• Water for future
• /
• v.52 no.8
• /
• pp.93-100
• /
• 2019

• Water for future
• /
• v.52 no.4
• /
• pp.16-36
• /
• 2019

• Korean Journal of Ichthyology
• /
• v.26 no.3
• /
• pp.153-158
• /
• 2014

A natural intergeneric hybrid between Rhodeus pseudosericeus and Acheilognathus signifer was collected in their sympatric area, the Jucheongang (stream), the Namhangang (river), Korea. Morphological characters as well as mitochondrial cytochrome b (mt-cyb) gene were investigated to confirm the natural hybrid origin. In the comparison of morphological characters, the natural hybrid appeared to have intermediate characters between two parental species in several key characters such as the band of dorsal fins, the color pattern of body, and the body spot and stripe. Also, the collected specimen had an incomplete lateral line with a large number of pored scales. In analysis of mt-cyb gene, it revealed that the maternal species of the natural hybrid appeared to be R. pseudosericeus due to their 100% sequence identity. Thus, such results gave convincing evidence for the occurrence of a natural intergeneric hybrid between Rhodeus pseudosericeus and Acheilognathus signifer.

• The Korean Journal of Ecology
• /
• v.23 no.3
• /
• pp.273-279
• /
• 2000

This study was conducted to clarify the characteristics of bird community in Han River area from Oct. 1997 to Jul. 1998. Total 107 bird species were recorded in Han River area. Bird mainly distributed around Kangdong Bridge, Paldang Dam, Yangsuri, Haengju Bridge, Sungsan Bridge, and Bam island. The area between Dongiak Bridge and Youngdong Bridge showed the lowest the density of birds. The dominant birds of Han River area were the dabbling ducks, which were Anas platyrhynchos and A. poecilorhyncha. Diving ducks were distributed in the Dongiak Bridge, Youngdong Bridge, and estuary area. Grebes, Gulls, Herons, and Coots were also dominant bird species. Cormorants, Swans, Sandpipers, and Plovers were minor birds in Han River area. Maintenance and management of various micro-habitats are needed for habitation of bird community in Han River area.

• Proceedings of KOSOMES biannual meeting
• /
• 2006.11a
• /
• pp.205-208
• /
• 2006

Based on SAR signatures for bars, bar transformation is investigated from 2000 to 2005, and monitoring of suspended-silt transportations from terrestrial runoff is tried to understand the morphology during the events of severe rain storm. SAR data did not reveal clearly the bar locations because of most of data acquisitions during high tides form 6.8 m to 9.0 m. Even though the problem, it could be said that in the estuary vegetated area and natural levees are developed well, but bars are shifted after an event like a flood. It is also showed that suspended solids such as silt transported through the estuary could contributed highly to a sedimentation environment around Incheon. A navigational route could be designed with a minimum width of about 200m.

• Proceedings of KOSOMES biannual meeting
• /
• 2007.11a
• /
• pp.57-60
• /
• 2007

The Han River is divided into North and South Korea by NLL(Northern Limit Line) and its area has been blocked by CCL(Civil Control Line) since the Korean War in 1950. Satellite remote sensing, therefore, is uniquely suited to monitoring bar transformation in the region. In river with bar, the characteristics of its physical conditions have a close relationship with bar morphology. In this paper, a monitoring approach of bar transformation in the Han River Estuary is presented using RADARSAT/SAR images from 2000 to 2005 and spatial patterns of bar morphology are presented. It could be said that in the estuary vegetated area and natural levees are developed well, but bars are shifted after an event like a flood. It is also showed that suspended solids such as silt transported through the estuary could contribute highly to a sedimentation environment around Incheon.

• Journal of Korea Water Resources Association
• /
• v.42 no.7
• /
• pp.513-523
• /
• 2009

The measuring point of the Hangang Bridge affected by tide has some special topographic characteristics due to Nodle Island. Furthermore the submerged weirs located on the upstream and downstream. Therefore flow is separated and joined by Nodle Island. Discharge measurement at the point of the Hangang Bridge is very important, because Hangang Bridge is key station in managing the discharge and flood forecasting. In the past, it was too difficult to measure discharge in tidal conditions. HRFCO(Han River Flood Control Office) installed automatic discharge measurement facilities for solving this problem. Measuring equipments operates and measures discharge every 10 minutes at 2 points(southern and northern section close to Nodle Island), and calculates flow discharge using Chiu's velocity law(Chiu, 1988). In order to verify the results of automatic discharge measurements, manual discharge measurements were carried out by ADCP. In addition, the monthly discharge were also compared.

