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박근애,박종윤,신형진,박민지,김성준,Park, Geun-Ae,Park, Jong-Yoon,Shin, Hyung-Jin,Park, Min-Ji,Kim, Seong-Joon 한국농공학회 2010 한국농공학회논문집 Vol.52 No.6
The effect of potential future climate change on the storage rate of paddy field during storm periods (June - September) was assessed using the daily paddy water balance model. The CCCma CGCM2 data by SRES (special report on emissions scenarios) A2 and B2 scenarios of the IPCC (intergovernmental panel on climate change) was used to assess the future potential climate change. The future weather data for the year 2020s, 2050s and 2080s was downscaled by Change Factor method through bias-correction using 30 years weather data. The future (2020s, 2050s and 2080s) rainfall, storage and irrigation of paddy field, runoff in paddy levee and ponding depth were analyzed for the A2 and B2 climate change scenarios based on a base year (2005). The future irrigation change of paddy field was projected to increase by decrease in rainfall. So, runoff change in paddy levee was decrease slightly, future storage change of paddy was projected to increase.
Analysis of River Channel Morphology and Riparian Land Use Changes Using Aerial Photographs and GIS
박근애,이미선,김현준,김성준,Park, Geun-Ae,Lee, Mi-Seon,Kim, Hyeon-Jun,Kim, Seong-Joon The Korean Society of Agricultural Engineers 2005 한국농공학회논문집 Vol.47 No.2
This study is to trace the change of stream shape using the past series of aerial photographs, and to compare the land use changes of riparian area along the stream. For the Gyeongan national stream, aerial photographs of 1966, 1981 and 2000 were selected and ortho-photographs were made with interior orientation and exterior orientation, respectively. Apparent changes of the stream were found that the consolidated reaches of stream by levee construction became straight together with widening of their stream widths. Especially the stream width of inlet part of Paldang lake widened almost twice because of the rise of water level by dam construction in 1974. The land use of riparian areas of three selected years were classified into six categories (water, forest, agricultural land, urban area, road, sandbar) by digitizing method. The forest and agricultural lands decreased and urban area increased as the stream maintenance had been performed.
WMS HEC-1을 이용한 안성천 유역의 경년 수문 변화 분석
박근애 ( Park Geun-ae ),김성준 ( Kim Seong-joon ) 한국농공학회 2002 한국농공학회 학술대회초록집 Vol.2002 No.-
The purpose of this study is to evaluate the hydrological impact due to temporal land cover change urbanization of Anseong-cheon watershed (585.09㎢). WMS (Watershed Modeling System) HEC-1 was adopted, and burned DEM with 200×200m resolution and soil map reclassified by hydrologic soil groups were prepared. Land cover for 1985, 1990, 1995 and 2000 were classified by maximum likelihood method, using Landsat MSS and TM imageries. Calibration and verification of HEC-1 were conducted using 4 storm events. Peak flow at Pyeong taek station increased 25.9㎥/sec during the past 15 years due to paddy and forest decrease. Streamflow impact by just paddy area decrease and forest area decrease were also analysed keeping watershed CN values unchanged of the given year, respectively.
박근애 ( Park Geun-ae ),이미선 ( Lee Mi-seon ),김현준 ( Kim Hyeon-jun ),김성준 ( Kim Seong-joon ) 한국농공학회 2003 한국농공학회 학술대회초록집 Vol.2003 No.-
This study is to trace the change of stream shape using the past series of aerial photographs and compare the land use changes of inland along the stream. For the Gyeong-an national stream, aerial photographs of 1966, 1981 and 2000 was selected and ortho photograph was made with RMSE of 1.25, 0.54, 0.72 pixels, respectively. As apparent changes of the stream, the consolidated reaches of stream with levee construction were straightened and their stream width widened. Especially the stream width of inlet part of Paldang lake was widened almost twice because of the rise of water level by dam construction in 1974.
