Journal of the Korean Institute of Landscape Architecture (한국조경학회지)

The Korean Institute of Landscape Architecture (한국조경학회)
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Rainfall Interception by and Quantitative Models for Urban Landscape Trees - For Seven Native Species -

도시조경수의 우수차집 효과와 계량모델 - 7개 향토수종을 대상으로 -

  • Park, Hye-Mi (Dept. of Ecological Landscape Architecture Design, Kangwon National University) ;
  • Jo, Hyun-Kil (Dept. of Ecological Landscape Architecture Design, Kangwon National University) ;
  • Kim, Jin-Young (Dept. of Ecological Landscape Architecture Design, Kangwon National University)
  • 박혜미 (강원대학교 생태조경디자인학과) ;
  • 조현길 (강원대학교 생태조경디자인학과) ;
  • 김진영 (강원대학교 생태조경디자인학과)
  • Received : 2020.12.15
  • Accepted : 2021.07.12
  • Published : 2021.09.02
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Abstract

This study developed quantitative models to estimate the rainfall interception by seven native landscape tree species based on throughfall measurements. The tree species considered in this study were Abies holophylla, Acer palmatum, Ginkgo biloba, Pinus densiflora, Pinus koraiensis, Prunus yedoensis, and Zelkova serrata, which are frequently planted in the Korea. Among these species, 35.8% of the annual precipitation was intercepted by P. koraiensis, 34.1% by A. holophylla, 31.0% by Z. serrata, 27.6% by P. densiflora, 26.9% by G. biloba, 18.6% by A. palmatum, and 18.4% by P. yedoensis. All the quantitative models showed high fitness with r2 values of 0.90-0.99. The annual rainfall interception from a tree with DBH of 20 cm were greatest with Z. serrata (5.1 m3/yr), followed by P. koraiensis (4.1 m3/yr), A. holophylla (3.1 m3/yr), G. biloba (2.8 m3/yr), P. densiflora (2.1 m3/yr), P. yedoensis (1.9 m3/yr), and A. palmatum (1.8 m3/yr) in order. Thus, evergreen tree species or those with a relatively high crown density were more effective in intercepting rainfall. In particular, the annual rainfall interception by Z. serrata was the greatest because its crown area, volume, and density were higher than those of the other species. This study pioneers in quantifying annual rainfall interception for landscape tree species in Korea. The study results can be useful for evaluating rainfall interception by landscape trees in urban greenspace design for governments and corporations.

본 연구는 국내에서 식재빈도가 높은 7개 조경수종을 대상으로 수관의 우수차집비율을 분석하고, 이를 기반으로 수종별 단목의 연간 우수차집량을 유추하는 계량모델을 마련하였다. 연구대상 수종은 느티나무, 단풍나무, 소나무, 왕벚나무, 은행나무, 잣나무, 전나무 등이었다. 수종별 수관의 평균 우수차집비율은 각각 잣나무 35.8%, 전나무 34.1%, 느티나무 31.0%, 소나무 27.6%, 은행나무 26.9%, 단풍나무 18.6%, 왕벚나무 18.4% 등의 순이었다. 계량모델의 r2은 0.90~0.99 범위로서 적합도가 높았다. 수종별 연간 우수차집량은 흉고직경 20cm 기준 느티나무가 5.1m3/주/년으로서 가장 많았고, 이어서 잣나무 4.1m3/주/년, 전나무 3.1m3/주/년, 은행나무 2.8m3/주/년, 소나무 2.1m3/주/년, 왕벚나무 1.9m3/주/년, 단풍나무 1.8m3/주/년 등의 순이었다. 수관폭 4m 기준의 경우에는 잣나무가 5.0m3/주/년으로서 가장 많았고, 이어서 전나무 4.4m3/주/년, 느티나무 4.1m3/주/년, 은행나무 3.3m3/주/년, 소나무 2.9m3/주/년, 단풍나무 2.1m3/주/년, 왕벚나무 1.9m3/주/년 등의 순으로 나타났다. 즉, 도시조경수의 연간 우수차집량은 상록수 또는 수관밀도가 높은 수종이 많은 경향이었다. 본 연구는 도시녹지의 우수차집 효과 관련 연구가 미진한 국내 현실에서, 조경수의 연간 우수차집량을 산정할 수 있는 초석을 새롭게 마련하였다. 이 연구결과는 정부, 지자체, 및 기업에서 시행하는 생태조경 사업과 관련하여 조경수의 우수차집 효과를 평가하는 공공기반기술로서 유용할 것으로 기대한다.

Keywords

Acknowledgement

본 연구는 산림청(한국임업진흥원) 산림과학기술 연구개발사업'(2017043B10-1919-BB01; 2019151D10-2123-0301)'의 지원에 의하여 이루어진 것임.

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