• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.474-474
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• 2023

최근 기후변화로 강우량이 증가하면서 복잡한 수위, 소류력, 유속이 나타나는 하천의 만곡에서 여유고를 초과하여 호안의 유실 및 제방의 파괴가 발생하고 있다. 이러한 현상을 예방하기 위해 1차원 홍수유출 모형을 이용하여 직선하도의 수위와 유속 등을 계산하고 분석할 수 있으나, 주로 만곡부가 나타나는 사행하도의 편수위와 소류력, 유속을 고려하지 못한다. 따라서 만곡부의 수리 특성을 해석하기 위해서는 2차원의 수위, 유속의 급격한 흐름변화를 효과적으로 계산할 수 있는 홍수유출 모형이 필요한 실정이다. 본 연구에서는 강원도 삼척시에 위치한 오십천을 연구대상 지역으로 하여 2차원의 수리특성 분석이 가능한 Iber 모형을 적용하였다. 연구대상 하천을 5m 간격의 유한요소망으로 구성하고 DEM의 고도 값을 입력 하였으며, 하천정비기본계획에서 제시한 빈도별 홍수량을 적용하여 편수위, 소류력, 유속 등의 수리특성을 분석하였다. 그 결과 만곡부에서 최대 1.7m의 편수위가 발생해 여유고를 초과하는 결과가 나타났다. 유속과 소류력은 비례하는 경향을 나타내면서 만곡의 중앙보다는 외측에 집중되는 특징이 나타났다. 향후 하천의 만곡부에서 범람이 발생하면 하천 인근 지역의 피해를 예방하는 방안으로 2차원 모형이 도입되면 피해를 저감 할 수 있을 것으로 기대된다.

• Korean Journal of Environmental Agriculture
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• v.30 no.3
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• pp.268-274
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• 2011

BACKGROUND: A large scale of sediment load delivered from watershed causes substantial waterway damages and water quality degradation. Controlling sediment loading requires the knowledge of the soil erosion and sedimentation. The various factors such as watershed size, slope, climate, land use may affect sediment delivery processes. Traditionally sediment delivery ratio prediction equations have been developed by relating watershed characteristics to measured sediment yield divided by predicted gross erosion. However, sediment prediction equations have been developed for only a few regions because of limited sediment data. Besides, little research has been done on the prediction of sediment delivery ratio for asia monsoon period in mountainous watershed. METHODS AND RESULTS: In this study Tank model was expanded and applied for estimating sediment yield to Oship River of east coast. The rainfall-runoff in 2006 was verified using the Tank model and we derived good result between observed and calculated discharge in 2009 at the same conditions. In relation to sediment yield, the sediment delivery rate of 2006 was very high than 2009 regardless of methods for estimating sediment load. It was thought to be affected by heavy rainfall due to the typhoon. CONCLUSION(s): For estimating sediment volume from watershed, long-term monitoring data on discharge and sediment is needed. This model will be able to apply to predict discharge and sediment yield simultaneously in ungauged area. This approach is more effective and less expensive method than the traditional method which needs a lot of data collection.

• Parasites, Hosts and Diseases
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• v.23 no.1
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• pp.123-139
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• 1985

The present survey was undertaken to observe the geographical distibution of matacercaria among the sweetfish, Plecoglossus altivelis, the most important second intermediate host of Metagonimus yokegawai, which were collected during the period from 1983 to 1984 in south-eastern coastal areas of Korea. The results obtained were summarized as follow: 1. A total of 668 sweetfish collected from 70 chins (=streams) in the above coastal arcus was examined for the metacercariae, and 432 (64.7%) among them were infected with metacercariae of M. yokogawai. The mean number of metacercariae in a fish was in the range from 0 to 29,604 and the mean number of the metacercariae in a fish was 640.3. 2. It was observed that the mean infection rate showed 46.45 in Gangweon-Do (=province) . The infection rates varied from stream to stress showing 100% in Namdae stream(Gangnun-city) , Obsib stream (Samchok-gun) and Dongmak, 95.0% in Hosan stream, 90.0% in Gungchin stream, and Namdae stream (Yangyang-fp) ,80.0% in Hwasang stream,50.0% in Daebong stream,45.0% in Yonghwa stream, 30.0% in sangchsn stream and Sachsn stream, 20.0% in Munam stream and Okgyoe stream, 15.0% in Imweon stream, 10.0% in Namchsn stream. And no metacercarial infections in their fish host were found in the areas of Mulchi stream, Sangun stream, Gosamun stream, Jonchon stream and Gagok stream. 3. It was observed that the mean infection rate showed 50.9% in Kyangsangbuk-Do (=province). The infection rates also varied from stream to stream showing 100% in Songchon stream, Osib stream (Yongdok-gun) and Daejong stream,60.0% in Pyanghae stream and Gunmu stream,50.0% in Buhwung stream and stream, 25.0% in Nagok stream, 20.0% in Oangbi stream, 10.0% in Namhodong stream. And no metacercarial infections in their fish host were found in the areas of Namdae stream (Uljinup) and Chaksan stream. 4. It was observed that the mean infection rate showed 67.6% in Kyangsangnam-Do(=province). The infection rates varied from stream to stream showing 100% in Taehwa river, Hwiya river, Inchfn stream, Miryang river, Nam river, Hwagae stream, Koha stream, Sosang stream, and Tongchon stream,90.9% in Yancho stream,90.0% in Hoihwa stream,80.0% in Chindong stream, 66. YoA in Chingyo stream, 40.0% in Hoyam river. And no metacercarial infections in their fish host were found in the areas of Chinjon stream, Sanchan stream and Jukch6n stream. 5. It was observed that the mean infection rate showed 94.6"A in 0h511anam-Do(=province). The infection rates varied from stream to stream showing 100% in DongchEn stream, Isachon stream, Somjin river(GoksEng-gun) , Ssmjin river(Kurye-gun) , S6si stream, Gokchsn stream, Kohung stream, Kwansan stream, Youi stream, stream, Unj6n stream and Apnae stream, 92.3% in Tamjin river, 90.9% in Okkok stream, 84.6% in Songgen stream. And no metacercarial infections in their fish host were found in the area of Ypmgpl stream. 6. On the other hand, the infection rate showed 100% in Inchsn river of Chollabuk Do (=province) (=province) and Kangsn stream of Cheju-Do(=province) .

