IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 32nd Congress - Venice (2007) : THEME B: Data Acquisition and Processing For Scientific Knowledge and Public Awareness. : Spatial dynamics of aquifer recharge in the basin of mexico
Spatial dynamics of aquifer recharge in the basin of mexico
Author : Jaime J. Carrera-Hernandez , Susan J. Gaskin
The estimation of spatial aquifer recharge is a data intensive and uncertain task. However its estimation is required in order to properly manage groundwater resources, in particular in areas which rely heavily on groundwater as their main water supply. The spatial distribution of aquiferrecharge is also required when numerical groundwater flow models are developed. Some of the methodologies available to estimate aquifer recharge require data that are generally not available in large scale studies. In order to overcome these problems, this work uses the FAO-56 method to consider the dynamics of vegetation using daily climatological data (rainfall, minimum and maximum temperature) as well as the spatial distribution of soils, land cover and net radiation, providing a framework to estimate the impact that land use change has on aquifer recharge. The Basin of Mexico, home to nearly 20 million people who rely on the Basinís aquifer system as their main water supply is used as a case study using 1985 as an example. The spatial distribution of aquifer recharge obtained in this manner can be used as input in groundwater flow models in order to analyze possible groundwater management scenarios.
File Size : 1,868,859 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 32nd Congress - Venice (2007)
Article : THEME B: Data Acquisition and Processing For Scientific Knowledge and Public Awareness.
Date Published : 01/07/2007
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