Pore water isotope fingerprints to understand the spatiotemporal groundwater recharge variability in ungauged watersheds

被引:10
|
作者
Mattei, Alexandra [1 ,2 ]
Barbecot, Florent [1 ]
Goblet, Patrick [2 ]
Guillon, Sophie [2 ]
机构
[1] Univ Quebec Montreal, Dep Sci Terre & Atmosphere, GEOTOP, CP8888 Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada
[2] PSL Res Univ, MINES ParisTech, Ctr Geosci & Geoengn, 35 Rue St Honore, F-77300 Fontainebleau, France
基金
加拿大自然科学与工程研究理事会;
关键词
64;
D O I
10.1002/vzj2.20066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reliable groundwater recharge quantification at the regional scale (e.g., watershed or subwatershed) is fundamental to sustainable water resource management. Although modeling at the watershed scale is gaining wide support, the long-term monitoring needed for model calibration is often not readily available, as many watersheds worldwide remain ungauged. In response to this situation, we propose a new approach to estimate groundwater recharge at the watershed scale. This approach is fast and accurate and takes into account the existing variability without requiring long-term monitoring. Only a single field campaign to acquire soil water content and pore water isotopic composition depth profiles is needed. The principle is to extend a physically based, one-dimensional unsaturated zone flow model from the local (i.e., profile) to the watershed scale, using an index method for distributed recharge based on a GIS. The methodology was validated in a gauged watershed, where previous studies have estimated recharge using a spatialized water balance model calibrated using long-term discharge monitoring data. Scaling was investigated by comparing recharge values obtained using the local-scale approach at 10 study sites within the watershed with coinciding values obtained at the watershed scale. Recharge values were similar in terms of both dynamics and quantity. Using the pore water isotopic fingerprint of ungauged watersheds is therefore confirmed to be a suitable approach for understanding spatiotemporal recharge variability.
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页数:19
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