• Title/Summary/Keyword: Carbon cycle town

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Analysis of Water Cycle Effect by Plan of LID-decentralized Rainwater Management Using SWMM-LID Model in a Low-carbon Green Village (SWMM-LID를 이용한 저탄소 녹색마을의 LID-분산형 빗물관리 계획에 따른 물순환 효과 분석)

  • Lee, Jung-Min;Hyun, Kyoung-Hak;Lee, Yun-Sang;Kim, Jung-Gon;Park, Yong-Boo;Choi, Jong-Soo
    • Land and Housing Review
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    • v.2 no.4
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    • pp.503-507
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    • 2011
  • There was a plan to develop a low-carbon green village(approximately $400,000m^2$) in A city, a new town. Restoration of water cycle is essential for creation of the low-carbon green village. Therefore, installation plan of LID-decentralized rainwater management facilities for natural water cycle was established for creation of the low-carbon green village. Analyses on effect of the water cycle were performed in conditions of before, after developing the low-carbon green village and after installing the LID facilities(rain garden, constructed wetland, rainwater harvesting facility, etc.) using SWMM-LID model developed by EPA. Due to the characteristic of permeable area before development and significant green spaces after development, installation plan of LID facilities to restore the water cycle did not show an obvious effect. However, potential of the hydrological cycle could be seen by the installation of the LID facilities.

An Analysis of Residents' Perception on District Heating in the Village Unit Using Forest Biomass - Focused on the Case of Forest Carbon Circulation Village in Hwacheon - (산림바이오매스 이용 마을단위 지역난방에 관한 주민 인식 분석 - 화천 산림탄소순환마을 사례를 중심으로 -)

  • Ryu, Sun-Hwa;Kim, Seong-Hak
    • Journal of Environmental Science International
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    • v.29 no.4
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    • pp.339-349
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    • 2020
  • This study aims to identify participating resident awareness of the improvements to forest carbon cycle villages created by the Korea Forest Service by introducing a system for district heating basedon forest biomass in mountainous areas. Hwacheon Forest Carbon Circulation village was established in Paroho-neureup village in Yuchon-ri, Hwacheon-gun between 2011 and 2013. However, its operation has not been smooth due to the increasing number of households rapidly leaving the district heating system. This study surveyed 76 households that participated in the district heating system using forest biomass in the early stages of the project. This includes households participating in the district heating system(participating households) and households not currently participating in the district heating system(withdrawal households) from September 2019. Surveys focused on the process of participating in forest carbon cycle village projects, and satisfaction in local heating and policy requirements. Of the 67 households, excepting those not allowed to participate in the survey due to death or having moved elsewhere, 36 households participated and 31 households the were in the process of leaving the village were also included. As a result, there was a significant difference between participating and exiting households in the motivation and satisfaction level of district heating. The results of this study are expects to reflect the importance of awareness of residents in the operation of the forest carbon cycle village. This will be utilized as an important dataset for improvement as a means to promote the re-entry if outgoing households. It will also help set the direction of the forest town revitalization project, utilizing forest biomass in the future.

Inventory of Carbon Dioxide Emission in Carbon Cycle Community (The case study on Gyeongbuk Bonghwa-gun Chunyang-myeon Seobyeok-ri) (탄소순환마을의 이산화탄소배출량 조사연구 (경상북도 봉화군 춘양면 서벽리를 중심으로))

  • Kim, Hyo-Jin;Byun, Woo-Hyuk;Lim, Min-Woo;Park, Won-Kyoung;Kim, Min-Su
    • Journal of Korean Society of Forest Science
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    • v.99 no.4
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    • pp.597-602
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    • 2010
  • The most basic matter to establish forest carbon circulation village is statistic on greenhouse gas emissions. But currently, although there is statistic on greenhouse gas emissions in the level of city or province, there is not statistic on greenhouse gas emission in village unit. According to the results, The model area is located in Seobyeok-ri, Chunyang-myeon, Bonghwa-gun, Gyeongsangbuk-do, the total $CO_2$emissions caused by energy used in the model area was $1,755tCO_2$. Heating accounts for 55% of total emissions followed by 23% for power and 22% for vehicles. The model area emitted $572tCO_2$ due to rice growing and livestock raising, accounting for approximately 24.5% of total $CO_2$ emissions. It is expected that a reduction of as much as $884tCO_2$ emissions will be made from the current $964tCO_2$ to a level of 1/12th that amount, or $80tCO_2$ by replacing heating energy currently used in the model area with wood bioenergy such as wood chips or pellets. In addition, carbon emission reduction is expected for both heating and power by replacing the power consumption in houses, buildings, and street lights with solar power.

Development of System for Calculating Carbon Storage Amount of Roadside Tree Using Mobile Mapping System (멀티센서 융합 측위 시스템을 이용한 가로수 탄소저장량 산정 시스템 개발)

  • Kim, Jeong-Seob;Yang, Keum-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.536-543
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    • 2017
  • This study developed a new methodology to evaluate the carbon storage using a Mobile Mapping System according to the life cycle of street trees. The system for calculating the carbon storage of a roadside tree using the MMS developed in this study consisted of a database, memory, processor, user interface, and communication module. The carbon storage was calculated for 261 trees in the Cheonan-Asan New Town (distance: 2.1 km, area: $283,698m^2$). The average biomass and carbon storage of Metasequoia glyptostroboides were highest at 34.5 kg and 17.3 kg C and Chionanthus retusa were lowest at 19.5 kg and 9.8 kg C, respectively. The total biomass and total carbon storage of Ginkgo biloba were highest at 5028.8 kg and 17.3 kg C and Chionanthus retusa were lowest at 780.7 kg and 390.3 kg C, respectively. Based on the roadside tree database, the amount of carbon storage in a given area was converted to Google format and visualized in 3D by GIS analysis.