An approach for mining the causation of heat island effect based on decision tree

Xiaoyan Dai; Zhongyang Guo; Xia Liu; Xiaodong Li; Yanling Zhu

doi:10.1109/FSKD.2010.5569514

An approach for mining the causation of heat island effect based on decision tree

Xiaoyan Dai
, Zhongyang Guo^*
, Xia Liu
, Xiaodong Li
, Yanling Zhu

^*Corresponding author for this work

School of Geographic Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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 entironment.

Original language	English
Title of host publication	Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Pages	2746-2750
Number of pages	5
DOIs	https://doi.org/10.1109/FSKD.2010.5569514
State	Published - 2010
Event	2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 - Yantai, Shandong, China Duration: 10 Aug 2010 → 12 Aug 2010

Publication series

Name	Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Volume	6

Conference

Conference	2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Country/Territory	China
City	Yantai, Shandong
Period	10/08/10 → 12/08/10

Keywords

Causation of heat island effect
Decision tree
Influencing factor
Shanghai

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/FSKD.2010.5569514

Cite this

Dai, X., Guo, Z., Liu, X., Li, X., & Zhu, Y. (2010). An approach for mining the causation of heat island effect based on decision tree. In Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 (pp. 2746-2750). Article 5569514 (Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010; Vol. 6). https://doi.org/10.1109/FSKD.2010.5569514

@inproceedings{199cce70286747ce928da77934db7e11,

title = "An approach for mining the causation of heat island effect based on decision tree",

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 entironment.",

keywords = "Causation of heat island effect, Decision tree, Influencing factor, Shanghai",

author = "Xiaoyan Dai and Zhongyang Guo and Xia Liu and Xiaodong Li and Yanling Zhu",

year = "2010",

doi = "10.1109/FSKD.2010.5569514",

language = "英语",

isbn = "9781424459346",

series = "Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010",

pages = "2746--2750",

booktitle = "Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010",

note = "2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 ; Conference date: 10-08-2010 Through 12-08-2010",

}

Dai, X, Guo, Z, Liu, X, Li, X & Zhu, Y 2010, An approach for mining the causation of heat island effect based on decision tree. in Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010., 5569514, Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010, vol. 6, pp. 2746-2750, 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010, Yantai, Shandong, China, 10/08/10. https://doi.org/10.1109/FSKD.2010.5569514

An approach for mining the causation of heat island effect based on decision tree. / Dai, Xiaoyan; Guo, Zhongyang; Liu, Xia et al.
Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010. 2010. p. 2746-2750 5569514 (Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An approach for mining the causation of heat island effect based on decision tree

AU - Dai, Xiaoyan

AU - Guo, Zhongyang

AU - Liu, Xia

AU - Li, Xiaodong

AU - Zhu, Yanling

PY - 2010

Y1 - 2010

N2 - 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 entironment.

AB - 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 entironment.

KW - Causation of heat island effect

KW - Decision tree

KW - Influencing factor

KW - Shanghai

UR - https://www.scopus.com/pages/publications/78649275272

U2 - 10.1109/FSKD.2010.5569514

DO - 10.1109/FSKD.2010.5569514

M3 - 会议稿件

AN - SCOPUS:78649275272

SN - 9781424459346

T3 - Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

SP - 2746

EP - 2750

BT - Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

T2 - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

Y2 - 10 August 2010 through 12 August 2010

ER -

Dai X, Guo Z, Liu X, Li X, Zhu Y. An approach for mining the causation of heat island effect based on decision tree. In Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010. 2010. p. 2746-2750. 5569514. (Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010). doi: 10.1109/FSKD.2010.5569514

An approach for mining the causation of heat island effect based on decision tree

Abstract

Publication series

Conference

Keywords

UN SDGs

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