Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review

Detalhes bibliográficos
Autor(a) principal: Silva,Fabio Leandro da
Data de Publicação: 2022
Outros Autores: Fushita,Ângela Terumi, Cunha-Santino,Marcela Bianchessi da, Bianchini Júnior,Irineu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2022000200307
Resumo: Abstract Human activities are affecting reservoir water quality; consequently, methods are necessary to verify those impacts. Mathematical modeling improves the understanding of the anthropic impact on water quality, changes in limnological data, and helps formulate management strategies. However, it is necessary to consider the (dis)advantages as well as the methods used for water-quality assessment in reservoirs. This study conducted a systematic review in four databases: (i) PubMed/Medline; (ii) Scopus; (iii) Web of Science; and (iv) Wiley Online Library. We combined Boolean operators and words aiming to identify papers linked to the scope. Rayyan software allowed the initial screening of the found papers. Peer-reviewed papers and the use of mathematical models to assess reservoir water quality were the inclusion criteria. Exclusion criteria included articles in languages other than English, grey literature, and inaccessible articles. Our research found 169 articles, of which 39 were selected and only 13 were included in the review. Mathematical modeling has many benefits related to real-world problems, but the main disadvantages are process simplification, specific rules of the model, and lack of information or data monitoring. Kinetic equations, regression models, Monte Carlo analysis, finite segment models, modeling tools, zero-order rate equations, partial differential algebraic equations, and predictive analysis are the methods observed in mathematical modeling. This review provides information for unfamiliar managers who intend to use mathematical models to assess the water quality of reservoirs.
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spelling Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic reviewlimnologic toolmodel inventorywater managementAbstract Human activities are affecting reservoir water quality; consequently, methods are necessary to verify those impacts. Mathematical modeling improves the understanding of the anthropic impact on water quality, changes in limnological data, and helps formulate management strategies. However, it is necessary to consider the (dis)advantages as well as the methods used for water-quality assessment in reservoirs. This study conducted a systematic review in four databases: (i) PubMed/Medline; (ii) Scopus; (iii) Web of Science; and (iv) Wiley Online Library. We combined Boolean operators and words aiming to identify papers linked to the scope. Rayyan software allowed the initial screening of the found papers. Peer-reviewed papers and the use of mathematical models to assess reservoir water quality were the inclusion criteria. Exclusion criteria included articles in languages other than English, grey literature, and inaccessible articles. Our research found 169 articles, of which 39 were selected and only 13 were included in the review. Mathematical modeling has many benefits related to real-world problems, but the main disadvantages are process simplification, specific rules of the model, and lack of information or data monitoring. Kinetic equations, regression models, Monte Carlo analysis, finite segment models, modeling tools, zero-order rate equations, partial differential algebraic equations, and predictive analysis are the methods observed in mathematical modeling. This review provides information for unfamiliar managers who intend to use mathematical models to assess the water quality of reservoirs.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2022000200307Revista Ambiente & Água v.17 n.2 2022reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2804info:eu-repo/semantics/openAccessSilva,Fabio Leandro daFushita,Ângela TerumiCunha-Santino,Marcela Bianchessi daBianchini Júnior,Irineueng2022-04-29T00:00:00Zoai:scielo:S1980-993X2022000200307Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2022-04-29T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
title Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
spellingShingle Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
Silva,Fabio Leandro da
limnologic tool
model inventory
water management
title_short Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
title_full Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
title_fullStr Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
title_full_unstemmed Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
title_sort Advantages, disadvantages and methods of applying mathematical models to evaluate water quality in reservoirs: a systematic review
author Silva,Fabio Leandro da
author_facet Silva,Fabio Leandro da
Fushita,Ângela Terumi
Cunha-Santino,Marcela Bianchessi da
Bianchini Júnior,Irineu
author_role author
author2 Fushita,Ângela Terumi
Cunha-Santino,Marcela Bianchessi da
Bianchini Júnior,Irineu
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva,Fabio Leandro da
Fushita,Ângela Terumi
Cunha-Santino,Marcela Bianchessi da
Bianchini Júnior,Irineu
dc.subject.por.fl_str_mv limnologic tool
model inventory
water management
topic limnologic tool
model inventory
water management
description Abstract Human activities are affecting reservoir water quality; consequently, methods are necessary to verify those impacts. Mathematical modeling improves the understanding of the anthropic impact on water quality, changes in limnological data, and helps formulate management strategies. However, it is necessary to consider the (dis)advantages as well as the methods used for water-quality assessment in reservoirs. This study conducted a systematic review in four databases: (i) PubMed/Medline; (ii) Scopus; (iii) Web of Science; and (iv) Wiley Online Library. We combined Boolean operators and words aiming to identify papers linked to the scope. Rayyan software allowed the initial screening of the found papers. Peer-reviewed papers and the use of mathematical models to assess reservoir water quality were the inclusion criteria. Exclusion criteria included articles in languages other than English, grey literature, and inaccessible articles. Our research found 169 articles, of which 39 were selected and only 13 were included in the review. Mathematical modeling has many benefits related to real-world problems, but the main disadvantages are process simplification, specific rules of the model, and lack of information or data monitoring. Kinetic equations, regression models, Monte Carlo analysis, finite segment models, modeling tools, zero-order rate equations, partial differential algebraic equations, and predictive analysis are the methods observed in mathematical modeling. This review provides information for unfamiliar managers who intend to use mathematical models to assess the water quality of reservoirs.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.4136/ambi-agua.2804
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dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.17 n.2 2022
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repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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