Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin-Reference-Cited by-同舟云学术

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

Published:2023-11-17 Issue:12 Volume:72 Page:2262-2276
ISSN:2709-8028
Container-title:AQUA — Water Infrastructure, Ecosystems and Society
language:en
Short-container-title:

Author:

Olortegui Artica Christiand¹^ORCID,Paredes Arquiola Javier²^ORCID,Ramos Fernández Lia¹^ORCID,Cruz Grimaldo Camila Leandra³^ORCID,Salazar Coronel Wilian⁴^ORCID,Flores del Pino Lisveth⁵^ORCID

Affiliation:

1. a Department of Water Resources, Agraria La Molina National University, 15024 Lima, Perú

2. b Environmental Water Engineering Research Institute (IIAMA), Universitat Politècnica de València, 46022 Valencia, España

3. c Division of Agrarian Technological Development, National Institute for Agrarian Innovation (INIA), Av. La Molina, 1981 Lima, Perú

4. d Directorate of Supervision and Monitoring in Agricultural Experimental Stations, National Institute for Agrarian Innovation (INIA), Av. La Molina, 1981 Lima, Perú

5. e Center for Environmental Research in Chemistry, Toxicology and Biotechnology, Agraria La Molina National University, 15024 Lima, Perú

Abstract

Abstract 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.

Funder

Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Ecology,Civil and Structural Engineering,Environmental Engineering

Link

https://iwaponline.com/aqua/article-pdf/72/12/2262/1343744/jws0722262.pdf

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