生态与农村环境学报
生態與農村環境學報
생태여농촌배경학보
JOURNAL OF ECOLOGY AND RURAL ENVIRONMENT
2015年
1期
44-49
,共6页
白鹤鸣%师华定%高庆先%李喜仓%邸瑞琦%吴宜航
白鶴鳴%師華定%高慶先%李喜倉%邸瑞琦%吳宜航
백학명%사화정%고경선%리희창%저서기%오의항
气象调整%空气污染指数%KZ滤波
氣象調整%空氣汙染指數%KZ濾波
기상조정%공기오염지수%KZ려파
meteorological adjustment%air pollution index%KZ filter
空气污染时间序列中气象信息与污染源排放信息的分离研究对大气污染控制措施效果评估具有重要意义。依据北京市、天津市和石家庄市2001—2010年期间的空气污染指数( API)逐日数据和同期地面气象观测资料,利用KZ滤波将API时间序列分解为短期分量、季节分量和长期分量,采用逐步回归方法分别建立API基线分量和短期分量与相应尺度气象要素的线性回归模型,通过对残差进行滤波和序列重建,最终得到去除气象影响的API时间序列。分析结果表明:由于污染源排放的变化,京津石3市API长期分量在2002—2009年期间总体呈现下降趋势;不利的气象条件致使京津石3市API长期分量增加1~13,而在气象条件对空气质量改善呈现促进作用的情况下API长期分量减少2~6。
空氣汙染時間序列中氣象信息與汙染源排放信息的分離研究對大氣汙染控製措施效果評估具有重要意義。依據北京市、天津市和石傢莊市2001—2010年期間的空氣汙染指數( API)逐日數據和同期地麵氣象觀測資料,利用KZ濾波將API時間序列分解為短期分量、季節分量和長期分量,採用逐步迴歸方法分彆建立API基線分量和短期分量與相應呎度氣象要素的線性迴歸模型,通過對殘差進行濾波和序列重建,最終得到去除氣象影響的API時間序列。分析結果錶明:由于汙染源排放的變化,京津石3市API長期分量在2002—2009年期間總體呈現下降趨勢;不利的氣象條件緻使京津石3市API長期分量增加1~13,而在氣象條件對空氣質量改善呈現促進作用的情況下API長期分量減少2~6。
공기오염시간서렬중기상신식여오염원배방신식적분리연구대대기오염공제조시효과평고구유중요의의。의거북경시、천진시화석가장시2001—2010년기간적공기오염지수( API)축일수거화동기지면기상관측자료,이용KZ려파장API시간서렬분해위단기분량、계절분량화장기분량,채용축보회귀방법분별건립API기선분량화단기분량여상응척도기상요소적선성회귀모형,통과대잔차진행려파화서렬중건,최종득도거제기상영향적API시간서렬。분석결과표명:유우오염원배방적변화,경진석3시API장기분량재2002—2009년기간총체정현하강추세;불리적기상조건치사경진석3시API장기분량증가1~13,이재기상조건대공기질량개선정현촉진작용적정황하API장기분량감소2~6。
The study on separation of meteorological information and emission information of pollution sources in air pollu?tant time series is of some important significance to the evaluation of air pollution control measures. Based on the daily air pollution index ( API) and simultaneous surface meteorological observation data during 2001-2010 in Beijing, Tianjin and Shijiazhuang, the Kolmogorov?Zurbenko ( KZ) wave filter method was used to break the API time series into short?term, seasonal and long?term components, and then the stepwise regression was used to set up API baseline and short?term com?ponents separately and establish linear regression models for meteorological variables of corresponding scales. The residual differences between the baseline and short?term components were KZ filtered and series reestablished. And eventually an API time series free of meteorological impacts was worked out. Results of the study show that the long?term component of API shows a downward trend in all the three cities from 2002-2009, which may be attributed to changes in emission with the influence of meteorology removed, namely, meteorological adjustment. Comparison of the meteorologicaly adjusted long?term trends with unadjusted ones show that unfavorable meteorological conditions often lead to increase by 1-13 in the long?term API in the three cities, whereas favorable meteorological conditions account for reduction by 2-6 in the compo?nent.