Geospatial Data Assimilation and Mapping Groundwater Vulnerability in High Plains Aquifer Using DRASTIC Model | Zendy

Sumon Datta | Zendy; Ali Ajaz | Zendy

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Geospatial Data Assimilation and Mapping Groundwater Vulnerability in High Plains Aquifer Using DRASTIC Model

Author(s) -

Sumon Datta,

Ali Ajaz

Publication year - 2019

Publication title -

fundamental and applied agriculture

Language(s) - English

Resource type - Journals

eISSN - 2518-2021

pISSN - 2415-4474

DOI - 10.5455/faa.53506

Subject(s) - geospatial analysis , aquifer , groundwater , assimilation (phonology) , vulnerability (computing) , water resource management , environmental science , data assimilation , hydrology (agriculture) , geography , geology , cartography , computer science , meteorology , geotechnical engineering , computer security , linguistics , philosophy

High Plains Aquifer is one of the most important aquifers in the United States, accounting for one-fourth of total annual freshwater withdrawal, and one-fifth of crop production of some major crops. But the area above this aquifer has not been extensively researched for determining the risk of groundwater pollution. Therefore, this study was undertaken to determine the groundwater pollution potential using the DRASTIC model in a Geographic Information System (GIS) environment. Despite the limited data availability, DRASTIC model proved effective in delineating areas of High Plains Aquifer susceptible to groundwater contamination. The results from the model indicated that large portions of southwestern Texas, central Kansas, eastern Colorado, eastern Wyoming, western and north-western Nebraska were highly vulnerable to groundwater pollution whereas Oklahoma had the lowest vulnerability.

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