Ongoing
Projects
This page summarizes ongoing research projects. For completed studies, please refer to "Publications."
Factors influencing near-surface microclimate temperature in the urban setting
Utilizing year-long near-surface microclimate and surface temperature data, this study investigates the interaction between surface temperature, weather parameters, and microclimate temperature at a permeable surface site and an impervious site.
Investigating factors affecting green infrastructure effectiveness using remote sensing
The beneficial effect of green infrastructure (GI) on mitigating urban heat islands is well-known. Taking one step further, this study investigates the environmental factors affecting the effectiveness of GI in Taipei. Using areas affected by only one GI, each GI's environmental indices are analyzed against its temperature reduction by employing multiple linear regression.
Flood investigation in Uganda
The Kasese District in Uganda experienced a devastating flood in 2020. Due to the lack of field data, estimating the actual agricultural loss from the flood is difficult. The goal of this study is two-fold: 1) Coupling HEC-HMS and HEC-RAS to estimate the spatial extent and depth of the flood in the affected area, 2) Based on the actual agricultural loss (converted from flood depth), investigate the accuracy of NDVI (based on multispectral sensors) and RVI (based on radar sensor) in estimating agricultural loss.
Optimizing Vertical Structure of Permeable Pavement
This study aims to optimize the vertical structure of permeable pavement to reach the dual goal of low water retention and high temperature mitigation. Specifically, the permeable pavement contains the following layers from top to bottom: permeable paver, permeable mortar, permeable concrete, aggregate, and native soil. The vadose zone model of HYDRUS is used to estimate water retention and surface temperature based on different layer thickness combinations.
Comparative Study of Urban Heat Island in Taipei and Beijing
This collaboration is between Beijing Industrial University and the National Taipei University of Technology. We will use ENVI-met and ANSYS-fluent to simulate selected days in four seasons in both Beijing and Taipei. Satellite thermal images will be used to verify the accuracy of simulations. The goal is to investigate the influence of climate, urban space, and season on both day- and night-time urban heat islands.
The Energy Saving Benefit of Permeable Pavers
This study investigates the energy-saving benefits of permeable pavers in the current and future climate scenarios (considering both temperature and rainfall variation in the future). The relationship between near-surface microclimate and paver surface temperature is exacted from the result of another study. Assuming the microclimate air temperature directly influences the energy consumption of buildings, the building energy consumption analysis model of eQUEST is used to calculate the energy saving from installing permeable pavers at different seasons for different buildings under different climate scenarios.
