PA21A:
Global Warming, Urban Heat Island, and Public Health: Vulnerability, Impacts, and Adaption Posters

Submit an Abstract to this Session



Session ID#: 24420

Session Description:
Anthropogenic activities have impacts on Geohealth through production of pollution, modification of chemical and physical atmospheric features, and transformation of land cover and land use associated with urbanization and socio-economic development. The impacts are enhanced through various pathways and natural hazards including flood, drought, storms, and heat waves, in turn, modifying spatiotemporal distribution of vector-borne diseases, such as Malaria, Dengue Fever, Yellow Fever, etc. Considered as a powerful tool, earth observation data has been demonstrated valuable in supporting planners to monitor climate factors and assess environmental features of various diseases to propose mitigation and prevention strategies. This session seeks for advancements in application, technology, and modelling with earth observation data to contribute exploration of climate changes and understand its impacts on public health related to anthropogenic processes, and solutions for natural and climate patterns controlling and overall prediction of vector-borne diseases for preparedness in short and long visions.
Primary Convener:  Prof. Yuei-An Liou, PhD, National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan
Convener:  Kim-Anh Nguyen, National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan
Chairs:  Reginald Archer, Tennessee State University, Department of Environmental Sciences, Nashville, United States and Kevin Czajkowski, University of Toledo, Geography and Planning, Toledo, United States
OSPA Liaison:  Chuan-Yao Lin, Academia Sinica, Taipei, Taiwan

Cross-Listed:
  • B - Biogeosciences
  • GC - Global Environmental Change
  • IN - Earth and Space Science Informatics
  • NH - Natural Hazards
Index Terms:

0493 Urban systems [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1942 Machine learning [INFORMATICS]
4330 Vulnerability [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Seunghyun Jung, Hyomin KIM and Minhee JE, KICT Korea Institute of Construction Technology, Goyang, South Korea
Chuan-Yao Lin, Yi-Yun Chien and Chiung-Jui Su, Academia Sinica, Taipei, Taiwan
Chaeyeon Park1, Dong Kun Lee2, Han Kyul Heo2 and Saekyul Ahn3, (1)Interdisciplinary program in Landscape Architecture, Seoul National University, Seoul, South Korea, (2)Seoul National University, Seoul, South Korea, (3)Seoul National University, Seoul, Korea, Republic of (South)
Jehn-Yih Juang1, Chih-Hong Sun2, Joe-Air Jiang3 and Tzai-Hung Wen2, (1)National Taiwan University, Department of Geography, Taipei, Taiwan, (2)Department of Geography, National Taiwan University, Taipei, Taiwan, (3)Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan
Kim-Anh Nguyen, National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan and Prof. Yuei-An Liou, PhD, Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan

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