THESIS
2017
xi, 105 pages : color illustrations, color maps ; 30 cm
Abstract
This study investigates the evolution of climatological impacts due to urbanization in Pearl
River Delta (PRD) region, China during summer season. Land use data representing 1990s, 2000s
and 2010s are obtained by classifying the land use from satellite images with machine learning
techniques. This classification standards follows the guideline of land use classification from World
Urban Database and Access Portal Tools (WUDAPT). Prior to the model simulation, remapping of
WUDAPT land use categorization to USGS land use classification was done. Weather Research
and Forecast model (WRF) was applied afterwards under the same initial and boundary conditions
with respect to different land use data. Spatial comparison and statistical analysis showed a general
increase in temperature a...[
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This study investigates the evolution of climatological impacts due to urbanization in Pearl
River Delta (PRD) region, China during summer season. Land use data representing 1990s, 2000s
and 2010s are obtained by classifying the land use from satellite images with machine learning
techniques. This classification standards follows the guideline of land use classification from World
Urban Database and Access Portal Tools (WUDAPT). Prior to the model simulation, remapping of
WUDAPT land use categorization to USGS land use classification was done. Weather Research
and Forecast model (WRF) was applied afterwards under the same initial and boundary conditions
with respect to different land use data. Spatial comparison and statistical analysis showed a general
increase in temperature and heat index, and also deceleration of wind speed due to urbanization.
The increase in temperature would interrupt the occurance and patterns of wind-circulation, such
as land-sea breeze and rural-urban breeze. Moreover, simulation shows that the sensible heat flux
is increased in urbanized area due to stronger absorption in downwards longwave radiation, while
the latent heat flux decreased due to less vegetation and existence of impervious surface.
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