• 제목/요약/키워드: 계획 지표

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Case Study of High-value Product Development Utilizing Natural Resources from DMZ (접경지역 천연자원 활용 고부가가치 제품개발 사례)

  • Ko, Hye-Jin;Cho, Young-Rak;Park, Ju-Hyoung;Lee, Jung A;Ahn, Eun-Kyung
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 한국자원식물학회 2019년도 추계학술대회
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    • pp.5-5
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    • 2019
  • DMZ는 살아있는 생물다양성의 보고로 지난 60여년동안 자연적으로 재생이 일어나고 환경적인 강제 보존 영향으로 높은 생태학적인 가치가 유지되고 있으며, 최근에는 남북교류에 대한 활발한 의지로 DMZ생태자원의 남북공동활용 방안에 대한 이슈가 급부상하고 있다. 이에 본 연구진은 3년전부터 DMZ에서 자생하는 식물에 대한 조사를 진행하여 총 200여종 이상의 자생식물의 표본과 추출물들을 보유하고 있으며, 이 추출물들을 활용 in vitro 와 in vivo 평가를 통해 비임상 평가에서 유효한 효과를 나타내는 후보물질들을 다수 찾아낼 수 있었다. 그 중 조팝나무(Spiraea prunifolia var. simpliciflora)는 쌍떡잎식물 장미과에 속하는 낙엽활엽관목으로 동북아시아 지역에 널리 분포되며 우리나라에서는 중부지방에 주로 서식한다고 알려져 있다. 예로부터 해열 및 소염, 신경통완화 치료등에 이용해왔다고 알려져 있으며 그 속에는 다양한 terpenoids, flavonoid 및 phenolic 화합물이 다량 함유되어 있다고 알려져 있다. 본 연구에서는 조팝나무 추출물을 이용하여 전구지방세포에서의 지방세포분화 억제 및 관련 유전자들의 활성을 확인한 후 고지방식이로 유도된 high-fat diet mouse model을 이용하여 체지방 감소 및 내장지방감소, 간 조직내의 지방량 감소등을 확인하였으며, 혈액분석을 통해 총콜레스테롤과 고중성지방등 동맥경화와 심혈관계 질환을 유도시킬수 있는 지표들에서 억제 활성도 확인하였다. 특히 내장 지방의 경우는 Micro-CT를 통해 정밀한 분석을 진행하였고, 체지방뿐만 아니라 전체 체중감소도 나타나는 것을 확인하였다. 현재 실험을 통해 적출된 간 조직과 지방조직을 이용하여 항 비만 활성의 작용기전을 지속적으로 확인하고 있으며, 이 결과는 국제적인 연구저널에 보고되어 향후 체지방 감소 또는 항 비만 치료제로 개발되는 비임상 연구자료로 활용될 계획이다. 이미 조팝나무에 대한 연구결과는 특허로 출원이 완료되어 PCT출원까지 진행중에 있으며 개별인정형 건강기능식품 개발 기업에 기술이전이 될 예정이다. 또한 원활한 원료 수급을 위해 기초단체 소속 농업기술센터와 원료 재배 및 대량 수급에 관한 논의를 마친 상태로 접경지역 근처 농가소득 증대로도 이어지는 제품화 사례이기도 하다. 이는 접경지역에서 자생하는 원료의 활성을 과학적으로 검증하여 기업과의 연계를 통해 기초시군 단체의 농가 소득과도 연계한 우수한 제품개발 사례로 향후에도 이와 같은 연구성과가 지속적으로 도출되기를 기대해본다.

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Improvement of Detailed Indicators and Application of Methodology for Post-Evaluation of National River Project (국가하천사업 사후 평가를 위한 세부지표 개선 및 방법론 적용)

  • Jang, Chorok;Jang, Moon Yup;Song, Juil;Kim, Han Tae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제22권1호
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    • pp.188-196
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    • 2021
  • Korea has invested heavily in projects related to national rivers, but there is no evaluation technique and system to manage river projects that can evaluate the effectiveness of the river projects after they are completed. Their absence leads to the inability of information on river construction sections, analysis of project effects, and benchmarking between projects. This may cause over-budget, overlapping investment problems due to the implementation of similar projects in the same section, and incorrect business elements may be repeatedly utilized. In order to solve this shortcoming, this study developed river project evaluation techniques and a river project (construction) management system. The development of evaluation techniques enables comparison and analysis between projects and can be utilized in establishing maintenance plans. The system can also provide inquiry of construction information, visualization of construction, and management of performance items. In this study, the evaluation techniques developed through prior research were modified and supplemented, and the effectiveness was verified by applying them to national river projects in A river and B river. It is expected that the evaluation techniques and system utilization measures presented will increase the work efficiency of river projects and enhance the efficiency of river projects.

