Abstract:The current air quality attainment planning had several shortcomings, including inconsistent aims, impracticability, and lack of cost-benefit analysis in selecting appropriate alternatives. A logical framework is designed to demonstrate the attainment planning based on public health. The system of aims is demonstrated, which consists of the aim of planning, air quality, and human health. The emission reduction plan is designed to reduce pollutants according to priorities. Cost-benefit analysis should be conducted to determine priorities, such as heavy pollution day (week, month) and heating season. The plan should be included in the pollutant emission permit to be implemented. When implementing the plan, the machine-learning models can be used to better support the emission management, and the plan should be assessed dynamically to be adjusted.
宋国君, 杨啸, 时钰. 城市空气质量达标规划的逻辑框架[J]. 中国环境科学, 2021, 41(8): 3917-3926.
SONG Guo-jun, YANG Xiao, SHI Yu. The logical framework of air quality attainment planning. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(8): 3917-3926.
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