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Simulating Carbon Storage Dynamics of Trees on the Artificial Ground

시뮬레이션을 통한 인공지반 교목의 탄소저장량 변화

  • You, Soo-Jin (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University) ;
  • Song, Ki-Hwan (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University) ;
  • Park, Samuel (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University) ;
  • Kim, Se-Young (Korea Rural Community Corporation) ;
  • Chon, Jin-Hyung (Division of Environmental Science and Ecological Engineering, Korea University)
  • 유수진 (고려대학교 대학원 환경생태공학과) ;
  • 송기환 (고려대학교 대학원 환경생태공학과) ;
  • 박사무엘 (고려대학교 대학원 환경생태공학과) ;
  • 김세영 (한국농어촌공사 전북지역본부 사업계획부) ;
  • 전진형 (고려대학교 환경생태공학부)
  • Received : 2016.12.28
  • Accepted : 2017.02.24
  • Published : 2017.04.30

Abstract

To successfully create a low-carbon landscape in order to become a low-carbon city, it is necessary to understand the dynamics of artificial greening's resources on a multi-scale. Additionally, the effects of carbon storage should be quantitatively evaluated. The purpose of this study is to simulate and evaluate the changes in carbon storages of artificial ground trees using system dynamics throughout a long-term period. The process consisted of analyzing the dynamics of the multi-scale carbon cycle by using a casual loop diagram as well as simulating carbon storage changes in the green roof of the Gangnam-gu office building in 2008, 2018, 2028, and 2038. Results of the study are as follows. First, the causal loop diagram representing the relationship between the carbon storage of the artificial ground trees and the urban carbon cycle demonstrates that the carbon storage of the trees possess mutual cross-scale dynamics. Second, the main variables for the simulation model collected 'Biomass,' 'Carbon storage,' 'Dead organic matter,' and 'Carbon absorption,'and validated a high coefficient of determination, the value being ($R^2$=0.725, p<0.05). Third, as a result of the simulation model, we found that the variation in ranking of tree species was changing over time. This study also suggested the specific species of tree-such as Acer palmatum var. amoenum, Pinus densiflora, and Betula platyphylla-are used to improve the carbon storage in the green roof of the Gangnam-gu office building. This study can help contribute to developing quantitative and scientific criteria when designing, managing, and developing programs on low-carbon landscapes.

저탄소 도시 실현의 대안으로써 저탄소경관을 창출하기 위해서는 다중 스케일 차원에서 디자인 요소들의 동태성을 이해해야 하며, 탄소 저장효과를 정량적으로 평가할 수 있어야 한다. 본 연구의 목적은 시스템 다이내믹스를 활용하여 인공지반 교목의 탄소저장량 변화를 장기적인 측면에서 시뮬레이션하고 평가하는 것이다. 연구의 과정은 인과지도를 통해 다중 스케일 측면에서 탄소순환의 동태성을 분석하고, 강남구청 본관 옥상공원의 탄소저장량에 대하여 2008년, 2018년, 2028년, 2038년의 변화를 시뮬레이션하였다. 연구의 결과는 다음과 같다. 첫째, 인공지반 교목과 도시 탄소순환 탄소저장량의 관계에 대한 인과지도 분석결과, 다중 스케일간의 관계성이 확인되었다. 둘째, 시뮬레이션 모델의 주요변수는 '바이오매스', '탄소저장량', '고사유기물', '탄소흡수량'이 선정되어 모델에 활용되었으며, 적합도는 $R^2=0.725$(p<0.05)로 유의한 것으로 나타났다. 셋째, 시뮬레이션 모델 결과, 인공지반 교목의 탄소저장량은 시간의 흐름에 따라 수종의 순위가 다양하게 변하였다. 이에 따라 본 연구에서는 홍단풍, 소나무, 자작나무와 같은 수종을 강남구청 본관 옥상공원의 탄소저장량 향상을 위한 수종으로 제안하였다. 이러한 연구 결과는 저탄소경관 계획 시 식재계획의 기준안 또는 수종 선택에 기여할 수 있을 것이다.

Keywords

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