• Journal of Environmental Health Sciences
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• v.28 no.2
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• pp.51-60
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• 2002

Concerning the water quality management plan about Buk-stream, Ohsip-stream and Gagok-stream water systems in this research, which objectives of abstract is as follows. The result of cleanness degree evaluation of water quality in this research, the first grade was 91% shared in Buk-stream water system. The most point of the middle and upper stream of Buk-stream was maintain extremely clean water quality. Among the researched water system, the first grade of water quality in Ohsip-stream water system was most poor, its first garde rate was 68%. In all water quality check point of Gagog-stream water system was accomplished extremely clean water quality condition of first grade of BOD. The calculation result of pollutant loading density, which were 8.2, 21.5, 4.0kg/day.$\textrm{km}^2$. respectively and basin of Buk-stream and Gagok-Stream have high development potentiality.

• Spatial Information Research
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• v.15 no.3
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• pp.291-299
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• 2007

Kangwon province has been suffering from the various types of disasters and these disasters stand in the way to sustainable development. The heavy rainfall by typhoon RUSA in 2002 damaged to property and bodily injury, and gave us a lesson. In this paper the rainfall-runoff was estimated on the viewpoint of economic aspect to give new prominence of water resource management. As a result, it is found that economic loss of water resource in Oship river of Samcheok city due to typhoon Rusa in 2002 was estimated 55,919,850 Won.

• Journal of the Korean Geographical Society
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• v.37 no.3
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• pp.222-236
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• 2002

The Osip-cheon river flowing on the east side of the Taeback mts. has formed river terraces on the several heights along the middle- and downstream. The river terraces are classified into 5 climatic ones and 7 thalassostatic ones. The thalassostatic ones are found to the height of 145-l50m level at 20-30m intervals. These vertical distribution is caused by the continuous uplift and periodical rise and fall of the sea-level. The high higher surfaces among the thalassostatic ones are the highest among those of Korea. The chronologies of the terraces are correlated to the marine oxygen isotope stages : The thalassostatic terraces on the level of 40 m.a.s.l. are to the stage 7, 70 m.a.s.l.. to the stage 9, 90 m.a.s.l. to the stage 9, 110 m.a.s.1. to the stage 11 and those of 150 m.a.s.1. to the stage 15 among the Interglacial Ages. The landuses and geomorphic landscapes of the Samchok area are chracteristic, because the karst landforms, such as doline and uvala, are developed on the surfaces of the middle-, the higher- and the high higher surfaces of river terrace.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.943-943
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• 2012

태백산맥의 중심부인 중앙산맥을 경계로 하여 동쪽에 위치하고 있는 영동지방은 서쪽으로 태백산맥이, 동쪽으로는 동해바다와 바로 인접해 있는 지리적인 특성으로 인해 지역적 특성이 매우 강하며, 이에 따라 국지적 기상현상이 계절적 변화와 함께 빈번히 발생하는 지역이다. 2002년 태풍 루사가 영동지방을 강타했을 때 영동지방의 대표도시인 강릉지방에서는 기록적인 폭우(일최다 강수량 870.5mm)가 내렸으며, 그 다음해인 2003년 매미 뿐 아니라 최근발생하고 있는 국지적인 호우로 인한 영동지방의 피해가 지속적으로 발생하고 있다. 이러한 상황에서도 수문학적 관점에서의 홍수유출 및 강우특성에 대한 분석 및 연구가 거의 전무한 실정이다. 이것은 대상지역인 영동지방 특히 삼척오십천 유역내의 강우 및 수위 관측소가 간헐적으로 분포되어 있으며, 강우 및 수위(유량)자료의 확보가 용이하지 않기 때문으로 사료된다. 본 연구에서는 동해 강릉 기상레이더(2010.5 동해기상레이더 교체 이전)의 레이더강우자료와 지상강우 및 수위(유량)자료를 활용하고, 집중형 모형에 비해 더 정확한 강우-유출 현상 모의가 가능한 것으로 분석되고 있는 분포형 모형(Vflo$^{TM}$)을 이용하여 분석하였다. 먼저 영동지역 중 첫번째로 삼척오십천유역에 대한 유출분석을 하였으며, 과거 큰 홍수피해를 준 태풍 루사 매미 및 최근의 호우사상을 대상으로 하였다. 본 논문에서 연구된 삼척오십천유역에 대한 유출특성 분석을 시작으로, 양양남대천 강릉남대천에 대한 유출특성에 대한 연구를 추가로 수행된다면, 영동지방의 국지적 기상현상(집중호우 및 태풍)으로 인한 홍수피해를 최소화 할 수 있는 방재측면에서의 홍수대응방안을 마련하는데 본 연구내용을 충분히 활용할 수 있을 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.206-206
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• 2023

