上海市浦东新区成蚊密度与气象因素相关性

Correlation between adult mosquito density and meteorological factors in Pudong New Area of Shanghai, China

  • 摘要:
    目的 了解上海市浦东新区成蚊密度和季节消长规律,探究气象因素对成蚊密度的影响。
    方法 2017—2021年每年4—11月,在浦东新区使用CO2诱蚊灯每旬开展1次成蚊密度监测,收集同期气象资料,采用Pearson相关性分析和多元线性回归模型探究成蚊密度与气象因素之间的关联。
    结果 成蚊密度季节消长表现为单峰分布,高峰出现在7月,密度为7.09只·(台次)-1。成蚊密度与月平均气温、月最高气温、月最低气温、月平均相对湿度正相关(r=0.813、0.793、0.820、0.617,均P<0.05),与月平均气压负相关(r=-0.738,P<0.05)。浦东新区成蚊密度与月最低气温的回归方程为Y=0.066 X3-0.884,校正R2为0.673。
    结论 浦东新区成蚊密度季节消长呈单峰,成蚊密度与月平均气温、月最高气温、月最低气温、平均相对湿度及月平均气压有关,与月最低气温呈线性相关关系。

     

    Abstract:
    Objective To learn the density and seasonal variation of adult mosquitoes in Pudong New Area of Shanghai, and to explore the influence of meteorological factors on the density of adult mosquitoes.
    Methods From April to November in 2017‒2021, adult mosquito density in Pudong New Area was monitored every ten days a time by using CO2 trapping light method. Meteorological data were collected during the same time, and Pearson correlation analysis and multiple linear regression model were used to investigate the correlation between adult mosquito density and meteorological factors.
    Results The seasonal variation of adult mosquito density showed a single-peak pattern, with the peak of 7.09 mosquitoes·(set·time)-1 in July. The adult mosquito density was positively correlated with the monthly average temperature, monthly maximum temperature, monthly minimum temperature, and monthly average relative humidity (r=0.813, 0.793, 0.820, 0.617, all P<0.05), but negatively correlated with monthly average air pressure (r=-0.738, P<0.05). The regression equation of the adult mosquito density and monthly minimum temperature in Pudong New Area of Shanghai was Y=0.066 X3-0.884, with a corrected R2 of 0.673, indicating a good model fitting.
    Conclusion The overall seasonal variation of adult mosquito density in Pudong New Area showed a single-peak pattern. The density of adult mosquitoes was correlated with the monthly average temperature, monthly maximum temperature, monthly minimum temperature, monthly average relative humidity, and monthly average air pressure, and linearly correlated with monthly minimum temperature.

     

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