• Journal of Ecology and Environment
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• 제47권4호
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• pp.219-227
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• 2023

The US National Science Foundation's National Ecological Observatory Network (NEON) is a continental-scale program intended to provide open data, samples, and infrastructure to understand changing ecosystems for a period of 30 years. NEON collects co-located measurements of drivers of environmental change and biological responses, using standardized methods at 81 field sites to systematically sample variability and trends to enable inferences at regional to continental scales. Alongside key atmospheric and environmental variables, NEON measures the biodiversity of many taxa, including microbes, plants, and animals, and collects samples from these organisms for long-term archiving and research use. Here we review the composition and use of NEON resources to date as a whole and specific to biodiversity as an exemplar of the potential of national research infrastructure to contribute to globally relevant outcomes. Since NEON initiated full operations in 2019, NEON has produced, on average, 1.4 M records and over 32 TB of data per year across more than 180 data products, with 85 products that include taxonomic or other organismal information relevant to biodiversity science. NEON has also collected and curated more than 503,000 samples and specimens spanning all taxonomic domains of life, with up to 100,000 more to be added annually. Various metrics of use, including web portal visitation, data download and sample use requests, and scientific publications, reveal substantial interest from the global community in NEON. More than 47,000 unique IP addresses from around the world visit NEON's web portals each month, requesting on average 1.8 TB of data, and over 200 researchers have engaged in sample use requests from the NEON Biorepository. Through its many global partnerships, particularly with the Global Biodiversity Information Facility, NEON resources have been used in more than 900 scientific publications to date, with many using biodiversity data and samples. These outcomes demonstrate that the data and samples provided by NEON, situated in a broader network of national research infrastructures, are critical to scientists, conservation practitioners, and policy makers. They enable effective approaches to meeting global targets, such as those captured in the Kunming-Montreal Global Biodiversity Framework.

• 한국환경과학회지
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• 제26권5호
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• pp.549-561
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• 2017

Recently IPCC (International Panel on Climate Change, 2007) pointed out that global warming is a certain ongoing process on the earth, due to which water resources management is becoming one of the most difficult tasks with the frequent occurrences of extreme floods and droughts. In this study we made runoff predictions for several control points in the Geum River by using the watershed runoff model, SSARR (Streamflow Synthesis and Reservoir Regulation Model), with daily RCP 4.5 and RCP 8.5 scenarios for 100 year from 1st Jan 2006 to 31st Dec 2100 at the resolution of 1 km given by Climate Change Information Center. As a result of, the Geum River Basin is predicted to be a constant flow increases, and it showed a variation in the water circulation system. Thus, it was found that the different seasonality occurred.

• 대한토목학회논문집
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• 제44권4호
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• pp.465-482
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• 2024

The global use of groundwater in coastal areas has increased. Events such as seawater intrusion (SWI) are expected to increase along with the acceleration of natural disasters owing to environmental changes such as climate change, resulting in large-scale damage worldwide. Current trends in the research of coastal groundwater and related natural disasters include testing and verifying technologies using major case studies from individual countries. We identified global research trends in coastal groundwater, related these trends to changing environments and climate, and confirmed the qualitative and quantitative growth of these studies. This study describes the theoretical background and techniques for coastal groundwater analysis and details regional-scale SWI indicators based on analytical and numerical studies. This review highlights recent technologies that consider uncertainty and promotes discussions on field data obtained using new technologies. Finally, the research findings and trends for a regional coastal aquifer in Korea are discussed to describe recent SWI approaches for groundwater resources.

