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DOI10.1089/ees.2010.0219
Artificial Neural Network Models for Daily PM10 Air Pollution Index Prediction in the Urban Area of Wuhan, China
Wu, Shengjun; Feng, Qi; Du, Yun; Li, Xiaodong
发表日期2011
ISSN1092-8758
卷号28期号:5
英文摘要Dust storm is a critical remote source that causes low air quality in many cities in China. The prediction accuracy of high particulate matter with a diameter <10 mu m(PM10) air pollution index (API) event caused by dust storm is low in China. To solve this problem, dust storm data from northern China was first used to tune the Elman-based forecast model to predict the daily PM10 API with a lead time of 1 day. Effectiveness of this forecaster was tested using a time series recorded from September 1, 2001, to December 31, 2007, at six monitoring stations located within the urban area of Wuhan, China. Experimental trials show that the improved Elman model provides low root mean square error values and mean absolute error values in comparison to the standard Elman model. In addition, higher coefficient of determination (r(2) = 0.62) and accuracy rate (83.33%) values were realized for the improved Elman model in comparison to the standard Elman model (r(2) = 0.22, accuracy rate = 64.81%) when predicting high PM10 API events caused by dust storms.
关键词artificial neural networkElmanrecurrent neural networkdust storm
学科领域Engineering; Environmental Sciences & Ecology
语种英语
WOS研究方向Engineering, Environmental ; Environmental Sciences
来源期刊ENVIRONMENTAL ENGINEERING SCIENCE
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/111636
作者单位Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China
推荐引用方式
GB/T 7714
Wu, Shengjun,Feng, Qi,Du, Yun,et al. Artificial Neural Network Models for Daily PM10 Air Pollution Index Prediction in the Urban Area of Wuhan, China[J]. 中国科学院西北生态环境资源研究院,2011,28(5).
APA Wu, Shengjun,Feng, Qi,Du, Yun,&Li, Xiaodong.(2011).Artificial Neural Network Models for Daily PM10 Air Pollution Index Prediction in the Urban Area of Wuhan, China.ENVIRONMENTAL ENGINEERING SCIENCE,28(5).
MLA Wu, Shengjun,et al."Artificial Neural Network Models for Daily PM10 Air Pollution Index Prediction in the Urban Area of Wuhan, China".ENVIRONMENTAL ENGINEERING SCIENCE 28.5(2011).
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