The application of Smart Temperature and environment Observation Network in Kaohsiung (STONK) : the relationship between local air temperature and land use

Abstract

In the process of global urban development the growth of the population makes the urban scope continue to expand land use changes resulting in the rise of urban heat pressure affecting the human thermal comfort and living space Therefore urban monitoring data has become an important project in many researches The scale and coverage of urban climate monitoring network depends on the spatial scope and form of the city and its scale and scope will affect human and time costs especially in data collection and processing So in this study will using Internet of things (IoT) into the high-density monitoring network to facilitate the future development of smart cities In the past studies of urban climate in Taiwan the cities in southern Taiwan include Tainan Chiayi and Kaohsiung In this study Kaohsiung was selected as the research object because it an important industrial town in southern Taiwan and the second largest city in Taiwan with multiple natural landforms and urban forms There have been environmental documents on Kaohsiung's urban heat island obtaining climate data from existing central weather stations or setting up high-density measurement network but the scope of its research is limited to the old Kaohsiung City (Kaohsiung City before the merger of the administrative districts of Kaohsiung County) so this study will expand the scope of research to Kaohsiung Metropolitan Area by Smart Temperature and Environment Observation Network in Kaohsiung (STONK) collected nearly a year's temperature data for analysis presented urban climate maps through GIS tools and identified heat island phenomena on various days and nights In the temperature data analysis collected by Kaohsiung's dense monitoring network it is shown that the performance of high and low temperature is related to the day and night alternating and there are four typical temperature characteristic groups namely "Day high and Night high group" "Day and Night low group" "Day high and Night low group" "Day low and Night hight group" and the most relevant with geographical location and land use

Date of Award	2020
Original language	English
Supervisor	Tzu-Ping Lin (Supervisor)