• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.170-170
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• 2021

본 연구에서는 토지이용변화 예측 모형으로 산출된 토지이용도를 사용하여 용담댐 소유역의 지표유출량을 비교 및 분석하였다. 토지이용예측모형은 DynaCLUE 모형을 사용하였으며, 토지이용 면적 시나리오는 2000년, 2007년 및 2013년 실제 중분류 토지이용도를 기반으로 회귀식을 산정하였다. 모의된 토지이용도는 실제 토지이용도와 공간적인 분포 및 면적 비교를 통해 변환 탄성계수와 변환 행렬을 수정하여 검·보정하였다. DynaCLUE 모형으로 모의된 토지이용도는 공간적인 분포에서 초지가 실제 토지이용도와 차이가 발생하였으나, 각 토지이용별 면적을 비교한 경우 모의 토지이용도와 실제 토지이용도가 매우 유사하게 나타났다. CLUE 모형으로 모의된 토지이용도에서 발생하는 공간적인 불확실성은 복잡한 용담댐 소유역의 토지이용을 반영할 Driving factor가 부족하여 발생하는 것으로 판단된다. 산출된 모의 토지이용도를 SWAT 모형의 입력 자료로 사용하여 2013년 용담댐의 소유역 지표유출량을 모의하였다. SWAT으로 산정된 유출량의 보정은 SWAT-CUP의 SUFI-2 알고리즘을 이용했으며, 보정된 모의 지표유출량과 실제 유량 측정값을 비교한 결과 유의미한 비교 결과가 나타났다. 향후 토지이용예측모형을 이용하여 토지이용 변화를 수문 분석에 반영하는 추가 연구가 필요할 것으로 판단된다.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.14 no.6
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• pp.119-130
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• 2011

Land-use changes have made considerable impacts on humans and nature such as biodiversity and ecosystem services. It is recognized as important elements for land use planning and regional natural resources conservation to identify the major causes of land use changes and to predict a process of changes and effects. This study, by using a spatially explicit Dyna-CLUE model, analyzed correlations between driving factors, quantified location characteristics of different land use types using logistic regression analysis and examined future land use changes and its effects in Yangpyeong and Yeoju region. We expected land use changes based on the three scenarios with different future land demands and simulated future changes for spatial variations of land use for the 20 years. The outcomes shows that larger change was found in agricultural areas than forest areas, based on the change in built-up areas. The changes in forest areas, which were mainly occurred in edge area, were expected to affect a large impact on its ecotone. It was found to be the importance of the management of forest edge and the necessity of the environmentally sound and sustainable development in order to conserve natural resources of the region.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.90-90
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• 2015

최근 우면산 산사태 및 2011, 2012년 서울, 경기권의 집중호우로 전국에서 홍수피해가 빈번하게 발생하고 있다. 이러한 홍수피해는 기후변화 및 도시화의 영향으로 미래에 더욱 빈번하게 발생할 것으로 전망된다. 홍수피해를 저감하기 위해 기후변화 재해취약성 분석, 방재지구 지정 의무화, 지역별 방재성능목표 설정 등 다양한 홍수 분석방법 및 정책이 수립?운영되고 있다. 하지만, 토지이용 변화 및 토지이용별 공간분포 고려, 미래 국토변화 데이터의 불확실성 저감, 유역단위의 홍수분석 등은 개선할 필요가 있다. 본 연구에서는 현행 기후변화 홍수분석방법 및 정책의 개선사항을 검토하여 국토변화를 고려한 홍수분석 방법을 개발했고, 사례유역을 대상으로 적용했다. 미래 토지이용변화 및 토지의 공간적인 특성을 반영하기 위해 과거 토지이용변화 추세선, 토지이용변화 시나리오 도출, 개발제한 지역 및 입지특성을 고려한 토지이용의 공간적인 특성을 도출하여 미래 토지이용 데이터를 구축하는 방법을 제시했다. 미래 데이터의 불확실성을 저감하기 위해서는 과거 장기 강우데이터와 기후변화 시나리오 데이터를 비교하고, 보정 및 검증을 수행하는 방법을 제시했다. 이렇게 구축된 미래 데이터를 활용하여 일련의 국토변화를 고려한 홍수분석 방법을 제시했다. 홍수분석결과인 최대홍수량이 그 지역의 홍수위험은 아니지만, 현재 대비 미래의 최대홍수량 변화는 홍수 위험과 밀접한 관련이 있다. 본 연구에서 제시된 다양한 방법들을 현행 기후변화 홍수 관련 분석방법 및 정책에 포함하면, 신뢰성있는 데이터를 획득하고 향후 정량화된 홍수위험을 분석하는데 도움이 될 것으로 기대하고 있다.

