PROGRESS IN GEOGRAPHY ›› 2006, Vol. 25 ›› Issue (1): 72-81.doi: 10.11820/dlkxjz.2006.01.008

• Original Articles • Previous Articles     Next Articles

Temporal and Spatial Variation of PM10 Concentration and Its Influence Factor Analysis

MA Ting1,2   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China|
    2. Graduate School of Chinese Academy of Sciences, Beijing 100039, China
  • Received:2005-04-01 Revised:2005-09-01 Online:2006-01-25 Published:2006-01-25

Abstract:

The temporal changing trend, periodicity and spatial variation of PM10 concentration in Xiamen City measured in four different monitoring sites have been analyzed by using time series and simple statistics approaches including correlation analysis, principle component analysis and cross-correlation analysis. The results show the PM10 concentration had no significant increasing and decreasing trend from 2001 to 2002, but had significant periodicity (the most significant periods are 14 and 7 days for different monitoring sites). The spatial distributions of PM10 concentrations, however, are different with monitoring sites. The second PCA can describe the distribution difference exactly. The influences of meteorological factors, including air temperature, rainfall intensity, wind direction and rainfall days, on PM10 concentration have also been analyzed. Especially, the cross correlation analysis (CCA) was applied to estimate the influence of monthly rainfall days (MRD) on PM10 monthly average concentration (MAC). Meteorological factors can change the variation of PM10 concentration directly. The influence of MRD on MAC lags for about 2 or 3 months. Moreover, land cover types are also important to the spatial distribution of PM10 concentration. The local regions where the vegetation cover ratio (VCR) extracted from relatively remote sense data is high have relative low PM10 annual average concentration.

Key words: meteorological factors, PM10, temporal and spatial variation, vegetation cover ration

CLC Number: 

  • X513