Complementary measures for Environmental Performance Evaluation Index of External Space of Green Standard for Energy and Environmental Design for Apartment Complex - Focused on the Respect of Response to Climate Change - (공동주택 녹색건축인증기준의 외부공간 환경성능 평가지표 보완방안 - 기후변화 대응 측면을 중심으로 -)

  • Ye, Tae-Gon;Kim, Kwang-Hyun;Kwon, Young-Sang
    • Journal of the Architectural Institute of Korea Planning & Design
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    • 제34권1호
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    • pp.3-14
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    • 2018
  • An apartment complex is a building use with great potential to contribute to solving problems related to urban ecological environment and climate change. The first goal of this study is to grasp the current situation of application and limitations of the ecological area rate, which is a representative evaluation index used to evaluate the environmental performance of the external space of an apartment complex in Green Standard for Energy and Environmental Design (G-SEED). The second goal is to propose a prototype of the evaluation index for evaluating greenhouse gas (GHG) reduction performance in order to supplement the evaluation index for the environmental performance of the external space in terms of response to climate change. We analyzed 43 cases of apartment complexes certified according to G-SEED, which was enforced since July 1, 2010, and found application characteristics of each space type and the limitations of ecological area rate. We analyzed overseas green building certification systems such as LEED and BREEAM that derived implications for supplementing the limitations of ecological area rate, which is focused on the evaluation of soil and water circulation function, and set up a development direction of complementary measures. Through analysis of previous studies, relevant regulations and standards, and technical documents of the manufacturer, the heat island mitigation performance of the pavement and roof surfaces of the apartment complex and the carbon uptake performance of the trees in the apartment complex was selected as parameters to yield the GHG reduction performance of the external space of the apartment complex. Finally, a quantitative evaluation method for each parameter and a prototype of the evaluation index for the GHG reduction performance were proposed. As a result of applying the prototype to an apartment complex case, the possibility of adoption and applicability as an evaluation index of G-SEED were proved.

Analysis on the Status of Joint Forestry Project in National Forest (국유림 공동산림사업 실태분석에 관한 연구)

  • Kim, Dong-Hyeon;Ko, Chi-Ung;Kim, Dong-Geun
    • Journal of agriculture & life science
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    • 제53권6호
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    • pp.45-53
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    • 2019
  • The purpose of this study is to analyze the status of the joint forest project, which is one of the national forest management system, by using stakeholder participation, transparency of decision making, accountability of actors and stakeholders, The questionnaire survey was conducted using the 5 - point scale and the written form. As a result of the questionnaire survey, various stakeholder participation items had the highest opportunity to participate with an average of 3.3 and the lowest score with 2.3 points for establishing conflict and conflict resolution structures. Transparency was analyzed to be 3.4 points for the project disclosure, 2.7 points for information sharing and education promotion activities for local residents, 3.3 points for the detailed role of the project implementer, and 2.7 points for internal and external monitoring and evaluation of the project with various stakeholders. The results of this research, analyzed through the participatory forest management index, are deemed to be used as basic data for the establishment of a plan for the revitalization of national forest participation management.

Urban Change Detection for High-resolution Satellite Images Using U-Net Based on SPADE (SPADE 기반 U-Net을 이용한 고해상도 위성영상에서의 도시 변화탐지)

