基于水质指数和多元统计技术的诺雅尔河水质评价

Q2 Environmental Science
A. Subramanian, S. Baskar
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引用次数: 2

摘要

摘要诺亚尔河是一条重要的河流,流经印度泰米尔纳德邦的哥印拜陀、蒂鲁普尔和埃罗德地区。这条河是上述地区农业和生活用水的主要来源。本研究评估了诺亚尔河的地表水质量及其饮用和农业用途的适宜性。在这项研究中,从诺亚尔河的源头到汇点,从27个地点采集了样本。指定了水质指数(WQI)值,除27个样本中的两个外,所有其他样本均被归类为差、极差和不适合饮用。评估诺亚尔河灌溉水质的参数包括电导率(EC)、钠吸附率(SAR)、可溶性钠百分比(SSP)、残留碳酸钠(RSC)、镁危害(MH)、凯利比(KR)和渗透指数(PI)。USSL(美国盐度实验室)图表分析有助于将Noyyal河的样本1和2分为C1S1和C2S1类别,分别表示低盐度低钠和中盐度低钠。其余的样本属于非常高盐度和非常高钠的水。RSC、镁危害、可溶性钠百分比、凯利比和渗透指数等其他指标表明,大多数采集的样本属于不适合农业使用的类别,需要特殊的管理措施。主成分分析确定了四个PC,这四个PC解释了数据结构中84.88%的总方差。本研究得出的结论是,如果不进行处理,我们就不能直接使用Noyyal河的地表水,应实施严格的管理实践,以实现资源的可持续利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
ABSTRACT Noyyal River is an important river that flows through the districts of Coimbatore, Tirupur, and Erode in Tamil Nadu, India. This river is the prime source of water for agricultural and domestic purposes in the above districts. This study evaluates the surface water quality of the Noyyal river and its suitability for drinking and agricultural uses. For this study, samples were collected from 27 locations along the Noyyal river from its source to sink. The water quality index (WQI) values were designated and, except for two samples out of 27, all the other samples were categorized as poor, very poor, and unfit for consumption. The parameters evaluated to assess the water quality of the Noyyal river for irrigation include Electrical conductivity (EC), Sodium adsorption ratio (SAR), Soluble sodium percentage (SSP), Residual sodium carbonate (RSC), Magnesium hazard (MH), Kelly’s ratio (KR), and Permeability index (PI). USSL (U.S. Salinity Laboratory) diagram analysis helped to classify the samples 1 and 2 of the Noyyal river in the C1S1 and C2S1 category, which indicates low salinity-low sodium and medium salinity-low sodium, respectively. The rest of the samples fall under the category of very high salinity and very high sodium waters. Other indices like RSC, magnesium hazard, soluble sodium percentage, Kelly’s ratio, and permeability index signified that majority of the collected samples fall in the category of unsuitable for agricultural use and they need special management practices. The Principle component analysis determined the four PCs that explained 84.88% of the total variance in the data structure. The present study concludes that we cannot use the surface water of the Noyyal river directly without treatment and strict management practices should be implemented for the sustainable use of the resource.
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来源期刊
Water Science
Water Science Environmental Science-Ecology
CiteScore
3.00
自引率
0.00%
发文量
12
审稿时长
18 weeks
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