Floating in the air: forecasting allergenic pollen concentration for managing urban public health
文献类型：期刊论文
| 作者 | Zhu, Xiaoyu1,2; Ma, Xuanlong1,2; Zhang, Zhengyang3,4; Liu, Yuxia5; Luo, Yunpeng6,7; Yan, Kai8; Pei, Tao2; Huete, Alfredo9 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2024-12-31 |
| 卷号 | 17期号:1页码:21 |
| 关键词 | Aerobiology pollen forecasting urban sustainability big data public health machine learning |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2024.2306894 |
| 通讯作者 | Ma, Xuanlong(xlma@lzu.edu.cn) ; Pei, Tao(peit@lreis.ac.cn) |
| 英文摘要 | The presence of airborne allergenic pollen causes a variety of immune reactions and respiratory diseases, threatening human life in severe cases. Climate change is exacerbating the allergenic pollen-induced health risks and adding a significant economic burden to societies. Despite the pressing threats, vital health-related information is not available to the public to date, and the reshaping of future geographic allergenic pollen patterns remains unknown. To help establish a critical allergenic pollen forecasting capacity, a systematic review was conducted and three promising future directions were identified: (1) resolving heterogeneous urban plant species distribution and phenology using fine-resolution satellite constellations; (2) acquiring ancillary information about allergenic pollen and patient symptoms from emerging geospatial big data, such as social media; (3) deciphering the coupled effect of climate change and urbanization on future geographic patterns and phenology of allergenic species. On this basis, we recommend an optimized workflow that combines real-time pollen monitoring networks with high-resolution vegetation information and weather forecast systems, comprehensively considering the production and diffusion process of pollen to establish advanced prediction models. By focusing on critical knowledge gaps, this review provides much needed insight to propel the allergenic pollen forecasting research and eventually benefit the management of urban public health. |
| WOS关键词 | AIRBORNE AMBROSIA POLLEN ; BIG DATA ; BIRCH POLLEN ; TIME-SERIES ; METEOROLOGICAL PARAMETERS ; VEGETATION PHENOLOGY ; POACEAE POLLEN ; CLIMATE-CHANGE ; BETULA POLLEN ; GRASS-POLLEN |
| 资助项目 | State Key Laboratory of Resources and Environmental Information System ; National Natural Science Foundation of China[42171305] ; Director Fund of the International Research Center of Big Data for Sustainable Development Goals[CBAS2022DF006] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001148177500001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | State Key Laboratory of Resources and Environmental Information System ; National Natural Science Foundation of China ; Director Fund of the International Research Center of Big Data for Sustainable Development Goals |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202211]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Xuanlong; Pei, Tao |
| 作者单位 | 1.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing, Beijing, Peoples R China 4.Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Chinese Minist Educ, Beijing, Peoples R China 5.South Dakota State Univ, Geospatial Sci Ctr Excellence GSCE, Brookings, SD USA 6.Swiss Fed Inst Forest Snow & Landscape Res WSL, Birendra, Switzerland 7.Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland 8.Beijing Normal Univ, Fac Geog Sci, Innovat Res Ctr Satellite Applicat IRCSA, Beijing, Peoples R China 9.Univ Technol Sydney, Fac Sci, Sch Life Sci, Sydney, Australia |
| 推荐引用方式 GB/T 7714 | Zhu, Xiaoyu,Ma, Xuanlong,Zhang, Zhengyang,et al. Floating in the air: forecasting allergenic pollen concentration for managing urban public health[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024,17(1):21. |
| APA | Zhu, Xiaoyu.,Ma, Xuanlong.,Zhang, Zhengyang.,Liu, Yuxia.,Luo, Yunpeng.,...&Huete, Alfredo.(2024).Floating in the air: forecasting allergenic pollen concentration for managing urban public health.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1),21. |
| MLA | Zhu, Xiaoyu,et al."Floating in the air: forecasting allergenic pollen concentration for managing urban public health".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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