  • Song, Changwoo;Wahyu, Wiratama;Jung, Jihun;Hong, Seongjae;Kim, Daehee;Kang, Joohyung
    • Korean Journal of Remote Sensing
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    • 제36권6_2호
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    • pp.1579-1590
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    • 2020
  • In this paper, spatially-adaptive denormalization (SPADE) based U-Net is proposed to detect changes by using high-resolution satellite images. The proposed network is to preserve spatial information using SPADE. Change detection methods using high-resolution satellite images can be used to resolve various urban problems such as city planning and forecasting. For using pixel-based change detection, which is a conventional method such as Iteratively Reweighted-Multivariate Alteration Detection (IR-MAD), unchanged areas will be detected as changing areas because changes in pixels are sensitive to the state of the environment such as seasonal changes between images. Therefore, in this paper, to precisely detect the changes of the objects that consist of the city in time-series satellite images, the semantic spatial objects that consist of the city are defined, extracted through deep learning based image segmentation, and then analyzed the changes between areas to carry out change detection. The semantic objects for analyzing changes were defined as six classes: building, road, farmland, vinyl house, forest area, and waterside area. Each network model learned with KOMPSAT-3A satellite images performs a change detection for the time-series KOMPSAT-3 satellite images. For objective assessments for change detection, we use F1-score, kappa. We found that the proposed method gives a better performance compared to U-Net and UNet++ by achieving an average F1-score of 0.77, kappa of 77.29.

Derivation of Important Factors the Resilience of Purchased Land in the Riparian Zone Using AHP Analysis (AHP분석을 활용한 수변구역 매수토지의 회복탄력성 중요인자 도출)

  • Back, Seung-Jun;Lee, Chan;Jang, Jae-Hoon;Kang, Hyun-Kyung;Lee, Soo-Dong
    • Korean Journal of Environment and Ecology
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    • 제35권4호
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    • pp.387-397
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    • 2021
  • This study aims to present reference data necessary for developing evaluation indicators to analyze the actual resilience of purchased land by investigating the factors that affect the restoration of the purchased land in the riparian zone and quantitatively calculating its importance. The main results are as follows. Firstly, this study identified 34 potential resilience factors through a literature review encompassing domestic and overseas studies and derived seven ecological responsiveness factors, six physical responsiveness factors, and four managerial responsiveness factors through the Delphi survey. Secondly, reliability analysis and Analytic Hierarchy Process (AHP) analysis derived the following important factors: structural stability of the vegetation restored in the purchased land, species diversity of wildlife, structural stability of wildlife, the size of restored wetland after purchase, number of plant species, and the land cover status adjacent to the purchased land. The study results are expected to be helpful information for ecological restoration and management plans reflecting reinforcing factors for resilience at each stage of land purchase, restoration, and management.

Development of a Data-Driven Model for Forecasting Outflow to Establish a Reasonable River Water Management System (합리적인 하천수 관리체계 구축을 위한 자료기반 방류량 예측모형 개발)

  • Yoo, Hyung Ju;Lee, Seung Oh;Choi, Seo Hye;Park, Moon Hyung
    • Journal of Korean Society of Disaster and Security
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    • 제13권4호
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    • pp.75-92
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    • 2020
  • In most cases of the water balance analysis, the return flow ratio for each water supply was uniformly determined and applied, so it has been contained a problem that the volume of available water would be incorrectly calculated. Therefore, sewage and wastewater among the return water were focused in this study and the data-driven model was developed to forecast the outflow from the sewage treatment plant. The forecasting results of LSTM (Long Short-Term Memory), GRU (Gated Recurrent Units), and SVR (Support Vector Regression) models, which are mainly used for forecasting the time series data in most fields, were compared with the observed data to determine the optimal model parameters for forecasting outflow. As a result of applying the model, the root mean square error (RMSE) of the GRU model was smaller than those of the LSTM and SVR models, and the Nash-Sutcliffe coefficient (NSE) was higher than those of others. Thus, it was judged that the GRU model could be the optimal model for forecasting the outflow in sewage treatment plants. However, the forecasting outflow tends to be underestimated and overestimated in extreme sections. Therefore, the additional data for extreme events and reducing the minimum time unit of input data were necessary to enhance the accuracy of forecasting. If the water use of the target site was reviewed and the additional parameters that could reflect seasonal effects were considered, more accurate outflow could be forecasted to be ready for climate variability in near future. And it is expected to use as fundamental resources for establishing a reasonable river water management system based on the forecasting results.

