AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya
被引:0
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作者:
Polash Banerjee
论文数: 0引用数: 0
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机构:SMIT,Department of Computer Science and Engineering
Polash Banerjee
Mrinal Kanti Ghose
论文数: 0引用数: 0
h-index: 0
机构:SMIT,Department of Computer Science and Engineering
Mrinal Kanti Ghose
Ratika Pradhan
论文数: 0引用数: 0
h-index: 0
机构:SMIT,Department of Computer Science and Engineering
Ratika Pradhan
机构:
[1] SMIT,Department of Computer Science and Engineering
[2] Sikkim Manipal University,Department of Computer Applications
[3] Sikkim University,Department of Computer Applications
[4] SMIT,undefined
[5] Sikkim Manipal University,undefined
来源:
Applied Water Science
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2018年
/
8卷
关键词:
Analytic hierarchy process;
Environmental impact assessment;
Geographic information systems;
Sensitivity analysis;
Water pollution;
Highway;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Spatial analysis of water quality impact assessment of highway projects in mountainous areas remains largely unexplored. A methodology is presented here for Spatial Water Quality Impact Assessment (SWQIA) due to highway-broadening-induced vehicular traffic change in the East district of Sikkim. Pollution load of the highway runoff was estimated using an Average Annual Daily Traffic-Based Empirical model in combination with mass balance model to predict pollution in the rivers within the study area. Spatial interpolation and overlay analysis were used for impact mapping. Analytic Hierarchy Process-Based Water Quality Status Index was used to prepare a composite impact map. Model validation criteria, cross-validation criteria, and spatial explicit sensitivity analysis show that the SWQIA model is robust. The study shows that vehicular traffic is a significant contributor to water pollution in the study area. The model is catering specifically to impact analysis of the concerned project. It can be an aid for decision support system for the project stakeholders. The applicability of SWQIA model needs to be explored and validated in the context of a larger set of water quality parameters and project scenarios at a greater spatial scale.