Spatial Information Research

Korea Spatial Information Society (대한공간정보학회)
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A Study on Estimation of the Greenhouse Gas Emission from the Road Transportation Infrastructure Using the Geostatistical Analysis -A Case of the Daegu-

공간통계기법을 이용한 도로교통기반의 온실가스 관한 연구 -대구광역시를 대상으로-

  • Lee, Sang Woo (Department of Spatial Information, Kyungpook National University) ;
  • Lee, Seung Wook (Department of Spatial Information, Kyungpook National University) ;
  • Lee, Seung Yeob (School of Architecture, Gyeongju University) ;
  • Hong, Won Hwa (School of Architecture and Civil Engineering, Kyungpook National University)
  • Received : 2012.08.13
  • Accepted : 2014.02.20
  • Published : 2014.02.28
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Abstract

This study was intended to reliably predict the traffic green house gas emission in Daegu with the use of spatial statistical technique and calculate the traffic green house gas emission of each administrative district on the basis of the accurately predicted emission. First, with the use of the traffic actually surveyed at a traffic observation point, and traffic green house gas emission was calculated. Secondly, on the basis of the calculation, and with the use of Universal Kriging technique, this researcher set a suitable variogram modeling to accurately and reliably predict the green house gas emission at non-observation point suitable through spatial correlation, and then performed cross validation to prove the validity of the proper variogram modeling and Kriging technique. Thirdly, with the use of the validated kriging technique, traffic green gas emission was visualized, and its distribution features were analyzed to predict and calculate the traffic green house gas emission of each administrative district. As a result, regarding the traffic green house gas emission of each administration, it was found that Bukgu had the highest green house gas emission of $291,878,020kgCO_2eq/yr$.

본 연구는 대구광역시의 주요도로를 대상으로 공간통계기법을 이용하여 도로교통 온실가스 배출량을 신뢰성있게 예측하여 추정된 배출량으로 행정구별에 따라 도로교통에서 발생한 온실가스 배출량을 산정하는 것을 목적으로 하였다. 첫째, 주요도로의 교통량 관측지점에서 실시간으로 조사한 교통량을 이용하여 관측지점에서 발생한 온실가스 배출량을 산정하였다. 둘째, 일반 크리깅(Universal Kriging)기법을 이용하여 공간적 상관성에 의해 미 관측지점의 온실가스 배출량을 신뢰성 있게 추정하기 위해 적합한 베리오그램 모델링을 설정하였다. 이에 교차검증을 통하여 적합한 베리오그램 모델과 크리깅 기법의 타당성을 검증하였다. 셋째, 검증된 크리깅 기법으로 미 관측지점의 도로교통에서 발생한 온실가스 배출량을 예측하여 행정구별로 도로교통 온실가스 배출량을 추정하여 산정하였다. 그 결과, 도로교통 온실가스 배출량을 행정구별로 보면 북구가 약 $291,878,020kgCO_2eq/yr$로 가장 많은 온실가스를 배출하는 것으로 나타났다.

Keywords

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