Literature DB >> 30906078

The Impact of Aquifer Flushing on Groundwater Arsenic Across a 35-km Transect Perpendicular to the Upper Brahmaputra River in Assam, India.

R Choudhury1,2, B Nath3, M R Khan4, C Mahanta1, T Ellis3, A van Geen3.   

Abstract

Well testing in the floodplain of the Brahmaputra River in Golaghat and Jorhat districts of Assam, India, shows that groundwater arsenic (As) concentrations increase with distance from the river. To establish the origin of this pattern, an additional 900 wells <60 m deep were tested for As and 9 sites were drilled along a 35-km transect perpendicular to the river. The field data show no relation between groundwater As concentrations ranging from <1 to 660 μg/L along the transect and (a) As concentrations of <1-5 mg/kg in cuttings of aquifer sand recovered while drilling or (b) the degree of reduction of iron oxides in these cuttings. The drilling indicates, however, a marked increase in the thickness of a clay layer capping the aquifer starting from <1-5 m near the river to over 60 m at the most distant site towards the base of the Naga foothills. Organic radiocarbon ages of 18-46 kyr obtained from all but one of 13 clay samples indicate pre-Holocene deposition of the underlying sands across the entire transect. Radiocarbon ages of dissolved inorganic carbon of 0.2, 4.7, and 17.8 kyr were measured in groundwater from 3 monitoring wells installed to 30-60 m depth at distances of 10, 20, and 40 km from the river, respectively. A conceptual groundwater flow model consistent with monitored heads and groundwater ages suggests that thick clay layers capping the aquifer further from the river inhibited flushing of the aquifer and, as a result, preserved higher As levels in groundwater.

Entities:  

Year:  2018        PMID: 30906078      PMCID: PMC6424526          DOI: 10.1029/2017WR022485

Source DB:  PubMed          Journal:  Water Resour Res        ISSN: 0043-1397            Impact factor:   5.240


  2 in total

1.  Regulation of groundwater arsenic concentrations in the Ravi, Beas, and Sutlej floodplains of Punjab, India.

Authors:  Anand Kumar; Chander Kumar Singh; Benjamin Bostick; Athena Nghiem; Brian Mailloux; Alexander van Geen
Journal:  Geochim Cosmochim Acta       Date:  2020-03-12       Impact factor: 5.010

2.  Predicting the Distribution of Arsenic in Groundwater by a Geospatial Machine Learning Technique in the Two Most Affected Districts of Assam, India: The Public Health Implications.

Authors:  Bibhash Nath; Runti Chowdhury; Wenge Ni-Meister; Chandan Mahanta
Journal:  Geohealth       Date:  2022-03-01
  2 in total

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