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      • 국내육성 오차드그라스 품종들의 캘러스 형성율 및 식물체 재분화 효율

        김기용,강경민,배은경,이인애,임용우,최기준,박근제,손대영,조진기 Plant molecular biology and biotechnology research 2003 Plant molecular biology and biotechnology research Vol.2003 No.-

        Comparisons of callus formation ratios from seed explants, callus sizes, regeneration ratios from callus and regeneration efficiency for 4 orchardgrass (Dactylis glomerata L.) varieties (Three were developed in Korea and one was imported from foreign nation) are as follows; Jangbeol 102 (67.0%) has the highest callus formation ratio in 4 weeks incubated callus after bedding the seed explants, but Potomac (68.4%) has the highest ratio in 6-seek callus. Potomac (3.93cm) has the highest callus size in 4-week callus, but Jangbeol 101 (4.32cm) has the highest size in 6-week callus. Jangbeol 101 (17.7%) has the highest plant regeneration ratio in 4-week callus, but Potomac (37.4%) has the highest raion in 6-week callus. Jangbeol 102 (11.5%) has the highest plant regeneration efficiency in 4-week callus, but Potomac (25.6%) has the highest efficiency in 6-week callus.

      • KCI등재

        Analysis of Land Use Change Impact on Storm Runoff in Anseongcheon Watershed

        Geun Ae Park,In Kyun Jung,Mi Seon Lee,Hyung Jin Shin,Jong Yoon Park,Seong Joon Kim 大韓遠隔探査學會 2008 大韓遠隔探査學會誌 Vol.24 No.1

        The purpose of this study is to evaluate the hydrological impact due to temporal land cover change by gradual urbanization of upstream watershed of Pyeongtaek gauging station of Anseong-cheon. WMS HEC-1 was adopted, and DEM with 200 m resolution and hydrologic soil group from 1:50,000 scale soil map were prepared. Land covers of 1986, 1990, 1994 and 1999 Landsat TM images were classified by maximum likelihood method. The watershed showed a trend that forest & paddy areas decreased and urban/residential area gradually increased during the four selected years. The model was calibrated at 2 locations (Pyeongtaek and Gongdo) by comparing observed with simulated discharge results for 5 summer storm events from 1998 to 2001. The watershed average CN values varied from 61.7 to 62.3 for the 4 selected years. To identify the impact of streamflow by temporal area change of a target land use, a simple evaluation method that the CN values of areas except the target land use are unified as one representative CN value was suggested. By applying the method, watershed average CN value was affected in the order of paddy, forest and urban/residential, respectively.

      • KCI등재

        Analysis of Land Use Change Impact on Storm Runoff in Anseongcheon Watershed

        Park, Geun-Ae,Jung, In-Kyun,Lee, Mi-Seon,Shin, Hyung-Jin,Park, Jong-Yoon,Kim, Seong-Joon The Korean Society of Remote Sensing 2008 大韓遠隔探査學會誌 Vol.24 No.1

        The purpose of this study is to evaluate the hydrological impact due to temporal land cover change by gradual urbanization of upstream watershed of Pyeongtaek gauging station of Anseong-cheon. WMS HEC-1 was adopted, and OEM with 200 m resolution and hydrologic soil group from 1:50,000 scale soil map were prepared. Land covers of 1986, 1990, 1994 and 1999 Landsat TM images were classified by maximum likelihood method. The watershed showed a trend that forest & paddy areas decreased and urban/residential area gradually increased during the four selected years. The model was calibrated at 2 locations (Pyeonglaek and Gongdo) by comparing observed with simulated discharge results for 5 summer storm events from 1998 to 2001. The watershed average CN values varied from 61.7 to 62.3 for the 4 selected years. To identify the impact of streamflow by temporal area change of a target land use, a simple evaluation method that the CN values of areas except the target land use are unified as one representative CN value was suggested. By applying the method, watershed average CN value was affected in the order of paddy, forest and urban/residential, respectively.

