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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| Veröffentlicht in: | Water (Basel) 2023-07, Vol.15 (13), p.2353 |
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| creator | Niborski, Marcos Javier Martin, Osvaldo Antonio Murray, Francisco Jobbágy, Esteban Gabriel Nosetto, Marcelo Daniel Paez, Ricardo Andrés Magliano, Patricio Nicolás |
| 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. |
| doi_str_mv | 10.3390/w15132353 |
| format | Article |
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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.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w15132353</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air temperature ; Analysis ; Argentina ; arid lands ; Arid zones ; Atmospheric pressure ; Beef cattle ; Cattle ; climate ; Climate change ; Climate variability ; Drought ; Droughts ; Forests ; freshwater ; Global temperature changes ; Hydrology ; Linear functions ; Livestock ; probabilistic models ; Rain ; Rain and rainfall ; Rain water ; Rain-water (Water-supply) ; Rainfall ; Rainfall-runoff relationships ; Range ecology ; Rangelands ; runoff ; Seasons ; Sensors ; temporal variation ; time series analysis ; United Kingdom ; Water harvesting ; Water shortages ; Water storage</subject><ispartof>Water (Basel), 2023-07, Vol.15 (13), p.2353</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-db79f72b1129d0e1295e9ee00dee1f6c8489b989faab9b097ac0ffc02c91b7133</citedby><cites>FETCH-LOGICAL-c364t-db79f72b1129d0e1295e9ee00dee1f6c8489b989faab9b097ac0ffc02c91b7133</cites><orcidid>0000-0001-7086-1437 ; 0000-0001-7419-8978</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Niborski, Marcos Javier</creatorcontrib><creatorcontrib>Martin, Osvaldo Antonio</creatorcontrib><creatorcontrib>Murray, Francisco</creatorcontrib><creatorcontrib>Jobbágy, Esteban Gabriel</creatorcontrib><creatorcontrib>Nosetto, Marcelo Daniel</creatorcontrib><creatorcontrib>Paez, Ricardo Andrés</creatorcontrib><creatorcontrib>Magliano, Patricio Nicolás</creatorcontrib><title>Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands</title><title>Water (Basel)</title><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.</description><subject>Air temperature</subject><subject>Analysis</subject><subject>Argentina</subject><subject>arid lands</subject><subject>Arid zones</subject><subject>Atmospheric pressure</subject><subject>Beef cattle</subject><subject>Cattle</subject><subject>climate</subject><subject>Climate change</subject><subject>Climate variability</subject><subject>Drought</subject><subject>Droughts</subject><subject>Forests</subject><subject>freshwater</subject><subject>Global temperature changes</subject><subject>Hydrology</subject><subject>Linear functions</subject><subject>Livestock</subject><subject>probabilistic models</subject><subject>Rain</subject><subject>Rain and rainfall</subject><subject>Rain water</subject><subject>Rain-water (Water-supply)</subject><subject>Rainfall</subject><subject>Rainfall-runoff relationships</subject><subject>Range ecology</subject><subject>Rangelands</subject><subject>runoff</subject><subject>Seasons</subject><subject>Sensors</subject><subject>temporal variation</subject><subject>time series analysis</subject><subject>United Kingdom</subject><subject>Water harvesting</subject><subject>Water shortages</subject><subject>Water storage</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdUVFLwzAQLqLg0D34DwK-6ENn0qRN8zg2dYOJMPW5pumldrTJTFrH_r0ZExHv4O44vu_j4y6KrgieUCrw3Y6khCY0pSfRKMGcxowxcvpnPo_G3m9wCCbyPMWj6P3JVtA2pkZr2Zid7MGhhXRf4PvDUpoKvfTWyRrQfG9k1yiPrEbrwckWLbutHUzVgek9agyauz2afUhlg5ipoQ1sfxmdadl6GP_0i-jt4f51tohXz4_L2XQVK5qxPq5KLjRPSkISUWEINQUBgHEFQHSmcpaLUuRCS1mKEgsuFdZa4UQJUnJC6UV0c9TdOvs5BPtF13gFbTABdvAFJSklWUY4D9Drf9CNHZwJ7ookD26ShLCD4OSIqmULRWO07Z1UISsIV7AGdBP2U57mnDLM0kC4PRKUs9470MXWNZ10-4Lg4vCf4vc_9BuY9IFC</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Niborski, Marcos