Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques

Groundwater pollution is considered a major concern in today’s world. Most industries in Pakistan produce untreated wastewater, extracting from and contaminating a nearby water source and the soil. This study was conducted in the Nithar Ke area of Chiniot District to assess the impact of the flow of...

Full description

Bibliographic Details
Main Authors: Anam Maqsood, Haroon Rashid, Shahbaz Nasir Khan, Abdul Nasir, Nafeesa Aman, Ahsan Saif Ullah, Ahmad, Rana Ammar Aslam, Hafiz Muhammad Safdar Khan, Muhammad Umar Akbar
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Pollutants
Subjects:
Online Access:https://www.mdpi.com/2673-4672/3/1/3
_version_ 1827747950854406144
author Anam Maqsood
Haroon Rashid
Shahbaz Nasir Khan
Abdul Nasir
Nafeesa Aman
Ahsan Saif Ullah
Ahmad
Rana Ammar Aslam
Hafiz Muhammad Safdar Khan
Muhammad Umar Akbar
author_facet Anam Maqsood
Haroon Rashid
Shahbaz Nasir Khan
Abdul Nasir
Nafeesa Aman
Ahsan Saif Ullah
Ahmad
Rana Ammar Aslam
Hafiz Muhammad Safdar Khan
Muhammad Umar Akbar
author_sort Anam Maqsood
collection DOAJ
description Groundwater pollution is considered a major concern in today’s world. Most industries in Pakistan produce untreated wastewater, extracting from and contaminating a nearby water source and the soil. This study was conducted in the Nithar Ke area of Chiniot District to assess the impact of the flow of wastewater over the area on groundwater quality. It aimed to: (1) investigate the conditions of industrial wastewater; (2) study the spatial variability of different parameters in groundwater using a GIS map; and (3) check the appropriateness of groundwater for drinking purposes using the water quality index (WQI). Physical and chemical characteristics, including pH, electrical conductivity, total dissolved solids, TSS, CO<sub>3</sub>, HCO<sub>3</sub>, chlorides, alkalinity, total hardness, Ca, Mg, arsenic, copper, chromium, nickel, iron, manganese, and sulfate, were tested using groundwater samples, and variance in groundwater was analyzed using a GIS (geographic information system). The water quality index (WQI) was developed for the Nithar Ke area to determine the appropriateness of the groundwater for drinking purposes. WQI values were determined within the range of 41 to 89.5, which showed a poor to good water quality. It was discovered that parameters such as BOD, COD, iron, and TDS had average concentrations of 192 mg/L, 264 mg/L, 2.62 mg/L, and 6039 mg/L, respectively, in the polluted water, which exceeded the permissible limit. Iron and manganese were the most common contaminants found in that area. The biplot and correlation circle showed that iron and turbidity had a positive relationship. Further study on soil stratification and soil characteristics is recommended in this area for a detailed analysis of the causes of metal contamination.
first_indexed 2024-03-11T06:00:28Z
format Article
id doaj.art-a84719162fc841e6a834d44570cf5795
institution Directory Open Access Journal
issn 2673-4672
language English
last_indexed 2024-03-11T06:00:28Z
publishDate 2023-01-01
publisher MDPI AG
record_format Article
series Pollutants
spelling doaj.art-a84719162fc841e6a834d44570cf57952023-11-17T13:23:51ZengMDPI AGPollutants2673-46722023-01-0131274210.3390/pollutants3010003Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS TechniquesAnam Maqsood0Haroon Rashid1Shahbaz Nasir Khan2Abdul Nasir3Nafeesa Aman4Ahsan Saif Ullah5Ahmad6Rana Ammar Aslam7Hafiz Muhammad Safdar Khan8Muhammad Umar Akbar9Department of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Civil Engineering, Faculty of Engineering and Technology, Islamia University Bahawalpur, Bahawalpur 63100, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Structures and Environmental Engineering, University of Agricultural Faisalabad, Faisalabad 38000, PakistanDepartment of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK 74078, USAGroundwater pollution is considered a major concern in today’s world. Most industries in Pakistan produce untreated wastewater, extracting from and contaminating a nearby water source and the soil. This study was conducted in the Nithar Ke area of Chiniot District to assess the impact of the flow of wastewater over the area on groundwater quality. It aimed to: (1) investigate the conditions of industrial wastewater; (2) study the spatial variability of different parameters in groundwater using a GIS map; and (3) check the appropriateness of groundwater for drinking purposes using the water quality index (WQI). Physical and chemical characteristics, including pH, electrical conductivity, total dissolved solids, TSS, CO<sub>3</sub>, HCO<sub>3</sub>, chlorides, alkalinity, total hardness, Ca, Mg, arsenic, copper, chromium, nickel, iron, manganese, and sulfate, were tested using groundwater samples, and variance in groundwater was analyzed using a GIS (geographic information system). The water quality index (WQI) was developed for the Nithar Ke area to determine the appropriateness of the groundwater for drinking purposes. WQI values were determined within the range of 41 to 89.5, which showed a poor to good water quality. It was discovered that parameters such as BOD, COD, iron, and TDS had average concentrations of 192 mg/L, 264 mg/L, 2.62 mg/L, and 6039 mg/L, respectively, in the polluted water, which exceeded the permissible limit. Iron and manganese were the most common contaminants found in that area. The biplot and correlation circle showed that iron and turbidity had a positive relationship. Further study on soil stratification and soil characteristics is recommended in this area for a detailed analysis of the causes of metal contamination.https://www.mdpi.com/2673-4672/3/1/3groundwaterphysiochemical parametersheavy metalironmanganeseWQI
spellingShingle Anam Maqsood
Haroon Rashid
Shahbaz Nasir Khan
Abdul Nasir
Nafeesa Aman
Ahsan Saif Ullah
Ahmad
Rana Ammar Aslam
Hafiz Muhammad Safdar Khan
Muhammad Umar Akbar
Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques
Pollutants
groundwater
physiochemical parameters
heavy metal
iron
manganese
WQI
title Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques
title_full Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques
title_fullStr Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques
title_full_unstemmed Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques
title_short Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques
title_sort wastewater characterization of chiniot drain and evaluation of groundwater contamination using water quality index wqi and gis techniques
topic groundwater
physiochemical parameters
heavy metal
iron
manganese
WQI
url https://www.mdpi.com/2673-4672/3/1/3
work_keys_str_mv AT anammaqsood wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT haroonrashid wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT shahbaznasirkhan wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT abdulnasir wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT nafeesaaman wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT ahsansaifullah wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT ahmad wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT ranaammaraslam wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT hafizmuhammadsafdarkhan wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques
AT muhammadumarakbar wastewatercharacterizationofchiniotdrainandevaluationofgroundwatercontaminationusingwaterqualityindexwqiandgistechniques