• Journal of the Korean Society of Environmental Restoration Technology
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• 제26권1호
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• pp.17-33
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• 2023

Disasters in coastal regions are a constant source of damage due to their uncertainty and complexity, leading to the proposal of green infrastructure as a nature-based solution that incorporates the concept of resilience to address the limitations of traditional grey infrastructure. This study analyzed trends in research related to coastal disasters and green infrastructure by conducting a co-occurrence keyword analysis of 2,183 articles collected from the Web of Science (WoS). The analysis resulted in the classification of the literature into four clusters. Cluster 1 is related to coastal disasters and tsunamis, as well as predictive simulation techniques, and includes keywords such as surge, wave, tide, and modeling. Cluster 2 focuses on the social system damage caused by coastal disasters and theoretical concepts, with keywords such as population, community, and green infrastructure elements like habitat, wetland, salt marsh, coral reef, and mangrove. Cluster 3 deals with coastal disaster-related sea level rise and international issues, and includes keywords such as sea level rise (or change), floodplain, and DEM. Finally, cluster 4 covers coastal erosion and vulnerability, and GIS, with the theme of 'coastal vulnerability and spatial technique'. Keywords related to green infrastructure in cluster 2 have been continuously appearing since 2016, but their focus has been on the function and effect of each element. Based on this analysis, implications for planning and management processes using green infrastructure in response to coastal disasters have been derived. This study can serve as a valuable resource for future research and policy in responding to and managing various disasters in coastal regions.

• Journal of the Korean Society of Environmental Restoration Technology
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• 제27권3호
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• pp.29-43
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• 2024

Legally protected species are one of the crucial considerations in the field of natural ecology when conducting environmental impact assessments (EIAs). The occurrence of legally protected species, especially 'Endangered Wildlife' designated by Ministry of Environment, significantly influences the progression of projects subject to EIA, necessitating clear investigations and presentations of their habitats. In perspective of statistics, a minimum of 30 occurrence coordinates is required for population prediction, but most of endangered wildlife has insufficient coordinates and it posing challenges for distribution prediction through modeling. Consequently, this study aims to propose modeling methodologies applicable when coordinate data are limited, focusing on Rodgersia podophylla, representing characteristics of endangered wildlife and northern plant species. For this methodology, 30 random sampling coordinates were used as input data, assuming little survey data, and modeling was performed using individual models included in BIOMOD2. After that, the modeling results were evaluated by using discrimination capacity and the reality reflection ability. An optimal modeling technique was proposed by ensemble the remaining models except for the MaxEnt model, which was found to be less reliable in the modeling results. Alongside discussions on discrimination capacity metrics(e.g. TSS and AUC) presented in modeling results, this study provides insights and suggestions for improvement, but it has limitations that it is difficult to use universally because it is not a study conducted on various species. By supporting survey site selection in EIA processes, this research is anticipated to contribute to minimizing situations where protected species are overlooked in survey results.

• Journal of the Korean Institute of Landscape Architecture
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• 제49권5호
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• pp.79-96
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• 2021

Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.

• Journal of Wetlands Research
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• 제21권1호
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• pp.16-26
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• 2019

Wetlands that provide diverse ecosystem services, such as habitat provision and hydrological control of flora and fauna, constitute ecosystems through interaction between wetlands existing in a wetlandscape. Therefore, to evaluate the wetland functions such as resilience, it is necessary to analyze the ecological connectivity that is formed between wetlands which also show hydrologically dynamic behaviors. In this study, by defining wetlands as ecological nodes, we generated ecological networks through the connection of wetlands according to the dispersal model of wetland species. The characteristics of these networks were then analyzed using various network metrics. In the case of the dispersal based on a threshold distance, while a high local clustering is observed compared to the exponential dispersal kernel and heavy-tailed dispersal model, it showed a low efficiency in the movement between wetlands. On the other hand, in the case of the stochastic dispersion model, a low local clustering with high efficiency in the movement was observed. Our results confirmed that the ecological network characteristics are completely different depending on which dispersal model is chosen, and one should be careful on selecting the appropriate model for identifying network properties which highly affect the interpretation of network structure and function.