Javier</creator><creator>Martin, Osvaldo Antonio</creator><creator>Murray, Francisco</creator><creator>Jobbágy, Esteban Gabriel</creator><creator>Nosetto, Marcelo Daniel</creator><creator>Paez, Ricardo Andrés</creator><creator>Magliano, Patricio Nicolás</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-7086-1437</orcidid><orcidid>https://orcid.org/0000-0001-7419-8978</orcidid></search><sort><creationdate>20230701</creationdate><title>Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands</title><author>Niborski, Marcos Javier ; Martin, Osvaldo Antonio ; Murray, Francisco ; Jobbágy, Esteban Gabriel ; Nosetto, Marcelo Daniel ; Paez, Ricardo Andrés ; Magliano, Patricio Nicolás</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-db79f72b1129d0e1295e9ee00dee1f6c8489b989faab9b097ac0ffc02c91b7133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air temperature</topic><topic>Analysis</topic><topic>Argentina</topic><topic>arid lands</topic><topic>Arid zones</topic><topic>Atmospheric pressure</topic><topic>Beef cattle</topic><topic>Cattle</topic><topic>climate</topic><topic>Climate change</topic><topic>Climate variability</topic><topic>Drought</topic><topic>Droughts</topic><topic>Forests</topic><topic>freshwater</topic><topic>Global temperature changes</topic><topic>Hydrology</topic><topic>Linear functions</topic><topic>Livestock</topic><topic>probabilistic models</topic><topic>Rain</topic><topic>Rain and rainfall</topic><topic>Rain water</topic><topic>Rain-water (Water-supply)</topic><topic>Rainfall</topic><topic>Rainfall-runoff relationships</topic><topic>Range ecology</topic><topic>Rangelands</topic><topic>runoff</topic><topic>Seasons</topic><topic>Sensors</topic><topic>temporal variation</topic><topic>time series analysis</topic><topic>United Kingdom</topic><topic>Water harvesting</topic><topic>Water shortages</topic><topic>Water storage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Niborski, Marcos Javier</creatorcontrib><creatorcontrib>Martin, Osvaldo Antonio</creatorcontrib><creatorcontrib>Murray, Francisco</creatorcontrib><creatorcontrib>Jobbágy, Esteban Gabriel</creatorcontrib><creatorcontrib>Nosetto, Marcelo Daniel</creatorcontrib><creatorcontrib>Paez, Ricardo Andrés</creatorcontrib><creatorcontrib>Magliano, Patricio Nicolás</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Niborski, Marcos Javier</au><au>Martin, Osvaldo Antonio</au><au>Murray, Francisco</au><au>Jobbágy, Esteban Gabriel</au><au>Nosetto, Marcelo Daniel</au><au>Paez, Ricardo Andrés</au><au>Magliano, Patricio Nicolás</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands</atitle><jtitle>Water (Basel)</jtitle><date>2023-07-01</date><risdate>2023</risdate><volume>15</volume><issue>13</issue><spage>2353</spage><pages>2353-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w15132353</doi><orcidid>https://orcid.org/0000-0001-7086-1437</orcidid><orcidid>https://orcid.org/0000-0001-7419-8978</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Air temperature Analysis Argentina arid lands Arid zones Atmospheric pressure Beef cattle Cattle climate Climate change Climate variability Drought Droughts Forests freshwater Global temperature changes Hydrology Linear functions Livestock probabilistic models Rain Rain and rainfall Rain water Rain-water (Water-supply) Rainfall Rainfall-runoff relationships Range ecology Rangelands runoff Seasons Sensors temporal variation time series analysis United Kingdom Water harvesting Water shortages Water storage |
| title | Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands |
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