Abstract：A decision-making strategy based on multi-objective optimization of the environment and social economy for the remediation of redeveloped contaminated site was constructed in this study, and a case study was carried out on the basis of this novel approach. The results reveal that:the remediation volume could be reduced by 62.5% through land use planning adjustments following the Class II Land remediation standards (GB3660-2018), which will decrease the environmental adverse effects; After multi-objective optimization of the land use planning and remediation strategies, the remediation cost could be reduced by 28.3% and 27.4%, respectively. Furthermore, the optimization of land-use intensity could increase the income by 24.3% while taking multiple social sustainable goals into account simultaneously. The break-even analysis of multi-objective optimization show that the increase in land revenue by elevating the land-use intensity would be higher than that of the remediation cost, and the break-even point will be achieved only when a certain degree of land-use intensity was reached. The multi-objective optimized remediation strategy balanced the powers and capital relations of different stakeholders (including the local government, the public, site owners, and the land developers) and ensured both environmental and socio-economic benefits of remediation, aligning well with the green and sustainable remediation and redevelopment goals.
金远亮, 侯德义, 田莉, 王刘炜, 宋易南. 基于用地规划的污染地块修复多目标优化研究[J]. 中国环境科学, 2021, 41(2): 787-800.
JIN Yuan-liang, HOU De-yi, TIAN Li, WANG Liu-wei, SONG Yi-nan. Multi-objective optimization for brownfield remediation on the basis of land use planning. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(2): 787-800.
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