[Urban heat island intensity and its grading in Liaoning Province of Northeast China].
According to the recorded air temperature data and their continuity of each weather station, the location of each weather station, the numbers of and the distances among the weather stations, and the records on the weather stations migration, several weather stations in Liaoning Province were selected as the urban and rural representative stations to study the characteristics of urban heat island (UHI) intensity in the province. Based on the annual and monthly air temperature data of the representative stations, the ranges and amplitudes of the UHI intensity were analyzed, and the grades of the UHI intensity were classified. The Tieling station, Dalian station, Anshan station, Chaoyang station, Dandong station, and Jinzhou station and the 18 stations including Tai' an station were selected as the representative urban and rural weather stations, respectively. In 1980-2009, the changes of the annual UHI intensity in the 6 representative cities differed. The annual UHI intensity in Tieling was in a decreasing trend, while that in the other five cities was in an increasing trend. The UHI intensity was strong in Tieling but weak in Dalian. The changes of the monthly UHI intensity in the 6 representative cities also differed. The distribution of the monthly UHI intensity in Dandong, Jinzhou and Tieling took a "U" shape, with the maximum and minimum appeared in January and in May-August, respectively, indicating that the monthly UHI intensity was strong in winter and weak in summer. The ranges of the annual and monthly UHI intensity in the 6 cities were 0.57-2.15 degrees C and -0.70-4.60 degrees C, and the ranges of 0.5-2.0 degrees C accounted for 97.8% and 72.3%, respectively. The UHI intensity in the province could be classified into 4 grades, i. e., weak, strong, stronger and strongest.
Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China. llg7308@163.com
Li-Guang
LG
Li
Hong-Bo
HB
Wang
Qing-Yu
QY
Jia
Guo-Hong
GH
Lü
Xiao-Ying
XY
Wang
Yu-Shu
YS
Zhang
Jing-Feng
JF
Ai
D002681:China; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods*; D057232:Global Warming / Q000706:statistics & numerical data*; D006358:Hot Temperature; D008685:Meteorological Concepts; D012621:Seasons; D014887:Weather