• Korean Journal of Environmental Biology
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• 제40권1호
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• pp.99-111
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• 2022

Vegetation is the basis for biodiversity conservation and sustainable development. In the Environmental Impact Assessment (EIA), which is the most direct and efficient policy measure to prevent degradation of nature, vegetation-related assessment has limitations as it is not based on quantitative and scientific methods. In addition, it focuses on the presence of protected species; hence, it does not take into account the role of vegetation as a habitat on a wide-area scale. As a way to overcome these limitations, this study aims to contribute to the quantification and advancement of future EIA on vegetation. Through the review of previous studies, core areas, connectivity, and vegetation condition were derived as the items to be dealt within the macroscopic aspect of vegetation impact assessment. Each item was spatially constructed using land cover maps and satellite imageries, and time series change analysis was performed. As a result, it was found that vegetation has been continuously deteriorating due to development in all aspects, and in particular, development adversely affects not only the inside of the project site but also the surrounding area. Although this study suggested the direction for improvement of the EIA in the vegetation sector based on data analysis, a more specific methodology needs to be established in order to apply it to the actual EIA process. By actively utilizing various environmental spatial data, the impact of the development on the natural ecosystem can be minimized.

• Journal of the Society of Disaster Information
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• 제13권1호
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• pp.6-14
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• 2017

The opportunity provided for design method and strategy of sustainable campus on the waterfront, is the purpose of this paper. Waterfront campus is an important issue as it seeks to revive the sustainability and to renew the facilities. This paper reviews an assessment of its success for waterfront campus in 10 principles such as waterfront, water and safety, climate & energy, green building and transportation, green labs and recycling, health and food, social economic sustainability, fund, human, smart, also concludes with the establishment of space making for the waterfront campus for future educational facilities on the waterfront; implementation of waterfront campus maserplan; building sustainable campus in adaptation to climate change; creative and resilient cooperation.

• Journal of KIBIM
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• 제9권1호
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• pp.32-41
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• 2019

As population in Sarasota and Manatee Counties, Florida in the United States is projected to increase, land use changes from land development happen continuously. The more land development means the more impervious surfaces and stormwater runoff to Sarasota Bay, which causes critical impact on the resiliency of the ecosystem. In order to decrease its impact on water quality and the ecosystem function of Sarasota Bay, it is important to assess the resilient status of communities that create negative impacts on the ecosystem. Three types of guiding principles of resiliency for Sarasota Bay watershed are suggested. To assess resiliency status, three indexes - vulnerability index, socio-economic index, and ecological index are developed and analyzed by using geographic information system for each census tract in the two counties. Since each indicator for vulnerability index, socio-economic index, and ecological index is measured with different metrics, statistical standardizing method - distance from the best and worst performers is used for this study to directly compare and combine them all to show total resilience score for each census tract. Also, the ten most and the ten least scores for the total resilience index scores are spatially distributed for better understanding which census tracts are most or least resilient. As Sarasota Watershed boundary is also overlaid, it is easy to understand how each census tract attains its resilience and how each census tract impacts to Sarasota Bay ecosystem. Based on results of the resiliency assessment several recommendations, guidelines, or policies for attaining or enhancing resiliency are suggested.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2020년도 학술발표회
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• pp.29-29
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• 2020

가뭄으로 인한 영향은 상당 기간 완만히 누적되어 나타나고, 해갈된 후에도 수년 동안 파급효과가 나타날 수 있으므로 모니터링 및 예·경보에 어려움이 있다. 가뭄 리질리언스 확보를 위해서는 지하수개발, 해수담수화, 식수전용 댐 확충 등 구조적 중장기 안정화 방안과 더불어 가뭄 피해를 예측하여 미리 물 자원을 확보하는 비구조적 대응 방안이 같이 이루어져야 한다. 대상지역은 물 부족을 겪고 있는 미급수 지역으로 환경부에서는 구조적 대책으로 샌드댐 설치가 예정되어 있다. 본 연구에서는 비구조적 가뭄 대응을 위하여 하천-취수원 연계 모니터링 및 분석을 수행하였다. 하천에 수위 계측기를 설치하여 시간별 수위를 상시 계측하였으며, 월 1회 유속을 측정하여 일별 유량(공급량)을 모니터링하였다. 이를 통해 도출된 일별 유출량 값은 장기유출모형인 SWAT의 매개변수 검·보정에 이용되었으며, 과거 10여 년간의 유출량(공급량)을 추정하였다. 또한, 취수원인 물탱크에 수위계를 설치하여 낮 동안 수위 변화량을 이용량을 가정하여 일별 수요량을 추정하였다. 최종적으로 일별 수요량-공급량 관계분석을 통해 가뭄에 대응할 수 있는 체계를 구축하였다.

