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基于SEFA方法的区域多污染场地土壤修复环境足迹分析

蒯伟 曹嘉萌 桑春晖 孟豪 王枫 李香兰 董璟琦 张红振 刘汉湖

环境工程学报2025,Vol.19Issue(3):559-567,9.
环境工程学报2025,Vol.19Issue(3):559-567,9.DOI:10.12030/j.cjee.202409127

基于SEFA方法的区域多污染场地土壤修复环境足迹分析

Environmental footprint analysis of regional soil remediation at multiple contaminated sites using the SEFA method

蒯伟 1曹嘉萌 1桑春晖 2孟豪 3王枫 4李香兰 2董璟琦 5张红振 5刘汉湖1

作者信息

  • 1. 中国矿业大学环境与测绘学院,徐州 221116
  • 2. 北京师范大学地理科学学部全球变化与地球系统科学研究院,北京 100875
  • 3. 北京师范大学地理科学学部全球变化与地球系统科学研究院,北京 100875||生态环境部环境规划院土壤保护与景观设计中心,北京 100012
  • 4. 生态环境部环境规划院土壤保护与景观设计中心,北京 100012||北京师范大学环境学院,北京 100875
  • 5. 生态环境部环境规划院土壤保护与景观设计中心,北京 100012
  • 折叠

摘要

Abstract

Assessing the environmental footprint of contaminated sites on a regional scale is a relatively underexplored yet crucial area in environmental studies.This study focuses on a central city in the Beijing-Tianjin-Hebei region.Based on the definition of evaluation boundaries and the development of a data inventory,we utilized the widely recognized environmental footprint analysis tool,SEFA,to conduct a quantitative assessment.The results show that the remediation activities at eight priority polluted sites led to a total consumption of 1.8×104 tons of materials and reagents,while the total waste disposal was 1.2×105 tons.The total water usage reached 3.3× 104 m3,and total energy consumption amounted to 1.4×109 MJ.The total emissions of NOx,SOx,and PM were 68.5 tons,with hazardous air pollutant emissions totaling 0.7 tons and greenhouse gas(GHG)emissions amounting to 1.1×104 tCO2e.The GHG emission intensity was 140.1 kgCO2e·m-3,with 84%of the GHG emissions arising from the material and reagent usage phase.These findings provide valuable insights for the green and sustainable remediation of multiple polluted sites in the region.

关键词

区域尺度/环境足迹/温室气体/能源消耗/碳减排

Key words

regional scale/environmental footprint/greenhouse gases/energy consumption/carbon reduction

分类

环境科学

引用本文复制引用

蒯伟,曹嘉萌,桑春晖,孟豪,王枫,李香兰,董璟琦,张红振,刘汉湖..基于SEFA方法的区域多污染场地土壤修复环境足迹分析[J].环境工程学报,2025,19(3):559-567,9.

基金项目

国家重点研发计划资助项目(2022YFC3703300)、淮北市重大科技专项(HK2022AB001) (2022YFC3703300)

环境工程学报

OA北大核心

1673-9108

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