Development of a surrogate model based on temperature for estimation of evapotranspiration and its use for drought index applicability assessment (증발산 산정을 위한 온도기반의 대체모형 개발 및 가뭄지수 적용성 평가)

  • Kim, Ho-Jun;Kim, Kyoungwook;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
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    • 제54권11호
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    • pp.969-983
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    • 2021
  • Evapotranspiration, one of the hydrometeorological components, is considered an important variable for water resource planning and management and is primarily used as input data for hydrological models such as water balance models. The FAO56 PM method has been recommended as a standard approach to estimate the reference evapotranspiration with relatively high accuracy. However, the FAO56 PM method is often challenging to apply because it requires considerable hydrometeorological variables. In this perspective, the Hargreaves equation has been widely adopted to estimate the reference evapotranspiration. In this study, a set of parameters of the Hargreaves equation was calibrated with relatively long-term data within a Bayesian framework. Statistical index (CC, RMSE, IoA) is used to validate the model. RMSE for monthly results reduced from 7.94 ~ 24.91 mm/month to 7.94 ~ 24.91 mm/month for the validation period. The results confirmed that the accuracy was significantly improved compared to the existing Hargreaves equation. Further, the evaporative demand drought index (EDDI) based on the evaporative demand (E0) was proposed. To confirm the effectiveness of the EDDI, this study evaluated the estimated EDDI for the recent drought events from 2014 to 2015 and 2018, along with precipitation and SPI. As a result of the evaluation of the Han-river watershed in 2018, the weekly EDDI increased to more than 2 and it was confirmed that EDDI more effectively detects the onset of drought caused by heatwaves. EDDI can be used as a drought index, particularly for heatwave-driven flash drought monitoring and along with SPI.

GIS Macro Evaluation System for Urban Walk - Focusing on Busan - (도심 보행을 위한 GIS 거시 평가체계 개발 - 부산을 중심으로 -)

  • Yu, Yeon seo;Kim, Jong gu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • 제42권4호
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    • pp.581-590
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    • 2022
  • It is important to create a decent pedestrian space in order to realize a public space that can ultimately improve the quality of life based on guaranteeing people's right to move while also enhancing urban activity. The goal of this study is to develop a pedestrian path evaluation system in order to lay the foundation for data construction leading to the creation of such elegant walking space. First, a basic system was established in keeping with factors and the space, and this system was used as the basic framework of the study. The trends identified in the literature can be divided into eight categories, denoted here as: Walking safety policy, Walking focused plan, Recognition transition, Transportaion system, Activity-linked walking, Facility utilization walking, Nature and history linked walking and Content convergence walking. The macro- and micro-indices and factors mentioned in related studies were synthesized and classified, and the basis for universality and differentiation was established by integrating them. Next, according to the basic composition of the walking system, Walking potential and slope safety in the Safety category, Basic walking connectivity and Traffic linkage in the Efficiency category, Walking arrangement and Rest convenience in the Health category, and Resource connectivity and Activity abundance in the Comfortability category macro evaluation system of the eight categories were established and a corresponding measurement method was developed.

Structural Relationship Analysis between Tourists' Time Perception, Perceived Satisfaction and Behavioral Intention of Nostalgic Urban Regeneration Tourist Destination (감성적 도시재생관광지 관광자의 시간관과 지각된 만족, 행동의도 간의 구조관계 분석)

  • Lee, Jae-Dal
    • Land and Housing Review
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    • 제13권1호
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    • pp.23-38
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    • 2022
  • As city tourism has recently been evaluated as a major indicator of urban competitiveness, strengthening the role of cities as tourist destinations has received more attention. However, industrialization and urbanization of many cities lead to population decline, extinction of traditional industries, and deterioration of living environments, weakening urban functions and competitiveness. Thus, it is essential for declining cities to build a measure to restore urban competitiveness by enhancing urban functions. Accordingly, this study focused on socio-cultural urban regeneration by exploring physical spaces for tourism destinations in declining cities. Different from general tourist destinations, tourism destinations of urban regeneration have a temporal perspective covering the past, present, and future. How does the temporal perspective of urban regeneration tourist destinations affect tourists' satisfaction and behavioral intention? In order to address these questions, this study conducts an empirical analysis based on structural equation modeling (SEM) using the sample of tourists who have visited urban regeneration tourism destinations. With SEM, this paper investigates structural relationships across variables by testing the hypothesis established in the proposed research model. The results show that precious memories of the past are the most important factor for tourists to visit urban regeneration tourist destinations. The empirical findings of this study will contribute to the research areas of urban tourism, urban regeneration tourism, and urban regeneration tourism destinations. In addition, this study can provide practical implications to develop socio-cultural contents of urban regeneration areas as tourism resources to establish plans for urban regeneration projects and achieve sustainable development strategies.