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首页> 外文期刊>Environmental Science and Pollution Research >Wastewater quality index (WWQI) as an assessment tool of treated wastewater quality for agriculture: a case of North Wastewater Treatment Plant effluent of Isfahan
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Wastewater quality index (WWQI) as an assessment tool of treated wastewater quality for agriculture: a case of North Wastewater Treatment Plant effluent of Isfahan

机译:废水质量指数(WWQI)作为农业处理废水质量的评估工具:北污水处理厂伊斯法罕的案例

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摘要

Treated wastewater reuse is one of the most important ways to confront the water shortage, especially in arid and semiarid regions facing a water crisis such as Iran. This study aims to develop a wastewater quality index (WWQI) to evaluate the effluent quality of the North Wastewater Treatment Plant (WWTP) of Isfahan for agriculture. Three indices, namely overall, acceptability, and health wastewater quality indices (OWWQI, AWWQI, and HWWQI), are developed, using 23 quality parameters of the WWTP effluent. Four different aggregation functions, i.e., weighted arithmetic mean function, weighted geometric function, and two weighted mix functions, are tested. The results revealed that all aggregation functions are free from eclipsing and ambiguity. The weighted arithmetic mean function (WWQI((A))) gave the highest values of OWWQI, AWWQI, and HWWQI, whereas the lowest values were related to the weighted geometric function (WWQI((G))). The sensitivity analysis showed that the OWWQI((G)) and OWWQI((Mix1)) were more sensitive to the group quality rating values. In all aggregation functions, the OWWQI was more sensitive to groups 5 and 6, while group 1 in the OWWQI showed the least sensitivity. It is concluded that the OWWQI((G)) and OWWQI((Mix1)) were the most representative aggregation functions for the estimation of the OWWQI.
机译:经过处理的废水再利用是面对水资源短缺的最重要的方式之一,特别是在干旱和半干旱地区面临着伊朗等水危机的地区。本研究旨在开发一种污水质量指数(WWQI),以评估北污水处理厂(WWTP)农业北污水处理厂(WWTP)的污水质量。三个指数,即总体,可接受性和健康废水质量指数(OWWQI,AWWQI和HWWQI),采用23个质量参数的抗体流出物。测试了四种不同的聚合函数,即加权算术平均函数,加权几何函数和两个加权混合功能。结果表明,所有聚合函数都没有野外和歧义。加权算术平均函数(WWQI((a)))给出了OWWQI,AWWQI和HWWQI的最高值,而最低值与加权几何函数有关(WWQI((g)))。敏感性分析表明,OWWQI((g))和OWWQI((MIX1))对组质量评定值更敏感。在所有聚合函数中,OWWQI对组5和6更敏感,而OWWQI中的第1组表现出最敏感性。结论是,OWWQI((g))和OWWQI((MIX1))是估计OWWQI的最具代表性的聚合职能。

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