School of Civil Engineering, Karunya University, Coimbatore, India.
Environ Technol. 2011 May-Jun;32(7-8):731-8. doi: 10.1080/09593330.2010.510852.
The textile hub of Coimbatore city is facing a serious water pollution problem, both for surface water and groundwater. Industrial and domestic waste is continuously discharged into surface water bodies, resulting in the degradation of groundwater quality. In order to assess the quality of groundwater, the Singanallur area was selected for the present study. The quality of groundwater is worse in this area and the physicochemical parameters exceed the permissible limits of the Indian drinking water standards. The water type of the study area was predominantly NaCl and MgCl. A statistical analysis was carried out to understand the linear relation between the best correlated parameters. The relationship for different parameters for the study area was analysed for two seasons, pre-monsoon and post-monsoon, because the water quality varies widely seasonally. The study showed that there is a good and equal correlation between total hardness and calcium, total hardness and magnesium, and calcium and magnesium in both time periods. The relationship can be utilized to determine the value of calcium and magnesium when the value of total hardness is known for the study area. Cluster analysis was performed to obtain a dendrogram for the study area, from which the source of pollution was identified for different regions.
哥印拜陀市的纺织中心正面临着严重的水污染问题，地表水和地下水均受到污染。工业和生活废水不断排入地表水，导致地下水水质恶化。为了评估地下水的质量，选择了辛加努尔地区进行本研究。该地区的地下水质量较差，理化参数超过了印度饮用水标准的允许限值。研究区的水型主要为 NaCl 和 MgCl。进行了统计分析以了解最佳相关参数之间的线性关系。针对研究区的不同参数，在两个季节（前季风期和后季风期）进行了分析，因为水质在季节之间差异很大。研究表明，在两个时期内，总硬度与钙、总硬度与镁以及钙与镁之间都存在良好且相等的相关性。在研究区域中，当总硬度值已知时，该关系可用于确定钙和镁的值。进行了聚类分析以获得研究区域的 dendrogram，从而确定了不同区域的污染来源。
