• Title/Summary/Keyword: 위천

Search Result 78, Processing Time 0.021 seconds

A Study on the Estimation of Effective Precipitation using Detailed Soil Map (정밀토양도를 이용한 유효강우량 산정에 관한 연구)

  • Kim, Kyung-Tak;Choi, Yun-Seok
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.7 no.2
    • /
    • pp.1-15
    • /
    • 2004
  • For the simulation of flow phenomenon that calculate basin outflow, it is required to estimate effective precipitation which contributes to direct runoff. This paper is focused on using detailed soil map which is one of the data required to estimate effective precipitation by SCS CN method. Korean detailed soil map must be reclassified as SCS hydrologic soil group when it is applied to SCS CN method. In this study, Korean detailed soil maps which are reclassified as SCS hydrologic soil group by the methods of Her and Jung (1987) and Jung et al. (1995) are applied to flow simulation and the results are analyzed. The study sites are Wichon watershed and Pyungchang river basin which are studied by International Hydrological Program(IHP). HEC-1 and WMS v6.1 are used to simulate flow phenomenon and calculate geographic parameters. The difference of flow analysis results from each soil reclassification method is different from each sites. But the results of flow analysis approximate observed data by using Jung et al. (1995) method more than Her and Jung (1987) method.

  • PDF

Discharge Estimation at Ungauged Catchment Using Distributed Rainfall-Runoff Model (분포형 강우-유출 모형을 이용한 미계측 중소유역의 유량 추정)

  • Choi, Yun-Seok;Kim, Kyung-Tak;Shim, Myung-Pil
    • Journal of Korea Water Resources Association
    • /
    • v.43 no.4
    • /
    • pp.353-365
    • /
    • 2010
  • Generally, river discharge is measured at flood forecasting points, upstream dam points, large rivers, and important points over a basin, and it is hard to estimate discharge of medium or small stream and small catchment. Physically based rainfall-runoff model with geographical parameters can simulate discharge at all the points within a basin with optimized parameters for a point in the basin. In this study, GRM (Grid based Rainfall-runoff Model) calibrated at the outlet is applied. The discharge at upstream point is estimated and the possibility of model regionalisation is examined for ungauged catchment of small or medium stream within a river system. Wicheon and Boksu watershed in Nakdonggang (Riv.) and Yudeungcheon (Riv.) respectively are selected. The discharge at Miseong and Sindae station is simulated with the parameters estimated at Museong and Boksu station. The results of Miseong and Sindae station show good agreement with observed hydrographs in peak discharge and peak time and consistently linear relationships with high correlations in discharge volume, peak discharge, and peak time. And it shows GRM could be applied to estimate discharge at ungauged catchments along a river system.

Applicability Analysis of Flood Forecasting in Nakdong River Basin using Neuro-Fuzzy Model (Neuro-Fuzzy 모형에 의한 낙동강유역의 홍수예측 적용성 분석)

