摘要
目的对2009-2013年成都市蚊密度监测资料和同期降雨量和平均气温进行聚类分析,以期发现气温、降水量的地域分布差异对蚊密度监测值的影响。方法使用Q聚类,对各监测区域的蚊密度和5个气候因素及其3个导出量做初步分类,然后对蚊密度峰值前后的降雨量和平均气温等做因子分析。结果各监测点蚊密度和气温、降水可分为3类,其中旬平均最高温度和温雨系数对分类起决定作用。结论气温分布差异是造成蚊密度峰值地域间差异的主要原因。
Objective To carry out the cluster analysis of mosquito density monitoring data of Chengdu during 2009 -2013 between mean temperature and precipitation with the purpose of regional differences. Methods Mosquito density monitoring data and five climate elements as well as three derived concepts were classified by type Q clustering after that factor analysis had used for temperature and rainfall around density peak value. Results Mosquito density and temperature with precipitation might fall into three classes, and temperature played a crucial role in the classification. Conclusion The difference of mosquito density peak value is caused by mean 10 days＇ maximum temperature and precipitation-temperature ratio.
出处
《中华卫生杀虫药械》
CAS
2015年第2期171-172,174,共3页
Chinese Journal of Hygienic Insecticides and Equipments
关键词
蚊密度
平均气温
降雨量
聚类分析
因子分析
density of mosquito
mean temperature
precipitation
cluster analysis
factor analysis
