Temporal And Spatial Distribution Characteristics And Factor Analysis Of Beijing Heat Island

In this paper, meteorology stations of meteorological observation data in Beijing, NCEP1℃×1℃daily reanalysis data, Landsat remote sensing data products and WRF mesoscale model analyzes the temporal and spatial distribution characteristics of Beijing urban heat island effect, and then on the impact of Beijing heat island local meteorological conditions factor analyzed and summarized and analyzed the effect of urbanization certain regularity of Beijing urban heat island effect, and the mechanism of the urban heat island carried out some analysis, and finally the use of WRF mesoscale model for urban changes in the underlying surface factors, simulation analysis. The results showed that:Beijing urban heat island in2012up to98.1%probability of occurrence; monthly heat island big difference, Dec. maximum heat island intensity can reach2.24℃; diurnal variation to maintain a high level of night and early morning heat island intensity, daytime heat island intensity V-shaped variation exhibited fluctuations;2012Beijing urban heat island intensity change is a mutation of the phenomenon, the trend corresponds to the heat island intensity of urban heat island effect in Beijing in spring, summer heat island is relatively weak, autumn and winter heat island strong distribution law. In the relatively dense population, the rapid development of urbanization main city, its heat island effect is remarkable, the main city of Beijing city most prominent; from seasonal variation, summer<spring <autumn<winter.Impact of heat island intensity of precipitation is more obvious in2012, and with the increase in precipitation levels, resulting in reduced heat island intensity, negative correlation; wind level changes and heat island intensity also showed a negative correlation, the north wind effects of heat island intensity is less than southerly. Summer day with the highest temperature and the overall heat island intensity positive correlation, negative correlation relationship between the overall daily minimum temperature in winter and heat island intensity, indicating that regardless of the hot weather and cold weather will exacerbate Beijing urban heat island effect. Through the correlation analysis showed that the2012Beijing city winter minimum temperature (correlation coefficient is0.522) impact on the urban heat island intensity is the largest.Built-up area expansion is the main influencing factor of the urban heat island intensity in Beijing; Is building complete area, population size for the influence of urban heat island intensity in Beijing is greater than the total increment; In terms of economic development, energy consumption, the total amount is usually more than the average.Urban land factor will intensify the urban heat island effect, and green space factor will ease the urban heat island effect. With the continuous expansion of urban land, the high value of the temperature in the area of the city also will continue to expand. When urban surface characteristics of the suburbs into the city, the local temperature will continue to rise, and this trend will become more apparent in the night, and will continue to strengthen the urban heat island intensity values especially at night will become more apparent. Heat Island area with the growth of the overall land surface area, the area is also expanding. Description of urban land expansion will exacerbate urban heat island effect, and the impact is greater than during the day at night.