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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
15/12/2023 |
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Data da última atualização: |
19/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
RODRIGUES, A. L.; RODRIGUES, L. N.; MARQUES, G. F.; VILLA, P. M. |
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Afiliação: |
ALISSON LOPES RODRIGUES, Universidade Federal de Viçosa; LINEU NEIVA RODRIGUES, CPAC; GUILHERME FERNANDES MARQUES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; PEDRO MANUEL VILLA, Universidade de Feira de Santana. |
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Título: |
Simulation model to assess the water dynamics in small reservoirs. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Water Resources Management, v. 37, n. 5, p. 2019-2038, 2023. |
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DOI: |
https://doi.org/10.1007/s11269-023-03468-2 |
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Idioma: |
Inglês |
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Conteúdo: |
Small reservoirs play a key role in agricultural development in the Brazilian Savannah (Cerrado) region. They contribute to diminishing rural communities’ vulnerability to drought and improve the livelihood of rural populations. Thousands of small reservoirs have been built in the last few decades in the Cerrado biome; however, efcient water man‐ agement and sound planning are hindered by inadequate knowledge of their water dynamics. The main objective of this study was to develop a dynamic simulation model (SD) to assess the small reservoir (SR) water dynamics in the Brazilian Cerrado region. Daily data on reservoir infows were obtained for the period from October 2009 to September 2011, and extended to June 2015 through modeling. The developed model was calibrated and validated with historical data. Sensitivity analysis was applied to assess the main variables that infuence the SR water dynamics. The results indicated that reservoir infow was the variable that had the highest impact on SR water volume, followed by the reservoir surface area and by evaporation and infltration, which together represented 14.4% of reservoir infow. Approximately 81.9% of the SR stored water was available to attend to the water demand. The related research fndings of this study could be favorable for guiding the reservoir’s construction (optimal size) and management of irrigation and human demand by evaluating diferent variables and fuxes. This study adopts basic approaches and equations to determine the relationships between variables with observed values and estimated fuxes in a small reservoir, which can be useful to simulate reservoir dynamics, adjust the initial values, or alternatively, simulate climate change scenarios. MenosSmall reservoirs play a key role in agricultural development in the Brazilian Savannah (Cerrado) region. They contribute to diminishing rural communities’ vulnerability to drought and improve the livelihood of rural populations. Thousands of small reservoirs have been built in the last few decades in the Cerrado biome; however, efcient water man‐ agement and sound planning are hindered by inadequate knowledge of their water dynamics. The main objective of this study was to develop a dynamic simulation model (SD) to assess the small reservoir (SR) water dynamics in the Brazilian Cerrado region. Daily data on reservoir infows were obtained for the period from October 2009 to September 2011, and extended to June 2015 through modeling. The developed model was calibrated and validated with historical data. Sensitivity analysis was applied to assess the main variables that infuence the SR water dynamics. The results indicated that reservoir infow was the variable that had the highest impact on SR water volume, followed by the reservoir surface area and by evaporation and infltration, which together represented 14.4% of reservoir infow. Approximately 81.9% of the SR stored water was available to attend to the water demand. The related research fndings of this study could be favorable for guiding the reservoir’s construction (optimal size) and management of irrigation and human demand by evaluating diferent variables and fuxes. This study adopts basic approaches and equations to det... Mostrar Tudo |
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Thesagro: |
Tratamento da Água. |
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Thesaurus NAL: |
Sustainable agriculture; Water resources. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02383naa a2200205 a 4500
001 2159805
005 2023-12-19
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11269-023-03468-2$2DOI
100 1 $aRODRIGUES, A. L.
245 $aSimulation model to assess the water dynamics in small reservoirs.$h[electronic resource]
260 $c2023
520 $aSmall reservoirs play a key role in agricultural development in the Brazilian Savannah (Cerrado) region. They contribute to diminishing rural communities’ vulnerability to drought and improve the livelihood of rural populations. Thousands of small reservoirs have been built in the last few decades in the Cerrado biome; however, efcient water man‐ agement and sound planning are hindered by inadequate knowledge of their water dynamics. The main objective of this study was to develop a dynamic simulation model (SD) to assess the small reservoir (SR) water dynamics in the Brazilian Cerrado region. Daily data on reservoir infows were obtained for the period from October 2009 to September 2011, and extended to June 2015 through modeling. The developed model was calibrated and validated with historical data. Sensitivity analysis was applied to assess the main variables that infuence the SR water dynamics. The results indicated that reservoir infow was the variable that had the highest impact on SR water volume, followed by the reservoir surface area and by evaporation and infltration, which together represented 14.4% of reservoir infow. Approximately 81.9% of the SR stored water was available to attend to the water demand. The related research fndings of this study could be favorable for guiding the reservoir’s construction (optimal size) and management of irrigation and human demand by evaluating diferent variables and fuxes. This study adopts basic approaches and equations to determine the relationships between variables with observed values and estimated fuxes in a small reservoir, which can be useful to simulate reservoir dynamics, adjust the initial values, or alternatively, simulate climate change scenarios.
650 $aSustainable agriculture
650 $aWater resources
650 $aTratamento da Água
700 1 $aRODRIGUES, L. N.
700 1 $aMARQUES, G. F.
700 1 $aVILLA, P. M.
773 $tWater Resources Management$gv. 37, n. 5, p. 2019-2038, 2023.
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