利用水质指数(WQI)和GIS技术评价地下水污染

Anam Maqsood, Haroon Rashid, S. Khan, A. Nasir, N. Aman, A. Ullah, Ahmad, R. A. Aslam, Hafiz Muhammad Safder Khan, Muhammad Umar Akbar
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摘要

地下水污染被认为是当今世界的一个主要问题。巴基斯坦的大多数工业生产未经处理的废水,从附近的水源和土壤中提取并污染。本研究在Chiniot区的Nithar Ke地区进行,以评估废水在该地区的流动对地下水质量的影响。目的:(1)考察工业废水的处理条件;(2)利用GIS地图研究地下水中不同参数的空间变异性;(3)利用水质指数(WQI)检查地下水是否适合饮用。研究了地下水样品的理化特征,包括pH值、电导率、总溶解固体、TSS、CO3、HCO3、氯化物、碱度、总硬度、Ca、Mg、砷、铜、铬、镍、铁、锰和硫酸盐,并利用GIS(地理信息系统)分析了地下水的变化。为确定该地区地下水是否适合饮用,建立了水质指数(WQI)。WQI值在41 ~ 89.5之间,水质为差到好。结果发现,污水中BOD、COD、铁、TDS等参数的平均浓度分别为192 mg/L、264 mg/L、2.62 mg/L、6039 mg/L,均超过了允制值。铁和锰是该地区最常见的污染物。双标图和相关圈显示铁与浊度呈正相关关系。建议在该地区进一步研究土壤分层和土壤特征,以便详细分析金属污染的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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, CO3, HCO3, 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.
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