Evaluation of economic loss from energy-related environmental pollution: a case study of Beijing
Evaluation of economic loss from energy-related environmental pollution: a case study of Beijing作者机构:State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China
出 版 物:《Frontiers of Earth Science》 (地球科学前沿(英文版))
年 卷 期:2013年第7卷第3期
页 面:320-330页
核心收录:
学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 083305[工学-城乡生态环境与基础设施规划] 08[工学] 09[农学] 0903[农学-农业资源与环境] 0833[工学-城乡规划学]
基 金:Financial support is provided by the National Natural Science Foundation of China (Grant Nos. 40901269 and 41101564) the National Science Foundation for Innovative Research Group (No. 51121003) and the Fundamental Research Funds for the Central Universities. The authors would also thank the help of the editor and the comments of the reviewers which significantly improved the quality of this paper
主 题:economic loss environmental pollution health damage energy lifecycle Beijing
摘 要:With the growth of energy consumption, energy-related environmental pollution has become increasingly serious, which in turn causes enormous economic loss because of public health damage, corrosion of materials, crop yield reduction, and other factors. Evaluating economic loss caused by energy-related environmental pollution can contribute to decision making in energy management. A framework for evaluating economic loss from environmental pollution produced during energy production, transportation, and consumption is proposed in this paper. Regarding SO2, PMlo, and solid waste as the main pollutants, economic losses from health damage, materials corrosion, crop yield reduction, and solid waste pollution are estimated based on multiple concentration-response relationships and dos^response functions. The proposed framework and evaluation methods are applied to Beijing, China. It is evident that total economic loss attributable to energy-related environ-mental pollution fluctuated during 2000-2011 but had a general growth trend, with the highest value reaching 2.3× 108 CNY (China Yuan) in 2006. Economic loss caused by health damage contributes most to the total loss among the four measured damage types. The total economic loss strongly correlates with the amount of energy consumption, especially for oil and electricity. Our evaluation framework and methods can be used widely to measure the potential impact of environmental pollution in the energy lifecycle.