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한국환경복원기술학회> 한국환경복원기술학회지 (환경복원기술)

한국환경복원기술학회지 (환경복원기술) update

Journal of the Korea Society of Environmental Restoration Technology

  • : 한국환경복원기술학회
  • : 공학분야  >  환경공학
  • : KCI등재
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  • : 연속간행물
  • : 격월
  • : 1229-3032
  • : 2733-5011
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수록정보
수록범위 : 1권1호(1998)~25권6호(2022) |수록논문 수 : 1,323
한국환경복원기술학회지 (환경복원기술)
25권6호(2022년 12월) 수록논문
최근 권호 논문
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KCI등재

저자 : 최재용 ( Choi Jaeyong ) , 김수진 ( Kim Su-jin ) , 정휘철 ( Jung Huicheul ) , 김성열 ( Kim Sung-yeol ) , 문건수 ( Moon Geon-soo )

발행기관 : 한국환경복원기술학회 간행물 : 한국환경복원기술학회지 (환경복원기술) 25권 6호 발행 연도 : 2022 페이지 : pp. 1-11 (11 pages)

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Recently, climate change has been regarded as a major cause of large-scale forest fires worldwide, and there is concern that more frequent and severe forest fires will occur due to the level of greenhouse gas emissions. In this study, the daily Keetch and Byram Drought Index (KBDI) of the Baekdudaegan in Chungcheong region including Sobaeksan, Songnisan, and Woraksan National Parks were calculated to assess effect of climate change on the forest fire potential- severity of annual maximum KBDI and frequency of high KBDI days. The present (2000~2019) and future KBDI(2021~2040, 2041~2060, 2081~2090) were calculated based on the meteorological observation and the ensemble regional climate model of the SSP1-2.6 and SSP5-8.5 scenarios with a spatial resolution of 1-km provided by Korea Meteorological Administration(KMA). Under the SSP5-8.5 scenario, 6.5℃ increase and 14% precipitation increase are expected at the end of the 21st century. The severity of maximum daily KBDI increases by 48% (+50㎜), and the frequency of high KBDI days (> 100 KBDI) increases more than 100 days, which means the high potential for serious forest fires. The analysis results showed that Songnisan National Park has the highest potential for forest fire risk and will continue to be high in intensity and frequency in the future. It is expected that the forest vulnerability of the Baekdudaegan in the Chungcheong region will greatly increase and the difficulty in preventing and suppressing forest fires will increase as the abundance of combustible materials increases along with climate changes.

KCI등재

저자 : 김성열 ( Kim Sung-yeol ) , 문건수 ( Moon Geon-soo ) , 김수진 ( Kim Su-jin ) , 권혁수 ( Kwon Hyuksoo ) , 최재용 ( Choi Jaeyong )

발행기관 : 한국환경복원기술학회 간행물 : 한국환경복원기술학회지 (환경복원기술) 25권 6호 발행 연도 : 2022 페이지 : pp. 13-24 (12 pages)

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The purpose of this study is to evaluate the applicability of Ecosystem Service Matrix method in Songnisan and Hannamgeumbukjeongmaek Boeun-gun area. The assessment was carried out with 25 land cover types by 7 ecosystem values. The research area was divided by 30m x 30m cell unit and the each cell value was classified into 5 grades. The total number of cell under the investigation was 433,910 units in Songnisan and 84,975 in Boeun-gun. Class I and II area were widely spread and Class V area is narrowly distributed inside of Class III area in Songnisan. I area, II area and separately managed zone belong to Ecological Zoning map and Environmental Conservation Value Assessment Map(Environment + Ecology) were assessed Class I in Ecosystem service matrix. In conclusion, Ecosystem Service Matrix assessment based on land cover map is a rapid assessment methodology which reflecting ecosystem functions in a larger area. If it is supported with more ecosystem functions, the more precise nature value can be calculated.

KCI등재

저자 : 김동우 ( Kim Dong-woo ) , 구자운 ( Gu Ja-woon ) , 홍예지 ( Hong Ye-ji ) , 김세민 ( Kim Se-min ) , 손승우 ( Son Seung-woo )

발행기관 : 한국환경복원기술학회 간행물 : 한국환경복원기술학회지 (환경복원기술) 25권 6호 발행 연도 : 2022 페이지 : pp. 25-33 (9 pages)

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In this study, a monitoring method using high-resolution images acquired by unmanned aerial vehicles and deep learning algorithms was proposed for the management of the Sinduri coastal sand dunes. Class classification was done using U-net, a semantic division method. The classification target classified 3 types of sand dune vegetation into 4 classes, and the model was trained and tested with a total of 320 training images and 48 test images. Ignored label was applied to improve the performance of the model, and then evaluated by applying two loss functions, CE Loss and BCE Loss. As a result of the evaluation, when CE Loss was applied, the value of mIoU for each class was the highest, but it can be judged that the performance of BCE Loss is better considering the time efficiency consumed in learning. It is meaningful as a pilot application of unmanned aerial vehicles and deep learning as a method to monitor and manage sand dune vegetation. The possibility of using the deep learning image analysis technology to monitor sand dune vegetation has been confirmed, and it is expected that the proposed method can be used not only in sand dune vegetation but also in various fields such as forests and grasslands.

