Comprehensive evaluation of groundwater quality and drought susceptibility in Jazmurian Basin Iran using integrated statistical GIS analysis

被引:0
作者
Lotfinasabasl, Sakineh [1 ]
Gohardoust, Azade [1 ]
Dargahian, Fatemeh [1 ]
Zandifar, Samira [1 ]
机构
[1] Agr Res Educ & Extens Org AREEO, Res Inst Forest & Rangelands, Tehran, Iran
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Arid regions; Spatial salinity dynamics; Drought vulnerability; Cluster and factor analysis; Iran groundwater; MIDDLE-EAST; RISK INDEX; AQUIFER; REGION;
D O I
10.1038/s41598-025-95839-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Arid regions face a dual threat of declining groundwater quantity and quality. This study examines these interconnected challenges in the diverse aquifers of Iran's Jazmurian Basin using GIS and statistics. The study reveals significant spatial variations in salinity, hardness, and sodium content. Of particular concern is the rising electrical conductivity (EC) across most aquifers, especially in the east, which indicates potential water quality degradation. The relationship between groundwater level and salinity is intricate and requires site-specific management. Cluster analysis has identified three distinct groundwater profiles: deep formations that require geological understanding for salinity control, high-quality zones that need recharge protection, and areas that struggle with salinity sources that require identification. Factor analysis identifies salinity and aridity, mineral content related to rock weathering and agriculture, recharge zones requiring protection, and complex interactions between specific ions and groundwater level as key drivers. This study highlights the importance of implementing comprehensive management strategies considering spatial variations, temporal trends, and unique drivers. Targeted interventions, sustainable water use, and effective monitoring programs are essential for safeguarding this vital resource in drought-prone regions. Further research is necessary to refine our understanding of human influences and unique geochemical processes shaping each aquifer system, ultimately enhancing global arid zone groundwater management.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] Evaluation of groundwater quality using a GIS-MCDA-based model: a case study in Aksaray, Turkey
    Kavurmaci, Murat
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (18)
  • [22] Assessment of groundwater susceptibility to contamination using GIS-based modified DRASTIC model in the Rib watershed, Upper Abay Basin, Ethiopia
    Fentie, Ayalneh Yedem
    Gedefaw, Abebaw Andarge
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2024,
  • [23] Quality Evaluation of Groundwater Resources using Geostatistical Methods (Case Study: Central Lorestan Plain, Iran)
    Safarbeiranvnd, Maryam
    Amanipoor, Hakimeh
    Battaleb-Looie, Sedigheh
    Ghanemi, Kamal
    Ebrahimi, Behrouz
    WATER RESOURCES MANAGEMENT, 2018, 32 (11) : 3611 - 3628
  • [24] Quality Evaluation of Groundwater Resources using Geostatistical Methods (Case Study: Central Lorestan Plain, Iran)
    Maryam Safarbeiranvnd
    Hakimeh Amanipoor
    Sedigheh Battaleb-Looie
    Kamal Ghanemi
    Behrouz Ebrahimi
    Water Resources Management, 2018, 32 : 3611 - 3628
  • [25] Mapping potential zones for groundwater recharge and its evaluation in arid environments using a GIS approach: Case study of North Gafsa Basin (Central Tunisia)
    Mokadem, Naziha
    Boughariou, Emna
    Mudarra, Matias
    Ben Brahim, Fatma
    Andreo, Bartolome
    Hamed, Younes
    Bouri, Salem
    JOURNAL OF AFRICAN EARTH SCIENCES, 2018, 141 : 107 - 117
  • [26] Groundwater Potential Zone Mapping in the Ghaggar River Basin, North-West India, Using Integrated Remote Sensing and GIS Techniques
    Upadhyay, Ritambhara K.
    Tripathi, Gaurav
    Durin, Bojan
    Samanovic, Sanja
    Cetl, Vlado
    Kishore, Naval
    Sharma, Mukta
    Singh, Suraj Kumar
    Kanga, Shruti
    Wasim, Md
    Rai, Praveen Kumar
    Bhardwaj, Vinay
    WATER, 2023, 15 (05)
  • [27] Water quality indices and multivariate statistical analysis of urban groundwater in semi-arid Sokoto Basin, Northwestern Nigeria
    Wali, Saadu Umar
    Alias, Noraliani Binti
    Bin Harun, Sobri
    Umar, Kabiru Jega
    Gada, Murtala Abubakar
    Dankani, Ibrahim Mustapha
    Kaoje, Ismail Usman
    Usman, Abdulquadir Abubakar
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2022, 18
  • [28] Evaluation of Groundwater Quality for Drinking and Irrigation Purposes Using GIS-Based IWQI, EWQI and HHR Model
    Wang, Ying
    Li, Rui
    Wu, Xiangchuan
    Yan, Yuting
    Wei, Changli
    Luo, Ming
    Xiao, Yong
    Zhang, Yunhui
    WATER, 2023, 15 (12)
  • [29] Determining the most suitable areas for artificial groundwater recharge via an integrated PROMETHEE II-AHP method in GIS environment (case study: Garabaygan Basin, Iran)
    Nasiri, Hossein
    Boloorani, Ali Darvishi
    Sabokbar, Hassan Ali Faraji
    Jafari, Hamid Reza
    Hamzeh, Mohamad
    Rafii, Yusef
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2013, 185 (01) : 707 - 718
  • [30] A GIS-Based Comparative Analysis of Frequency Ratio and Statistical Index Models for Flood Susceptibility Mapping in the Upper Krishna Basin, India
    Pawar, Uttam
    Suppawimut, Worawit
    Muttil, Nitin
    Rathnayake, Upaka
    WATER, 2022, 14 (22)