A Green Infrastructure Approach through Carbon Cycle Analysis and Decision Support
- 1Department of Environmental Science & Ecological Engineering, Korea University, Seoul, Korea, Republic of (vlfrkarhd@gmail.com)
- 2School of Environmental Engineering, University of Seoul, Dongdaemun-gu, Seoul 02504, the Republic of Korea (slee2020@uos.ac.kr)
- 3Department of Environmental Engineering, University of Seoul, Dongdaemun-gu, Seoul 02504, the Republic of Korea (slee2020@uos.ac.kr)
- 4Division of Environmental Science & Ecological Engineering, College of Life Sciences & Biotechnology, Korea University, Seoul, Korea, Republic of (archjung@korea.ac.kr)
Due to climate change, abnormal weather conditions such as floods, droughts, heavy snow, and heatwaves are escalating globally. Recent climate observations and model predictions indicate a trend toward more frequent and intense extreme climate events in the near future, attributed to anthropogenic greenhouse gas emissions. When floods occur, they simplify the habitats of ecosystems, leading to a reduction in diversity and water quality pollution. Basin ecosystems play a crucial role in carbon absorption, mitigation, and providing habitats for plants and animals. Therefore, it is imperative that plants, soil, and wetlands within the watershed ecosystem absorb and sequester carbon from the atmosphere to decrease greenhouse gas concentrations. Consequently, there is a necessity for research on decision support tools capable of identifying and analyzing the factors influencing carbon circulation during a flood.
The primary objective of this study is to develop a decision support tool for green infrastructure (GI) planning in watershed ecosystems to enhance resilience against climate change. The tool will help identify and analyze factors affecting the carbon cycle during flood events and enable the creation of GIs that support the carbon cycle.
The expected results from the study combine positive factors that can lead to various positive and combining factors, so future research can create scenarios through combinations of factors. The scenarios created can result in GIs that can perform ad hoc tasks by choosing more efficient configurations.
References
Michael W. Strohbach, Eric Arnold, Dagmar Haase. The carbon footprint of urban green space—A life cycle approach. Landscape and Urban Planning, Volume 105, Issue 4, 30 April 2012, Pages 445
※ This work was supported by the Core Research Institute Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2021R1A6A1A10045235).
※ This work was supported by Korea Environment Industry &Technology Institute (KEITI) through "Climate Change R&D Project for New Climate Regime.", funded by Korea Ministry of Environment (MOE) (2022003570003)
How to cite: Bi, J., Lee, S., and Lee, J.: A Green Infrastructure Approach through Carbon Cycle Analysis and Decision Support, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20157, https://doi.org/10.5194/egusphere-egu24-20157, 2024.
