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Optimal tree location model considering multi-function of tree for outdoor space - considering shading effect, shielding, openness of a tree -

옥외공간에서 수목의 다기능을 고려한 최적의 배식 위치 선정 모델 - 수목의 그림자 효과, 시야차단, 개방성을 고려하여 -

  • Park, Chae-Yeon (Interdisciplinary Program in Landscape Architecture, Seoul National University) ;
  • Lee, Dong-Kun (Department of Landscape Architecture and Rural system Engineering, Seoul National University) ;
  • Yoon, Eun-Joo (Center for Social and Environmental Systems Research, National Institute for Environment Studies) ;
  • Mo, Yong-Won (Department of Forest Resources and Landscape Architect, College of Life and Applied Sciences, Yeungnam University) ;
  • Yoon, June-Ha (Department of Landscape Architecture and Rural system Engineering, Seoul National University)
  • 박채연 (서울대학교 협동과정조경학) ;
  • 이동근 (서울대학교 조경.지역시스템공학부) ;
  • 윤은주 (일본국립환경연구소 사회환경시스템 연구센터) ;
  • 모용원 (영남대학교 생명응용과학대학 산림자원 및 조경학과) ;
  • 윤준하 (서울대학교 조경.지역시스템공학부)
  • Received : 2018.10.30
  • Accepted : 2019.02.14
  • Published : 2019.04.30

Abstract

Open space planners and designers should consider scientific and quantified functions of trees when they have to locate where to plant the tree. However, until now, most planners and designers could not consider them because of lack of tool for considering scientific and quantitative tree functions. This study introduces a tree location supporting tool which focuses on the multi-objective including scientific function using ACO (Ant colony optimization). We choose shading effect (scientific function), shielding, and openness as objectives for test application. The results show that when the user give a high weight to a particular objective, they can obtain the optimal results with high value of that objective. When we allocate higher weight for the shading effect, the tree plans provide larger shadow value. Even when compared with current tree plan, the study result has a larger shading effect plan. This result will reduce incident radiation to the ground and make thermal friendly open space in the summer. If planners and designers utilize this tool and control the objectives, they would get diverse optimal tree plans and it will allow them to make use of the many environmental benefits from trees.

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Figure 1. Research Site for pilot test. (left: aerial photograph, right: model domain)

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Figure 2. Score map for shielding and openness tree functions. (score: 0∼20)

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Figure 3. Intercepted solar radiation calculation for shading. (up: building, down: tree)

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Figure 4. ACO algorithm for optimal tree location model

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Figure 5. Tree location results from the different weights simulations

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Figure 6. The variation of objective Function value(F). (x axis: iteration, y axis: F).

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Figure 7. Tree location result (scenario 3, left) and real tree location (right).

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Figure 8. shade map (building+tree) of model result (scenario 3, left) and real tree location (right)

Table 2. Input parameters

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Table 3. Functions’ weight in the three different scenarios

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Table 4. Fbest, shadow value in each scenario

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Acknowledgement

Supported by : 환경부

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