• 자원ㆍ환경경제연구
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• 제17권2호
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• pp.287-311
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• 2008

본 연구는 지속적인 산림경영 증진의 필요성과 관련한 한 분야의 연구로서 기후변화의 영향을 받는 세계목재시장이 산림을 통해 대기에 배출하는 순탄소량의 규모에 대한 측정을 시도하였다. 이를 위해 본 연구는 기후변화의 영향을 받는 세계목재시장 분석을 위해 개발한 목재공급모형(변형된 TSM 2000)과 동태적 탄소모형(확장된 TCM)을 통합하여 기후변화의 영향을 받는 세계목재시장이 산림을 통해 대기에 배출하는 순탄소량의 규모를 1995년부터 2085년까지 90년간 시뮬레이션하였다. 정상적으로 성장하는 목재수요(ND) 시나리오 하의 시뮬레이션 결과에 따르면 2085년에 이르러 기후변화의 영향을 받는 세계목재시장은 1990년도 대기에 축적된 탄소랑의 약 3.60퍼센트를 감소시킨다는 사실을 알 수 있다. 따라서 본 연구의 결과는 기후변화의 영향을 받는 세계목재시장이 산림의 탄소 유입과 배출을 통해 역으로 지구온난화를 완화하는데 기여하게 된다는 사실을 보여 준다. 본 연구는 민감도 분석을 위해 빠르게 성장하는 목재수요(HD) 시나리오와 매우 빠르게 성장하는 목재수요(VHD) 시나리오 하에서 기후변화의 영향을 받는 세계목재시장이 대기에 배출하는 순탄소량의 규모에 대한 시뮬레이션을 시도하였다.

• 한국환경복원기술학회지
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• 제6권1호
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• pp.51-56
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• 2003

The urban stream include the channel and its adjacent banks, or hillslopes and it consists of various landscape elements. The riparian ecosystem is important to people. Its water is extracted for irrigation and drinking supplies. Biodiversity and many wetland species are protected here. The riparian ecosystem is diverse and needs to be preserved well. So, it is necessary to measure the features of the urban stream accurately to figure out the change of the riparian ecosystem. However, the traditional Electronic Distance Measurement(EDM) surveying is difficult to measure the curvilinear features of the stream - e, g, angle, curve. The beacon Differential Global Positioning System(DGPS) can handle to measure the curvilinear shape. Therefore, the purpose of this study is to measure the change of the river bed in urban stream accurately using realtime beacon DGPS, and ultimately to provide the basic data for identifying the change of the river ecosystem.

• 한국환경과학회지
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• 제30권1호
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• pp.29-43
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• 2021

This study analyzed the status of climate-change indicator plants native to the main islands of the Korean peninsula, while elucidating their distribution characteristics. Information on flora from over 129 island locations, comprising more than 100 species of native plants, was collected, compiled into a database, and utilized as raw data. The distribution of 193 climate-change indicator plants was confirmed. The distribution area of broadleaf evergreen trees and ferns, including Mallotus japonicus and Cyrtomium falcatum, was relatively wide. In contrast, the distribution of common northern plants such as Corydalis turtschaninovii and Malus baccata was limited. If global warming persists, northern plant distribution is expected to decrease rapidly in the Korean Peninsula island region, while the northern limit line of the southern plants is expected to migrate further northward. During this process, it is likely that the plant congregation structure and species diversity within the island region will change dynamically. In this study, comparative analyses between species and regions were conducted by assessing the relative frequency of their occurrence, and six types of botanical geographic distribution patterns were noted.

• Asian Journal of Atmospheric Environment
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• 제11권4호
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• pp.330-343
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• 2017

Climate change is an important issue, with many researches examining not only future climatic conditions, but also the interaction of climate and air quality. In this study, a new version of the emissions processing software tool - Python-based PRocessing Operator for Climate and Emission Scenarios (PROCES) - was developed to support climate and atmospheric chemistry modeling studies. PROCES was designed to cover global and regional scale modeling domains, which correspond to GEOS-Chem and CMAQ/CAMx models, respectively. This tool comprises of one main system and two units of external software. One of the external software units for this processing system was developed using the GIS commercial program, which was used to create spatial allocation profiles as an auxiliary database. The SMOKE-Asia emissions modeling system was linked to the main system as an external software, to create model-ready emissions for regional scale air quality modeling. The main system was coded in Python version 2.7, which includes several functions allowing general emissions processing steps, such as emissions interpolation, spatial allocation and chemical speciation, to create model-ready emissions and auxiliary inputs of SMOKE-Asia, as well as user-friendly functions related to emissions analysis, such as verification and visualization. Due to its flexible software architecture, PROCES can be applied to any pregridded emission data, as well as regional inventories. The application results of our new tool for global and regional (East Asia) scale modeling domain under RCP scenario for the years 1995-2006, 2015-2025, and 2040-2055 was quantitatively in good agreement with the reference data of RCPs.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2006년도 추계공동학술대회
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• pp.361-365
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• 2006

