HR: 0800h
AN: H11C-0677    [Abstracts]
TI: Statistical and Spatial Analysis of Borderland Ground Water Geochemistry
AU: * Agrawala, G K
EM: gkagrawala@miners.utep.edu
AF: The Univeristy of Texas at El Paso, 500 West University Avenue. Department of Civil Engineering, El Paso, TX 79968, United States
AU: Woocay, A
EM: awoocay@hotmail.com
AF: The Univeristy of Texas at El Paso, 500 West University Avenue. Department of Civil Engineering, El Paso, TX 79968, United States
AU: Walton, J C
EM: walton@utep.edu
AF: The Univeristy of Texas at El Paso, 500 West University Avenue. Department of Civil Engineering, El Paso, TX 79968, United States
AB: The border region is growing rapidly and experiencing a sharp decline both in water quality and availability putting a strain on the quickly diminishing resource. Since water is used primarily for agricultural, domestic, commercial, livestock, mining and power generation, its rapid depletion is of major concern in the region. Tools such as Principal Component Analysis (PCA), Correspondence Analysis and Cluster Analysis have the potential to present new insight into this problem. The Borderland groundwater is analyzed here using some of these Multivariate Analysis methods. PCA is applied to geo-chemical data from the region and a Cluster Analysis is applied to the results in order to group wells with similar characteristics. The derived Principal Axis and well groups are presented as biplots and overlaid on a digital elevation map of the region providing a visualization of potential interactions and flow path between surface water and ground water. Simulation by this modeling technique give a valuable insight to the water chemistry and the potential pollution threats to the already water diminishing resources.
DE: 1000 GEOCHEMISTRY
DE: 1009 Geochemical modeling (3610, 8410)
DE: 1805 Computational hydrology
DE: 1829 Groundwater hydrology
DE: 1831 Groundwater quality
SC: Hydrology [H]
MN: 2007 Fall Meeting