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
  • [1] Assessment of groundwater quality in a Brazilian semiarid basin using an integration of GIS, water quality index and multivariate statistical techniques
    Silva, M., I
    Goncalves, A. M. L.
    Lopes, W. A.
    Lima, M. T., V
    Costa, C. T. F.
    Paris, M.
    Firmino, P. R. A.
    De Paula Filho, F. J.
    JOURNAL OF HYDROLOGY, 2021, 598
  • [2] Groundwater quality characterization using an integrated water quality index and multivariate statistical techniques
    Gautam, Vinay Kumar
    Kothari, Mahesh
    Al-Ramadan, Baqer
    Singh, Pradeep Kumar
    Upadhyay, Harsh
    Pande, Chaitanya B.
    Alshehri, Fahad
    Yaseen, Zaher Mundher
    PLOS ONE, 2024, 19 (02):
  • [3] Arsenic health risk assessment and the evaluation of groundwater quality using GWQI and multivariate statistical analysis in rural areas, Hashtroud, Iran
    Sheikhi, Samira
    Faraji, Zahra
    Aslani, Hassan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (03) : 3617 - 3631
  • [4] Quality modeling of drinking groundwater using GIS in rural communities, northwest of Iran
    Mosaferi, Mohammad
    Pourakbar, Mojtaba
    Shakerkhatibi, Mohammad
    Fatehifar, Esmaeil
    Belvasi, Mehdi
    JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING, 2014, 12
  • [5] Groundwater quality assessment for potable using WQI and GIS technology in the south of Iran
    Bahrami, Amir
    Bahrami, Mehdi
    Haghani, Elaheh
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2024, 10 (05)
  • [6] Integrated Assessment of Spatial and Temporal Variations of Groundwater Quality in the Eastern Area of Urmia Salt Lake Basin Using Multivariate Statistical Analysis
    Dehghanzadeh, Reza
    Hir, Navid Safavy
    Sis, Jafar Shamsy
    Taghipour, Hassan
    WATER RESOURCES MANAGEMENT, 2015, 29 (04) : 1351 - 1364
  • [7] Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol-Babol Plain, Iran
    Narany, Tahoora Sheikhy
    Ramli, Mohammad Firuz
    Aris, Ahmad Zaharin
    Sulaiman, Wan Nor Azmin
    Fakharian, Kazem
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2014, 186 (09) : 5797 - 5815
  • [8] Impacts of drought phenomenon on the chemical quality of groundwater resources in the central part of Iran-application of GIS technique
    Fallahati, Ali
    Soleimani, Hamed
    Alimohammadi, Mahmood
    Dehghanifard, Emad
    Askari, Masoomeh
    Eslami, Fatemeh
    Karami, Leila
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2020, 192 (01)
  • [9] Evaluation of groundwater quality and heavy metal pollution indices in Bazman basin, southeastern Iran
    Rezaei, Ali
    Hassani, Hossein
    Hassani, Sara
    Jabbari, Nima
    Mousavi, Seyedeh Belgheys Fard
    Rezaei, Samira
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2019, 9
  • [10] Demarcation of groundwater quality domains using GIS for best agricultural practices in the drought-prone Shanmuganadhi River basin of South India
    Palanisamy, A.
    Karunanidhi, D.
    Subramani, T.
    Roy, Priyadarsi D.
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (15) : 18423 - 18435