Comparison of methods to calculate groundwater recharge for karst aquifers under a Mediterranean climate

IF 2.4 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
P Hepach, L Bresinsky, M Sauter, Y Livshitz, I Engelhardt
{"title":"Comparison of methods to calculate groundwater recharge for karst aquifers under a Mediterranean climate","authors":"P Hepach, L Bresinsky, M Sauter, Y Livshitz, I Engelhardt","doi":"10.1007/s10040-024-02809-8","DOIUrl":null,"url":null,"abstract":"<p>Karst aquifers can be particularly vulnerable to human activities and climate change due to their relatively high degree of connection with the surface. This study utilized an ensemble of event-based recharge calculation methods to address the problem of structural uncertainty for the example of the Western Mountain Aquifer (WMA), a Mediterranean karst aquifer located in Israel and the West Bank. Spatially distributed recharge estimates derived from the Soil and Water Assessment Tool (SWAT) and the process-based infiltration model (PIM) were compared to site-specific, empirical regression models. The SWAT and PIM mean annual recharge estimates ranged from 32–34.6% of precipitation, almost equating to the results of empirical regression models (32–36%). Future recharge predictions under the influence of climate change were quantified by parameterizing the SWAT and PIM methods with a downscaled regional climate model of Israel. SWAT predicts a 23% decrease in recharge by 2051–2070 relative to 1981–2001. In contrast, PIM shows a 9% decrease, possibly due to the representation of infiltration through preferential flow pathways and exclusion of surface runoff processes. These divergent projections underline key methodological differences in the representation of hydrological processes. Nevertheless, both methods effectively provided good estimates of groundwater recharge. The recharge rates estimated from the various methods were integrated into MODFLOW to assess their relative impacts on groundwater storage dynamics. The ensemble of MODFLOW projected groundwater storage outputs can provide guidance for sustainable groundwater management in the region.</p>","PeriodicalId":13013,"journal":{"name":"Hydrogeology Journal","volume":"22 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrogeology Journal","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s10040-024-02809-8","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Karst aquifers can be particularly vulnerable to human activities and climate change due to their relatively high degree of connection with the surface. This study utilized an ensemble of event-based recharge calculation methods to address the problem of structural uncertainty for the example of the Western Mountain Aquifer (WMA), a Mediterranean karst aquifer located in Israel and the West Bank. Spatially distributed recharge estimates derived from the Soil and Water Assessment Tool (SWAT) and the process-based infiltration model (PIM) were compared to site-specific, empirical regression models. The SWAT and PIM mean annual recharge estimates ranged from 32–34.6% of precipitation, almost equating to the results of empirical regression models (32–36%). Future recharge predictions under the influence of climate change were quantified by parameterizing the SWAT and PIM methods with a downscaled regional climate model of Israel. SWAT predicts a 23% decrease in recharge by 2051–2070 relative to 1981–2001. In contrast, PIM shows a 9% decrease, possibly due to the representation of infiltration through preferential flow pathways and exclusion of surface runoff processes. These divergent projections underline key methodological differences in the representation of hydrological processes. Nevertheless, both methods effectively provided good estimates of groundwater recharge. The recharge rates estimated from the various methods were integrated into MODFLOW to assess their relative impacts on groundwater storage dynamics. The ensemble of MODFLOW projected groundwater storage outputs can provide guidance for sustainable groundwater management in the region.

Abstract Image

地中海气候下岩溶含水层地下水补给量计算方法比较
由于岩溶含水层与地表的联系程度相对较高,因此特别容易受到人类活动和气候变化的影响。本研究以位于以色列和约旦河西岸的地中海岩溶含水层--西部山区含水层(WMA)为例,利用基于事件的补给计算方法组合来解决结构不确定性问题。将水土评估工具(SWAT)和基于过程的渗透模型(PIM)得出的空间分布式补给估算值与特定地点的经验回归模型进行了比较。SWAT 和 PIM 的年平均补给估算值为降水量的 32-34.6%,几乎与经验回归模型的结果(32-36%)相同。通过将 SWAT 和 PIM 方法与以色列降尺度区域气候模型进行参数化,对气候变化影响下的未来补给预测进行了量化。据 SWAT 预测,到 2051-2070 年,补给量将比 1981-2001 年减少 23%。与此相反,PIM 显示减少了 9%,这可能是由于通过优先流动路径表示了渗透,并排除了地表径流过程。这些不同的预测强调了在水文过程表示方法上的主要差异。不过,这两种方法都有效地估算了地下水补给量。将各种方法估算出的补给率整合到 MODFLOW 中,以评估它们对地下水储存动态的相对影响。MODFLOW 预测的地下水储量输出集合可为该地区的可持续地下水管理提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Hydrogeology Journal
Hydrogeology Journal 地学-地球科学综合
CiteScore
5.40
自引率
7.10%
发文量
128
审稿时长
6 months
期刊介绍: Hydrogeology Journal was founded in 1992 to foster understanding of hydrogeology; to describe worldwide progress in hydrogeology; and to provide an accessible forum for scientists, researchers, engineers, and practitioners in developing and industrialized countries. Since then, the journal has earned a large worldwide readership. Its peer-reviewed research articles integrate subsurface hydrology and geology with supporting disciplines: geochemistry, geophysics, geomorphology, geobiology, surface-water hydrology, tectonics, numerical modeling, economics, and sociology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信