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中国四川省城市棕地更新的生态修复策略:从健康风险评估的角度。

Ecological remediation strategy for urban brownfield renewal in Sichuan Province, China: a health risk evaluation perspective.

机构信息

College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.

出版信息

Sci Rep. 2022 Mar 11;12(1):4300. doi: 10.1038/s41598-022-08268-z.

Abstract

Urban brownfield sites are abandoned industrial land and their redevelopment may be affected by environmental pollution, as the latter may pose health risks for residents. In this study, six heavy metals (Pb, As, Cr, Zn, Ni, and Cu) were examined from 87 soil samples extracted from four land use types (industrial area, residential/commercial area, traffic area, and agricultural area) in the Mianyang thermal power plant area, Sichuan Province, China. The soil contamination and environmental risk were evaluated using the single factor index, geo-accumulation index and Human Health Risk Evaluation. ArcGIS was used to map out the spatial distribution of heavy metal concentrations and environmental risk. The results of these analyses have indicated that different land use types have significant effects on the heavy metal contamination of soil. There are 10 non-carcinogenic risk areas of heavy metals in industrial land, while in the other three types there are 9 non-carcinogenic risk areas of heavy metals. Under the brownfield renewal planning, the present study scheme provides an effective method of discernment for ecological remediation of soil heavy metals. In addition, it can aid brownfield in finding different remediation strategies with economic benefits for different risk levels of human health.

摘要

城市棕地是指废弃的工业用地,其再开发可能受到环境污染的影响,因为后者可能对居民的健康构成威胁。本研究采集了中国四川省绵阳市热电厂区 4 种土地利用类型(工业区、商住区、交通区和农业区)的 87 个土壤样本,检测了其中的 6 种重金属(Pb、As、Cr、Zn、Ni 和 Cu)。采用单因子指数法、地积累指数法和人体健康风险评价法对土壤污染和环境风险进行了评价。利用 ArcGIS 对重金属浓度和环境风险的空间分布进行了制图。这些分析的结果表明,不同的土地利用类型对土壤重金属污染有显著影响。在工业区有 10 个重金属非致癌风险区,而在其他三种类型中有 9 个重金属非致癌风险区。在棕地更新规划下,本研究方案为土壤重金属的生态修复提供了一种有效的鉴别方法。此外,它还可以帮助棕地根据不同的健康风险水平找到具有经济效益的不同修复策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d73d/8917217/d8514fc5b5d7/41598_2022_8268_Fig1_HTML.jpg

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