• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.119-122
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• 2005

정규식생지수는 일반적으로 식생의 활력도를 나타나는 지표로서 널리 사용되고 있다. 최근에는 정규식생지수가 특정지역의 강우량과 온도의 계절 및 경년변화와 어떤 상관관계를 가지며 기후변화는 식생지수에 어떠한 영향을 미치는지 등에 관한 연구가 활발히 수행되고 있다. 본 연구에서는 1981년부터 2001년까지의 NOAA/AVHRR 영상으로부터 계산된 남한지역 정규식생지수의 주성분 분석을 통해 자료의 공간변화패턴을 분석하고 경험적 직교함수를 이용하여 시간적 변화 양상을 파악하였다. 분석결과 정규식생지수의 공간변화도는 첫 주성분에 의하여 약 $60\%$ 정도 설명되어지며 첫 주성분은 남한지역의 지형 자료 패턴을 따르고 두 번째 주성분은 전체 변화도의 약 $17\%$를 나타내며 강한 남북기울기를 보여주는 것은 계절변화와 상관한 위도변화에 따른 정규식생지수의 변화를 나타낸다. 그리고 소양강댐 및 안동댐 유역의 정규식생지수, 강우량 및 유입량 상관관계 분석 결과 정규식생지수의 계절변화와 경년변화는 강우량의 변화에 그리 민감하지 않은 것으로 나타났다.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.10-20
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• 2019

The purpose of this study is to identify the long-term area changes in the subalpine coniferous forests in Korea in order to understand the changes in the subalpine forest ecosystems vulnerable to climate change. We analyzed 20 years of time-series Landsat satellite images (mid 1990s, mid 2010s) for change detection of coniferous forests and compared with the long term changes of climate information to identify their relationship in the study area. As a result, the area of coniferous forests in the study region decreased by 25% over 20 years. The regions with largest changes are Seoraksan, Baegunsan-Hambaeksan-Jangsan, Jirisan, and Hallasan. The region with the largest decrease in area was Baegunsan (reduced area: 542 ha), and the region with large decrease in area and the largest rate of decrease was Hallasan (rate of decrease: 33.3%). As the Jeju region has the most rapid temperature rise, it is projected that Hallasan is the most vulnerable forest ecosystem affected by climate change. The result of this study shows that from a long-term perspective the overall coniferous forests in the subalpine region are declining, but the trend varies in each region. This national and long-term information on the change of coniferous forests in the subalpine region can be utilized as baseline data for the detailed survey of endangered subalpine coniferous trees in the future.

• 한국지형공간정보학회:학술대회논문집
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• 2002.03a
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• pp.66-73
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• 2002

본 논문은 미국 Oregon 지역을 실험지역으로 하여 LiDAR자료를 이용하여 연안해역 관리 및 해안지역의 각종 분석자료의 기초데이터로 활용하는 방안을 도출하고자 한다. 실험지역은 미국 Oregon주의 남쪽해안에 위치하고 있는 해안지역이며, 해안선이 완만하게 형성이 되어 있다. 본 실험에 이용된 LiDAR 자료는 97년 10월과 98년 4월 2회에 걸쳐 NASA의 ATM(Airbone Topographic Mapper) II를 이용하여 측량을 실시하였다. 연도별로 취득된 해변지역의 표고값을 근거로 하여 연도별 해변의 단면 변화량을 산출하였다. 본 연구를 통하여 연구지역인 미국 Oregon 해변지형의 표고변화는 연도별로 약 0.79m/year 정도 변화가 발생하였다. 또한 국내에서 해안선 측량시 이용가능성 및 해안선 변화 모니터링, 해변 위험지역 및 침식량 산정 등 다양한 분야의 활용가능성을 제시하였다.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.61-61
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• 2004

