Fuzzy Logic Model To Estimate Seasonal Pseudo Steady State Chlorophyll-A Concentrations in Reservoirs

dc.authorid Chen, Ding-Geng/0000-0002-3199-8665
dc.authorscopusid 7004369411
dc.authorscopusid 55536267800
dc.authorwosid Soyupak, Selçuk/A-9965-2008
dc.contributor.author Soyupak, S
dc.contributor.author Chen, DG
dc.date.accessioned 2024-07-05T15:08:46Z
dc.date.available 2024-07-05T15:08:46Z
dc.date.issued 2004
dc.department Atılım University en_US
dc.department-temp Atilim Univ, Dept Civil Engn, TR-06836 Ankara, Turkey en_US
dc.description Chen, Ding-Geng/0000-0002-3199-8665 en_US
dc.description.abstract A fuzzy logic model is developed to estimate pseudo steady state chlorophyll-a concentrations in a very large and deep dam reservoir, namely Keban Dam Reservoir, which is also highly spatial and temporal variable. The estimation power of the developed fuzzy logic model was tested by comparing its performance with that from the classical multiple regression model. The data include chlorophyll-a concentrations in Keban lake as a response variable, as well as several water quality variables such as PO4 phosphorus, NO3 nitrogen, alkalinity, suspended solids concentration, pH, water temperature, electrical conductivity, dissolved oxygen concentration and Secchi depth as independent environmental variables. Because of the complex nature of the studied water body, as well as non-significant functional relationships among the water quality variables to the chlorophyll-a concentration, an initial analysis is conducted to select the most important variables that can be used in estimating the chlorophyll-a concentrations within the studied water body. Following the outcomes from this initial analysis, the fuzzy logic model is developed to estimate the chlorophyll-a concentrations and the advantages of this new model is demonstrated in model fitting over the traditional multiple regression method. en_US
dc.identifier.citationcount 16
dc.identifier.doi 10.1023/B:ENMO.0000020890.57185.92
dc.identifier.endpage 59 en_US
dc.identifier.issn 1420-2026
dc.identifier.issn 1573-2967
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-3542995160
dc.identifier.scopusquality Q2
dc.identifier.startpage 51 en_US
dc.identifier.uri https://doi.org/10.1023/B:ENMO.0000020890.57185.92
dc.identifier.uri https://hdl.handle.net/20.500.14411/1101
dc.identifier.volume 9 en_US
dc.identifier.wos WOS:000220396600006
dc.identifier.wosquality Q3
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 14
dc.subject fuzzy membership function en_US
dc.subject fuzzy rules en_US
dc.subject multiple linear regression en_US
dc.subject dam reservoir management en_US
dc.subject eutrophication en_US
dc.title Fuzzy Logic Model To Estimate Seasonal Pseudo Steady State Chlorophyll-A Concentrations in Reservoirs en_US
dc.type Article en_US
dc.wos.citedbyCount 14
dspace.entity.type Publication

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