Research on Vulnerability of Aquifer to Petroleum Hydrocarbon Basing on the ANN and GIS

Yun Zhi Fang; Zhen Min Ma; Yun Yun Luo

doi:10.4028/www.scientific.net/AMM.319.331

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Research on Vulnerability of Aquifer to Petroleum Hydrocarbon Basing on the ANN and GIS
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Feature Selection Based on Ant Colony Optimization for Image Classification
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 319Research on Vulnerability of Aquifer to Petroleum...

Research on Vulnerability of Aquifer to Petroleum Hydrocarbon Basing on the ANN and GIS

Abstract:

We set the karst fissure water where a oil refinery is located as a study object. Quantitative method of vulnerability analysis is raised for petroleum hydrocarbon contamination groundwater system in multiple factor combination conditions.We established the ANN model structure depending on the selected evaluation factors and obtained the weight of each factor coefficient, then superposed the weights of each factor thematic layer by applying ANN and GIS,and put forward model system of vulnerability analysis which petroleum hydrocarbon contaminate groundwater aquifer. Spatial distribution of antifouling performance is finally achieved of which groundwater aquifer is polluted by petroleum hydrocarbon.

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Periodical:

Applied Mechanics and Materials (Volume 319)

Pages:

331-336

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.319.331

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Online since:

May 2013

Authors:

Yun Zhi Fang, Zhen Min Ma, Yun Yun Luo

Keywords:

Antifouling Performance, Artificial Neural Network (ANN), Geographic Information System (GIS), Groundwater Aquifer, Petroleum Hydrocarbons Pollution

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