Detailed knowledge of groundwater flow is essential for understanding geochemical processes in the subsurface. Identification of recharge and discharge areas and mechanisms, as well as flow lines are essential for delineating trends in geochemical evolution, including changes in As concentrations, and to quantify reaction rates. Hydrogeology Core D will provide the tools and expertise for collection and analysis of a broad range of hydrogeological data in the US and in Bangladesh under Projects 4, 5, and 6 and the Research Translation Core. The following types of data will be obtained and interpreted: high-precision position and elevation by differential GPS;surface permeability by coring and frequency EM conductivity, resistivity/SIP surveys also to characterize the subsurface, aquifer stratigraphy from drill cuttings, core samples, and down hole geophysical logging;determination of hydraulic properties including water levels, conductivity, storativity, and porosity;groundwater dating and pathway tracing from SF6, 3H/3He,180, 2H, and Br. Field activities supported under Core D include the installation of multilevel wells equipped with pressure loggers, deploying a Geoprobe system and a new freeze-shoe coring device, as well as cross bore hole resistivity and induced polarization surveys. The Core will support in situ forced gradient experiments, with a focus on characterizing the zone of injections and tracking injected fluids with geophysical methods and tracers. Laboratory activities include sample preparation systems for isotopic analyses, gas chromatographs, and noble gas mass spectrometers. Water isotope (180, 2H) analyses will be performed by a commercial laboratory. Tracer data will also be used to derive groundwater residence times for a range of time scales (months to 10,000s of years), to identify recharge and discharge areas and mechanisms and to track groundwater mixing in the aquifers. Modeling activities supported under Core D include three-dimensional flow modeling using hydraulic and tracer data as calibration targets and reactive transport simulations for As and other relevant aquifer constituents.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
2P42ES010349-11
Application #
8262928
Study Section
Special Emphasis Panel (ZES1-JAB-J (SF))
Project Start
Project End
Budget Start
2012-04-20
Budget End
2013-03-31
Support Year
11
Fiscal Year
2012
Total Cost
$229,373
Indirect Cost
$95,676
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Kibriya, Muhammad G; Jasmine, Farzana; Parvez, Faruque et al. (2017) Association between genome-wide copy number variation and arsenic-induced skin lesions: a prospective study. Environ Health 16:75
Mateen, Farrah J; Grau-Perez, Maria; Pollak, Jonathan S et al. (2017) Chronic arsenic exposure and risk of carotid artery disease: The Strong Heart Study. Environ Res 157:127-134
Whaley-Martin, K J; Mailloux, B J; van Geen, A et al. (2017) Human and livestock waste as a reduced carbon source contributing to the release of arsenic to shallow Bangladesh groundwater. Sci Total Environ 595:63-71
Chen, Yu; Wu, Fen; Saito, Eiko et al. (2017) Association between type 2 diabetes and risk of cancer mortality: a pooled analysis of over 771,000 individuals in the Asia Cohort Consortium. Diabetologia 60:1022-1032
Pfaff, A; Schoenfeld, A; Ahmed, K M et al. (2017) Reduction in exposure to arsenic from drinking well-water in Bangladesh limited by insufficient testing and awareness. J Water Sanit Hyg Dev 7:331-339
Gnanaprakasam, Edwin T; Lloyd, Jonathan R; Boothman, Christopher et al. (2017) Microbial Community Structure and Arsenic Biogeochemistry in Two Arsenic-Impacted Aquifers in Bangladesh. MBio 8:
Zheng, Yan; Flanagan, Sara V (2017) The Case for Universal Screening of Private Well Water Quality in the U.S. and Testing Requirements to Achieve It: Evidence from Arsenic. Environ Health Perspect 125:085002
Keimowitz, Alison R; Mailloux, Brian J; Wovkulich, Karen et al. (2017) Manganese redox buffering limits arsenic release from contaminated sediments, Union Lake, New Jersey. Appl Geochem 77:24-30
Dean, Samantha G; Zhang, Chenan; Gao, Jianjun et al. (2017) The association between telomere length and mortality in Bangladesh. Aging (Albany NY) 9:1537-1551
Radloff, Kathleen A; Zheng, Yan; Stute, Martin et al. (2017) Reversible adsorption and flushing of arsenic in a shallow, Holocene aquifer of Bangladesh. Appl Geochem 77:142-157

Showing the most recent 10 out of 300 publications