Groundwater quality assessment based on projection pursuit and fuzzy matter-element model - Details

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Abstract：

A　combined　model　is　proposed　to　assess　the　groundwater　quality　through　combination　of　projection　pursuit　model　and　fuzzy　matter-element　model　for　the　incompatible　characteristics　and　diversity　of　the　water　quality　evaluation　index,　etc.　Using　projection　pursuit　(PP)　method　the　model　constructs　the　projection　index　function,　and　firefly　algorithm　(FA)　was　adopted　to　optimize　the　projection　index　function　for　obtaining　the　best　projection　direction　of　groundwater　quality　index　evaluation　system　which　was　applied　to　determine　the　weights　of　various　evaluation　index.　By　calculating　the　Euclid　approach　degree　between　compound　fuzzy　matter-element　and　a　standard　fuzzy　matter　element,　a　comprehensive　evaluation　of　groundwater　quality　was　achieved.　Nine　cases　of　dry　season　samples　of　Beijing　(2012)　were　randomly　selected　and　analyzed　the　water　quality　with　the　combined　model.　The　evaluation　results　of　the　combined　model　were　compared　with　one　of　projection　pursuit　models　(RAGA-PP)　and　comprehensive　scoring　method　(F　value　method).　Results　of　the　application　example　approved　that　the　combined　model　is　feasible　and　effective.

Keyword：

Firefly algorithm; Fuzzy matter-element; Groundwater quality assessment; Projection pursuit

Author Community：

[ 1 ] [Gong, Y.-C.]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Zhang, Y.-X.]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Ren, Z.-Y.]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Lan, S.-S.]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Ding, F.]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
[ 6 ] [Hao, J.]Department of Water Resource, China Institute of Water Resource and Hydropower Research, Beijing, 100038, China

Reprint Author's Address：

张永祥
[Zhang, Y.-X.]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of TechnologyChina

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Source ：

Journal of Beijing University of Technology

ISSN： 0254-0037

Year： 2014

Issue： 9

Volume： 40

Page： 1402-1407

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WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 1

Affiliated Colleges：

城市建设学部建筑工程学院

环境与生命学部环境与能源工程学院

城市建设学部

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