ECR) (1997) according to USEPA guidelines (1989) considering ingestion and dermal pathways. The chronic daily intake (CDI), hazard quotient (HQ), hazard index (HI) were evaluated. Furthermore, to check uncertainty of exposure parameters and risk values, Monte Carlo Simulation (MCS) was used. Central Tendency Exposure (CTE) and Reasonable Maximum Exposure (RME) as well as non-carcinogenic condition were used for MCS operation. Nine different water quality parameters were collected from four different locations since a period of 2018. In this study an appreciable strong positive correlation was found for E.C with turbidity, alkalinity; turbidity with alkalinity also for chloride with TDS. A strong negative correlation was found for ph with turbidity, alkalinity, E.C. Water Quality Index (WQI) was used to analyze the groundwater quality of study site. The test result reveals that 50% water samples were found poor quality and 50% samples were found unsuitable for drinking purposes. The WQI ranges from 72.998 to 164.332. Which further analyzed by ArcGIS. RME showed relatively more risk values than that of CTE values. Therefore, the overall assessment reveals that there is a need of some treatment before usage of water and also require to protect the area from landfill contamination.

Author Keywords: Statistical analysis, Monte Carlo Simulation, WQI, ArcGIS.