      • KCI등재

        ArcHydro를 이용한 GIS기반의 관개시스템 네트워크 모델링 -안고농촌용수구역을 대상으로-

        박근애 ( Geun Ae Park ),박민지 ( Min Ji Park ),장중석 ( Jung Seok Jang ),김성준 ( Seong Joon Kim ) 한국지리정보학회 2007 한국지리정보학회지 Vol.10 No.1

        Network modeling of irrigation system that links irrigation facilities with stream is necessary to establish complicated rural water management system and to manage agricultural water effectively. This study attempted a network modeling for an agricultural water district called ANGO located in Anseongcheon watershed by connecting ArcHydro Model developed to control geographical information data in the field of water resources and AWDS(Agricultural Water Demand & Supply Estimation System) developed by KRC (Korea Rural Community & Agriculture Corporation). Network modeling was embodied by build topology between spatial objects of total 70 agricultural irrigation facilities (24 reservoirs, 18 pumping stations, 28 weirs) and stream network using ArcHydro Model. In addition, new menus were added in ArcGIS system for query and visualization of text-based AWDS outputs such as irrigation facilities information, water demand and supply analysis.

      • 항공사진과 일제시대 지형도를 이용한 경안천 하천변화 추세분석

        박근애 ( Park Geun-ae ),이미선 ( Lee Mi-seon ),신형진 ( Shin Hyeong Jin ),김현준 ( Kim Hyeon-jun ),김성준 ( Kim Seong-joon ) 한국농공학회 2004 한국농공학회 학술대회초록집 Vol.2004 No.-

        본 연구는 경안천유역의 국가하천 및 지방 1, 2급 하천을 대상으로 1966년, 1981년, 2000년 항공사진을 이용하여 정사영상을 생성하고, 하천경계를 추출하여 경년별 하천변화추세를 평가하여 그 원인을 분석하였다. 또한 일제시대 지형도를 이용하여 하천중심선을 추출하고 이를 경년별 하천경계와 비교해보고자 하였다. 1966년, 1981년, 2000년의 정사영상에 대하여 토지이용도를 구축하여 물리적 특성변화를 살펴보았다 본 연구의 결론을 요약하면 다음과 같다. 1. 3개년(1966년, 1981년, 2000년)의 항공사진에 대하여 RMSE가 평균 1.14, 0.65, 0.76pixel로 정사보정되었다. 2. 정사투영영상을 이용하여 3개년의 하천경계를 추출하면, 7개의 하천제방구역(A, B, C, D, E, F, G)에서 가장 큰 하천변화를 보였으며, 이는 팔당댐건설과 제방축조가 원인인 것으로 판단되었다. 3. 3개년도의 정사투영영상에 대하여 국가 및 지방하천경계로부터 500m의 버퍼링을 실시한 후 토지이용도를 6개의 분류항목(수역, 산림, 농지, 주거지, 도로, 모래톱)으로 구축하였다. 주요 토지이용의 변화를 보면, 모래톱, 산림과 농지는 1966년과 2000년 사이에 각각 0.811km<sup>2</sup>, 0.17km<sup>2</sup>, 7.65km<sup>2</sup> 감소하였다. 주거지와 도시는 1966년 0.93 km<sup>2</sup>, 0.30km<sup>2</sup>에서 2000년 7.09km<sup>2</sup>, 1.50로 각각 6.16km<sup>2</sup>, 1.2km<sup>2</sup> 증가하였는데, 이는 1980년대 후반의 하천정비로 인한 하천부지의 도시화와 농지정리가 원인인 것으로 판단된다. 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 inland 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. In addition, topographical map of 1914 - 1915 was used to compare with stream of 1966, 1981 and 2000. 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. The land use maps (1966, 1981, 2000) of riparian areas were also made, respectively and classified into 6 categories (water, forest, agricultural land, urban area, road, sandbar) by digitizing. The main changes of land use were forest, agricultural land, urban area and sandbar are.

