한국지리정보학회지 (Journal of the Korean Association of Geographic Information Studies)

  • 제27권2호
  • /
  • Pages.61-77
  • /
  • 2024
  • /
  • 1226-9719(pISSN)
  • /
  • 2287-6952(eISSN)
한국지리정보학회 (The Korean Association of Geographic Information Studies)
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UAV 기반 도시 공간의 열 쾌적성 평가기법 개발

Development of a UAV-Based Urban Thermal Comfort Assessment Method

  • 김성현 (창원대학교 산업기술연구원) ;
  • 송봉근 (창원대학교 산업기술연구원 ) ;
  • 박경훈 (창원대학교 스마트그린공학부)
  • Seounghyeon Kim (Institute of Industrial Technology, Changwon National University) ;
  • Bonggeun Song (Institute of Industrial Technology, Changwon National University) ;
  • Kyunghun Park (School of Smart Green Engineering, Changwon National University)
  • 투고 : 2024.05.28
  • 심사 : 2024.06.19
  • 발행 : 2024.06.30
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초록

본 연구는 무인항공기(Unmanned Aerial Vehicle, UAV) 기반 데이터를 사용하여 도시 열 쾌적성을 신속하게 진단하는 방법을 개발하는 것을 목표로 수행하였다. 연구 대상지는 경상남도 창원시에 위치한 창원대학교 공과대학 부지 및 용지공원을 대상으로 수행하였으며, 기초자료 구축에는 현장측정 및 UAV를 활용하였다. 세부적으로 현장측정 기반 열 쾌적성 지수 PET, UTCI를 산출하였으며, UAV를 활용하여 식생지수(NDVI), 하늘시계지수(SVF) 및 지표면 온도(LST) 영상을 제작 후 분석에 활용하였다. 연구결과, UAV 기반 예측된 PET와 UTCI는 각 유의수준 1% 이내에서 0.662, 0.721의 높은 상관관계를 보이는 것을 확인하였다. 예측 모델의 설명력은 PET 43.8%, UTCI 52.6%로 도출되었으며, RMSE는 PET 6.32℃, UTCI 3.16℃로 나타나 UAV 기반 열 쾌적성 평가 시 UTCI 지수를 활용하는 것이 더 적합한 것으로 도출되었다. 본 연구에서 개발된 방법은 기존 접근 방식에 비해 상당한 시간 절약 이점을 제공하여 실시간 도시 열 쾌적성 평가 및 완화 계획에 활용될 수 있을 것으로 판단된다.

The purpose of this study was to develop a method for rapidly diagnosing urban thermal comfort using Unmanned Aerial Vehicle (UAV) based data. The research was conducted at Changwon National University's College of Engineering site and Yongji Park, both located in Changwon, Gyeongsangnam-do. Baseline data were collected using field measurements and UAVs. Specifically, the study calculated field measurement-based thermal comfort indices PET and UTCI, and used UAVs to create and analyze vegetation index (NDVI), sky view factor (SVF), and land surface temperature (LST) images. The results showed that UAV-predicted PET and UTCI had high correlations of 0.662 and 0.721, respectively, within a 1% significance level. The explanatory power of the prediction model was 43.8% for PET and 52.6% for UTCI, with RMSE values of 6.32℃ for PET and 3.16℃ for UTCI, indicating that UTCI is more suitable for UAV-based thermal comfort evaluation. The developed method offers significant time-saving advantages over traditional approaches and can be utilized for real-time urban thermal comfort assessment and mitigation planning

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과제정보

이 논문은 2023~2024년도 창원대학교 자율연구과제 연구비 지원으로 수행된 연구결과임.

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