  • Rho, Hong-Sik;Kim, Tae-Hyung;Kim, Pan-Gu;Han, Kun-Yeun;Choi, Seung-Yong
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2012.05a
    • /
    • pp.642-642
    • /
    • 2012
  • 최근에 들어 지구온난화에 따른 기후변화의 영향으로 국지성 집중호우와 돌발성 호우가 한반도 뿐 아니라 전 세계적으로도 많이 나타나고 있고, 그로 인한 이상홍수의 발생이 우리나라의 인명 및 재산피해를 날로 증가시키고 있는 추세이다. 그러나 현재 국내의 홍수방어시스템은 정확도 및 선행시간 확보 등의 측면에서 국민들의 요구수준까지는 그 역할을 수행하지 못하고 있는 실정이다. 또한 최근 4대강 살리기 사업을 통해 수행된 보 설치 및 하도 준설로 인해 하천환경의 변화가 크게 발생하여, 보다 정확하고 신속한 홍수위 예측기법이 요구되고 있는 실정이다. 이에 따라 현재 4대강 홍수통제소에서는 정확한 홍수위예측을 위해 4대강 본류 및 주요 지류에 대해 수리모형을 구축하고 있고, 기존의 저류함수모형에 의한 강우-유출 해석기법을 적용하여 주요 지류에 대한 유입량을 산정하기 위한 모형을 구축중에 있다. 국내 홍수방어 시스템에 현재까지 사용되어 오고 있는 저류함수모형 및 수위-유량 관계식을 이용한 방법은 물리적 기반의 홍수예측모형으로 유역의 지형학적 인자와 그에 따른 여러 변수를 포함하기 때문에 하천환경의 변화로 인해 각각의 추적과정에서 오차들이 발생하여 해석결과에 영향을 미치는 단점이 있다. 이에 반해 데이터 기반 모형은 강우-유출 모형에서 사용되는 많은 수문학적 자료 및 매개변수들의 사용 없이 오직 수위 및 강우측정 자료만을 이용하여 홍수를 예측하는 모형이다. 본 연구에서는 낙동강 유역에 대해 보다 정확한 홍수위 예측을 위해 현재 낙동강홍수통제소에서 구축중인 낙동강 본류의 수리모형의 주요 지류의 유입량 산정을 위해 기존의 물리적 기반 모형이 아닌 뉴로-퍼지(Neuro-Fuzzy) 모형을 이용한 data 기반 모형을 적용해 기존 물리적 기반 모형과 비교 분석 하고자 하였다. 낙동강의 주요지류인 감천, 금호강, 남강, 내성천, 밀양강, 반변천, 위천, 황강을 적용유역으로 선정하여 유역별로 티센망을 구축하였고, 각 지류별로 수위관측소를 선정하여 최근 10년동안 낙동강유역의 홍수예 경보가 발령되었거나 많은 비가 온 사상을 선정해 모형을 검증하였다. 모형은 실시간 수위측정 자료와 강우자료 및 해당유역 댐의 방류량 자료를 이용해 유역별 최적 입력자료 조합을 선정하여 간단하게 구축할 수 있었다. 또한 10분 단위 및 30분 단위의 입출력 자료로 모형을 구축하여 비교하였다. 이번 연구에서 수행한 낙동강유역에서의 뉴로-퍼지(Neuro-Fuzzy) 모형을 이용한 홍수예측기법을 통해 몇가지 data만으로 유역의 주요지점에 대한 홍수위와 홍수량을 예측할 수 있음을 확인할 수 있었다. 모의 결과는 실측치와 비교해 정확도 면에서 우수함을 보여 주었으나 예측시간이 길어질수록 실측치의 경향을 벗어나는 결과를 보였다. 그러나 실시간 홍수예 경보에 있어서는 만족할만한 선행시간을 확보할 수 있었다. 구축된 Data 기반 모형이 물리적 기반 모형과 더불어 낙동강 홍수예 경보를 위한 모형으로 사용될 수 있다면 보다 효율적인 예 경보 체계 구축에 도움을 줄 수 있을 것으로 판단된다.

  • PDF

Estimation of Watershed Parameters and Runoff Computation Using GIS (GIS를 이용한 유역매개변수의 추정 및 유출량 산정)

  • Lee, Im-Keun;Ahn, Kyung-Soo
    • Journal of Korea Water Resources Association
    • /
    • v.40 no.1 s.174
    • /
    • pp.11-24
    • /
    • 2007
  • There exist various difficulties in runoff analysis due to many ungauged basins in Korea and the runoff phenomena is also more and more complicated by the change of geologic characteristics due to the urbanization. So, we use GIS technique which is widely used in hydrologic field and cell runoff concept for the fast and effective runoff simulation. This study uses the observations of 6 stage stations in Wi-Cheon watershed and simulates the watershed parameters by using WMS model. We construct DEM by the grids which are consisted based on the criteria of minimum area according to land use. The cell runoff is estimated by an average weighted method using mean annual streamflow and mean maximum daily streamflow obtained from six stage stations. The runoff ratio at arbitrary site is estimated by conducting the direction analysis of streamflow and by removing sinkhole. We compare the simulated and observed runoffs and know that the simulated runoff shows the valid results. So, we could use the geographical information and cell runoff concept for more fast and effective runoff simulation studies.

