Monte Carlo Simulation–Aided Analytic Hierarchy Process Approach: Case Study of Assessing Preferred Non-Point-Source Pollution Control Best Management Practices
作者： Liang Jing , Bing Chen , Baiyu Zhang , Pu Li , Jisi Zheng
DOI: 10.1061/(ASCE)EE.1943-7870.0000673
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摘要: AbstractThis paper presents an innovative Monte Carlo simulation—aided analytical hierarchy process (MC-AHP) approach by integrating the beta-PERT distribution, pairwise comparison, and simulation. A case study related to non-point-source pollution management in southwest China is used demonstrate applicability of proposed approach. Five alternative best practices (BMPs) (i.e., constructed wetlands technology, conservation tillage, fertilizer pesticide management, irrigation livestock grazing management) are evaluated experts using a number criteria such as reliability, capital costs, environmental benefits. Statistical analysis indicates that tillage has highest score (0.25–0.36) most replications, its overlap with second-best statistically negligible. Constructed along mostly found second- third-best alternatives, sc...
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