Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin

Water scarcity and the planning of socioeconomic activities are challenges in the management of water resources. Therefore, the objective of this study was to use reliability indicators (RI) to simulate management scenarios in the Lurin River Basin. First, flow rates for the period 1969–2019 were ca...

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Autores principales: Olortegui Artica, Christiand, Paredes Arquiola, Javier, Ramos Fernández, Lia, Cruz Grimaldo, Camila Leandra, Salazar Coronel, Wilian, Flores del Pino, Lisveth
Formato: info:eu-repo/semantics/article
Lenguaje:Inglés
Publicado: IWA Publishing 2024
Materias:
Acceso en línea:https://hdl.handle.net/20.500.12955/2421
http://dx.doi.org/10.2166/aqua.2023.133
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author Olortegui Artica, Christiand
Paredes Arquiola, Javier
Ramos Fernández, Lia
Cruz Grimaldo, Camila Leandra
Salazar Coronel, Wilian
Flores del Pino, Lisveth
author_browse Cruz Grimaldo, Camila Leandra
Flores del Pino, Lisveth
Olortegui Artica, Christiand
Paredes Arquiola, Javier
Ramos Fernández, Lia
Salazar Coronel, Wilian
author_facet Olortegui Artica, Christiand
Paredes Arquiola, Javier
Ramos Fernández, Lia
Cruz Grimaldo, Camila Leandra
Salazar Coronel, Wilian
Flores del Pino, Lisveth
author_sort Olortegui Artica, Christiand
collection Repositorio INIA
description Water scarcity and the planning of socioeconomic activities are challenges in the management of water resources. Therefore, the objective of this study was to use reliability indicators (RI) to simulate management scenarios in the Lurin River Basin. First, flow rates for the period 1969–2019 were calculated using the EvalHid HBV hydrological model and SIMGES, both from the AQUATOOL decision support system, to simulate demands. The estimation of agricultural demand IRs was made under three conditions: that the deficits for one, two, and 10 years should not exceed 20–40, 40–60, and 80–100% of the annual demand. The goodness-of-fit indices obtained for flow calibration were 0.716, 0.89, and 0.901 for Nash index (NSE), Nash natural logarithm (Ln NSE), and Pearson's correlation coefficient (R), representing the values of satisfactory, very good, and good, respectively. Agricultural demands present annual deficits of 59–96, 92–138, and 333–688% for one, two, and 10 years, so a 50 m3 reservoir is proposed to meet the IR. Thus, the information generated could be used to improve water resource management in the Lurin Basin.
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spelling INIA24212024-01-24T21:37:35Z Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin Olortegui Artica, Christiand Paredes Arquiola, Javier Ramos Fernández, Lia Cruz Grimaldo, Camila Leandra Salazar Coronel, Wilian Flores del Pino, Lisveth AQUATOOL Lurín Management model Reliability indicator System https://purl.org/pe-repo/ocde/ford#4.05.00 Water supply Abastecimiento de agua Performance index Índice de rendimiento Water scarcity and the planning of socioeconomic activities are challenges in the management of water resources. Therefore, the objective of this study was to use reliability indicators (RI) to simulate management scenarios in the Lurin River Basin. First, flow rates for the period 1969–2019 were calculated using the EvalHid HBV hydrological model and SIMGES, both from the AQUATOOL decision support system, to simulate demands. The estimation of agricultural demand IRs was made under three conditions: that the deficits for one, two, and 10 years should not exceed 20–40, 40–60, and 80–100% of the annual demand. The goodness-of-fit indices obtained for flow calibration were 0.716, 0.89, and 0.901 for Nash index (NSE), Nash natural logarithm (Ln NSE), and Pearson's correlation coefficient (R), representing the values of satisfactory, very good, and good, respectively. Agricultural demands present annual deficits of 59–96, 92–138, and 333–688% for one, two, and 10 years, so a 50 m3 reservoir is proposed to meet the IR. Thus, the information generated could be used to improve water resource management in the Lurin Basin. 2024-01-24T21:37:34Z 2024-01-24T21:37:34Z 2023-11-17 info:eu-repo/semantics/article Olortegui, C.; Paredes, J.; Ramos, L.; Cruz, C. L.; Salazar, W.; & Flores, L. (2023). Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin. AQUA—Water Infrastructure, Ecosystems and Society, 72(12), 2262-2276. doi: 10.2166/aqua.2023.133 2709-8036 https://hdl.handle.net/20.500.12955/2421 http://dx.doi.org/10.2166/aqua.2023.133 eng urn:issn:2709-8036 Aqua - Water Infrastructure, Ecosystems and Society info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf IWA Publishing GB Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
spellingShingle AQUATOOL
Lurín
Management model
Reliability indicator
System
https://purl.org/pe-repo/ocde/ford#4.05.00
Water supply
Abastecimiento de agua
Performance index
Índice de rendimiento
Olortegui Artica, Christiand
Paredes Arquiola, Javier
Ramos Fernández, Lia
Cruz Grimaldo, Camila Leandra
Salazar Coronel, Wilian
Flores del Pino, Lisveth
Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
title Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
title_full Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
title_fullStr Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
title_full_unstemmed Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
title_short Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
title_sort performance indicators to characterize the water supply to meet the demands of the lurin river basin
topic AQUATOOL
Lurín
Management model
Reliability indicator
System
https://purl.org/pe-repo/ocde/ford#4.05.00
Water supply
Abastecimiento de agua
Performance index
Índice de rendimiento
url https://hdl.handle.net/20.500.12955/2421
http://dx.doi.org/10.2166/aqua.2023.133
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