• Title/Summary/Keyword: 수문특성분석

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Hydrological Characteristics of the Underground Discharge at Moolgol in Dokdo, Korea (독도 물골 지하유출수의 수문학적 특성)

  • Woo, Nam C.;Lee, Dong Y.;Park, Jong H.;Kim, Yoon B.;Woo, Min S.;Park, Chan H.
    • Economic and Environmental Geology
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    • v.55 no.1
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    • pp.45-51
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    • 2022
  • Whether Dokdo can sustain human habitation or economic life of their own plays an important role to the legal status of the island in the international maritime law. This study reports the hydrological survey results regarding the water resource of the island occurred at Moolgol in Seodo. The amount of underground discharge at Moolgol was estimated at least 1.1 m3/d, conforming the results of previous studies. Based on the oxygen and hydrogen isotope ratios of water, the discharge appeared to originate from precipitation, and about 36% of the daily precipitation moves fast to the Moolgol through the joints developed in the volcanic bedrocks. Quality of the discharged water shows relatively higher concentrations in Cl and NO3 to be used for drinking and domestic purposes, probably affected by the sea spray and waves from surrounding sea and the birds' excretion such as black-tailed gulls.

High-resolution medium-range streamflow prediction using distributed hydrological model WRF-Hydro and numerical weather forecast GDAPS (분포형 수문모형 WRF-Hydro와 기상수치예보모형 GDAPS를 활용한 고해상도 중기 유량 예측)

  • Kim, Sohyun;Kim, Bomi;Lee, Garim;Lee, Yaewon;Noh, Seong Jin
    • Journal of Korea Water Resources Association
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    • v.57 no.5
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    • pp.333-346
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    • 2024
  • High-resolution medium-range streamflow prediction is crucial for sustainable water quality and aquatic ecosystem management. For reliable medium-range streamflow predictions, it is necessary to understand the characteristics of forcings and to effectively utilize weather forecast data with low spatio-temporal resolutions. In this study, we presented a comparative analysis of medium-range streamflow predictions using the distributed hydrological model, WRF-Hydro, and the numerical weather forecast Global Data Assimilation and Prediction System (GDAPS) in the Geumho River basin, Korea. Multiple forcings, ground observations (AWS&ASOS), numerical weather forecast (GDAPS), and Global Land Data Assimilation System (GLDAS), were ingested to investigate the performance of streamflow predictions with highresolution WRF-Hydro configuration. In terms of the mean areal accumulated rainfall, GDAPS was overestimated by 36% to 234%, and GLDAS reanalysis data were overestimated by 80% to 153% compared to AWS&ASOS. The performance of streamflow predictions using AWS&ASOS resulted in KGE and NSE values of 0.6 or higher at the Kangchang station. Meanwhile, GDAPS-based streamflow predictions showed high variability, with KGE values ranging from 0.871 to -0.131 depending on the rainfall events. Although the peak flow error of GDAPS was larger or similar to that of GLDAS, the peak flow timing error of GDAPS was smaller than that of GLDAS. The average timing errors of AWS&ASOS, GDAPS, and GLDAS were 3.7 hours, 8.4 hours, and 70.1 hours, respectively. Medium-range streamflow predictions using GDAPS and high-resolution WRF-Hydro may provide useful information for water resources management especially in terms of occurrence and timing of peak flow albeit high uncertainty in flood magnitude.

Evaluation of the Accuracy of IMERG at Multiple Temporal Scales (시간 해상도 변화에 따른 IMERG 정확도 평가)

  • KIM, Joo-Hun;CHOI, Yun-Seok;KIM, Kyung-Tak
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.102-114
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    • 2017
  • The purpose of this study was the assessment of the accuracy of Global Precipitation Measurement (GPM) Integrated Multi-Satellite Retrievals for GPM (IMERG), a rainfall data source derived from satellite images, for evaluation of its applicability to use in ungauged or inaccessible areas. The study area was the overall area of the Korean peninsula divided into six regions. Automated Surface Observing System (ASOS) rainfall data from the Korean Meteorological Administration and IMERG satellite rainfall were used. Their average correlation coefficient was 0.46 for a 1-h temporal resolution, and it increased to 0.69 for a 24-h temporal resolution. The IMERG data quantitatively estimated less than the rainfall totals from ground gauges, and the bias decreased as the temporal resolution was decreased. The correlation coefficients of the two rainfall events, which had relatively greater rainfall amounts, were 0.68 and 0.69 for a 1-h temporal resolution. Additionally, the spatial distributions of the ASOS and IMERG data were similar to each other. The study results showed that the IMERG data were very useful in the assessment of the hydro-meteorological characteristics of ungauged or inaccessible areas. In a future study, verification of the accuracy of satellite-derived rainfall data will be performed by expanding the analysis periods and applying various statistical techniques.