KCI등재

저자 : 이기문 ( Li Qiwen ) , 임홍근 ( Lim Hong-geun ) , 문혜원 ( Moon Hae-won ) , 남수연 ( Nam Soo-youn ) , 김재훈 ( Kim Jae-hoon ) , 최형태 ( Choi Hyung-tae )

발행기관 : 한국환경복원기술학회 간행물 : 한국환경복원기술학회지 (환경복원기술) 25권 6호 발행 연도 : 2022 페이지 : pp. 35-50 (16 pages)

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As the water shortage has become a noticeable issue due to climate change, forests play an importance role as the provider of water supply service. There is, however, little information about the relationships between the factors used in the estimation of water supply service and coarse pore fraction of forest soil which determines the potential of water supply. To find out whether there would be an amelioration in the scoring system of water supply service estimation, we examined all factors except meteorological one and additionally, analyzed 4 extra factors that might be related with coarse pore fraction of soil. A total of 2,214 soil samples were collected throughout South Korea to measure coarse pore fractions from 2015 to 2020. First, the result of average coarse pore fraction of all samples showed 32.98±6.59% which was consistent with previous studies. And the results of non-parametric analysis of variance indicated that only two of eleven factors that was used in the scoring system matched the results of coarse pore fraction of forest soils. Tree canopy coverage showed no difference among categories, and slope also showed no significance at level of 0.05 in the linear regression analysis. Additionally, the applicability of 4 extra factors were confirmed, as the result of coarse pore fractions of soil samples were different for various categories of each factor. Therefore, the scoring system of water supply service of forest should be revised to improve accuracy.

KCI등재

저자 : 이태호 ( Lee Tae-ho ) , 천금성 ( Cheon Gum-sung ) , 권혁수 ( Kwon Hyuk-soo )

발행기관 : 한국환경복원기술학회 간행물 : 한국환경복원기술학회지 (환경복원기술) 25권 6호 발행 연도 : 2022 페이지 : pp. 51-64 (14 pages)

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Along with the urbanization, the risk of urban flooding due to climate change is increasing. Flood regulation, one of the ecosystem services, is implemented in the different level of function of flood risk mitigation by the type of ecosystem such as forests, arable land, wetlands etc. Land use changes due to development pressures have become an important factor in increasing the vulnerability by flash flood. This study has conducted evaluating the urban flood regulation service using InVEST UFRM(Urban Flood Risk Model). As a result of the simulation, the potential water retention by ecosystem type in the event of a flash flood according to RCP 4.5(10 year frequency) scenario was 1,569,611 tons in urbanized/dried areas, 907,706 tons in agricultural areas, 1,496,105 tons in forested areas, 831,705 tons in grasslands, 1,021,742 tons in wetlands, and 206,709 tons in bare areas, the water bodies was estimated to be 38,087 tons. In the case of more severe 100-year rainfall, 1,808,376 tons in urbanized/dried areas, 1,172,505 tons in agricultural areas, 2,076,019 tons in forests, 1,021,742 tons in grasslands, 47,603 tons in wetlands, 238,363 tons in bare lands, and 52,985 tons in water bodies. The potential economic damage from flood runoff(100 years frequency) is 122,512,524 thousand won in residential areas, 512,382,410 thousand won in commercial areas, 50,414,646 thousand won in industrial areas, 2,927,508 thousand won in Infrastructure(road), 8,907 thousand won in agriculture, Total of assuming a runoff of 50 mm(100 year frequency) was estimated at 688,245,997 thousand won. In a conclusion. these results provided an overview of ecosystem functions and services in terms of flood control, and indirectly demonstrated the possibility of using the model as a tool for policy decision-making. Nevertheless, in future research, related issues such as application of models according to various spatial scales, verification of difference in result values due to differences in spatial resolution, improvement of CN(Curved Number) suitable for the research site conditions based on actual data, and development of flood damage factors suitable for domestic condition for the calculation of economic loss.

KCI등재

저자 : 배채영 ( Bae Chae-young ) , 이동근 ( Lee Dong-kun )

발행기관 : 한국환경복원기술학회 간행물 : 한국환경복원기술학회지 (환경복원기술) 25권 6호 발행 연도 : 2022 페이지 : pp. 65-75 (11 pages)

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Urban flood management(UFM) strategy ought to consider the connections and interactions between existing and new infrastructures to manage stormwater and improve the capacity to treat water. It is also important to demonstrate strategies that can be implemented to reduce the flow at flooding sources and minimize flood risk at critical locations. Although the general theory of spatial impact is popular, modeling guidelines that can provide information for implementation in real-world plans are still lacking. Under such background, this study conducted a modeling research based on an actual target site to confirm the hypothesis that it is appropriate to install green infrastructure(GI) in the source area and to take structural protection measures in the impact area, as summarized in previous studies. The results of the study proved the hypothesis, but the results were different from the hypothesis depending on which hydrological performance indicators were targeted. This study will contribute to demonstrating the effectiveness of strategies that can be implemented to reduce the flow at flooding sources and minimize the risk of flooding in critical locations in terms of spatial planning and regeneration.

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