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Tytuł pozycji:

Dynamic water quality evaluation based on fuzzy matter-element model and functional data analysis, a case study in Poyang Lake.

Tytuł :
Dynamic water quality evaluation based on fuzzy matter-element model and functional data analysis, a case study in Poyang Lake.
Autorzy :
Li B; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.; Department of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University , 24118, Kiel, Germany.
Yang G; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China. .
Wan R; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Hörmann G; Department of Hydrology and Water Resources Management, Institute of Natural Resource Conservation, Kiel University , 24118, Kiel, Germany.
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Źródło :
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2017 Aug; Vol. 24 (23), pp. 19138-19148. Date of Electronic Publication: 2017 Jun 28.
Typ publikacji :
Journal Article
Język :
English
Imprint Name(s) :
Publication: <2013->: Berlin : Springer
Original Publication: Landsberg, Germany : Ecomed
MeSH Terms :
Environmental Monitoring*/methods
Lakes*
Models, Theoretical*
Water Quality*
China ; Fuzzy Logic ; Nitrogen/analysis ; Phosphorus/analysis ; Seasons
References :
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Sci Total Environ. 2016 Jul 1;557-558:296-306. (PMID: 27016677)
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Environ Int. 2006 Aug;32(6):733-42. (PMID: 16678900)
J Environ Manage. 2012 Dec 15;112:87-95. (PMID: 22885368)
J Environ Sci (China). 2006;18(5):1020-3. (PMID: 17278765)
Environ Monit Assess. 2014 Jul;186(7):4237-47. (PMID: 24615690)
BMC Med Res Methodol. 2013 Mar 19;13:43. (PMID: 23510439)
Ecotoxicol Environ Saf. 2009 Feb;72(2):301-9. (PMID: 18423587)
Grant Information :
2012CB417006 National basic Research Program of China (973 program); 41571107;41601041 National Scientific Foundation of China
Contributed Indexing :
Keywords: Functional data analysis; Fuzzy matter–element model; Poyang Lake; Water quality evaluation
Substance Nomenclature :
27YLU75U4W (Phosphorus)
N762921K75 (Nitrogen)
Entry Date(s) :
Date Created: 20170630 Date Completed: 20181011 Latest Revision: 20181113
Update Code :
20210914
DOI :
10.1007/s11356-017-9371-0
PMID :
28660517
Czasopismo naukowe
Comprehensively evaluating water quality with a single method alone is challenging because water quality evaluation involves complex, uncertain, and fuzzy processes. Moreover, water quality evaluation is limited by finite water quality monitoring that can only represent water quality conditions at certain time points. Thus, the present study proposed a dynamic fuzzy matter-element model (D-FME) to comprehensively and continuously evaluate water quality status. D-FME was first constructed by introducing functional data analysis (FDA) theory into a fuzzy matter-element model and then validated using monthly water quality data for the Poyang Lake outlet (Hukou) from 2011 to 2012. Results showed that the finite water quality indicators were represented as dynamic functional curves despite missing values and irregular sampling time. The water quality rank feature curve was integrated by the D-FME model and revealed comprehensive and continuous variations in water quality. The water quality in Hukou showed remarkable seasonal variations, with the best water quality in summer and worst water quality in winter. These trends were significantly correlated with water level fluctuations (R = -0.71, p < 0.01). Moreover, the extension weight curves of key indicators indicated that total nitrogen and total phosphorus were the most important pollutants that influence the water quality of the Poyang Lake outlet. The proposed D-FME model can obtain scientific and intuitive results. Moreover, the D-FME model is not restricted to water quality evaluation and can be readily applied to other areas with similar problems.

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