Substantially underestimated global health risks of current ozone pollution
Abstract Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality bu...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55450-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559302288965632 |
|---|---|
| author | Yuan Wang Yuanjian Yang Qiangqiang Yuan Tongwen Li Yi Zhou Lian Zong Mengya Wang Zunyi Xie Hung Chak Ho Meng Gao Shilu Tong Simone Lolli Liangpei Zhang |
| author_facet | Yuan Wang Yuanjian Yang Qiangqiang Yuan Tongwen Li Yi Zhou Lian Zong Mengya Wang Zunyi Xie Hung Chak Ho Meng Gao Shilu Tong Simone Lolli Liangpei Zhang |
| author_sort | Yuan Wang |
| collection | DOAJ |
| description | Abstract Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause ozone-attributable deaths significantly surpass previous recognition from specific diseases worldwide. Notably, mid-latitude Asia (30°N) and the western United States show high mortality burden, contributing substantially to global ozone-attributable deaths. Our study highlights current significant global ozone-related health risks and may benefit the ozone-exposed population in the future. |
| format | Article |
| id | doaj-art-98942b1fc3b441dabb5c89263a8d1326 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-98942b1fc3b441dabb5c89263a8d13262025-01-05T12:38:20ZengNature PortfolioNature Communications2041-17232025-01-0116111510.1038/s41467-024-55450-0Substantially underestimated global health risks of current ozone pollutionYuan Wang0Yuanjian Yang1Qiangqiang Yuan2Tongwen Li3Yi Zhou4Lian Zong5Mengya Wang6Zunyi Xie7Hung Chak Ho8Meng Gao9Shilu Tong10Simone Lolli11Liangpei Zhang12School of Atmospheric Physics, Nanjing University of Information Science and TechnologySchool of Atmospheric Physics, Nanjing University of Information Science and TechnologySchool of Geodesy and Geomatics, Wuhan UniversitySchool of Geospatial Engineering and Science, Sun Yat-sen UniversitySchool of Atmospheric Physics, Nanjing University of Information Science and TechnologySchool of Atmospheric Physics, Nanjing University of Information Science and TechnologySchool of Atmospheric Physics, Nanjing University of Information Science and TechnologyCollege of Geography and Environmental Science, Henan UniversityDepartment of Public and International Affairs, The City University of Hong KongDepartment of Geography, Hong Kong Baptist UniversitySchool of Atmospheric Physics, Nanjing University of Information Science and TechnologyCNR-IMAA, Contrada SThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan UniversityAbstract Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause ozone-attributable deaths significantly surpass previous recognition from specific diseases worldwide. Notably, mid-latitude Asia (30°N) and the western United States show high mortality burden, contributing substantially to global ozone-attributable deaths. Our study highlights current significant global ozone-related health risks and may benefit the ozone-exposed population in the future.https://doi.org/10.1038/s41467-024-55450-0 |
| spellingShingle | Yuan Wang Yuanjian Yang Qiangqiang Yuan Tongwen Li Yi Zhou Lian Zong Mengya Wang Zunyi Xie Hung Chak Ho Meng Gao Shilu Tong Simone Lolli Liangpei Zhang Substantially underestimated global health risks of current ozone pollution Nature Communications |
| title | Substantially underestimated global health risks of current ozone pollution |
| title_full | Substantially underestimated global health risks of current ozone pollution |
| title_fullStr | Substantially underestimated global health risks of current ozone pollution |
| title_full_unstemmed | Substantially underestimated global health risks of current ozone pollution |
| title_short | Substantially underestimated global health risks of current ozone pollution |
| title_sort | substantially underestimated global health risks of current ozone pollution |
| url | https://doi.org/10.1038/s41467-024-55450-0 |
| work_keys_str_mv | AT yuanwang substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT yuanjianyang substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT qiangqiangyuan substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT tongwenli substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT yizhou substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT lianzong substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT mengyawang substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT zunyixie substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT hungchakho substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT menggao substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT shilutong substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT simonelolli substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution AT liangpeizhang substantiallyunderestimatedglobalhealthrisksofcurrentozonepollution |