ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Archive > Volume 40 Issue 7 > 2014,40(7):844-851. DOI:10.7519/j.issn.1000-0526.2014.07.008 Prev Next
AWS Precipitation Characteristics Based on K Means Clustering Method in Beijing Area
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Abstract:
By using K means clustering method, hourly precipitation data from 123 automatic weather stations (AWS) in Beijing Area during the period of 2007—2010, the precipitation distribution characteristics of the four areas including North and West area, Northeast area stations, Urban area stations and Southeast area stations are analyzed. Compared with the actual topography and underlying surface types, the classification of automatic stations is more reasonable and can avoid the influence of subjective factors in the regional classification. In Urban areas the precipitation concentration period is the most prominent, mainly in 20:00—00:00 BT daily July with strongest intensity, greater amount and in fewer hours. In the North and West area precipitation mainly appears in 18:00—20:00 BT daily June and 23:00—03:00 BT the next day daily July, with weaker intensity, and less amount and in more hours. In the Northeast area precipitation mainly appears in 00:00—08:00 BT and 17:00—23:00 BT daily July, with the weakest rainfall intensity and the maximum precipitation amount and in more precipitation hours. In the Southeast area precipitation mainly appears in 02:00—04:00 BT daily July, with stronger intensity and greater amount, and in fewer hours.
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