      • KCI등재

        SLURP 모형을 이용한 기후, 식생, 토지이용변화가 농업용 저수지 유역과 하천유역에 미치는 기여도 평가(Ⅱ) : 모형의 검 · 보정 및 적용

        박근애(Park Geun-Ae),안소라(Ahn So-Ra),박민지(Park Min-Ji),김성준(Kim Seong-Joon) 대한토목학회 2010 대한토목학회논문집 B Vol.30 No.2B

        본 연구에서는 연구(Ⅰ)에서 구축한 고도, 기상, 토지이용, 토양, 식생과 같은 기본 입력자료와 공도 수위관측소 상류유역을 대상으로 유역내에 포함되어 있는 농업용 저수지인 고삼과 금광저수지의 저수위, 저수량, 내용적 곡선 자료들을 이용하여 SLURP 모형의 물리적 매개변수들과 저수지의 방류량을 조정하여 저수지의 저수위와 유역 유출량을 검 · 보정하였다. 한편, 연구(Ⅰ)에서의 편이보정과 CF 다운스케일기법에 의한 CCCma CGCM2 A2, B2 시나리오의 미래 기후자료, 개선된 CA-Markov 기법에 의한 미래 토지이용자료, 월 NDVI와 평균온도와의 선형회귀식에 의한 미래 식생자료 등을 모형에 입력하여 미래 기후변화에 따른 저수지 저수량과 유입량에 미치는 영향을 평가하고 전체적인 유역 수문(증발산량, 토양수분, 지하수충진량, 유출량)의 변화를 평가하였다. 저수지의 미래 저수량과 유입량은 가을시기에 크게 감소하는 것으로 평가되었고, 유역의 미래 연유출량, 토양수분, 지하수충진량은 다소 감소하고, 증발산량은 크게 증가하는 것으로 전망되었다. 마지막으로, 미래 기후변화, 토지이용변화와 식생변화 중 어떠한 요소가 미래의 농업용 저수지의 유입량, 저수량 및 하천유역의 수문에 큰 영향을 미치는 지를 평가하기 위해 각 요소의 기여도를 분석한 결과, 기후변화가 가장 크게 기여하는 것으로 평가되었다. This study is to assess 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 supply using the SLURP. Before the future analysis, the SLURP model was calibrated using the 6 years daily streamflow records (1998-200398 and validated using 3 years streamflow data (2004-200698 for a 366.5 ㎢ watershed including two agricultural reservoirs (Geumgwang8 and Gosam98located in Anseongcheon watershed. The calibration and validation results showed that the model was able to simulate the daily streamflow well considering the reservoir operation for paddy irrigation and flood discharge, with a coefficient of determination and Nash-Sutcliffe efficiency ranging from s 7 to s 9 and 0.5 to s 8 respectively. Then, the future potential climate change impact was assessed using the future wthe fu data was downscaled by nge impFactor method throuih bias-correction, the future land uses wtre predicted by modified CA-Markov technique, and the future ve potentiacovfu information was predicted and considered by the linear regression bpowten mecthly NDVI from NOAA AVHRR ima ps and mecthly mean temperature. The future (2020s, 2050s and 2e 0s) reservoir inflow, the temporal changes of reservoir storaimpand its impact to downstream streamflow watershed wtre analyzed for the A2 and B2 climate change scenarios based on a base year (2005). At an annual temporal scale, the reservoir inflow and storaimpchange oue, anagricultural reservoir wtre projected to big decrease innautumnnunder all possiblmpcombinations of conditions. The future streamflow, soossmoosture and grounwater recharge decreased slightly, whtre as the evapotransporation was projected to increase largely for all possiblmpcombinations of the conditions. At last, this study was analysed contribution of weather, vegetation and land use change to assess which factor biggest impact on agricultural reservoir and stream watershed. As a result, weather change biggest impact on agricultural reservoir inflow, storage, streamflow, evapotranspiration, soil moisture and groundwater recharge.

      • 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.

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