• Journal of The Korean Society of Agricultural Engineers
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• v.53 no.6
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• pp.31-41
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• 2011

This study was conducted to predict future land-cover changes under climate change scenarios and to cluster analysis of regional land-cover characteristics. To simulate the future land-cover according to climate change scenarios - A1B, A2, and B1 of the Special Report on Emissions Scenarios (SRES), Dyna-CLUE (Conversion of Land Use Change and its Effects) was applied for modeling of competition among land-use types in relation with socioeconomic and biophysical driving factors. Gyeonggi-do were selected as study areas. The simulation results from 2010 to 2040 suggested future land-cover changes under the scenario conditions. All scenarios resulted in a gradual decrease in paddy area, while upland area continuously increased. A1B scenario showed the highest increase in built-up area, but all scenarios showed only slight changes in forest area. As a result of cluster analysis with the land-cover component scores, 31 si/gun in Gyeonggi-do were classified into three clusters. This approach is expected to be useful for evaluating and simulating land-use changes in relation to development constraints and scenarios. The results could be used as fundamental basis for providing policy direction by considering regional land-cover characteristics.

• Journal of Ecology and Environment
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• v.34 no.2
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• pp.203-214
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• 2011

The objectives of this research were to predict land-use/land-cover change at the Sakaerat Environmental Research Station (SERS) and to analyze its consequences on the distribution for Black-crested Bulbul (Pycnonotus melanicterus), which is a popular species for bird-watching activity. The Dyna-CLUE model was used to determine land-use allocation between 2008 and 2020 under two scenarios. Trend scenario was a continuation of recent land-use change (2002-2008), while the integrated land-use management scenario aimed to protect 45% of study area under intact forest, rehabilitated forest and reforestation for renewable energy. The maximum entropy model (Maxent), Geographic Information System (GIS) and FRAGSTATS package were used to predict bird occurrence and assess landscape fragmentation indices, respectively. The results revealed that parts of secondary growth, agriculture areas and dry dipterocarp forest close to road networks would be converted to other land use classes, especially eucalyptus plantation. Distance to dry evergreen forest, distance to secondary growth and distance to road were important factors for Black-crested Bulbul distribution because this species prefers to inhabit ecotones between dense forest and open woodland. The predicted for occurrence of Black-crested Bulbul in 2008 covers an area of 3,802 ha and relatively reduces to 3,342 ha in 2020 for trend scenario and to 3,627 ha for integrated-land use management scenario. However, intact habitats would be severely fragmented, which can be noticed by total habitat area, largest patch index and total core area indices, especially under the trend scenario. These consequences are likely to diminish the recreation and education values of the SERS to the public.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.33-49
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• 2015

The objective of this study was to predict land use change based on the land use change scenarios for the Hwangguji river watershed, South Korea. The land use change scenario was derived from the representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The CLUE (conversion of land use and its effects) model was used to simulate the land use change. The CLUE is the modeling framework to simulate land use change considering empirically quantified relations between land use types and socioeconomic and biophysical driving factors through dynamical modeling. The Hwangguji river watershed, South Korea was selected as study area. Future land use changes in 2040, 2070, and 2100 were analyzed relative to baseline (2010) under the RCP4.5 and 8.5 scenarios. Binary logistic regressions were carried out to identify the relation between land uses and its driving factors. CN (Curve number) and impervious area based on the RCP4.5 and 8.5 scenarios were calculated and analyzed using the results of future land use changes. The land use change simulation of the RCP4.5 scenario resulted that the area of urban was forecast to increase by 12% and the area of forest was estimated to decrease by 16% between 2010 and 2100. The land use change simulation of the RCP8.5 scenario resulted that the area of urban was forecast to increase by 16% and the area of forest was estimated to decrease by 18% between 2010 and 2100. The values of Kappa and multiple resolution procedure were calculated as 0.61 and 74.03%. CN (III) and impervious area were increased by 0-1 and 0-8% from 2010 to 2100, respectively. The study findings may provide a useful tool for estimating the future land use change, which is an important factor for the future extreme flood.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.2
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• pp.77-86
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• 2012

This study was aim to predict future land-cover changes and to analyze regional land-cover changes in irrigation areas and agricultural reservoir watersheds under climate change scenario. To simulate the future land-cover under climate change scenario - A1B of the SRES (Special Report on Emissions Scenarios), Dyna-CLUE (Conversion of Land Use Change and its Effects) was applied for modeling of competition among land-use types in relation to socioeconomic and biophysical driving factors. For the study areas, 8 agricultural reservoirs were selected from 8 different provinces covering all around nation. The simulation results from 2010 to 2100 suggested future land-cover changes under the scenario conditions. For Madun reservoir in Gyeonggi-do, total decrease amount of paddy area was a similar amount of 'Base demand scenario' of Water Vision 2020 published by MLTMA (Ministry of Land, Transport and Maritime Affairs), while the decrease amounts of paddy areas in other sites were less than the amount of 'High demand scenario' of Water Vision 2020. Under A1B scenario, all the land-cover results showed only slight changes in irrigation areas of agricultural reservoirs and most of agricultural reservoir watersheds will be increased continuously for forest areas. This approach could be useful for evaluating and simulating agricultural water demand in relation to land-use changes.