Spatial interpolation and mapping groundwater quality using geostatistical method: case study in Jakham River Basin

被引:0
|
作者
Gautam, Vinay Kumar [1 ]
Singh, P. K. [2 ]
Kothari, Mahesh [2 ]
Elbeltagi, Ahmed [3 ]
机构
[1] Cent Agr Univ, Coll Post Grad Studies Agr Sci, Sch Nat Resource Management, Imphal 793103, Meghalaya, India
[2] Maharana Pratap Univ Agr & Technol, Dept Soil & Water Engn, CTAE, Udaipur 313001, Rajasthan, India
[3] Mansoura Univ, Fac Agr, Agr Engn Dept, Mansoura 35516, Egypt
关键词
Groundwater; PRM; POM; Hard rock; Physico-chemical; GIS; WQI; Drinking water; WATER-QUALITY; INDEX WQI; GIS; DISTRICT; INDIA; JHARKHAND; POLLUTION; DRINKING; TERRAIN; CITY;
D O I
10.1007/s12665-024-11954-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The determination of groundwater quality is the utmost priority for conserving freshwater supplies in semi-arid and hard rock areas, which is necessary for the development of a sustainable water utilization system. This study investigated the potability of water collected from open wells in a basaltic hard rock region interpolated the groundwater quality (WQ) parameters' concentration, and generated a map. During the years 2019 & 2020, in pre and post-monsoon seasons (PRM & POM), a total of 76 samples were taken from the open wells of Jakham River Basin. In this analysis, groundwater quality parameters ranges for the pH (6.50-8.90), EC (< 650- > 1550 mu S/cm), TDS(< 300- > 1200 mg/L), Cl- (0.60-12.20 mg/L), SO42- (0.20-9.70 mg/L), NO3-(0.05-3.0 mg/L), Ca2+ (0.80-10.30 mg/L), Mg2+ (0.60-13.50 mg/L), Na+ (0.80-9.85 mg/L), K+ (0.04-1.60 mg/L) and F- (0.20-1.20 mg/L) in hard rock region. Water quality index (WQI), indicates the qualitative status (excellent, good, poor, very poor, and unsuitable) of groundwater in the study area. The spatial maps were developed using ArcGIS 10.5 software. In PRMseason, the generated value of WQI ranges from 28.28 to 116.74, while for post-monsoon season, it varies from 29.49 to 111.98. As per the findings of GIS-based WQ,index a total of 63.42 percent of the groundwater samples during PRM and 42.02 percent during the POM season were classed as 'good' and could be consumed for drinking. Based on the WQI index, it is concluded that the groundwater in the study area is consumable, with the exception of some discrete patches in the eastern and northern parts of the basin. The high WQ index readings in some samples from the basin imply that the water is inappropriate for direct consumption and must be treated sustainably before being used for drinking. The physico-chemical investigation revealed that rock-water chemistry, dissolution, ion-exchange processes, and human activities controlled groundwater chemistry in the region.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Geostatistical Evaluation of Spatial Variation Related to Groundwater Quality Database: Case Study for Arak Plain Aquifer, Iran
    Jalali, Mohammad
    Karami, Shawgar
    Marj, Ahmad Fatehi
    ENVIRONMENTAL MODELING & ASSESSMENT, 2016, 21 (06) : 707 - 719
  • [22] Groundwater irrigation quality mapping using geostatistical techniques in Amol–Babol Plain, Iran
    Tahoora Sheikhy Narany
    Mohammad Firuz Ramli
    Ahmad Zaharin Aris
    Wan Nor Azmin Sulaiman
    Kazem Fakharian
    Arabian Journal of Geosciences, 2015, 8 : 961 - 976
  • [23] The Impact of Geology of Recharge Areas on Groundwater Quality: A Case Study of Zhob River Basin, Pakistan
    Umar, Muhammad
    Waseem, Amir
    Sabir, Muhammad Amjad
    Kassi, Akhtar Muhammad
    Khan, Abdul Salam
    CLEAN-SOIL AIR WATER, 2013, 41 (02) : 119 - 127
  • [24] Characterization of shallow groundwater quality in the Lower St. Johns River Basin: a case study
    Ouyang, Ying
    Zhang, Jia-En
    Parajuli, Prem
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2013, 20 (12) : 8860 - 8870
  • [25] Characterization of shallow groundwater quality in the Lower St. Johns River Basin: a case study
    Ying Ouyang
    Jia-En Zhang
    Prem Parajuli
    Environmental Science and Pollution Research, 2013, 20 : 8860 - 8870
  • [26] Investigation of Spatial Structure of Groundwater Quality Using Geostatistical Approach in Mehran Plain, Iran
    Khosravi, H.
    Karimi, K.
    Fard, Nakhaee Nezhad S.
    Mesbahzadeh, T.
    POLLUTION, 2016, 2 (01): : 57 - 65
  • [27] Reply to discussion of ‘Study of the spatial distribution of groundwater quality using soft computing and geostatistical models’ by Reza Barati
    Maroufpoor S.
    Shiri J.
    Maroufpoor, Saman (saman.maroofpoor@gmail.com), 1600, Taylor and Francis Ltd. (26): : 246
  • [29] Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation mapping
    Jiao Sijia
    Wu Tianjun
    Luo Jiancheng
    Zhou Ya’nan
    Dong Wen
    Wang Changpeng
    Dong Shiying
    Earth Science Informatics, 2023, 16 : 863 - 875
  • [30] Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation mapping
    Sijia, Jiao
    Tianjun, Wu
    Jiancheng, Luo
    Ya'nan, Zhou
    Wen, Dong
    Changpeng, Wang
    Shiying, Dong
    EARTH SCIENCE INFORMATICS, 2023, 16 (01) : 863 - 875