Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method

The reasonable use of water resources has become an important issue for the sustainable development of humanity in the future. Many researches focus on groundwater quality inspection, but not groundwater quality assessment. This paper aims to study groundwater quality evaluation models based on mult...

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Autores principales:	Hongxia Cheng, Zhang Minghui
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	big data analysis groundwater quality evaluation model multi-scale fuzzy comprehensive evaluation water resources Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/a8c72d8f7a724017a2dcfcdede2defe6
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spelling	oai:doaj.org-article:a8c72d8f7a724017a2dcfcdede2defe62021-11-09T23:59:12ZGroundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method2040-22442408-935410.2166/wcc.2021.201https://doaj.org/article/a8c72d8f7a724017a2dcfcdede2defe62021-11-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/7/2908https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354The reasonable use of water resources has become an important issue for the sustainable development of humanity in the future. Many researches focus on groundwater quality inspection, but not groundwater quality assessment. This paper aims to study groundwater quality evaluation models based on multi-scale fuzzy comprehensive evaluation and big data analysis methods. We combine coarse-grained multi-scale fuzzy entropy and fuzzy comprehensive evaluation method to establish a groundwater quality evaluation model based on big data environment. The evaluation of groundwater samples from 327 test points in Huangpu District, Xuhui District, Hongkou District, and Putuo District of Shanghai was conducted. The results show that the overall condition of Shanghai groundwater is better, and more than 94% of samples qualified as drinking water sources. The method presented in this paper not only guarantees that the coarse-grained data on all scales are consistent with the length of the original data, but also avoids the phenomenon of data loss, which greatly improves the accuracy of subsequent algorithms. HIGHLIGHTS This article first introduces the theory of the multi-scale fuzzy comprehensive evaluation method, then uses the scale analysis method to determine the weight and the fuzzy comprehensive evaluation method to calculate the current status of groundwater resources in Shanghai.; Finally, it compares the conclusions obtained with the fuzzy comprehensive evaluation method and analyzes it.; Similarities and differences in evaluation results and their causes.; It can be seen from the comprehensive comparison that the evaluation using the multi-scale fuzzy comprehensive evaluation method can more intuitively compare the differences in water quality between different administrative regions.; The evaluation system in this paper is more comprehensive, and its evaluation results are more comprehensive and reasonable than the fuzzy comprehensive evaluation method.;Hongxia ChengZhang MinghuiIWA Publishingarticlebig data analysisgroundwater quality evaluation modelmulti-scale fuzzy comprehensive evaluationwater resourcesEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 7, Pp 2908-2919 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	big data analysis groundwater quality evaluation model multi-scale fuzzy comprehensive evaluation water resources Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	big data analysis groundwater quality evaluation model multi-scale fuzzy comprehensive evaluation water resources Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Hongxia Cheng Zhang Minghui Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
description	The reasonable use of water resources has become an important issue for the sustainable development of humanity in the future. Many researches focus on groundwater quality inspection, but not groundwater quality assessment. This paper aims to study groundwater quality evaluation models based on multi-scale fuzzy comprehensive evaluation and big data analysis methods. We combine coarse-grained multi-scale fuzzy entropy and fuzzy comprehensive evaluation method to establish a groundwater quality evaluation model based on big data environment. The evaluation of groundwater samples from 327 test points in Huangpu District, Xuhui District, Hongkou District, and Putuo District of Shanghai was conducted. The results show that the overall condition of Shanghai groundwater is better, and more than 94% of samples qualified as drinking water sources. The method presented in this paper not only guarantees that the coarse-grained data on all scales are consistent with the length of the original data, but also avoids the phenomenon of data loss, which greatly improves the accuracy of subsequent algorithms. HIGHLIGHTS This article first introduces the theory of the multi-scale fuzzy comprehensive evaluation method, then uses the scale analysis method to determine the weight and the fuzzy comprehensive evaluation method to calculate the current status of groundwater resources in Shanghai.; Finally, it compares the conclusions obtained with the fuzzy comprehensive evaluation method and analyzes it.; Similarities and differences in evaluation results and their causes.; It can be seen from the comprehensive comparison that the evaluation using the multi-scale fuzzy comprehensive evaluation method can more intuitively compare the differences in water quality between different administrative regions.; The evaluation system in this paper is more comprehensive, and its evaluation results are more comprehensive and reasonable than the fuzzy comprehensive evaluation method.;
format	article
author	Hongxia Cheng Zhang Minghui
author_facet	Hongxia Cheng Zhang Minghui
author_sort	Hongxia Cheng
title	Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
title_short	Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
title_full	Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
title_fullStr	Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
title_full_unstemmed	Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
title_sort	groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/a8c72d8f7a724017a2dcfcdede2defe6
work_keys_str_mv	AT hongxiacheng groundwaterqualityevaluationmodelbasedonmultiscalefuzzycomprehensiveevaluationandbigdataanalysismethod AT zhangminghui groundwaterqualityevaluationmodelbasedonmultiscalefuzzycomprehensiveevaluationandbigdataanalysismethod
_version_	1718440774917423104

Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method

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