Assessment of Biological Water Quality Using Epilithic Diatoms in the Upper Region of Nakdong River (낙동강 상류 수계에서 부착돌말류를 이용한 생물학적 수질 평가)

  • Choi, Jaesin;Chae, Hyunsik;Kim, Han-Soon
    • Journal of Environmental Impact Assessment
    • /
    • v.28 no.2
    • /
    • pp.169-182
    • /
    • 2019
  • This study assessed biological water quality using epilithic diatoms in the Yeong river, Naeseong stream and Wi stream in the upper region of the Nakdong river from May to October 2016. Epilithic diatoms were not mobile, so they could reflect long-term water quality. The sampled epilithic diatoms were identified a total 158 taxa which were composed to 2 orders, 3 suborders, 8 families, 34 genera, 143 species and 15 varieties. Dominant species were Achnanthes convergens and Achnanthes minutissima at Yeong river, Nitzschia inconspicua at Naeseong stream, and Achnanthes minutissima, Cocconeis placentula var. lineata and Navicula minima at Wi stream. As a result of the CCA, Electrical conductivity, total nitrogen and total phosphorus were important factors determining the diatom species composition in the upper region of the Nakdong river. The correlation between diatom indices (DAIpo & TDI) measured to be high in the correlation coefficient (0.87) from the result of correlation analysis. In the result of the assessment of biological water quality using DAIpo and TDI, Yeong river was rated as class A at most sites. Naeseong stream was rated as class C to D at all sites except for N1 which was rated as Class A. Wi stream was rated as class B to C for DAIpo of W1, and TDI was rated as class D. The assessment of biological water quality at this site showed inferior TDI result compared to that of DAIpo. DAIpo and TDI of W2 were rated as class A to D, and the water quality has changed a lot. W3 and W4 were mostly rated as class B and C respectively.

Geographic Distribution of Periphyton Diatom Species: A Case Study of Achnanthes convergens in Nakdong River Basin (낙동강 수계 청수성 부착조류의 공간분포 특성에 관한 연구: Achnanthes convergens 를 사례로)

  • Jo, Myung-Hee;Byun, Myeung-Sub;Sim, Jun-Seok;Jang, Sung-Hyun
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.17 no.3
    • /
    • pp.175-194
    • /
    • 2014
  • This study attempts to identify the spatial distributions of Achnanthes convergens, and elucidate the environmental factors that affect the Periphyton diatom habitat. Data in 250 points of Nakdong river basin are collected between April(primary) and September(secondary) 2012, with the National Institute of Environmental Research's support. We define "clean area" over 10% of Achnanthes convergens appearance, and the others as "non-clean areas". Spatial statistics of Kriging, Hotspot, LISA are used in this study. Results show that 1) 56 points are identified as clean areas in the primary survey, while 41 points are discovered in the following survey; 2) using water quality variables, density of turbidity(clean $101.83{\mu}s/cm$; non-clean $598.48{\mu}s/cm$) and conductivity(clean 1.95 NTU; nonclear 5.58 NTU) are five-fold lower in clean-areas; 3) Habitat and Riparian Factors in Nakdong basin illustrate that natural sand bar, diversity of velocity, sediment condition, levee material, riverside land affect Achnanthes convergens; 4) Hotspots of Achnanthes convergens are located in watersheds, including upper Andong Dam, upper Imha dam, Wi-cheon, Miryang river, Nam river and Hwang river whereas mainstream/downstream of Nakdong river and Keumho river watershed are shown as coldspots.