SLURP 모형을 이용한 기후, 식생, 토지이용벼노하가 농업용 저수지유역과 하천유역에 미치는 기여도 평가(Ⅰ) : 모형의 입력자료 구축
박근애(Park Geun-Ae),이용준(Lee Yong-Jun),신형진(Shin Hyung-Jin),김성준(Kim Seong-Joon) 대한토목학회 2010 대한토목학회논문집 B Vol.30 No.2B
본 연구에서는 기후변화를 평가하기 위해 장기수문유출모형인 SLURP 모형이 선택되었으며, 모형의 적용성을 평가하기 위하여, 고도, 기상, 토지이용, 토양, 식생과 같은 기본 입력 자료를 구축하였고 공도 수위관측소 상류유역을 대상으로 유역 내에 포함되어 있는 농업용 저수지인 고삼과 금광저수지를 고려하기 위하여 저수위, 저수량, 내용적 곡선 자료를 수집하였다. 한편, 미래 기후변화를 분석하기 위해 미래 기상, 토지이용, 식생자료를 구축하였다. 미래 기상자료는 IPCC에서 제시하고 있는 SRES 특별보고서에 의한 GCMs 중 CCCma CGCM2 A2, B2 시나리오 결과자료를 수집한 후, 편이보정(bias correction) 및 CF(Change Factor) 다운스케일 기법을 적용하여 각 기상관측소별 기상자료를 재구축하였으며, 미래 토지이용자료는 과거 토지이용자료를 이용하여 개선된 CA-Markov기법에 의해 전망하였다. 또한 미래 식생자료는 NOAA/AVHRR을 이용하여 구축한 과거의 월 NDVI와 평균온도와의 선형 회귀식을 이용하여 기후변화 시나리오별 월 NDVI를 구축하였다. The effect of potential future climate change on the inflow of agricultural reservoir and its impact to downstream streamflow by reservoir operation for paddy irrigation water was assessed using the SLURP (semi-distributed land use-based runoff process), a physically based hydrological model. The fundamental input data (elevation, meteorological data, land use, soil, vegetation) was collected to calibrate and validate of the SLURP model for a 366.5 ㎢ watershed including two agricultural reservoirs (Geumgwang and Gosam) located in Anseongcheon watershed. Then, the CCCma CGCM2 data by SRES (special report on emissions scenarios) A2 and B2 scenarios of the IPCC (intergovernmental panel on climate change) was used to assess the future potential climate change. The future weather data for the year, m ms, m5ms and 2amms was downscaled by Change Factor method through bias-correction using 3m years (1977-2006) weather data of 3 meteorological stations of the watershed. In addition, the future land uses were predicted by modified CA (cellular automata)-Markov technique using the time series land use data fromFactosat images. Also the future vegetation cover information was predicted and considered by the linear regression between monthly NDVI (normalized difference vegetation index) from NOAA AVHRR images and monthly mean temperature using eight years (1998-2006) data.
박근애 ( Park Geun Ae ),박민지 ( Park Min Ji ),신형진 ( Shin Hyung Jin ),김성준 ( Kim Seong Joon ) 한국농공학회 2007 한국농공학회 학술대회초록집 Vol.2007 No.-
This study assesses the effect of potential future climate change on the inflow of agricultural reservoir using the SLURP (Semi-distributed Land Use-based Runoff Process), a physically based semi-distributed hydrological model. Two SRES (Special Report on Emissions Scenarios) climate change scenarios (A2 and B2) results of CCCma CGCM2 by the IPCC (Intergovernmental Panel on Climate Change) were applied and future land uses were predicted by CA (Cellular Automata) - Markov technique using the land use data of past Landsat images. The SLURP model was calibrated using daily streamflow records of 1998, 1999 and 2006 and validated using 2002 and 2004 streamflow data in the upstream watershed of Gongdo gauging station of Anseong-cheon including Geumgwang and Gosam agricultural reservoir. The calibration and validation results showed that the model was able to simulate the daily streamflow well, with a coefficient of determination and Nash-Sutcliffe efficiency ranging from 0.8 to 0.9 and 0.5 to 0.8, respectively, for both the calibration and validation periods. Future vegetation cover information in the model was also considered by the linear regression between monthly NDVI (Normalized Difference Vegetation Index) from NOAA/AVHRR images and monthly mean temperature using eight years (1998 - 2005) data. The results show that the 2030, 2060 and 2090 inflow of Geumgwang and Gosam agricultural reservoir decreased 49.6 %, 45.6 % and 51.8 %, and 55.8%, 52.6% and 60.6% comparing with the 2004 inflow, respectively. In addition, the streamflow of Gongdo gauging station watershed decreased 53.0%, 48.8% and 57.2%, respectively.
요인분석 및 CA-Markov기법을 이용한 미래의 도시화 진행 양상 예측기법 개발
박근애 ( Geun-ae Park ),김성준 ( Seong-joon Kim ) 한국농공학회 2007 한국농공학회논문집 Vol.49 No.6
This study is to predict the spatial expansion of urban areas by applying CA (Cellular Automata)-Markov technique considering MCE (multi-criteria evaluation) and MOLA (multi-objective land allocation) of factor analysis. For the 10 administration districts (3677.3 ㎢) including the whole Anseong-cheon watershed, the past six temporal land use data (1973, 1981, 1985, 1990, 1994, 2000) from Landsat satellite images were prepared. During this period, the urban area increased 233.71 ㎢. Using the 36 indices composed of topological characteristics, population and land use change, the final factor map of MOLA was produced through 5 maps of MCE. Using 1990 and 1994 land use data, the 2000 predicted urban area of CA-Markov with factor map showed 0.06 % improvement of absolute error comparing with that of CA-Markov without factor map. By the CA-Markov technique considering factor map, the 2030 and 2060 urban area increased 58.94 ㎢ (0.78 %) and 60.14 ㎢ (0.81 %) respectively comparing with 2000 urban area (313.19 ㎢). The 2030 and 2060 paddy area decreased 93.28 ㎢ (2.54 %) and 93.65 ㎢ (2.55 %) respectively comparing with 2000 paddy area (1383.23 ㎢).