Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands

Transporting water to supply livestock is one of the great challenges of the drylands. Ranchers usually make impoundments, filled by runoff, to access freshwater for cattle supply in flat rangelands. The aim of this study was to understand rainfall-runoff generation and water storage temporal dynami...

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Autores principales: Niborski, Marcos Javier, Martin, Osvaldo Antonio, Murray, Francisco, Jobbagy Gampel, Esteban Gabriel, Nosetto, Marcelo Daniel, Paez, Ricardo Andrés, Magliano, Patricio Nicolás
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: MDPI 2023
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/14681
https://www.mdpi.com/2073-4441/15/13/2353
https://doi.org/10.3390/w15132353
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author Niborski, Marcos Javier
Martin, Osvaldo Antonio
Murray, Francisco
Jobbagy Gampel, Esteban Gabriel
Nosetto, Marcelo Daniel
Paez, Ricardo Andrés
Magliano, Patricio Nicolás
author_browse Jobbagy Gampel, Esteban Gabriel
Magliano, Patricio Nicolás
Martin, Osvaldo Antonio
Murray, Francisco
Niborski, Marcos Javier
Nosetto, Marcelo Daniel
Paez, Ricardo Andrés
author_facet Niborski, Marcos Javier
Martin, Osvaldo Antonio
Murray, Francisco
Jobbagy Gampel, Esteban Gabriel
Nosetto, Marcelo Daniel
Paez, Ricardo Andrés
Magliano, Patricio Nicolás
author_sort Niborski, Marcos Javier
collection INTA Digital
description Transporting water to supply livestock is one of the great challenges of the drylands. Ranchers usually make impoundments, filled by runoff, to access freshwater for cattle supply in flat rangelands. The aim of this study was to understand rainfall-runoff generation and water storage temporal dynamics of impoundments in the Dry Chaco rangelands (Argentina). Thus, we instrumented six impoundments over three consecutive years and analyzed water storage data by developing a probabilistic model. For all impoundments, the rainfall event size thresholds to generate runoff presented values between 15 and 33 mm. Once they reached this threshold, the water gain response slopes presented values between 19 and 99 m3 mm−1. Loss patterns of water storage were described by exponential or linear functions. The predicted water storage dynamics presented high accuracy with the observed time series for all impoundments (RMSD between 380 and 1320 m3). The model only needs daily rainfall and air temperature to be run, making it easy to be used by scientists, ranchers, or local decision makers. It may be used to explore the hydrological functioning of small and seasonal water bodies of different sites of the world exposed to drought episodes caused by high climate variability and/or climate change.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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publishDateRange 2023
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spelling INTA146812023-07-03T12:28:23Z Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands Niborski, Marcos Javier Martin, Osvaldo Antonio Murray, Francisco Jobbagy Gampel, Esteban Gabriel Nosetto, Marcelo Daniel Paez, Ricardo Andrés Magliano, Patricio Nicolás Agua de Lluvia Gestión del Agua de Lluvia Almacenamiento de Agua Balance Hídrico Precipitación Atmosférica Rainwater Rain Water Management Water Storage Water Balance Precipitation Región Chaco Arido, Argentina Transporting water to supply livestock is one of the great challenges of the drylands. Ranchers usually make impoundments, filled by runoff, to access freshwater for cattle supply in flat rangelands. The aim of this study was to understand rainfall-runoff generation and water storage temporal dynamics of impoundments in the Dry Chaco rangelands (Argentina). Thus, we instrumented six impoundments over three consecutive years and analyzed water storage data by developing a probabilistic model. For all impoundments, the rainfall event size thresholds to generate runoff presented values between 15 and 33 mm. Once they reached this threshold, the water gain response slopes presented values between 19 and 99 m3 mm−1. Loss patterns of water storage were described by exponential or linear functions. The predicted water storage dynamics presented high accuracy with the observed time series for all impoundments (RMSD between 380 and 1320 m3). The model only needs daily rainfall and air temperature to be run, making it easy to be used by scientists, ranchers, or local decision makers. It may be used to explore the hydrological functioning of small and seasonal water bodies of different sites of the world exposed to drought episodes caused by high climate variability and/or climate change. EEA San Luis Fil: Niborski, Marcos J. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina Fil: Niborski, Marcos J. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina Fil: Niborski, Marcos J. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Manejo y Conservación de Suelos; Argentina Fil: Martin, Osvaldo Antonio. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis; Argentina Fil: Martin, Osvaldo Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática Aplicada de San Luis; Argentina Fil: Murray, Francisco. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis. Agencia De Extensión Rural San Luis; Argentina Fil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina Fil: Jobbagy Gampel, Esteban Gabriel. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Fil: Nosetto, Marcelo D. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina Fil: Nosetto, Marcelo D. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentina Fil: Nosetto, Marcelo D. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias. Cátedra de Climatología; Argentina Fil: Paez, Ricardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina Fil: Paez, Ricardo Andrés. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentina Fil: Magliano, Patricio Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Fil: Magliano, Patricio Nicolás. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentina Fil: Magliano, Patricio N. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Departamento de Biología; Argentina 2023-07-03T12:19:41Z 2023-07-03T12:19:41Z 2023-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/14681 https://www.mdpi.com/2073-4441/15/13/2353 2073-4441 https://doi.org/10.3390/w15132353 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf MDPI Water 15 (13) : 2353. (June 2023)
spellingShingle Agua de Lluvia
Gestión del Agua de Lluvia
Almacenamiento de Agua
Balance Hídrico
Precipitación Atmosférica
Rainwater
Rain Water Management
Water Storage
Water Balance
Precipitation
Región Chaco Arido, Argentina
Niborski, Marcos Javier
Martin, Osvaldo Antonio
Murray, Francisco
Jobbagy Gampel, Esteban Gabriel
Nosetto, Marcelo Daniel
Paez, Ricardo Andrés
Magliano, Patricio Nicolás
Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
title Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
title_full Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
title_fullStr Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
title_full_unstemmed Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
title_short Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
title_sort modeling rainwater harvesting and storage dynamics of rural impoundments in dry chaco rangelands
topic Agua de Lluvia
Gestión del Agua de Lluvia
Almacenamiento de Agua
Balance Hídrico
Precipitación Atmosférica
Rainwater
Rain Water Management
Water Storage
Water Balance
Precipitation
Región Chaco Arido, Argentina
url http://hdl.handle.net/20.500.12123/14681
https://www.mdpi.com/2073-4441/15/13/2353
https://doi.org/10.3390/w15132353
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