Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing
PM2.5 emissions from heavy-duty diesel trucks (HDDTs) have a significant impact on air quality, human health, and climate change, and seriously threaten the UN Sustainable Development Goals. Globally, a series of emission control measures have been implemented to reduce pollution emissions from HDDT...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
|
| Series: | Environment International |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412023004257 |
| _version_ | 1797683193155944448 |
|---|---|
| author | Shifen Cheng Beibei Zhang Peng Peng Feng Lu |
| author_facet | Shifen Cheng Beibei Zhang Peng Peng Feng Lu |
| author_sort | Shifen Cheng |
| collection | DOAJ |
| description | PM2.5 emissions from heavy-duty diesel trucks (HDDTs) have a significant impact on air quality, human health, and climate change, and seriously threaten the UN Sustainable Development Goals. Globally, a series of emission control measures have been implemented to reduce pollution emissions from HDDTs. Current studies assessing the impact of these measures on air quality and human health have mainly used coarse-grained emission data as input to dispersion model, resulting in the inability to capture the spatiotemporal variability of pollutant concentrations and tending to increase the uncertainty of health impact assessment results. In this study, we quantified the impact of pollution control policies for HDDTs in Beijing on PM2.5 concentrations, human health, and economic losses by integrating policy scenario analysis, pollution dispersion simulation, public health impact and economic benefit assessment models, supported by high spatiotemporal resolution emission data from HDDTs. The results show that PM2.5 concentrations from HDDTs exhibit significant spatial aggregation characteristics, with the intensity of aggregation at night being about twice as high as that during the day. The emission hotspots are mainly concentrated in the sixth, fifth and fourth rings and major highways. Compared to the “business as usual” scenario in 2018, the current policy of updating the fuel standard to China VI and the emission standard to China 6 can reduce PM2.5 concentrations by 96.72%, thereby avoiding 612 premature deaths, which is equivalent to obtaining economic benefits of 1.65 billion CNY. This study further emphasizes the importance of high spatiotemporal resolution emission data during traffic dispersion modeling. The results can help improve the understanding of the effectiveness of emission reduction measures for HDDTs from a health benefit perspective. |
| first_indexed | 2024-03-12T00:10:59Z |
| format | Article |
| id | doaj.art-413febe688b744e7b690990d9432dcb8 |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-03-12T00:10:59Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-413febe688b744e7b690990d9432dcb82023-09-16T05:28:43ZengElsevierEnvironment International0160-41202023-09-01179108152Health and economic benefits of heavy-duty diesel truck emission control policies in BeijingShifen Cheng0Beibei Zhang1Peng Peng2Feng Lu3State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; The Academy of Digital China, Fuzhou University, Fuzhou, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; Corresponding author at: State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.PM2.5 emissions from heavy-duty diesel trucks (HDDTs) have a significant impact on air quality, human health, and climate change, and seriously threaten the UN Sustainable Development Goals. Globally, a series of emission control measures have been implemented to reduce pollution emissions from HDDTs. Current studies assessing the impact of these measures on air quality and human health have mainly used coarse-grained emission data as input to dispersion model, resulting in the inability to capture the spatiotemporal variability of pollutant concentrations and tending to increase the uncertainty of health impact assessment results. In this study, we quantified the impact of pollution control policies for HDDTs in Beijing on PM2.5 concentrations, human health, and economic losses by integrating policy scenario analysis, pollution dispersion simulation, public health impact and economic benefit assessment models, supported by high spatiotemporal resolution emission data from HDDTs. The results show that PM2.5 concentrations from HDDTs exhibit significant spatial aggregation characteristics, with the intensity of aggregation at night being about twice as high as that during the day. The emission hotspots are mainly concentrated in the sixth, fifth and fourth rings and major highways. Compared to the “business as usual” scenario in 2018, the current policy of updating the fuel standard to China VI and the emission standard to China 6 can reduce PM2.5 concentrations by 96.72%, thereby avoiding 612 premature deaths, which is equivalent to obtaining economic benefits of 1.65 billion CNY. This study further emphasizes the importance of high spatiotemporal resolution emission data during traffic dispersion modeling. The results can help improve the understanding of the effectiveness of emission reduction measures for HDDTs from a health benefit perspective.http://www.sciencedirect.com/science/article/pii/S0160412023004257Heavy-duty diesel trucksTraffic emissionsDispersion modelHealth impact assessmentScenario analysis |
| spellingShingle | Shifen Cheng Beibei Zhang Peng Peng Feng Lu Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing Environment International Heavy-duty diesel trucks Traffic emissions Dispersion model Health impact assessment Scenario analysis |
| title | Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing |
| title_full | Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing |
| title_fullStr | Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing |
| title_full_unstemmed | Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing |
| title_short | Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing |
| title_sort | health and economic benefits of heavy duty diesel truck emission control policies in beijing |
| topic | Heavy-duty diesel trucks Traffic emissions Dispersion model Health impact assessment Scenario analysis |
| url | http://www.sciencedirect.com/science/article/pii/S0160412023004257 |
| work_keys_str_mv | AT shifencheng healthandeconomicbenefitsofheavydutydieseltruckemissioncontrolpoliciesinbeijing AT beibeizhang healthandeconomicbenefitsofheavydutydieseltruckemissioncontrolpoliciesinbeijing AT pengpeng healthandeconomicbenefitsofheavydutydieseltruckemissioncontrolpoliciesinbeijing AT fenglu healthandeconomicbenefitsofheavydutydieseltruckemissioncontrolpoliciesinbeijing |