|Dissertation||Research for Land Use and Low Impact Development Planning and Adaptation Decesion-making under Climate Change for a Sustainable Rural Community永續農村社區土地利用與低衝擊開發規劃暨氣候變遷調適決策之研究|
|Abstract||This study targets on the resilience of a community under the impact of extreme rainfall and temperature. A systematic procedure of adaptation is proposed. To facilitate adaptation decision-making, related approach including hourly-rainfall weather generator, risk assessment model, spatial optimization planning, and adaptation pathway are adopted or developed. Moreover, the procedure of decision-making is applied to a design case using weather data of Hsinchu, Taiwan, to demonstrate the steps needed for risk assessment and to resilience enhancement of a community. The developed weather generator is used to generate hourly rainfall and temperature for the scenario of climate change, to better understand the possible impact of extreme weather on the local drainage and microclimate system. With the measured and projected weather data, the risk assessments for current and future scenario are conducted. In this study, EPA Storm Water Management Model (SWMM) is used for hydrological simulation and ENVI-met is used for microclimate simulation. Considering using decentralized and on-site adaptation strategy, the study focuses on the spatial planning of the Green Infrastructure (GI) and the land use. Therefore, a model of spatial optimization planning is proposed, which aims at identifying the optimal allocation of the GI and the land use. Furthermore, the attempt is to generalize the influence of GI and land use design on the mitigation of floods and heat waves. Based on these efficacy analyses, an adaptation pathway can be build up for further implantations of the adaptation plan. The expected result of the weather generator is to reproduce storm events in the future which appropriately hold its local features. For the simulation of flood depth and human comfort, the result of the risk assessment is expected to be reliable given appropriate setups and parameters.Combined with SWMM and ENVI-met, the spatial optimization model prioritizes the configuration of GI and land use and gives suggestions on the adaptation strategies. These results are then used for clarifying the importance of different GI and land use locations on climate change adaptation, which is supposed to be helpful in more efficiently planning of GI and land use.