An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index

The entropy weighting model (EWM) is widely used for evaluating the water quality index (WQI). Weights are assigned by EWM according to the degree of differentiation of the indicators. The higher the discrimination degree of the pollutant is, the larger its weight is. Through a counterexample, an ab...

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Autores principales:	Wang Zhe, Xing Xigang, Yan Feng
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Water quality assessment Weight determining theory Distortion Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c3d3ce38341d4638b1e7861edb292a44
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spelling	oai:doaj.org-article:c3d3ce38341d4638b1e7861edb292a442021-12-01T04:59:36ZAn abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index1470-160X10.1016/j.ecolind.2021.108137https://doaj.org/article/c3d3ce38341d4638b1e7861edb292a442021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008025https://doaj.org/toc/1470-160XThe entropy weighting model (EWM) is widely used for evaluating the water quality index (WQI). Weights are assigned by EWM according to the degree of differentiation of the indicators. The higher the discrimination degree of the pollutant is, the larger its weight is. Through a counterexample, an abnormal phenomenon in EWM during the dynamic evaluation of WQI is revealed. In this counterexample, the water quality condition at three monitoring sites is evaluated based on the permanganate index (CODMn), ammonia nitrogen (NH3-N), and total phosphorus (TP). The observation data from each sampling point shows a continuous deterioration. However, from the weight parameters generated by EWM, the WQI results of these three monitoring sites continuously improve from 50.74, 50.74, and 55.20 to 63.33, 61.20, and 61.82, respectively. This abnormal phenomenon is discussed. The evaluation results of WQI, in which EWM is used to assign weights, may probably be contrary to the actual change in the pollutants. The abnormal phenomenon is due to the continuous deteriorating process. The discrimination degrees of clean indices become higher, and the discrimination degrees of heavy pollution indices become lower. The main contribution of this study is to reveal the distortion of EWM in the weighting process, which ensures the rationality of the dynamic evaluation of water quality evaluation. To avoid this abnormal phenomenon, the dynamic trend of pollutants should be analyzed or predicted before weighting.Wang ZheXing XigangYan FengElsevierarticleWater quality assessmentWeight determining theoryDistortionEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108137- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Water quality assessment Weight determining theory Distortion Ecology QH540-549.5
spellingShingle	Water quality assessment Weight determining theory Distortion Ecology QH540-549.5 Wang Zhe Xing Xigang Yan Feng An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
description	The entropy weighting model (EWM) is widely used for evaluating the water quality index (WQI). Weights are assigned by EWM according to the degree of differentiation of the indicators. The higher the discrimination degree of the pollutant is, the larger its weight is. Through a counterexample, an abnormal phenomenon in EWM during the dynamic evaluation of WQI is revealed. In this counterexample, the water quality condition at three monitoring sites is evaluated based on the permanganate index (CODMn), ammonia nitrogen (NH3-N), and total phosphorus (TP). The observation data from each sampling point shows a continuous deterioration. However, from the weight parameters generated by EWM, the WQI results of these three monitoring sites continuously improve from 50.74, 50.74, and 55.20 to 63.33, 61.20, and 61.82, respectively. This abnormal phenomenon is discussed. The evaluation results of WQI, in which EWM is used to assign weights, may probably be contrary to the actual change in the pollutants. The abnormal phenomenon is due to the continuous deteriorating process. The discrimination degrees of clean indices become higher, and the discrimination degrees of heavy pollution indices become lower. The main contribution of this study is to reveal the distortion of EWM in the weighting process, which ensures the rationality of the dynamic evaluation of water quality evaluation. To avoid this abnormal phenomenon, the dynamic trend of pollutants should be analyzed or predicted before weighting.
format	article
author	Wang Zhe Xing Xigang Yan Feng
author_facet	Wang Zhe Xing Xigang Yan Feng
author_sort	Wang Zhe
title	An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
title_short	An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
title_full	An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
title_fullStr	An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
title_full_unstemmed	An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
title_sort	abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c3d3ce38341d4638b1e7861edb292a44
work_keys_str_mv	AT wangzhe anabnormalphenomenoninentropyweightmethodinthedynamicevaluationofwaterqualityindex AT xingxigang anabnormalphenomenoninentropyweightmethodinthedynamicevaluationofwaterqualityindex AT yanfeng anabnormalphenomenoninentropyweightmethodinthedynamicevaluationofwaterqualityindex AT wangzhe abnormalphenomenoninentropyweightmethodinthedynamicevaluationofwaterqualityindex AT xingxigang abnormalphenomenoninentropyweightmethodinthedynamicevaluationofwaterqualityindex AT yanfeng abnormalphenomenoninentropyweightmethodinthedynamicevaluationofwaterqualityindex
_version_	1718405626870104064

An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index

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