Air pollution problem has been one of the most urgent global environmental problems since UN Framework Convention on Climate Change accepted in Rio Conference, 1992. International environmental regulations of global community to reduce the green house gases have Influenced the domestic environmental policies. Recently, various policy have been made to cope with foreign environment restrction and active supports for development of related technology have been carried out in our government confrontation strategy still leaves much to be desired. In this paper, government confrontation program to climate agreement, counter strategies in motor and also electrics, electronics industries are investigated and discussed.

• 환경생물
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• 제29권3호
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• pp.195-201
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• 2011

Today, the weather is changing continually, due to the progress of global warming. As the weather changes, the habitats of different organisms will change as well. It cannot be predicted whether or not the weather will change with each passing day. In particular, the biological distribution of the areas climate change affects constitutes a major factor in determining the natural state of indigenous plants; additionally, plants are constantly exposed to rhizobacteria, which are bound to be sensitive to these changes. Interest has grown in the relationship between plants and rhizopheric microorganisms. As a result of this interest we elected to research and experiment further. We researched the dominant changes that occur between plants and rhizospheric organisms due to global warming. First, we used temperature as a variable. We employed four different temperatures and four different sites: room temperature ($27^{\circ}C$), $+2^{\circ}C$, $+4^{\circ}C$, and $+6^{\circ}C$. The four different sites we used were populated by the following strains: Pinus densiflora, Pinus koraiensis, Quercus acutissima. We counted colonies of these plants and divided them. Then, using 16S rRNA analysis we identified the microorganisms. In conclusion, we identified the following genera, which were as follows: 24 strains of Bacillus, 6 Paenibacillus strains, 1 Pseudomonas strains. Among these genera, the dominant strains in Pinus densiflora was discovered in the same genus. Additionally, those of Pinus koraiensis and Quercus acutissima changed in both genus and strains which changed into the Bacillus genus from the Paenibacillus genus at $33^{\circ}C$.

• 환경영향평가
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• 제23권2호
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• pp.119-136
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• 2014

This work aims to select the potentially vulnerable plant species against climate change at alpine and subalpine belts of Mts. Sorak, Jiri, and Halla, from central, southern, southern insular high mountains of the Korean Peninsula, respectively. The selection of global warming related vulnerable plants were performed by adapting various criteria, such as flora, endemicity, rarity, floristically specific and valuable species, species composition at mountain summits, horizontal and vertical ranges of individual species, and their distributional pattern in the Korean Peninsula. Line and quadrat field surveys along the major trails from all directions at height above 1,500 meters above sea level of Mts, Sorak, Jiri and Halla were conducted each year during spring, summer, and autumn from 2010 to 2011. Based upon above mentioned eight criteria, high level of climate change related potentially vulnerable arboral plants, such as Rhododendron aureum, Taxus caespitosa, Pinus pumila, Oplopanax elatus, Vaccinium uliginosum, and Thuja koraiensis are noticed from at subalpine belt of Mt. Sorak. Species of Abies koreana, Rhododendron tschonoskii, Oplopanax elatus, Taxus cuspidata, Picea jezoensis, and Juniperus chinensis var. sargentii belong to climate change concerned vulnerable species at subalpine belt of Mt. Jiri. High level of climate change related species vulnerability is found at alpine and subalpine belts of Mt. Halla from Diapensia lapponica var. obovata, Salix blinii, Empetrum nigrum var. japonicum, Vaccinium uliginosum, Juniperus chinensis var. sargentii, Taxus cuspidata, Rhamnus taquetii, Abies koreana, Hugeria japonica, Prunus buergeriana, and Berberis amurensis var. quelpartensis. Countermeasures to save the global warming vulnerable plants in situ are required.