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Author:

Xue, Xiao (Xue, Xiao.) | Ren, Zhongyu (Ren, Zhongyu.) | Zhang, Yongxiang (Zhang, Yongxiang.) (Scholars:张永祥) | Gao, Anhu (Gao, Anhu.)

Indexed by:

CPCI-S EI Scopus

Abstract:

This paper used both methods of single parameter and Multi-parameter combination sensitivity analysis in groundwater numerical model parameter sensitivity analysis. With the examples of Jiaozuo, Henan province, choosing coefficient of permeability, porosity and longitudinal dispersion degree as factor, the paper analysis the main controlling factors of contaminant migration of Hexavalent chromium in groundwater. Single parameter sensitivity analysis results show that the permeability coefficient gives largest impact to the migration of hexavalent chromium. It is positively correlates with groundwater numerical model. The rest of the parameters assume the inverse correlation. Multi-parameter combination sensitivity analysis results show that the permeability coefficient has absolute advantage among various parameter combinations. Another conclusion is that longitudinal dispersion degree affects smaller on the process of hexavalent chromium pollutants migration, but the impact on the final density is bigger.

Keyword:

Main controlling factors of recognition Sensitivity analysis Numerical model Ground water flow model

Author Community:

  • [ 1 ] [Xue, Xiao]Beijing Univ Technol, Coll Civil Engn & Architecture, Beijing Key Lab Water Qual Sci & Water Environm R, Beijing 100124, Peoples R China
  • [ 2 ] [Ren, Zhongyu]Beijing Univ Technol, Coll Civil Engn & Architecture, Beijing Key Lab Water Qual Sci & Water Environm R, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Yongxiang]Beijing Univ Technol, Coll Civil Engn & Architecture, Beijing Key Lab Water Qual Sci & Water Environm R, Beijing 100124, Peoples R China
  • [ 4 ] [Gao, Anhu]Liaoning Tech Univ, Fuxing 123000, Peoples R China

Reprint Author's Address:

  • [Xue, Xiao]Beijing Univ Technol, Coll Civil Engn & Architecture, Beijing Key Lab Water Qual Sci & Water Environm R, Beijing 100124, Peoples R China

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Source :

ADVANCES IN ENVIRONMENTAL TECHNOLOGIES, PTS 1-6

ISSN: 1022-6680

Year: 2013

Volume: 726-731

Page: 3564-,

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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