• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

整合地理空间、水文地质和地球物理数据,以确定伊拉克东北部苏莱曼尼亚盆地的地下水补给潜力区。

Integrating geospatial, hydrogeological, and geophysical data to identify groundwater recharge potential zones in the Sulaymaniyah basin, NE of Iraq.

作者信息

Mohammed Sarkhel H, Mohammed Musaab A A, Karim Hawber Ata, Al-Manmi Diary A Mohammed, Aziz Bakhtiar Qader, Mustafa Asaad I, Szűcs Péter

机构信息

Institute of Water Resources and Environmental Management, University of Miskolc, Miskolc, Hungary.

Department of Earth Sciences and Petroleum, College of Science, University of Sulaimani, Sulaymaniyah, Iraq.

出版信息

Sci Rep. 2025 Mar 22;15(1):9920. doi: 10.1038/s41598-025-94603-z.

DOI:10.1038/s41598-025-94603-z
PMID:40121353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11929930/
Abstract

Groundwater is a critical resource for sustaining human activities, particularly in urban areas, where its importance is exaggerated by growing water demands, urban expansion, and industrial activities. Ensuring future water security necessitates an in-depth understanding of groundwater recharge dynamics, which are often complex and influenced by rapid urbanization. The alarming decline in groundwater resources in both urban and rural regions underscore the urgency for advanced groundwater management strategies. However, identifying and evaluating groundwater recharge potential zones (GWPZs) remains a challenge due to the dynamic interplay of hydrogeological and urban development factors. This study employs an integrated approach combining geographic information system (GIS), remote sensing, and multi-criteria decision analysis using the analytical hierarchy process (MCDA-AHP) to delineate GWPZs in the Sulaymaniyah Basin (SB). The methodology is further supported by hydrogeological data and validated through geophysical investigation using electrical resistivity tomography (ERT) data. For the MCDA-AHP, six thematic layers including rainfall, geology, lineament density, slope, drainage density, and land use/land cover were derived from satellite imagery, geological surveys, and well data. These layers were ranked based on their relative influence on groundwater recharge and integrated using GIS-based weighted overlay analysis to generate groundwater potential maps. The results identified three potential zones for groundwater recharge: low (11.26%), moderate (45.51%), and high (43.23%). Validation using ERT data and receiver operating characteristics (ROC) analysis revealed strong agreement, with an area under the curve (AUC) accuracy of 86%. These findings demonstrate the robustness of the integrated approach, providing a reliable tool for minimizing hydrogeophysical exploration costs and reducing the number of unsuccessful boreholes.

摘要

地下水是维持人类活动的关键资源,在城市地区尤为如此,在这些地区,不断增长的用水需求、城市扩张和工业活动加剧了其重要性。确保未来的水安全需要深入了解地下水补给动态,而这种动态往往很复杂,并受到快速城市化的影响。城乡地区地下水资源的惊人下降凸显了采用先进地下水管理策略的紧迫性。然而,由于水文地质和城市发展因素的动态相互作用,识别和评估地下水补给潜力区(GWPZs)仍然是一项挑战。本研究采用一种综合方法,将地理信息系统(GIS)、遥感和使用层次分析法(MCDA-AHP)的多标准决策分析相结合,以划定苏莱曼尼亚盆地(SB)的地下水补给潜力区。水文地质数据进一步支持了该方法,并通过使用电阻层析成像(ERT)数据的地球物理调查进行了验证。对于MCDA-AHP,从卫星图像、地质调查和水井数据中得出了六个专题图层,包括降雨量、地质、线性密度、坡度、排水密度和土地利用/土地覆盖。根据这些图层对地下水补给的相对影响进行排名,并使用基于GIS的加权叠加分析进行整合,以生成地下水潜力图。结果确定了三个地下水补给潜力区:低(11.26%)、中(45.51%)和高(43.23%)。使用ERT数据和接收器操作特性(ROC)分析进行的验证显示出高度一致性,曲线下面积(AUC)准确率为86%。这些发现证明了综合方法的稳健性,为最大限度地降低水文地球物理勘探成本和减少不成功钻孔数量提供了一个可靠的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/8d0874e8b7f6/41598_2025_94603_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/f4e4fc0855a3/41598_2025_94603_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/2bc0e2124a4a/41598_2025_94603_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/05ea96420610/41598_2025_94603_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/920b0eee5dca/41598_2025_94603_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/c1ff227eea78/41598_2025_94603_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/1f0b066608b3/41598_2025_94603_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/337eb2425b59/41598_2025_94603_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/f95386544496/41598_2025_94603_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/bdb2cae20a93/41598_2025_94603_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/ff1ab68dad75/41598_2025_94603_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/5f217ebfdf88/41598_2025_94603_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/8d0874e8b7f6/41598_2025_94603_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/f4e4fc0855a3/41598_2025_94603_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/2bc0e2124a4a/41598_2025_94603_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/05ea96420610/41598_2025_94603_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/920b0eee5dca/41598_2025_94603_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/c1ff227eea78/41598_2025_94603_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/1f0b066608b3/41598_2025_94603_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/337eb2425b59/41598_2025_94603_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/f95386544496/41598_2025_94603_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/bdb2cae20a93/41598_2025_94603_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/ff1ab68dad75/41598_2025_94603_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/5f217ebfdf88/41598_2025_94603_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/11929930/8d0874e8b7f6/41598_2025_94603_Fig12_HTML.jpg