Gastric Dilatation and Volvulus in Shih-tzu (시츄에서 발견된 위확대염전)

  • Moon, Joon Ho;Kim, Hyun Ah;Ryu, Minok;Jang, Min;Ji, Seoyeon;Lee, Inhyung;Yoon, Junghee;Choi, Mincheol;Youn, Hwayoung;Lee, Byeong Chun;Jang, Goo
    • Journal of Veterinary Clinics
    • /
    • v.32 no.3
    • /
    • pp.255-258
    • /
    • 2015
  • Gastric dilatation and volvulus (GDV) is an acute and life-threatening disease most commonly affecting large- and giant-breed dogs. However a 17-year-old Shih-tzu (4 kg, spayed female) was hospitalized for acute GDV. Repeated unproductive retching, lethargy, and excessively enlarged abdomen were observed. Physical examination indicated that the patient had suffered from hypothermia ($36.5^{\circ}C$), tachycardia (240 bpm), slowed capillary refill time (> 2 sec.), and pale mucous membrane. Grade III murmur with normal lung sound was auscultated. Abdominal palpation revealed that tympanic regions existed in both the left and right sides. Systolic blood pressure decreased gradually from 220 to 40 mmHg within 4 hours. In blood analysis, slight azotemia was observed by blood urea nitrogen (BUN; 29.1 mg/dl) and creatinine (1.6 mg/dl). Blood lactate concentration (8.13 mmol/l) was severely elevated. Additionally, dilatation and volvulus of the stomach was observed by radiograph. Supportive oxygen, heat, fluid, and drugs were administered with gastric decompressions (e.g., gastrocentesis and nasogastric tube). However the patient entered into comatose status with uncontrollable systolic blood pressure, despite the administration of dobutamine intravenously. The case was closed by euthanasia, considering welfare and age. We finally diagnosed the patient as a GDV, thus this is the first GDV case report in small-breed dog such as Shih-tzu.

An Analysis on the Usability of Unmanned Aerial Vehicle(UAV) Image to Identify Water Quality Characteristics in Agricultural Streams (농업지역 소하천의 수질 특성 파악을 위한 UAV 영상 활용 가능성 분석)

  • Kim, Seoung-Hyeon;Moon, Byung-Hyun;Song, Bong-Geun;Park, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.22 no.3
    • /
    • pp.10-20
    • /
    • 2019
  • Irregular rainfall caused by climate change, in combination with non-point pollution, can cause water systems worldwide to suffer from frequent eutrophication and algal blooms. This type of water pollution is more common in agricultural prone to water system inflow of non-point pollution. Therefore, in this study, the correlation between Unmanned Aerial Vehicle(UAV) multi-spectral images and total phosphorus, total nitrogen, and chlorophyll-a with indirect association of algal blooms, was analyzed to identify the usability of UAV image to identify water quality characteristics in agricultural streams. The analysis the vegetation index Normalized Differences Index (NDVI), the Normalized Differences Red Edge(NDRE), and the Chlorophyll Index Red Edge(CIRE) for the detection of multi-spectral images and algal blooms collected from the target regions Yang cheon and Hamyang Wicheon. The analysis of the correlation between image values and water quality analysis values for the water sampling points, total phosphorus at a significance level of 0.05 was correlated with the CIRE(0.66), and chlorophyll-a showed correlation with Blue(-0.67), Green(-0.66), NDVI(0.75), NDRE (0.67), CIRE(0.74). Total nitrogen was correlated with the Red(-0.64), Red edge (-0.64) and Near-Infrared Ray(NIR)(-0.72) wavelength at the significance level of 0.05. The results of this study confirmed a significant correlations between multi-spectral images collected through UAV and the factors responsible for water pollution, In the case of the vegetation index used for the detection of algal bloom, the possibility of identification of not only chlorophyll-a but also total phosphorus was confirmed. This data will be used as a meaningful data for counterplan such as selecting non-point pollution apprehensive area in agricultural area.