Using insights from water isotopes to improve simulation of surface water-groundwater interactions

被引:22
作者
Jafari, Tina [1 ]
Kiem, Anthony S. [1 ]
Javadi, Saman [2 ]
Nakamura, Takashi [3 ]
Nishida, Kei [3 ]
机构
[1] Univ Newcastle, Coll Engn Sci & Environm CESE, Ctr Water Climate & Land CWCL, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia
[2] Univ Tehran, Dept Water Engn, Coll Aburalhan, Tehran, Iran
[3] Univ Yamanashi, Interdisciplinary Ctr River Basin Environm, Kofu, Yamanashi 4008511, Japan
关键词
Water isotope; SWAT; SWAT-MODFLOW; Integrated modelling; RIVER-BASIN; NON-STATIONARITY; STABLE-ISOTOPES; SWAT; MODEL; AQUIFER; MODFLOW; FLOW; LAKE; MANAGEMENT;
D O I
10.1016/j.scitotenv.2021.149253
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding interactions between surface water (SW) and groundwater (GW) is challenging because of the lack of information available and the complexity of the processes involved. In this paper, SW-GW interactions are simulated using numerical modelling integrated with insights from water isotopes. Isotope analysis can be used to (i) determine the relative contribution from different sources of water into aquifer recharge and (ii) identify areas with high SW-GW interactions. The results, for the Shiraz catchment in Iran, show that (i) SWAT-MODFLOW has better performance than stand-alone SWAT (R-2 improvement from 0.50 to 0.54) and (ii) SWAT-MODFLOW calibrated with insights from isotope data (SWAT-MODFLOW-ISO) has significantly better performance than SWAT-MODFLOW (R-2 improvement from 0.54 to 0.68 and RMSE reduction from 1.67 to 1.33). This demonstrates that insights into SW-GW interactions that are revealed by isotopes can be used to improve hydrological modelling performance. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:13
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