본 연구는 수도권 농촌지역인 여주 지역의 토지이용 변화, 생활공간 변화, 생활실태의 변화 등을 살펴 급격하게 변화하고 있는 생활공간의 사례를 살펴 지역성을 규명코자 농촌성격이 강한 지목(예; 전, 답, 임야)과 도시적 성격이 강한 지목(대지, 공장용지, 도로용지 등)의 필지변화와 면적변화를 중심으로 토지이용의 변화를 살폈고, 지형도를 통해 과거의 마을에 비해 변해버린 생활ㆍ공간을 추적하였다. 설문지 조사를 통해 주민생활의 실태를 살폈다. (중략)

• Journal of the Korean association of regional geographers
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• v.21 no.2
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• pp.226-241
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• 2015

This research aims to analyse rural change by increasing in urban-to-rural migrants in rural Jeju. In particular, the author analysed changes in rural area focusing on non-agricultural sector and local organization. Urban-to-rural migrants into rural Jeju have been causing increase in tourism business. Such an increase in tourism business caused increase in construction of service space and changes in land use. Meanwhile, the local organization formed by urban-to-rural migrants has differences in its members and its activities and implementing system of activities in comparison with those of native local organizations. The Seowgipo Rural Migrants Cooperative, which is the research target, has characters of urbanism even thoug it was formed in rural area.

• Journal of Climate Change Research
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• v.2 no.4
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• pp.269-281
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• 2011

In this review, numerical model results from global and regional climate models are introduced to regional detailed climate changes over East Asia and Korea. In particular, regional climate change scenarios in this region, which are created by several research groups in Korea based on Special Report on Emissions Scenarios (SRES) of IPCC 4th assessment report are introduced and characteristics of the scenarios are investigated. Despite slight differences in intensity, all scenarios reveal prominent warming over the Korean peninsula in future climate. Changes in precipitation amount vary with given scenarios and periods, but the frequency and intensity of heavy precipitation generally tend to increase in all scenarios. South Korea except for mountainous regions is expected to change into subtropical climate in future, which accompanies distinct changes in ecosystems and seasons.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.419-419
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• 2023

하천의 최종 유출부와 해양이 만나는 지점을 하구라고 하며, 우리나라는 주로 서해안 지역에 하구 방조제 건설에 따른 담수호가 조성되어 다양한 목적으로 수자원이 활용되고 있다. 이러한 하구 담수호는 바다로 유입되기 직전의 물을 저류시켜 수자원 확보에 긍정적이나, 일반적으로 유역의 최하류에 위치해 있어 오염물질 유입, 부영양화, 염분 침출로 인한 오염물질 용출 등에 취약하다. 따라서 담수호의 회복탄력성 향상과 지속가능한 수자원 관리를 위해서는 미래 기후변화에 따른 영향 분석이 필수적이다. 특히 기후변화는 거대규모의 홍수과 같은 자연재난, 농업가뭄 및 식생가뭄 등의 증가로 이어질 수 있으므로, 이에 효과적으로 대비하기 위해서는 미래 기후조건에 따른 하천의 미래 유출량 변화 예측이 수행되어야 한다. 본 연구에서는 불확실한 미래 수문변화를 예측하기 위해 CMIP6(Coupled Model Intercomparison Project Phase 6) GCMs(Global Climate Models)의 SSP(Shared Socioeconomic Pathways) 시나리오를 유역 유출모델에 적용하여 기후변화에 따른 미래 유출특성의 변화를 예측하였다. 충청남도 서산시에 위치한 간월호 유역을 대상유역으로 선정하고, HSPF(Hydrological Simulation Program-FORTRAN) 모형을 적용하여 상류유역의 과거 및 미래 장기유출량 모의를 수행하였다. 모의된 시나리오별 유출량을 기반으로 최빈유량곡선법을 적용하여 미래의 기준유량 발생시점 및 지속기간의 변화를 분석하였으며, CVDs(Center-of-volume dates)의 변화를 통해 기후변화에 따른 홍수기의 시기적 변화 양상을 파악하고자 하였다. 본 연구의 결과는 미래 유역 환경변화를 고려한 담수호의 수자원 보전관리계획 수립에 있어 기초자료로 활용될 수 있을 것으로 기대된다.

