Evaluate the Influence of Green Infrastructure with Agent-based Model in Upper Huron River Watershed
Abstract
With the growing awareness of the important relationship between human and nature, it is necessary to consider decentralized flood mitigating measures other than dams. Green infrastructures (GI), such as rain gardens, green roofs and rain barriers, are popular decentralized ways to reduce flood damage. When considering quantitative analysis of GI mitigating effect, most of previous studies did not incorporate human decisions on GI implement. The agent-based model is a good fit for this propose to evaluate the mitigating effect in the real world because it can represent the natural environment and human components explicitly while connecting them in a closed loop via information exchange. In this study, we define agents as residents in each township of the Upper Huron River Watershed (Michigan USA) and their objectives are making decisions on GI implementation to mitigate the local flood damage. Each agent can decide which GI they want to invest at the monthly time scale. By using results from a survey, this study analyses the change of human's attitude towards investing the green infrastructures before and after knowing the future flood risk they will suffer, and then evaluates the reduced damage cost after people using the mitigation measures. Analyzing both the differences in flood cost and people's attitude changes in each sub-watershed, this study can visualize the decentralized flood mitigation effects in the entire study area.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.H51U1609Y
- Keywords:
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- 0493 Urban systems;
- BIOGEOSCIENCESDE: 1830 Groundwater/surface water interaction;
- HYDROLOGYDE: 1847 Modeling;
- HYDROLOGYDE: 1871 Surface water quality;
- HYDROLOGY