• Journal of the Society of Disaster Information
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• 제14권2호
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• pp.115-121
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• 2018

Purpose: The purpose of this study is to identify the legal status of enterprise disaster management standards established as part of business continuity management and to ensure resilience, and to improve the problem of application of industry disaster management standards in related industries. Method: We collected relevant data for the study and conducted a literature review on the logistical definition of laws and academic systems such as constitution and enterprise disaster reduction law, and HLS structure. Results: It has been confirmed that the enterprise disaster management standards in the Enterprise Disaster Management Standard are higher in the legal status than the ISO 22301: 2012 international standard. Conclusion: Through this study, it is necessary to establish a development direction of application and related regulations by clarifying the enterprise disaster management standard according to the enterprise disaster reduction law.

• Proceedings of the Korean Society of Disaster Information Conference
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• 한국재난정보학회 2017년 정기학술대회
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• pp.329-330
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• 2017

재난은 인류의 발전과 더불어 다양하게 발생되어왔다. 최근 21세기 들어 발생하는 재난은 그 현상이 더욱 다양하고 복잡하며 그 피해의 정도가 대규모로 진행되는 경우가 많아 졌다. 태풍, 집중호우, 강풍, 폭설, 지진, 황사 등의 자연재난은 지구온난화현상으로 국내뿐만 아니라 전 세계적으로 커다란 영향력을 미치고 있으며, 화재, 구축물의 붕괴, 지하철사고, 테러 및 감염병 등의 사회 재난도 더욱더 증가하고 있는 추세이다. 나아가 사스, 메르스, 지카 바이러스 및 대형 테러 등 전 세계적 차원의 사회 재난의 발생 또한 급증하고 있다. 이와 같이 현대사회에서 발생하는 재난는 개인이나 국가의 정책만으로 예방하고 관리할 수 없는 특성이 있다. 따라서, 자본주의 경제의 한축을 이루고 있는 기업의 재난을 관리하여 연속성을 확보하고 더나아가 리질리언스(Resilence)를 보장하기 위한 일환으로 2007년 7월 재해경감을 위한 기업의 자율 활동 지원에 관한 법률(이하, 기업재해경감법 이라함.)이 공포된 지 약 10여년이 경과하였다. 이는 법 제도화를 통하여 기업의 재해경감활동을 지원하기 취지에서 출발한 것 이다. 그 후 현재 까지 어느 정도의 발전이 있었지만 경과 년 수에 비해 아직 미흡한 실정이다. 이후 그 기업들이 좀 더 원활하게 재해경감활동을 위한 계획을 수립, 실행, 검토 및 유지하기 위한 지침으로서 기업재난관리표준을 2010년 4월 2일 제정하였고 이후 재해경감활동 수립계획을 제정하여 시행하기에 이르렀다. 또한, 기업재난관리표준은 제정된 이후 2013년 12월 9일 전면 개정작업을 통해 경영관리 프로세스 모델(Plan-Do-Check-Act)이 적용된 관리체계를 접목시키고 용어정의를 국제표준과 일치시켜 기업재해경감활동 상의 혼선을 방지하기 위한 노력을 하였다. 현 정부에서는 주무부처가 바뀌고 조직이 변화되어 행정안전부고시 제2017-1호(2017.07.26.일)로 개정되어 현재에 이르고 있다. 본 논문에서는 기업재난관리표준과 연관된 제반 법령 및 규정 등에 대한 법적성격 과 지위를 규명하고, 기업재난관리표준의 관련분야 적용 시 문제점 및 바람직한 제도개선 방향을 제시하고자 한다.