An ecohydrological modelling approach for assessing long-term recharge rates in semiarid karstic landscapes

被引:23
作者
Contreras, Sergio [1 ]
Boer, Matthias M. [2 ]
Alcala, Francisco J. [3 ]
Domingo, Francisco [1 ]
Garcia, Monica [1 ]
Pulido-Bosch, Antonio [4 ]
Puigdefabregas, Juan [1 ]
机构
[1] CSIC, Dept Desertificac & Geoecol Estac Expt Zonas Arid, Almeria 04001, Spain
[2] Univ Western Australia, Sch Plant Biol, Ecosyst Res Grp, Crawley, WA 6009, Australia
[3] Univ Almeria, Dept Fis Aplicada, Almeria 04120, Spain
[4] Univ Almeria, Dept Hidrogeol & Quim Analit, Almeria 04120, Spain
关键词
annual water balance; recharge; semiarid region; NDVI; hydrological equilibrium hypothesis;
D O I
10.1016/j.jhydrol.2007.11.039
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
An ecohydrological water balance method based on the hydrological equilibrium hypothesis was developed to estimate long-term annual recharge rates in semiarid karstic landscapes. Recharge was predicted from the difference between long-term annual precipitation and evapotranspiration rates. A multiple regression interpolation approach was used to compute precipitation. Evapotranspiration was quantified from the deviations between the observed local value of the normalised difference vegetation index (NDVI) and, the predicted minimum and maximum NDVI values for two hydrologically-well defined reference conditions representing the minimum and maximum vegetation density given a local long-term water availability index. NDVI values for the reference conditions (NDVImin and NDVImax) were estimated from an empirically-based boundary analysis. Evapotranspiration rates for the reference conditions were estimated using a monthly water budget model that integrates the roles of the soil water holding capacity and a climate-driven evaporative coefficient (k) representing the mean annual conductance of the vegetation canopy. The methodology was tested in Sierra de Gador (SE Spain), where predicted evapotranspiration and, recharge rates compared well with local and regional scale estimates obtained from independent methods. A sensitivity analysis showed that NDVImax and k are the parameters that mostly affect our model's evapotranspiration and recharge estimates. (C) 2007 Elsevier B.V. All rights reserved.
引用
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页码:42 / 57
页数:16
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