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Seasonal monitoring of heavy metals and physicochemical characteristics in a lentic ecosystem of subtropical industrial region, India

机译:印度亚热带工业区透镜体生态系统中的重金属和理化特征的季节性监测

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摘要

Assessment of seasonal changes in surface water quality is an important aspect for evaluating temporal variations of lentic ecosystem (lakes and reservoirs) pollution due to industrial effluent discharge. In this study, nine metals and 15 physicochemical parameters, collected from four sampling sites in a tropical lake receiving the discharge from thermal power plant, coal mine, and chloralkali industry, during the years from 2004 to 2005, were analyzed. For greater efficacy in monitoring of heavy metals, particle-induced X-ray emission has been used during present investigation. Different statistical techniques like analysis of variance, Pearson correlation, principal component analysis, and factor analysis were employed to evaluate the seasonal correlations of physicochemical parameters. Most of the metals and physicochemical parameters monitored in the present study exhibited high spatial and temporal variability. Pertaining to metal pollution, the most polluted site was Belwadah, i.e., waters and sediments had the highest concentration of all the relevant metals. The reference site was characterized by the presence of low concentrations of metals in waters and in sediments. Based on the high metal concentration recorded in lake ambient, drinking, bathing, and irrigation water should not be used by the local people at the effluent discharge points.
机译:评估地表水水质的季节性变化是评估因工业废水排放而造成的透镜体生态系统(湖泊和水库)污染随时间变化的重要方面。在这项研究中,分析了2004年至2005年期间从一个热电厂,煤矿和氯碱工业排放的热带湖中四个采样点收集的9种金属和15种理化参数。为了提高监测重金属的功效,目前的研究中使用了颗粒诱导的X射线发射。采用不同的统计技术,如方差分析,Pearson相关性,主成分分析和因子分析,来评估理化参数的季节性相关性。在本研究中监测的大多数金属和理化参数表现出很高的时空变异性。与金属污染有关,污染最严重的地方是Belwadah,即水和沉积物中所有相关金属的浓度最高。参考点的特征是水和沉积物中存在低浓度的金属。基于湖泊环境中记录的高金属浓度,当地人不应在污水排放点使用饮用水,沐浴水和灌溉水。

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