Increased chlorophyll-a concentration in Barra Bonita reservoir during extreme drought periods

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorDF-
Autor(es): dc.contributorNanyang Technological University-
Autor(es): dc.contributorLeibniz-Institute of Freshwater Ecology and Inland Fisheries-
Autor(es): dc.contributorNational Center for Monitoring and Early Warning of Natural Disasters (Cemaden)-
Autor(es): dc.creatorJang, Matheus Tae Geun-
Autor(es): dc.creatorAlcântara, Enner-
Autor(es): dc.creatorRodrigues, Thanan-
Autor(es): dc.creatorPark, Edward-
Autor(es): dc.creatorOgashawara, Igor-
Autor(es): dc.creatorMarengo, José A-
Data de aceite: dc.date.accessioned2025-08-21T22:47:28Z-
Data de disponibilização: dc.date.available2025-08-21T22:47:28Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2022-10-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.scitotenv.2022.157106-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/240737-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/240737-
Descrição: dc.descriptionClimate projections models indicate that longer periods of droughts are expected within the next 100 years in various parts of South America. To understand the effects of longer periods of droughts on aquatic environments, we investigated the response of chlorophyll-a (Chl-a) concentration to recent severe drought events in the Barra Bonita Hydroelectric Reservoir (BBHR) in São Paulo State, Brazil. We used satellite imagery to estimate the Chl-a concentration from 2014 to 2020 using the Slope Index (NRMSE of 18.92% and bias of -0.20 mg m-3). Ancillary data such as precipitation, water level and air temperature from the same period were also used. Drought events were identified using the standardized precipitation index (SPI). In addition, we computed the probability of future drought events. Two periods showed extremely dry conditions: 1) January-February (2014) and 2) April-May (2020). Both periods were characterized by a recurrence probability of 1in every 50 years. The highest correlation was observed between Chl-a concentration and SPI (-0.97) in 2014, while Chl-a had had the highest correlation with water level (-0.59) in 2020. These results provide new insights into the influence of extreme drought events on the Chl-a concentration in the BBHR and their relationship with other climate variables and reservoir water levels. Drought events imply less rainfall, higher temperatures, and atmospheric dryness, and these factors affect evaporation and the water levels in the reservoir.-
Descrição: dc.descriptionInstitute of Science and Technology São Paulo State University-
Descrição: dc.descriptionFederal Institute of Education Science and Technology of Brasília DF-
Descrição: dc.descriptionNational Institute of Education and Earth Observatory of Singapore Nanyang Technological University-
Descrição: dc.descriptionLeibniz-Institute of Freshwater Ecology and Inland Fisheries-
Descrição: dc.descriptionNational Center for Monitoring and Early Warning of Natural Disasters (Cemaden)-
Descrição: dc.descriptionInstitute of Science and Technology São Paulo State University-
Formato: dc.format157106-
Idioma: dc.languageen-
Relação: dc.relationThe Science of the total environment-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAlgae bloom-
Palavras-chave: dc.subjectExtreme events-
Palavras-chave: dc.subjectInland waters body-
Palavras-chave: dc.subjectRemote sensing-
Título: dc.titleIncreased chlorophyll-a concentration in Barra Bonita reservoir during extreme drought periods-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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