DocumentCode
3735366
Title
Stochastic delineation of well capture zones in aquifers of Choushui River alluvial fan in central Taiwan
Author
Chi-Ping Lin;Chuen-Fa Ni;I-Hsian Li;Chih-Heng Lu
Author_Institution
Graduate Institute of Applied Geology, National Central University Taoyuan, Taiwan
fYear
2015
Firstpage
427
Lastpage
432
Abstract
The delineation of well capture zones is of great importance to accurately define well head protection area (WHPA) for potential groundwater resources and the public security. Natural aquifer systems typically involve different extent of heterogeneity in aquifer parameters and such parameter variations can directly influence the estimations of flow fields and the delineations of WHPAs. This study employs an unconditional approximate spectral method (ASM) associated with backward particle tracking algorithm to delineate stochastic well capture zones in aquifers of Choushui River alluvial fan (CRAF) in central Taiwan. The analysis integrates hourly-recorded groundwater observations from 1995 to 2013 to be the mean flow field. We implement the developed model to 187 Taiwan Water Corporation (TWC) wells for domestic water supplies in CRAF. With predefined small-scale heterogeneity for hydraulic conductivity, the uncertainty of capture zones are obtained based on the observed pumping rates at TWC wells. Results of the analyses show that the average distances of mean capture zones in the first layer of CRAF are about one kilometer from the TWC wells. The small-scale hydraulic conductivity can induce capture zone uncertainties ranging from meters to tens of meters in one year depending on the complexity of the flow field. The uncertainty zones of WHPA in CRAF can be served as the basis to conduct risk analysis for drinking water.
Keywords
"Stochastic processes","Uncertainty","Rivers","Monitoring","Bandwidth","Water pollution","Geology"
Publisher
ieee
Conference_Titel
Security Technology (ICCST), 2015 International Carnahan Conference on
Print_ISBN
978-1-4799-8690-3
Electronic_ISBN
2153-0742
Type
conf
DOI
10.1109/CCST.2015.7389722
Filename
7389722
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