DocumentCode :
3140438
Title :
Groundwater Pollution Risk Assessment Using the DRASTIC Model at San Menxia Basin, Henan Province
Author :
Lu, Xiaohui ; Zhao, Deshan
Author_Institution :
Sch. of Earth Sci. & Eng., Hohai Univ., Nanjing, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Groundwater pollution risk assessment to delineate areas that are more susceptible to contamination from anthropogenic sources has become an important element for sensible resource management and land use planning. This contribution aims at estimating groundwater pollution risk assessment by applying the DRASTIC model as well as utilizing sensitivity analyses to evaluate the relative importance of the model parameters in San Menxia Basin, Henan Province. The DRASTIC model uses seven environmental parameters (Depth to water, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and hydraulic Conductivity) to characterize the hydro- geological setting and evaluate groundwater pollution risk assessment.. The part of the labour and agriculture developed area and near by reservoir was dominated by "High" pollution risk classes while the second and third terra part was characterized by "Moderate" pollution risk classes. The elevated the loess part of the study area displayed "Low" pollution risk.The ultimate goal of the study was to define the specifications of an inexpensive easy-to-use computer-based system that would assist state regulatory and planning personal in evaluating groundwater pollution problems.
Keywords :
groundwater; land use planning; reservoirs; risk management; water pollution; China; DRASTIC model; San Menxia Basin; agriculture; anthropogenic sources; aquifer media; computer-based system; contamination; depth-to-water; environmental parameters; groundwater pollution risk assessment; hydraulic conductivity; hydrogeological setting; land use planning; net recharge; reservoir; resource management; sensitivity analyses; soil media; terra part; topography; vadose zone impact; Contamination; Land pollution; Land use planning; Resource management; Risk management; Sensitivity analysis; Soil; Surfaces; Water pollution; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5517460
Filename :
5517460
Link To Document :
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