2019
DOI: 10.24850/j-tyca-2019-01-08
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Dynamic modelling of the climate change impact in the Conchos River basin water management

Abstract: In the last decades there have been some deficits in water deliveries that Mexico must make to the United States under the Water Treaty between the two countries. Population growth and the effects of climate change make possible foresee that the difficulties will increase in the future. This text analyzes the observed changes in rainfall in the basin, and a dynamic model is developed to estimate the effects of climate change on the water balance of the Conchos river basin, which contributes 87% of the amount o… Show more

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Cited by 4 publications
(3 citation statements)
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“…Hence, dynamic models are used to represent dynamic variable interdependencies within a water-related system, since it is an appropriate methodology for modeling complex systems that can accurately predict actual water availability and easily evidence resource management improvements within the basin (Nandalal & Semasinghe 2006;Walton et al 2009). As a matter of fact, dynamic systems have already been used around the world in different contexts, such as for flood control, to regulate irrigation within a region, for urban water management, in aquifers and, particularly, their implementation has been widely studied at the basin scale (Mirchi et al 2012;Ryu et al 2012;Martínez et al 2019).…”
Section: Resultsmentioning
confidence: 99%
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“…Hence, dynamic models are used to represent dynamic variable interdependencies within a water-related system, since it is an appropriate methodology for modeling complex systems that can accurately predict actual water availability and easily evidence resource management improvements within the basin (Nandalal & Semasinghe 2006;Walton et al 2009). As a matter of fact, dynamic systems have already been used around the world in different contexts, such as for flood control, to regulate irrigation within a region, for urban water management, in aquifers and, particularly, their implementation has been widely studied at the basin scale (Mirchi et al 2012;Ryu et al 2012;Martínez et al 2019).…”
Section: Resultsmentioning
confidence: 99%
“…The most frequently used validation techniques are model replication, sensitivity analysis, verification based on previous data, validation from system experts, unit consistency, and subsystem evaluations, among others (Guo et al 2001;Ahmad & Simonovic 2004;Mirchi et al 2012;Martínez et al 2019).…”
Section: Model Validationmentioning
confidence: 99%
“…O pen A ccess bajo la lic encia CC BY -NC-SA 4 .0 (https ://c reativecommons.org/licenses/by -nc-sa/4.0/) 338 Tecnología y ciencias del agua, ISSN 2007ISSN -2422(1), 333-390. DOI: 10.24850/j-tyca-14-01-08 cuencas y mediante la modelación de estas variables (Hakala, Addor, & Seibert, 2018;Machekposhti, Sedghi, Telvari, & Babazadeh, 2018;Peña-Díaz, 2019;Martínez-Austria, Vargas Hidalgo, & Patiño-Gómez, 2019;Velázquez-Zapata & Troin, 2020). De la misma forma, existen algunos trabajos de estimación empírica para cuencas en el estado de BCS (Cruz-Falcón et al, 2013;Antonio, Martínez, Brandebourger, Mora, & Mahlknecht, 2017).…”
Section: Introductionunclassified