• Journal of Korea Water Resources Association
• /
• v.31 no.4
• /
• pp.483-490
• /
• 1998

The possibility of water transfer from Han river basin to Nakdong river basin by connecting them is studied as an alternative to solve water shortage problem in Nakdong river basin. After estimating the amount of water shortage from Nakdong river basin, the amount of water surplus from Han river basin is estimated by using simulation and optimization techniques. HEC-5 is used to study small to medium size reservoirs as a simulation technique and dynamic programming is used to study multi-purpose reserviors as an optimization technique. Also, the cost of the interbasin water transfer from Han river basin to Nakdong river basin is also compared with that of constructing new reserviors in Nakdong river basin. If new reservoirs are constructed in Nakdong river basin as planned, water supply can satisfy various water demands until 2021 without the interbasin water transfer. In economic point of view, constructing new reserviors has an advantage over the interbasin water transfer.

• Journal of Korea Water Resources Association
• /
• v.34 no.2
• /
• pp.119-130
• /
• 2001

At-site and regional frequency analyses of annual maximum 1-, 2-, and 3-days rainfall in Han River basin was performed and compared based on the regional L-moments algorithm. To perform regional frequency analysis, Han River basin was subdivided into 3 sub-basins such as South Han River, North Han River, and downstream regions. For each sub-basin, the discordancy and homogeneity tests were performed. As the results of goodness of fit tests, lognormal model was selected as an appropriate probability distribution for both South Han River and downstream regions and gamma-3 model for North han River region. From Monte carlo simulation, RBIAS and RRMSE of the estimated quantiles from regional frequency analysis and at-site frequency analysis were calculated and compared each other. Regional frequency analysis shows less RRMSE of the estimated quantiles than at-sites frequency analysis in overall return periods. The differences of BRMSE between two approaches increase as the return period increases. As a result, it is shown that regional frequency analysis performs better than at-site analysis for annual maximum rainfall data in Han River basin.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2019.05a
• /
• pp.377-377
• /
• 2019

본 연구에서는 LSTM 모형을 이용하여 갈수예보를 위한 월 단위 전망모형개발의 대상지점으로 이수 및 치수의 측면에서 아주 중요한 한강대교 지점을 선정하였으며 유량예보를 위하여 한강수계 19개 기상관측소의 월평균강수량, 월평균기온 및 3개 댐(소양,횡성,충주)의 월방류량을 사용하여 한강대교의 월 유량을 예측하였다. 1996년부터 2016년까지의 자료는 모형의 학습, 2017년 자료는 모형의 검증에 활용하였으며 가장 최근 건설된 횡성댐 방류량의 경우 1996년~2000년의 자료가 없으므로 2001년~2005년의 자료를 반복하여 학습에 활용하였다. 모형의 예측결과는 신경망 학습 시 한강대교 월유량자료를 포함한 결과와 미포함 결과를 도출하였으며, 모의결과의 재현성 분석을 위하여 월별 예측값과 실측값의 비율을 산정하였으며 1월부터 12월까지 12개 값을 평균하여 평균예측률을 산정하고 이를 홍수기(6월~10월) 및 비홍수기(1월~5월, 11월~12월)를 구분하였다. 딥러닝 학습 시 월유량을 포함한 경우의 예측결과가 학습 시 월유량을 포함하지 않았을 경우보다 상대적으로 좋은 정확도를 보이는 것으로 분석되었다. 다만, 신경망을 실제 갈수예보에 활용하기 위해서는 예측 기상정보인 월강우량, 월평균기온, 댐방류량만을 활용하여야 하는데 학습 시월유량 미포함 결과는 예측률이 매우 낮았으며, 신경망의 학습횟수가 늘어날 경우 학습자료 과적합(over-fitting)되어 정확도가 보다 저하되는 것으로 나타났다. 그래서 기존의 현재시간 t까지의 입력자료로 학습 후 익월(t+1)의 월유량을 예측하는 (t $\rightarrow$ t+1) 방법에서 현재시점 (t-n ~ t)까지의 입력자료를 이용하여 당월(t)의 월유량을 산정하는 (t$\rightarrow$t) 방법으로 재학습 후 모형검증을 수행한 결과 전술한 익월(t+1) 유량을 예측한 결과보다 재현성이 훨씬 향상된 것으로 분석되며평균예측률이 0.99로 홍수기 및 비홍수기에서도 뛰어난 정확성을 보이고 있다.