• Korean Journal of Environment and Ecology
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• v.32 no.1
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• pp.97-104
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• 2018

This study investigated the effect of forest type changes in Daegu, the hottest city in Korea, on the land surface temperature (LST). The LST change by forest type was analyzed by 2scene of Landsat TM image from 1990 to 2007. The land cover types were classified into 4 types; forest areas, urban areas, cultivated areas and other areas, and water areas. The forest areas were further classified into the coniferous tree areas and the broadleaf tree areas. The result of the statistical analysis of the LST change according to the forest type showed that the LST increased when the forest was changed to the urban area. The LST increased by about $0.6^{\circ}C$ when a broadleaf tree area was changed to an urban area and about $0.2^{\circ}C$ when a coniferous tree area was changed to an urban area. This was the temperature change as the result of the simple type change for 17 years. The temperature change was larger when considering both cases of the forest type being retained and changed. The LST increased by $2.3^{\circ}C$ more when the broadleaf tree areas were changed to the urban areas than when broadleaf trees were maintained. The LST increased by $1.9^{\circ}C$ more when the coniferous tree areas were changed to the urban areas than when the coniferous tree areas were maintained. The LST increased by $0.4^{\circ}C$ more when the broadleaf tree areas were destroyed than when the coniferous tree areas were destroyed. The results confirmed that the protection of broadleaf trees in urban forests was more effective for mitigating climate change.

• Journal of Korean Library and Information Science Society
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• v.47 no.4
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• pp.339-358
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• 2016

This study is to demonstrate that public libraries help community to become an active 'Community of Practice(CoP)'. In order to prove this hypothesis, 'Libraries Transforming Communities(LTC)' initiative of American Library Association is analyzed. Public libraries participating in LTC program solved problems of communities through making CoPs by librarians as a catalyst. People's recognition about public libraries is altered by the problem-solving practice. The followings are 4-level transforming relationship model of public library and community: Leadership Development for Librarian CoPs; Librarian CoPs for improving library services; Community CoPs with library for solving problems; Community as CoP.

• Journal of the Korean Geographical Society
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• v.40 no.3 s.108
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• pp.296-309
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• 2005

In this study, we investigated the change of future land-surface and relationships of land-surface change with geo-spatial information, using a Bayesian prediction model based on a likelihood ratio function, for analysing the land-surface change of the Gongju area. We classified the land-surface satellite images, and then extracted the changing area using a way of post classification comparison. land-surface information related to the land-surface change is constructed in a GIS environment, and the map of land-surface change prediction is made using the likelihood ratio function. As the results of this study, the thematic maps which definitely influence land-surface change of rural or urban areas are elevation, water system, population density, roads, population moving, the number of establishments, land price, etc. Also, thematic maps which definitely influence the land-surface change of forests areas are elevation, slope, population density, population moving, land price, etc. As a result of land-surface change analysis, center proliferation of old and new downtown is composed near Gum-river, and the downtown area will spread around the local roads and interchange areas in the urban area. In case of agricultural areas, a small tributary of Gum-river or an area of local roads which are attached with adjacent areas showed the high probability of change. Most of the forest areas are located in southeast and from this result we can guess why the wide chestnut-tree cultivation complex is located in these areas and the capability of forest damage is very high. As a result of validation using a prediction rate curve, a capability of prediction of urban area is $80\%$, agriculture area is $55\%$, forest area is $40\%$ in higher $10\%$ of possibility which the land-surface change would occur. This integration model is unsatisfactory to Predict the forest area in the study area and thus as a future work, it is necessary to apply new thematic maps or prediction models In conclusion, we can expect that this way can be one of the most essential land-surface change studies in a few years.