Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county
Groundwater quality is affected by various indexes, and the influence of each index on groundwater quality is fuzzy. Therefore, adopting a reasonable evaluation method can make the groundwater quality evaluation more accurate. Although fuzzy comprehensive evaluation method has great advantages in an...
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| Veröffentlicht in: | Earth science informatics 2021-06, Vol.14 (2), p.1101-1109 |
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| creator | Zhang, Wenping Li, Bo Liu, Zijie Zhang, Beibei |
| description | Groundwater quality is affected by various indexes, and the influence of each index on groundwater quality is fuzzy. Therefore, adopting a reasonable evaluation method can make the groundwater quality evaluation more accurate. Although fuzzy comprehensive evaluation method has great advantages in analyzing fuzzy problems, it has shortcomings in solving problems like weight calculation. The fuzzy comprehensive evaluation method was improved by combining with the entropy weight method in this study. On basis of this, a groundwater quality evaluation model was established. At the same time, by taking the groundwater aquifer of Cambrian Gaotai formation in Cengong County, Guizhou Province as a research object and based on the water quality monitoring data of 14 boreholes there, the model was adopted to evaluate the water quality of the aquifer by combining with GIS technology. The results demonstrated the feasibility and superiority of the improved fuzzy comprehensive theory in groundwater quality evaluation. |
| doi_str_mv | 10.1007/s12145-021-00611-8 |
| format | Article |
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Therefore, adopting a reasonable evaluation method can make the groundwater quality evaluation more accurate. Although fuzzy comprehensive evaluation method has great advantages in analyzing fuzzy problems, it has shortcomings in solving problems like weight calculation. The fuzzy comprehensive evaluation method was improved by combining with the entropy weight method in this study. On basis of this, a groundwater quality evaluation model was established. At the same time, by taking the groundwater aquifer of Cambrian Gaotai formation in Cengong County, Guizhou Province as a research object and based on the water quality monitoring data of 14 boreholes there, the model was adopted to evaluate the water quality of the aquifer by combining with GIS technology. The results demonstrated the feasibility and superiority of the improved fuzzy comprehensive theory in groundwater quality evaluation.</description><identifier>ISSN: 1865-0473</identifier><identifier>EISSN: 1865-0481</identifier><identifier>DOI: 10.1007/s12145-021-00611-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquifers ; Boreholes ; Cambrian ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Entropy ; Environmental monitoring ; Evaluation ; Groundwater ; Groundwater quality ; Information Systems Applications (incl.Internet) ; Karst ; Ontology ; Problem solving ; Quality assessment ; Research Article ; Simulation and Modeling ; Space Exploration and Astronautics ; Space Sciences (including Extraterrestrial Physics ; Water monitoring ; Water quality ; Water quality management ; Water quality monitoring</subject><ispartof>Earth science informatics, 2021-06, Vol.14 (2), p.1101-1109</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-a85c0e1996ac14bfd4f6b0e3c7ab82f41846959542ad2e3c924a4e573ef4baf83</citedby><cites>FETCH-LOGICAL-a342t-a85c0e1996ac14bfd4f6b0e3c7ab82f41846959542ad2e3c924a4e573ef4baf83</cites><orcidid>0000-0002-3283-5999</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12145-021-00611-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12145-021-00611-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Zhang, Wenping</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Liu, Zijie</creatorcontrib><creatorcontrib>Zhang, Beibei</creatorcontrib><title>Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county</title><title>Earth science informatics</title><addtitle>Earth Sci Inform</addtitle><description>Groundwater quality is affected by various indexes, and the influence of each index on groundwater quality is fuzzy. Therefore, adopting a reasonable evaluation method can make the groundwater quality evaluation more accurate. Although fuzzy comprehensive evaluation method has great advantages in analyzing fuzzy problems, it has shortcomings in solving problems like weight calculation. The fuzzy comprehensive evaluation method was improved by combining with the entropy weight method in this study. On basis of this, a groundwater quality evaluation model was established. At the same time, by taking the groundwater aquifer of Cambrian Gaotai formation in Cengong County, Guizhou Province as a research object and based on the water quality monitoring data of 14 boreholes there, the model was adopted to evaluate the water quality of the aquifer by combining with GIS technology. The results demonstrated the feasibility and superiority of the improved fuzzy comprehensive theory in groundwater quality evaluation.</description><subject>Aquifers</subject><subject>Boreholes</subject><subject>Cambrian</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Entropy</subject><subject>Environmental monitoring</subject><subject>Evaluation</subject><subject>Groundwater</subject><subject>Groundwater quality</subject><subject>Information Systems Applications (incl.Internet)</subject><subject>Karst</subject><subject>Ontology</subject><subject>Problem solving</subject><subject>Quality assessment</subject><subject>Research Article</subject><subject>Simulation and Modeling</subject><subject>Space Exploration and Astronautics</subject><subject>Space Sciences (including Extraterrestrial Physics</subject><subject>Water monitoring</subject><subject>Water quality</subject><subject>Water quality management</subject><subject>Water quality monitoring</subject><issn>1865-0473</issn><issn>1865-0481</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kD1PwzAURS0EElXpH2CyxBywHeeLrar4kpBYYLac5DkNpHZqO0Xpzv_GJQiYmGw_nXevfBA6p-SSEpJdOcooTyLCaERISmmUH6EZzdMw4jk9_rln8SlaONeWJKYsjRnLZ-hj2fddW0nfGo2Nwu2mt2YHNVbDfj_iyoQ3rEG7dgcYdrIbJnQDfm1q3Gr8Jq3zuLFm0PW79GDxdpBd68c_-DWWuJIOsPNDPR56VqAbo5tQMGg_nqETJTsHi-9zjl5ub55X99Hj093DavkYyZgzH8k8qQjQokhlRXmpaq7SkkBcZbLMmeI052mRFAlnsmZhXDAuOSRZDIqXUuXxHF1MueGT2wGcF69msDpUCpYwHrxQygPFJqqyxjkLSvS23Ug7CkrEwbiYjItgXHwZF4foeFpyAdYN2N_of7Y-AWt1hvw</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Zhang, Wenping</creator><creator>Li, Bo</creator><creator>Liu, Zijie</creator><creator>Zhang, Beibei</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TG</scope><scope>7XB</scope><scope>88I</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KL.</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-3283-5999</orcidid></search><sort><creationdate>20210601</creationdate><title>Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county</title><author>Zhang, Wenping ; 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| subjects | Aquifers Boreholes Cambrian Earth and Environmental Science Earth Sciences Earth System Sciences Entropy Environmental monitoring Evaluation Groundwater Groundwater quality Information Systems Applications (incl.Internet) Karst Ontology Problem solving Quality assessment Research Article Simulation and Modeling Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Water monitoring Water quality Water quality management Water quality monitoring |
| title | Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county |
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