相似文献

1
Integrating geospatial, hydrogeological, and geophysical data to identify groundwater recharge potential zones in the Sulaymaniyah basin, NE of Iraq.整合地理空间、水文地质和地球物理数据,以确定伊拉克东北部苏莱曼尼亚盆地的地下水补给潜力区。
Sci Rep. 2025 Mar 22;15(1):9920. doi: 10.1038/s41598-025-94603-z.
2
Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India.利用 GIS 和模糊层次分析法对地下水潜力区和人工补给区进行综合评估:以印度佩达瓦古流域为例。
Environ Monit Assess. 2023 Jun 29;195(7):906. doi: 10.1007/s10661-023-11474-5.
3
Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania.坦桑尼亚马库图波拉盆地地下水补给区测绘的地理空间应用
Heliyon. 2022 Sep 26;8(10):e10760. doi: 10.1016/j.heliyon.2022.e10760. eCollection 2022 Oct.
4
Assessment of groundwater recharge potential in a typical geological transition zone in Bauchi, NE-Nigeria using remote sensing/GIS and MCDA approaches.利用遥感/地理信息系统和多标准决策分析方法评估尼日利亚东北部包奇典型地质过渡带的地下水补给潜力
Heliyon. 2021 Apr 30;7(4):e06762. doi: 10.1016/j.heliyon.2021.e06762. eCollection 2021 Apr.
5
Identification and mapping of groundwater recharge zones using multi influencing factor and analytical hierarchy process.利用多影响因素和层次分析法识别与绘制地下水补给区
Sci Rep. 2024 Aug 20;14(1):19240. doi: 10.1038/s41598-024-70324-7.
6
Delineation of groundwater potential zones at micro-spatial units of Nagaon district in Assam, India, using GIS-based MCDA and AHP techniques.利用 GIS 支持的多准则决策分析和层次分析法,在印度阿萨姆邦那加翁地区的微观空间单元中对地下水潜力区进行划分。
Environ Sci Pollut Res Int. 2024 Sep;31(41):54107-54128. doi: 10.1007/s11356-022-24505-4. Epub 2022 Dec 12.
7
Groundwater Potential Zone Mapping Using Analytical Hierarchy Process and GIS in Muga Watershed, Abay Basin, Ethiopia.埃塞俄比亚阿贝伊河流域穆加流域基于层次分析法和地理信息系统的地下水资源潜力区制图
Glob Chall. 2021 Oct 15;6(1):2100068. doi: 10.1002/gch2.202100068. eCollection 2022 Jan.
8
Groundwater potential mapping in Trans Yamuna Region, Prayagraj, using combination of geospatial technologies and AHP method.利用地理空间技术和层次分析法(AHP)在 Prayagraj 的 Trans Yamuna 地区进行地下水潜力制图。
Environ Monit Assess. 2023 Oct 26;195(11):1375. doi: 10.1007/s10661-023-11934-y.
9
Mapping coastal groundwater potential zones using remote sensing based AHP model in Al Qunfudhah region along Red Sea, Saudi Arabia.利用基于遥感的层次分析法模型绘制沙特阿拉伯红海沿岸阿尔昆法达地区的沿海地下水潜在区
Heliyon. 2024 Mar 21;10(7):e28186. doi: 10.1016/j.heliyon.2024.e28186. eCollection 2024 Apr 15.
10
Data on artificial recharge sites identified by geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India.印度安得拉邦阿南塔布尔区半干旱地区通过地理空间工具确定的人工回灌点数据。
Data Brief. 2018 Apr 21;19:462-474. doi: 10.1016/j.dib.2018.04.050. eCollection 2018 Aug.

引用本文的文献

1
Mapping the groundwater potential zones in mountainous areas of Southern China using GIS, AHP, and fuzzy AHP.运用地理信息系统(GIS)、层次分析法(AHP)和模糊层次分析法(fuzzy AHP)绘制中国南方山区地下水潜力区图。
Sci Rep. 2025 May 17;15(1):17159. doi: 10.1038/s41598-025-01837-y.

本文引用的文献

1
Application of analytical hierarchy process to assess groundwater potential for a sustainable management in the Menoua Division.层次分析法在梅努阿分区评估地下水可持续管理潜力中的应用。
Heliyon. 2024 Jan 18;10(2):e24310. doi: 10.1016/j.heliyon.2024.e24310. eCollection 2024 Jan 30.
2
Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia.评估降雨不确定性对埃塞俄比亚裂谷湖盆地区提库尔-乌哈流域地下水补给估算的影响。
Heliyon. 2024 Jan 9;10(2):e24311. doi: 10.1016/j.heliyon.2024.e24311. eCollection 2024 Jan 30.
3
Groundwater potential zonation using VES and GIS techniques: A case study of Weserbi Guto catchment in Sululta, Oromia, Ethiopia.
利用垂向电测深和地理信息系统技术进行地下水潜力分区:以埃塞俄比亚奥罗米亚州苏卢尔塔的韦塞尔比古托集水区为例
Heliyon. 2022 Aug 15;8(8):e10245. doi: 10.1016/j.heliyon.2022.e10245. eCollection 2022 Aug.