Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model

As the water environment system is random and fuzzy,and the cloud model proposed in the 1990s can flexibly realize the conversion of data and concepts,the model is gradually applied in water quality evaluation.Water quality evaluation is essentially a multi-attribute classification problem,and the E...

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Main Authors: MA Congcong, LIU Dengfeng, HUANG Qiang, YANG Zhiyong, PAN Baozhu, LIN Mu
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2022-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.009
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author MA Congcong
LIU Dengfeng
HUANG Qiang
YANG Zhiyong
PAN Baozhu
LIN Mu
author_facet MA Congcong
LIU Dengfeng
HUANG Qiang
YANG Zhiyong
PAN Baozhu
LIN Mu
author_sort MA Congcong
collection DOAJ
description As the water environment system is random and fuzzy,and the cloud model proposed in the 1990s can flexibly realize the conversion of data and concepts,the model is gradually applied in water quality evaluation.Water quality evaluation is essentially a multi-attribute classification problem,and the Euclidean distance can well characterize the multi-attribute problem,which is also gradually applied in water quality evaluation.To compare the advantages and disadvantages of the variable-weighted Euclidean distance method and the evaluation method by the entropy-weighted cloud model in water quality evaluation,we utilize the water quality monitoring data of three major rivers in Shaanxi Province in 2020,i.e.,Weihe River,Hanjiang River,and Danjiang River.Specifically,we evaluate the environmental quality of surface water in 40 cross-sections of the three rivers using the above two methods.The results reveal that the water quality in the study area is good,and the water quality in more than 70% of the sites reaches Class III.The seriously polluted cross-sections are mainly located in the tributaries of Weihe River,and the main pollutants are chemical oxygen demand (COD) and ammonia nitrogen.
format Article
id doaj-art-f40df3f62e50459ea8c3202cf9a6507e
institution Kabale University
issn 1001-9235
language zho
publishDate 2022-01-01
publisher Editorial Office of Pearl River
record_format Article
series Renmin Zhujiang
spelling doaj-art-f40df3f62e50459ea8c3202cf9a6507e2025-01-15T02:27:07ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352022-01-014347644681Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud ModelMA CongcongLIU DengfengHUANG QiangYANG ZhiyongPAN BaozhuLIN MuAs the water environment system is random and fuzzy,and the cloud model proposed in the 1990s can flexibly realize the conversion of data and concepts,the model is gradually applied in water quality evaluation.Water quality evaluation is essentially a multi-attribute classification problem,and the Euclidean distance can well characterize the multi-attribute problem,which is also gradually applied in water quality evaluation.To compare the advantages and disadvantages of the variable-weighted Euclidean distance method and the evaluation method by the entropy-weighted cloud model in water quality evaluation,we utilize the water quality monitoring data of three major rivers in Shaanxi Province in 2020,i.e.,Weihe River,Hanjiang River,and Danjiang River.Specifically,we evaluate the environmental quality of surface water in 40 cross-sections of the three rivers using the above two methods.The results reveal that the water quality in the study area is good,and the water quality in more than 70% of the sites reaches Class III.The seriously polluted cross-sections are mainly located in the tributaries of Weihe River,and the main pollutants are chemical oxygen demand (COD) and ammonia nitrogen.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.009single-factor evaluation methodvariable-weighted Euclidean distance methodcomprehensive evaluation method by entropy weight cloud modelwater quality evaluationchanging trend of water quality
spellingShingle MA Congcong
LIU Dengfeng
HUANG Qiang
YANG Zhiyong
PAN Baozhu
LIN Mu
Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model
Renmin Zhujiang
single-factor evaluation method
variable-weighted Euclidean distance method
comprehensive evaluation method by entropy weight cloud model
water quality evaluation
changing trend of water quality
title Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model
title_full Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model
title_fullStr Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model
title_full_unstemmed Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model
title_short Water Quality Evaluation and Comparison of Provincial Assessment Sections Based on Evaluation Method by Entropy-Weighted Cloud Model
title_sort water quality evaluation and comparison of provincial assessment sections based on evaluation method by entropy weighted cloud model
topic single-factor evaluation method
variable-weighted Euclidean distance method
comprehensive evaluation method by entropy weight cloud model
water quality evaluation
changing trend of water quality
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.009
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AT huangqiang waterqualityevaluationandcomparisonofprovincialassessmentsectionsbasedonevaluationmethodbyentropyweightedcloudmodel
AT yangzhiyong waterqualityevaluationandcomparisonofprovincialassessmentsectionsbasedonevaluationmethodbyentropyweightedcloudmodel
AT panbaozhu waterqualityevaluationandcomparisonofprovincialassessmentsectionsbasedonevaluationmethodbyentropyweightedcloudmodel
AT linmu waterqualityevaluationandcomparisonofprovincialassessmentsectionsbasedonevaluationmethodbyentropyweightedcloudmodel