GIS based hotspot analysis and health risk assessment of groundwater arsenic from an unconfined deep aquifer of Lahore, Pakistan

被引:0
|
作者
Syed Umair Shahid
Javed Iqbal
Naeem Akhtar Abbasi
Areej Tahir
机构
[1] University of the Punjab,Centre for Integrated Mountain Research (CIMR)
[2] National University of Sciences and Technology (NUST),Institute of Geographical Information Systems (IGIS)
[3] University of the Punjab,College of Earth and Environmental Sciences
来源
Environmental Geochemistry and Health | 2023年 / 45卷
关键词
Anselin local Moran's ; Cluster outlier analysis; Arsenic; Hotspot analysis; Groundwater; Heath risk assessment; Getis-Ord Gi* statistics;
D O I
暂无
中图分类号
学科分类号
摘要
Use of groundwater for drinking purpose poses serious hazards of arsenic contamination particularly in plains of western Himalayan region. Therefore, current study was designed to investigate the level of Arsenic (As) in the water obtained from tubewells in a metropolitan city of Lahore, Pakistan and assess the human health risk. So, a total of 73 tubewells were sampled randomly in the manner that the whole study region was covered without any clustering. The water samples were analyzed for As using atomic absorption spectrophotometer. These samples were also tested for total dissolved solids, chlorides, pH, alkalinity, turbidity, hardness and calcium. GIS based hotspots analysis technique was used to investigate the spatial distribution patterns. Our results revealed that only one sample out of total 73 had arsenic level below the WHO guideline of 10 μg/L. The spatial distribution map of arsenic revealed that the higher concentrations of arsenic are present in the north-western region of Lahore. The cluster and outlier analysis map using Anselin Local Moran's I statistic indicated the presence of an arsenic cluster in the west of River Ravi. Furthermore, the optimized hotspot analysis based on Getis-Ord Gi* statistics confirmed the statistical significance (P < 0.05) and (P < 0.01) of these samples from the vicinity of River Ravi. Regression analysis showed that variables such as turbidity, alkalinity, hardness, chlorides, calcium and total dissolved solids were significantly (all P < 0.05) associated with level of Arsenic in tubewells. Whereas, PH and electrical conductivity and other variables like town, year of installation, depth and diameter of the wells were not significantly associated with Arsenic concentrations in tubewells. Principal component analysis (PCA) exhibited that the random distribution of tubewell samples showed no distinct clustering with towns studied. Health risk assessment based on hazard and Cancer risk index revealed serious risk of developing carcinogenic and non-carcinogenic diseases particularly in children. The health risk due to prevalence of high As concentration in tubewells’ water need to be mitigated immediately to avoid worst consequences in future.
引用
收藏
页码:6053 / 6068
页数:15
相关论文
共 45 条
  • [31] Response to “Co-occurrence of arsenic and fluoride in the groundwater of Punjab, Pakistan: source discrimination and health risk assessment” by Rasool et al. 2015
    Abida Farooqi
    Mazhar Iqbal Zafar
    Environmental Science and Pollution Research, 2016, 23 : 13578 - 13580
  • [32] Quantitative assessment of possible human health risk associated with consumption of arsenic contaminated groundwater and wheat grains from Ropar Wetand and its environs
    Sharma, Sakshi
    Kaur, Jagdeep
    Nagpal, Avinash Kaur
    Kaur, Inderpreet
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (09)
  • [33] Distribution, prevalence and health risk assessment of fluoride and arsenic in groundwater from lower Gangetic plain in West Bengal, India
    De, Ayan
    Mridha, Deepanjan
    Joardar, Madhurima
    Das, Antara
    Chowdhury, Nilanjana Roy
    Roychowdhury, Tarit
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2022, 16
  • [34] Occurrence, speciation analysis and health risk assessment of arsenic in Chinese mitten crabs (Eriocheir sinensis) collected from China
    Liu, Xiangli
    Wang, Qian
    He, Jun
    Zhao, Minfang
    Qiu, Liping
    Fan, Limin
    Meng, Shunlong
    Yang, Guang
    Li, Tian
    Li, Qiang
    Song, Chao
    Chen, Jiazhang
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2020, 94
  • [35] Cardiovascular risk from water arsenic exposure in Vietnam: Application of systematic review and meta-regression analysis in chemical health risk assessment
    Phung, Dung
    Connell, Des
    Rutherford, Shannon
    Chu, Cordia
    CHEMOSPHERE, 2017, 177 : 167 - 175
  • [36] Health-Risk Assessment of Groundwater Arsenic Levels in Bhagalpur, India, and Development of a Cost-Effective Paper-Based Arsenic Testing-Kit
    Maity, Sourav
    Dokania, Puja
    Goenka, Manav
    Patil, Pritam Bajirao
    Sarkar, Angana
    CLEAN-SOIL AIR WATER, 2025, 53 (01)
  • [37] Human health risk assessment with spatial analysis: Study of a population chronically exposed to arsenic through drinking water from Argentina
    Navoni, J. A.
    De Pietri, D.
    Olmos, V.
    Gimenez, C.
    Bovi Mitre, G.
    de Titto, E.
    Villaamil Lepori, E. C.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 499 : 166 - 174
  • [38] Health risk assessment of arsenic and other potentially toxic elements in drinking water from an industrial zone of Gujrat, Pakistan: a case study
    Noshin Masood
    Abida Farooqi
    Mazhar Iqbal Zafar
    Environmental Monitoring and Assessment, 2019, 191
  • [39] Human health risk assessment and risk source analysis of arsenic in soil from a coal chemical plant in Northwest China
    Zhang, Kai
    Li, Huifang
    Cao, Zhiguo
    Shi, Ziyue
    Liu, Jing
    JOURNAL OF SOILS AND SEDIMENTS, 2019, 19 (06) : 2785 - 2794
  • [40] Human health risk assessment and risk source analysis of arsenic in soil from a coal chemical plant in Northwest China
    Kai Zhang
    Huifang Li
    Zhiguo Cao
    Ziyue Shi
    Jing Liu
    Journal of Soils and Sediments, 2019, 19 : 2785 - 2794