The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing
Groundwater, which is widely used in arid regions due to scarcity of surface sources, has excellent quality and, under certain conditions, can be consumed directly. Human activities have caused climate change, leading to decreased precipitation and increased temperatures, which reduces water recharg...
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MDPI AG
2024-12-01
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| author | María López-Cuevas Anuard Pacheco-Guerrero Edith Olmos-Trujillo Juan Ernesto Ramírez-Juárez Anuar Badillo-Olvera Claudia Ávila-Sandoval Hiram Badillo-Almaraz |
| author_facet | María López-Cuevas Anuard Pacheco-Guerrero Edith Olmos-Trujillo Juan Ernesto Ramírez-Juárez Anuar Badillo-Olvera Claudia Ávila-Sandoval Hiram Badillo-Almaraz |
| author_sort | María López-Cuevas |
| collection | DOAJ |
| description | Groundwater, which is widely used in arid regions due to scarcity of surface sources, has excellent quality and, under certain conditions, can be consumed directly. Human activities have caused climate change, leading to decreased precipitation and increased temperatures, which reduces water recharge and increases underground extraction volume. To estimate the natural recharge of the Chupaderos aquifer, located in the State of Zacatecas, México, a spatiotemporal analysis methodology was used, using a soil moisture balance, which includes satellite information on precipitation and temperature, to obtain infiltration, evapotranspiration, and moisture. Using a Geographic Information System (GIS), a distributed spatial model was created in which the potential recharge areas that can be defined by raster images. The results show that there is a maximum annual recharge of 137 mm in the soil where Fluvisol and Kastanozem predominate, an indicator of a texture of sandy soil and franco-sandy area, which is mainly covered by forest and scrub. This result confirms that these characteristics are indispensable for the use of water in soil. Therefore, the preservation of the ecosystem is essential for aquifer recharge. |
| format | Article |
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| institution | DOAJ |
| issn | 2306-5338 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Hydrology |
| spelling | doaj-art-528db3cd1a16489bba8d2fb31b3577d02025-08-20T02:55:57ZengMDPI AGHydrology2306-53382024-12-01111221810.3390/hydrology11120218The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote SensingMaría López-Cuevas0Anuard Pacheco-Guerrero1Edith Olmos-Trujillo2Juan Ernesto Ramírez-Juárez3Anuar Badillo-Olvera4Claudia Ávila-Sandoval5Hiram Badillo-Almaraz6Maestría en Ingeniería Aplicada con Orientación en Recursos Hidráulicos, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoMaestría en Ingeniería Aplicada con Orientación en Recursos Hidráulicos, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoMaestría en Ingeniería Aplicada con Orientación en Recursos Hidráulicos, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoMaestría en Ingeniería Aplicada con Orientación en Recursos Hidráulicos, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoMaestría en Ingeniería Aplicada con Orientación en Recursos Hidráulicos, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoMaestría en Ingeniería Aplicada con Orientación en Recursos Hidráulicos, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoPrograma de Ingeniería Civil, Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas “Francisco García Salinas”, Av. Ramón López Velarde s/n, Zacatecas 98000, Zacatecas, MexicoGroundwater, which is widely used in arid regions due to scarcity of surface sources, has excellent quality and, under certain conditions, can be consumed directly. Human activities have caused climate change, leading to decreased precipitation and increased temperatures, which reduces water recharge and increases underground extraction volume. To estimate the natural recharge of the Chupaderos aquifer, located in the State of Zacatecas, México, a spatiotemporal analysis methodology was used, using a soil moisture balance, which includes satellite information on precipitation and temperature, to obtain infiltration, evapotranspiration, and moisture. Using a Geographic Information System (GIS), a distributed spatial model was created in which the potential recharge areas that can be defined by raster images. The results show that there is a maximum annual recharge of 137 mm in the soil where Fluvisol and Kastanozem predominate, an indicator of a texture of sandy soil and franco-sandy area, which is mainly covered by forest and scrub. This result confirms that these characteristics are indispensable for the use of water in soil. Therefore, the preservation of the ecosystem is essential for aquifer recharge.https://www.mdpi.com/2306-5338/11/12/218natural rechargeremote sensingsoil moistureaquifergroundwater |
| spellingShingle | María López-Cuevas Anuard Pacheco-Guerrero Edith Olmos-Trujillo Juan Ernesto Ramírez-Juárez Anuar Badillo-Olvera Claudia Ávila-Sandoval Hiram Badillo-Almaraz The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing Hydrology natural recharge remote sensing soil moisture aquifer groundwater |
| title | The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing |
| title_full | The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing |
| title_fullStr | The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing |
| title_full_unstemmed | The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing |
| title_short | The Spatiotemporal Estimation of the Chupaderos Aquifer Groundwater Recharge for 2020 Based on the Soil Moisture Approach and Remote Sensing |
| title_sort | spatiotemporal estimation of the chupaderos aquifer groundwater recharge for 2020 based on the soil moisture approach and remote sensing |
| topic | natural recharge remote sensing soil moisture aquifer groundwater |
| url | https://www.mdpi.com/2306-5338/11/12/218 |
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