Near surface lithology and spatial variation of arsenic in the shallow groundwater: southeastern Bangladesh

被引:29
|
作者
Hoque, Mohammad A. [1 ,2 ]
Khan, Aftab A. [3 ]
Shamsudduha, M. [4 ]
Hossain, Muhammad S. [3 ]
Islam, Tariqul [3 ]
Chowdhury, Shahid H. [3 ]
机构
[1] UCL, Dept Earth Sci, London WC1E 6BT, England
[2] Shahjalal Univ Sci & Technol, Dept Petr & Georesources Engn, Sylhet 3114, Bangladesh
[3] Univ Dhaka, Dept Geol, Dhaka 1000, Bangladesh
[4] UCL, Dept Geog, London WC1E 6BT, England
来源
ENVIRONMENTAL GEOLOGY | 2009年 / 56卷 / 08期
关键词
Bangladesh; Shallow groundwater; Surface lithology; Arsenic; Spatial variation; GANGES-BRAHMAPUTRA DELTA; BENGAL BASIN; QUATERNARY STRATIGRAPHY; AQUIFERS; SEDIMENT; CONTAMINATION; EVOLUTION; RELEASE; INDIA; WELL;
D O I
10.1007/s00254-008-1267-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigated the relationship between near-surface lithology and the spatial variability of As concentrations using sediment grain-size analysis and electromagnetic induction survey in the southeast Bangladesh. It has been observed that the aquifers overlain by finer sediments have higher concentrations of As in groundwater, whereas As concentrations are remarkably low in aquifers having permeable sandy materials or thinner silt/clay layer at the surface. The near-surface lithology acts as a controlling factor for spatial distributions of groundwater As within the very shallow depths (< 15 m). Shallow alluvial aquifers can provide low-As drinking water in many areas of the country when tube wells are properly installed after investigation of the overlying near-surface sediment attributes and hydraulic properties.
引用
收藏
页码:1687 / 1695
页数:9
相关论文
共 50 条
  • [41] Spatial and temporal variation in arsenic in the groundwater of upstream of Ganges River Basin, Nepal
    Ishwar Chandra Yadav
    Ningombam Linthoingambi Devi
    Surendra Singh
    Environmental Earth Sciences, 2015, 73 : 1265 - 1279
  • [42] Biogeochemical properties and potential risk of shallow arsenic-rich sediment layers to groundwater quality in Western Bangladesh
    Nguyen Van Thinh
    Masaru Matsumoto
    Myo Zaw
    Yoshihiro Kuwahara
    Yiping Xie
    Akinori Ozaki
    Kiyoshi Kurosawa
    Environmental Geochemistry and Health, 2022, 44 : 3249 - 3263
  • [43] Isotopic Indication of Spatial Heterogeneity of Arsenic in Shallow Groundwater of Middle Yangtze River Lacustrine Plain
    Li D.
    Deng Y.
    Du Y.
    Yan G.
    Sun X.
    Fan H.
    Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2021, 46 (12): : 4492 - 4502
  • [44] Improved near surface characterization of shallow arsenic distribution by SIMS depth profiling
    Büyüklimanli, TH
    Marino, JW
    Novak, SW
    APPLIED SURFACE SCIENCE, 2004, 231 : 636 - 639
  • [45] Arsenic and other toxic elemental contamination of groundwater, surface: Water and soil in Bangladesh and its possible effects on human health
    Islam, R
    Salminen, R
    Lahermo, PW
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2000, 22 (01) : 33 - 53
  • [46] Arsenic and other toxic elemental contamination of groundwater, surface water and soil in Bangladesh and its possible effects on human health
    Islam M.R.
    Salminen R.
    Lahermo P.W.
    Environmental Geochemistry and Health, 2000, 22 (1) : 33 - 53
  • [47] Prediction of arsenic concentration in groundwater of Chapainawabganj, Bangladesh: machine learning-based approach to spatial modeling
    Khatun M.F.
    Reza A.H.M.S.
    Sattar G.S.
    Khan A.S.
    Khan M.I.A.
    Environmental Science and Pollution Research, 2024, 31 (33) : 46023 - 46037
  • [48] Spatial variation of groundwater arsenic distribution in the Chianan Plain, SW Taiwan: Role of local hydrogeological factors and geothermal sources
    Sengupta, S.
    Sracek, O.
    Jean, J. -S.
    Lu, H. -Y.
    Wang, C. -H.
    Palcsu, L.
    Liu, C. -C.
    Jen, C. -H.
    Bhattacharya, P.
    JOURNAL OF HYDROLOGY, 2014, 518 : 393 - 409
  • [49] Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh - Machine learning spatial prediction modeling and comparison with arsenic
    Podgorski, Joel
    Araya, Dahyann
    Berg, Michael
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 833
  • [50] Variation in arsenic concentration relative to ammonium nitrogen and oxidation reduction potential in surface and groundwater
    Kurosawa, Kiyoshi
    Egashira, Kazuhiko
    Tani, Masakazu
    Jahiruddin, M.
    Moslehuddin, Abu Zofar M.
    Rahman, M. Zulfikar
    COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2008, 39 (9-10) : 1467 - 1475