DocumentCode :
2033988
Title :
An approach for mining the causation of heat island effect based on decision tree
Author :
Dai, Xiaoyan ; Guo, Zhongyang ; Liu, Xia ; Li, Xiaodong ; Zhu, Yanling
Author_Institution :
State Key Lab. of Estuarine & Coastal Res., East China Normal Univ., Shanghai, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2746
Lastpage :
2750
Abstract :
Urban thermal environment is a complicated nonlinear system, which is affected by the integration of various influencing factors inside the city. To explore the mechanism of urban heat island (UHI) effect formation in the city of Shanghai, China, decision tree is applied to establishing the quantitative relationships between urban thermal environment and its influencing factors, which reflect ecological condition, built-up density and intensity, and human heat. The results indicate that it is feasible to simulate the intensity and distribution of land surface temperature (LST) field and predict the tendency of UHI effect in the future by decision tree. This research will help to take effective measures to alleviate heat island effect, and consequently reduce environmental pollution and improve urban environment.
Keywords :
data mining; decision trees; geographic information systems; UHI effect; causation mining; decision tree; land surface temperature; urban heat island effect; urban thermal environment; Cities and towns; Decision trees; Land surface; Land surface temperature; Remote sensing; Thermal factors; Thermal pollution; Shanghai; causation of heat island effect; decision tree; influencing factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569514
Filename :
5569514
Link To Document :
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