Assessment of urban vulnerability to drought in northern slope of TianShan Mountains

Linlin Chang, Danlin Yu, Jianghua Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the great change of global climate and urbanization, urban drought is becoming a more and more urgent problem that affects human beings. This research investigates specifically urban vulnerability towards drought in the arid regions, and claims that Urban Vulnerability to Drought (UVD) refers to the sensitivity and resilience towards urban droughts. Our evaluation of urban drought vulnerability intends to establish certain metrics of a particular urban system. The evaluation shall provide insights towards better management and sustainable development of the city in the long run. From a systematic point of view, we built a set of regional comprehensive vulnerability assessment indicator system. We adopt the entropy method and collect factors contributing to drought for cities on the northern slope of Tianshan Mountains in 2013. Data was from the city construction and social economic statistical yearbooks. Seven cities on the northern slope of Tianshan Mountains were selected to calculate a drought vulnerability metrics. Detailed analysis of the factors reveals critical factors that contribute to arid city's drought vulnerability.

Original languageEnglish
Title of host publicationProceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015
EditorsShixiong Hu, Xinyue Ye
PublisherIEEE Computer Society
Volume2016-January
ISBN (Electronic)9781467376631
DOIs
StatePublished - 11 Jan 2016
Event23rd International Conference on Geoinformatics, Geoinformatics 2015 - Wuhan, China
Duration: 19 Jun 201521 Jun 2015

Other

Other23rd International Conference on Geoinformatics, Geoinformatics 2015
CountryChina
CityWuhan
Period19/06/1521/06/15

Fingerprint

Drought
drought
vulnerability
mountain
Arid regions
urban system
entropy
evaluation
arid region
social economics
resilience
urbanization
global climate
Sustainable development
sustainable development
Entropy
city
climate
Economics
human being

Keywords

  • Disaster
  • Northern slope of TianShan Mountains
  • Sustainable development
  • Urban drought
  • vulnerability

Cite this

Chang, L., Yu, D., & Zheng, J. (2016). Assessment of urban vulnerability to drought in northern slope of TianShan Mountains. In S. Hu, & X. Ye (Eds.), Proceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015 (Vol. 2016-January). [7378715] IEEE Computer Society. https://doi.org/10.1109/GEOINFORMATICS.2015.7378715
Chang, Linlin ; Yu, Danlin ; Zheng, Jianghua. / Assessment of urban vulnerability to drought in northern slope of TianShan Mountains. Proceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015. editor / Shixiong Hu ; Xinyue Ye. Vol. 2016-January IEEE Computer Society, 2016.
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Chang, L, Yu, D & Zheng, J 2016, Assessment of urban vulnerability to drought in northern slope of TianShan Mountains. in S Hu & X Ye (eds), Proceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015. vol. 2016-January, 7378715, IEEE Computer Society, 23rd International Conference on Geoinformatics, Geoinformatics 2015, Wuhan, China, 19/06/15. https://doi.org/10.1109/GEOINFORMATICS.2015.7378715

Assessment of urban vulnerability to drought in northern slope of TianShan Mountains. / Chang, Linlin; Yu, Danlin; Zheng, Jianghua.

Proceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015. ed. / Shixiong Hu; Xinyue Ye. Vol. 2016-January IEEE Computer Society, 2016. 7378715.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chang L, Yu D, Zheng J. Assessment of urban vulnerability to drought in northern slope of TianShan Mountains. In Hu S, Ye X, editors, Proceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015. Vol. 2016-January. IEEE Computer Society. 2016. 7378715 https://doi.org/10.1109/GEOINFORMATICS.2015.7378715