He Li, Xu Zongda, Fan Xing, Li Jing, Lu Hongwei
Water Environ Res. 2017 May 1;89(5):456-465. doi: 10.2175/106143017X14839994523541.
This study develops a meta-modeling based mathematical programming approach with flexibility in environmental standards. It integrates numerical simulation, meta-modeling analysis, and fuzzy programming within a general framework. A set of models between remediation strategies and remediation performance can well guarantee the mitigation in computational efforts in the simulation and optimization process. In order to prevent the occurrence of over-optimistic and pessimistic optimization strategies, a high satisfaction level resulting from the implementation of a flexible standard can indicate the degree to which the environmental standard is satisfied. The proposed approach is applied to a naphthalene-contaminated site in China. Results show that a longer remediation period corresponds to a lower total pumping rate and a stringent risk standard implies a high total pumping rate. The wells located near or in the down-gradient direction to the contaminant sources have the most significant efficiency among all of remediation schemes.
本研究开发了一种基于元建模的数学规划方法，该方法在环境标准方面具有灵活性。它在一个通用框架内集成了数值模拟、元建模分析和模糊规划。一组修复策略与修复性能之间的模型能够很好地保证在模拟和优化过程中减少计算量。为了防止出现过于乐观和悲观的优化策略，实施灵活标准所产生的高满意度水平可以表明环境标准的满足程度。所提出的方法应用于中国一个萘污染场地。结果表明，修复期越长，总抽水率越低，而严格的风险标准意味着高总抽水率。在所有修复方案中，位于污染源附近或下游方向的井具有最显著的效率。
