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机构地区:[1]兰州大学大气科学学院,甘肃兰州730000 [2]陕西省咸阳市气象局,陕西咸阳712000
出 处:《安徽农业科学》2013年第13期5857-5861,共5页Journal of Anhui Agricultural Sciences
基 金:陕西省气象局科技创新基金计划项目(2011M-23)
摘 要:利用咸阳市环境监测站2010、2011年的SO2、NO2、PM103种污染物的日平均浓度和同期的地面气象资料,对其进行相关分析,并建立了同期及未来1 d的污染物浓度预报方程。结果表明,污染物浓度与能见度、云量、风速的相关基本稳定,均呈明显负相关,与相对湿度、气压、气温的相关随着季节的变化,其相关性也发生变化;次日的污染物浓度与风速的相关程度好于同期,其他因子随着月份的不同,与同期比较相关程度各异;由同期和未来1 d的预报方程可得出SO2、NO2、PM103种污染物的当日估计值和次日预报值。Using daily average concentration of SO2 , NO2 , PM10 in Xianyang City environmental monitoring station in 2010, 2011 and corre- sponding surface meteorological data, the correlation analysis was conducted, pollutant concentration prediction equation for synchronization and the next day was established. The results showed that the relativity about pollutant concentration and visibility, cloudiness, wind speed is negative and basically stable, and the relative with humidity, pressure, temperatures are associated with seasonal variation, its relevance chan- ges with the seasons. Related degrees of the next day~ pollutant concentration and wind speed is better than synchronical periods, other factors differ in related degree with months from synchronical periods. From prediction equation, inferences can be made about the estimated value on a single day and the predictive value of the next day of the three pollutants: SO2, NO2 and PM10.
关 键 词:污染物浓度 地面气象要素 相关性 预报方程 咸阳市区
分 类 号:S161[农业科学—农业气象学]
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