利用水同位素的见解来改进地表水-地下水相互作用的模拟。
Using insights from water isotopes to improve simulation of surface water-groundwater interactions.
机构信息
Centre for Water, Climate and Land (CWCL), School of Environmental and Life Sciences, College of Engineering, Science and Environment (CESE), University of Newcastle, Callaghan, NSW 2308, Australia.
Centre for Water, Climate and Land (CWCL), School of Environmental and Life Sciences, College of Engineering, Science and Environment (CESE), University of Newcastle, Callaghan, NSW 2308, Australia.
出版信息
Sci Total Environ. 2021 Dec 1;798:149253. doi: 10.1016/j.scitotenv.2021.149253. Epub 2021 Jul 27.
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 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 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.
理解地表水 (SW) 和地下水 (GW) 之间的相互作用具有挑战性，因为缺乏可用信息和涉及过程的复杂性。在本文中，使用数值建模并结合水同位素的见解来模拟 SW-GW 相互作用。同位素分析可用于：(i) 确定不同水源对含水层补给的相对贡献；(ii) 确定具有高 SW-GW 相互作用的区域。针对伊朗 Shiraz 流域的结果表明：(i) SWAT-MODFLOW 的性能优于独立的 SWAT（R 值从 0.50 提高到 0.54）；(ii) 基于同位素数据的见解进行校准的 SWAT-MODFLOW-ISO（SWAT-MODFLOW-ISO）的性能明显优于 SWAT-MODFLOW（R 值从 0.54 提高到 0.68，RMSE 从 1.67 降低到 1.33）。这表明，同位素揭示的 SW-GW 相互作用的见解可用于提高水文建模性能。
Zotero 插件