EGU22-2982
https://doi.org/10.5194/egusphere-egu22-2982
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hotspot identification using high-resolution floating population.

Je-Woo Hong and Jin Han Park
Je-Woo Hong and Jin Han Park
  • Korea Adaptation Center for Climate Change, Korea Environment Institute, Sejong-Si, Korea, Republic of (jwhong@kei.re.kr)

Using high-resolution floating population (50 m) data, heatwave hotspots in a city (Gimhae, Gyeongsangnam-do Province) in Korea are identified. So far many assessment tools (ex., VESTAP for vulnerability and MOTIVE for potential impact in Korea) show only low-resolution results (>1 km, or one result for administrative district). Therefore, most stakeholders for adaptation have difficulty making a decision such as a location decision for a new cooling center and/or shelter for citizens. Simply, we overlap GIS data including a daytime (11:00-16:00) floating population (50 m) based on mobile communication volume, vegetated area and in-land water with 100 m of effective radius, and location of cooling centers with 300 m effective radius. As a result, we find 20 priority locations for heatwave hotspots in a city. This study is supported by “Basic Study on Improving Climate Resilience” (2021-001-03), conducted by the Korea Environment Institute (KEI) upon the request of the Korea Ministry of Environment.

How to cite: Hong, J.-W. and Park, J. H.: Hotspot identification using high-resolution floating population., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2982, https://doi.org/10.5194/egusphere-egu22-2982, 2022.