지구온난화로 인한 기후변화에 따라 평균강수량과 증발량이 증가하며 강우지역 집중화와 강우강도가 높아질 가능성이 크다. 우리나라의 경우 협소한 국토면적과 높은 인구밀도로 기후변동의 영향이 크기 때문에 한반도에 적합한 유역규모의 수자원 예측과 대응방안을 마련해야 한다. 이를 위한 수자원 관리를 위해서는 유역에서 강수량, 유출량, 증발량 등의 장기적인 자료가 필요하며 경험식, 물리적 강우-유출 모형 등이 사용되었고, 최근들어 연구의 확장성과 비 선형성 등을 고려하기 위해 딥러닝등 인공지능 기술들이 접목되고 있다. 본 연구에서는 ASOS(동해, 태백)와 AWS(삼척, 신기, 도계) 5곳의 관측소에서 2011년~2020년까지의 일 단위 기상관측자료를 수집하고 WAMIS에서 같은 기간의 오십천 하구 일 유출량 자료를 수집 후 5개 관측소를 기준으로Thiessen 면적비를 적용해 기상자료를 구축했으며 Angstrom & Hargreaves 공식으로 잠재증발산량 산정해 3개의 모델에 각각 기상자료(일 강수량, 최고기온, 최대 순간 풍속, 최저기온, 평균풍속, 평균기온), 일 강수량과 잠재증발산량, 일 강수량 - 잠재증발산량을 학습 후 관측 유출량과 비교결과 기상자료(일 강수량, 최고기온, 최대 순간 풍속, 최저기온, 평균풍속, 평균기온)로 학습한 모델성능이 가장 높아 최적 모델로 선정했으며 일, 월, 연 관측유출량 시계열과 비교했다. 또한 같은 학습자료를 사용해 다층 퍼셉트론(Multi Layer Perceptron, MLP) 앙상블 모델을 구축하여 수자원 분야에서의 인공지능 활용성을 평가했다.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.61-66
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• 2023

In this study, we analyzed the flooded area around Samcheok Middle School caused by typhoons MAYSAK·HAISHEN in September 2020. To analyze the confluence of Samcheok Osipcheon, local stream Deungbongcheon, we utilized Iber, a two-dimensional hydraulic model. We simulated the water depth and flood extent based on the peak flows on September 3 and September 7, 2020, and the 80 year and 100 year frequency floods. The simulation results showed that the 80-year frequency flood and the 100-year frequency flood on September 7 were insignificantly different, but the maximum flow rate from September 3 to September 7 was significantly different at 401 m³/s, resulting in a difference of 0.8 m in water depth and 7.1 m² in flood area. In addition, the analysis that considered only the contour lines using contour lines predicted inundation of not only the Samcheok Middle School playground but also the building, confirming the need to apply DSM.

• Korean Journal of Ichthyology
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• v.20 no.3
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• pp.179-189
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• 2008

Standard length (SL) and gonadosomatic index (GSI) of Plecoglossus altivelis were investigated from March to October 2007 in Seomjin River and streams flowing to the East Sea, Korea. Water temperatures were $17{\sim}23^{\circ}C$ during the spawning season, which ran from late September to early November in Seomjin River and early August to mid-October in streams flowing to the East Sea. The GSI and HSI variations of ayu population in Seomjin River increased earlier than in populations in streams flowing to the East Sea with similar variation in water temperature. Histological study of ovaries showed that the start of spawning of P. altivelis in Seomjin River was later than in streams flowing to the East Sea. Overall, fecundity increased with increase in SL and not by site specificity. The SL of P. altivelis increased as the river scale increased. Mean length of specimens from Seomjin River (river length: 223.86 km, river area: $4,911.89km^2$) was $194{\pm}15.3mm$, from Osip Stream (55.76 km, $393.78km^2$) $185{\pm}15.5mm$, from Yangyang Namdae Stream (54 km, $474.08km^2$) $142{\pm}11.8mm$, and from Joosoo Stream (21.1 km, $141.47km^2$) $136{\pm}16.7 mm$.