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DOI10.1007/s10661-019-7542-9
Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data
Zewdie, Gebreab K.; Lary, David J.; Liu, Xun; Wu, Daji; Levetin, Estelle
发表日期2019-07-01
ISSN0167-6369
EISSN1573-2959
卷号191期号:7
英文摘要Millions of people have an allergic reaction to pollen. The impact of pollen allergies is on the rise due to increased pollen levels caused by global warming and the spread of highly invasive weeds. The production, release, and dispersal of pollen depend
关键词PollenNEXRADWeatherMachine learningNeural networkRandom forestEnvironmental public health
学科领域Environmental Sciences
语种英语
WOS记录号WOS:000470677200005
来源期刊ENVIRONMENTAL MONITORING AND ASSESSMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/83494
作者单位Univ Texas Dallas, William B Hanson Ctr Space Sci, Richardson, TX 75080 USA
推荐引用方式
GB/T 7714
Zewdie, Gebreab K.,Lary, David J.,Liu, Xun,et al. Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data[J],2019,191(7).
APA Zewdie, Gebreab K.,Lary, David J.,Liu, Xun,Wu, Daji,&Levetin, Estelle.(2019).Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data.ENVIRONMENTAL MONITORING AND ASSESSMENT,191(7).
MLA Zewdie, Gebreab K.,et al."Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data".ENVIRONMENTAL MONITORING AND ASSESSMENT 191.7(2019).
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