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Data for: A Systems Approach to Remediating Human Exposure to Arsenic and Fluoride from Over-exploited Aquifers


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Type: Resource
Storage: The size of this resource is 76.7 KB
Created: May 02, 2022 at 4:23 p.m.
Last updated: May 02, 2022 at 4:35 p.m. (Metadata update)
Published date: May 02, 2022 at 4:35 p.m.
DOI: 10.4211/hs.d97ce5c11dc347f49a4ec474199dd331
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

This data set contains anonymous information about 159 water production wells and shallow dug wells (Norias) across the Upper Rio Laja Basin in Guanajuato State, Mexico. The type of information contained includes locations of the wells, well type, depths, surface elevations, static and dynamic water levels, average electricity costs, well outer casing diameter and pump tubing diameter (inner casing), pumping rates which are set to be constant, and miscellaneous notes on the well including whether it is possible to obtain a manual water level and whether the well goes dry occasionally. The well type DWSW and IW means Drinking Water Supply Well and Irrigation Well, respectively. The well IDs (PW1, PW2 etc..) correspond to the same wells of previous datasets from this basin published on HYDROSHARE by Peter Knappett.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Upper Rio Laja Watershed
North Latitude
21.7516°
East Longitude
-99.5501°
South Latitude
20.8662°
West Longitude
-101.4727°

Temporal

Start Date:
End Date:

Content

How to Cite

Knappett, P., P. Farias, G. Miller, J. Hoogesteger, Y. Li, I. Mendoza, R. Woodward, H. Hernandez, I. Loza, S. Datta, Y. Huang, G. Carrillo, T. Roh, D. Terrell (2022). Data for: A Systems Approach to Remediating Human Exposure to Arsenic and Fluoride from Over-exploited Aquifers, HydroShare, https://doi.org/10.4211/hs.d97ce5c11dc347f49a4ec474199dd331

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

Peter Knappett 2 years, 6 months ago

Funding was provided by Texas A&M University - CONACYT collaborative research grant program (grant number 2014-001 and 2017-034s) and the Universidad de Guanajuato (grant number 004/2015 and 1013/2016).

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