[논문]Analyzing the Evolution of Summer Thermal Anomalies in Busan Using Remote Sensing and Spatial Statistical Tool

Njungwi, Nkwain Wilfred; Lee, Daeun; Kim, Minji; Jin, Cheonggil; Choi, Chuluong

doi:10.7780/kjrs.2021.37.4.1

Analyzing the Evolution of Summer Thermal Anomalies in Busan Using Remote Sensing and Spatial Statistical Tool 원문보기

대한원격탐사학회지 = Korean journal of remote sensing, v.37 no.4, 2021년, pp.665 - 685

Njungwi, Nkwain Wilfred (Division of Earth Environmental System Science (Major of Spatial Information Engineering), Pukyong National University) , Lee, Daeun (College of Environmental and Marine Sciences and Technology, Spatial Information Engineering, Pukyong National University) , Kim, Minji (College of Environmental and Marine Sciences and Technology, Spatial Information Engineering, Pukyong National University) , Jin, Cheonggil (Division of Earth Environmental System Science (Major of Spatial Information Engineering), Pukyong National University) , Choi, Chuluong (College of Environmental and Marine Sciences and Technology, Spatial Information Engineering, Pukyong National University)

Abstract ▼ AI-Helper

This study focused on the a 20-year evaluation of the dynamism of critical thermal anomalies in Busan metropolitan area prompted by unusual infrastructural development and demographic growth rate. Archived Landsat thermal data derived-LST was the major input for UTFVI and hot spot analysis (Getis-Ord Gi*). Results revealed that the surface urban heat island-affected area has gradually expanded overtime from 23.32% to 32.36%; while the critical positive thermal anomalies (level-3 hotspots) have also spatially increased from 19.88% in 2000 to 23.56% in 2020, recording a net LST difference of > 5℃ between the maximum level-3 hotspot and minimum level-3 coldspot each year. It is been observed that thermal conditions of Busan have gradually deteriorated with time, which is potentially inherent in the rate of urban expansion. Thus, this work serves as an eye-opener to powers that be, to think and act constructively towards a sustainable thermal conform for city dwellers.

주제어

표/그림 (15)

그림 Fig. 1. The map of Busan city of South Korea.
표 Table 1. Specifications of Landsat datasets used in this study
표 Table 2. Categories of UTFVI and corresponding rating of SUHI and ecological evaluation index (EEI)
표 Table 3. Thermal anomaly classification based on Getis-Ord Gi* statistical method
그림 Fig. 2. Spatial distribution of summer LST in various years.
그림 Fig. 3. Busan's NDVI maps for summer a) 2000, b) 2007, c) 2014, d) 2020.
그림 Fig. 4. Behavioral pattern of LST and UTFVI over these years.
그림 Fig. 5. Spatial distribution of summer UTFVI in various years.
표 Table 4. Descriptive statistics of LST values and derived UTFVI
그림 Fig. 6. Percentage representation of UTFVI classes across study area with these years.
표 Table 5. Percentage coverage area of UTFVI classes over the study area in each of four years
그림 Fig. 7. Spatial distribution of thermal anomalies in various years.
표 Table 6. Percentage spatial coverage of thermal anomaly classes and corresponding LST values
그림 Fig. 8. Spatial variation of summer daytime thermal anomalies in various years.
표 Table 6. Continued

AI 본문요약
AI-Helper

제안 방법

This study aims to provide a potential leeway for stakeholders in Busan to understand and strategize on sustainable management of summer daytime thermal conditions alongside urbanization in the metropolitan area; via remote sensing and spatial statistical tools. This entails using Landsat thermal data for the month of August 2000, 2007, 2014 and 2020 to retrieve land surface temperature and compute the urban thermal field variance index (UTFVI); in order to understand the spatiotemporal evolution of the surface urban heat island effect. Besides, to ascertain the results by performing a hot spots analysis (Getis-Ord Gi*), such as to elucidate the genesis and spatial distribution of thermal anomalies over these years.

이론/모형

The derived reflectance is used to calculate the NDVI (Normalized Difference Vegetation Index) required to evaluate the proportion of vegetation and finally determine the emissivity.

성능/효과

The output maps of the LST, UTFVI and Hot spot analysis (Getis-Ord Gi*) have demonstrated similar spatial orientations of thermal signatures over these years. Besides, the quantitative analysis has revealed significant progress in surface expansion of thermal anomalies from 2000 to 2020, thus it can be ascertained that continuous urbanization literally impacts the thermal conditions of Busan metropolitan area. Consequently, general city dwellers town planners and policy makers can take dispositions of resilience and mitigation over warming.
Consequently, general city dwellers town planners and policy makers can take dispositions of resilience and mitigation over warming. Furthermore, this result reveals the magnitude and rate of deterioration of thermal comfort in Busan which entails that the government should foresee sustainable dispositions to abate associated consequences like high energy consumption (due to cooling) and heat-related health constraints.

후속연구

This entails using Landsat thermal data for the month of August 2000, 2007, 2014 and 2020 to retrieve land surface temperature and compute the urban thermal field variance index (UTFVI); in order to understand the spatiotemporal evolution of the surface urban heat island effect. Besides, to ascertain the results by performing a hot spots analysis (Getis-Ord Gi*), such as to elucidate the genesis and spatial distribution of thermal anomalies over these years.
Besides, the quantitative analysis has revealed significant progress in surface expansion of thermal anomalies from 2000 to 2020, thus it can be ascertained that continuous urbanization literally impacts the thermal conditions of Busan metropolitan area. Consequently, general city dwellers town planners and policy makers can take dispositions of resilience and mitigation over warming. Furthermore, this result reveals the magnitude and rate of deterioration of thermal comfort in Busan which entails that the government should foresee sustainable dispositions to abate associated consequences like high energy consumption (due to cooling) and heat-related health constraints.
This study aims to provide a potential leeway for stakeholders in Busan to understand and strategize on sustainable management of summer daytime thermal conditions alongside urbanization in the metropolitan area; via remote sensing and spatial statistical tools. This entails using Landsat thermal data for the month of August 2000, 2007, 2014 and 2020 to retrieve land surface temperature and compute the urban thermal field variance index (UTFVI); in order to understand the spatiotemporal evolution of the surface urban heat island effect.

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동의어: Packet Collision Rate

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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