Adequacy Evaluation and Analysis of Discharge Measurement in Tributary Gaging Station by Analyzing Loop Rating Pattern Considering Backwater - For the Nam River and the Geumho River - (배수영향을 고려한 고리형 수위-유량관계 분석을 통한 지류 수위관측소의 유량관측 적절성 평가 및 분석 - 남강 및 금호강을 대상으로 -)

  • Kim, Kyung Dong;Kim, Dongsu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.96-97
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    • 2019
  • 최근 홍수파 또는 댐 및 보 등의 하천구조물과, 본류와 지류의 합류로 인해 발생하는 배수영향 등으로 하천에 고리형 수위-유량관계가 나타나 수위-유량관계식의 신뢰도가 저하된다고 판단되는 대하천 본류와 합류부 인근 지류에서 초음파유속계 측정결과를 지표로 활용하는 자동유량장치가 현재 58개소에 도입되어 운용되고 있다. 그러나, 최근 4대강 사업으로 다기능보 설치 등 하천의 수리적 특성이 변동하였고, 지류에서 주로 운용되는 수위-유량관계 기반 유량관측소에 본류-지류합류로 인한 배수영향으로 고리형 수위-유량관계가 형성될 경우, 지류 수위관측소를 자동유량관측소로 대체할 필요성이 제기되고 있다. 또한, 기존 자동유량관측소의 경우 홍수량이 기준이하로 나타날 경우 수위-유량 관계식으로 대체하는 경우도 있는데 적용기준이 명확하지 않다. 본 연구에서는 신규 자동유량장치 설치, 기존 수위관측소의 자동유량관측소대체, 자동유량관측소에서 수위-유량관계곡선의 활용 기준 마련 등을 명확하게 판단하기 위해 고리형 수위-유량관계 패턴을 분석하고 배수영향구간을 산정하여 제시하고 지류 수위관측소의 존속여부, 유량자료의 적절성을 판단할 수 있는 방법론을 제시 하고자한다. 이를 위해, 다기능보 설치 및 지류-본류로 인한 지류하천의 배수영향과 홍수파에 의한 고리형 수위-유량관계의 양상을 다양한 수문사상에 대해 분석하였다. 분석방법으로는 대상유역을 선정하고, 대상유역에 대한 부정류 모형을 구축하기 위해 HEC-RAS 모형을 사용하고, 대상유역에 대한 HEC-RAS 지형자료와 유량입력자료를 구축한다. HEC-RAS 부정류 모형 구축 후 다양한 본류와 지류의 유량을 가정하여 고리형 수위-유량 발생 패턴을 분석한다. 지류-본류 합류 영향의 경우, 본류영향의 유무를 고려하여 상승된 수위의 비율로부터 일정 유의수준을 두어 배수영향구간을 산정한다. 다기능보의 영향은 다기능보 설치 전후를 가정하여 영향을 분석한다. 본 연구에서는 시범구역으로 하류에 창녕함안보가 위치한 낙동강과 합류하는 남강과 하류에 달성보가 위치한 낙동강과 합류하는 금호강을 대상하천으로 하여 위 분석방법을 적용하였다. 분석결과 남강의 경우 지류 유량이 작은 경우에도 본류 유량이 상대적으로 큰 경우 배수영향에 의한 고리형이 나타났고, 다기능보에 의한 배수영향은 매우 적은 것으로 나타났다. 또한, 지류의 유량이 큰 경우 홍수파에 의한 고리형 관계도 발생함을 알 수 있었다. 금호강의 경우 또한 마찬가지로 본류의 유량에 의해 발생하는 고려형 관계가 지배적임을 알 수 있었다. 따라서 이러한 결과를 바탕으로 95%의 유의 수준을 기반으로 고리형 발생 여부를 확일할 수 있는 모노그래프를 남강, 금호강에 대해 작성하여 수위-유량관계 기반 유량 산정의 적절성을 판단하는 기준으로 제안하였다.

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Projection of Temporal and Spatial Precipitation Characteristic Change in Urban Area according to Extreme Indices (극한기후 지수에 따른 도시지역의 시공간적 강우 특성 변화 전망)

  • Soo Jin Moon;In Hee Yeo;Ji Hoon Choi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.316-316
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    • 2023
  • 2022년 8월 수도권 이상폭우로 인해 서울 도심지역의 지하시설, 도로, 주택 등에 침수가 발생하면서 인명 및 재산피해가 발생하였으며, 특히 동서로 가로지르는 정체전선으로 좁고 긴 비구름이 집중되면서 국지적으로 피해가 집중되었다. 서울시의 경우 도시화에 따른 불투수지역 증가 및 내수배제 불량에 따른 빗물 역류로 인한 피해가 지속적으로 발생하고 있으며, 최근에는 기후변화에 따른 방재성능목표 강우량을 초과하는 빈도의 이상폭우로 인해 하천범람과 내수배제 불량에 따른 복합적인 원인으로 침수피해 가중되고 있는 실정이다. 또한 서울시의 경우 전체 자연적, 사회적, 경제적, 환경적 요인 등의 지역적 편차가 매우 큰 도시로 지형적인 특성뿐만 아니라 취약시설(병원, 학교 등), 수방시설물(하천, 배수시설, 빗물펌프장 등) 및 방재시설(대피소, 구호소 등) 밀도 등에 따른 침수 취약성 및 위험성 등의 편차가 매우 크기 때문에 지역특성에 대한 피해사례가 다원화 되고 있는 실정이다. 본 연구에서는 30년 이상의 종관기상관측(ASOS)과 서울시 자치구별 20년 이상의 방재기상관측(AWS)자료를 기반으로 CMIP6 SSP(Shared Socioeconomic Pathways, 공통사회 경제경로)시나리오에 따른 극한기후 지수(강수강도, 호우일수, 지속기간, 1일 최대강수량, 95퍼센타일 강수일수 등)에 대한 재현성을 평가하고 공간자기상관분석 등 시공간적인 강우특성에 대한 변화를 전망하였다. 특히 여름철 강우의 경우 자치구별 편차가 크게 나타났고 이를 통해 대도시의 도심지역의 경우 세분화하여 지역의 정확한 강우특성을 파악하는 것이 필요하다는 것을 확인할 수 있었다. 본 연구의 결과는 도심지의 방재성능 초과강우 정의와 기준을 수립하고, 장기적인 수자원 및 도시계획 차원의 대책을 마련하는데 활용될 수 있을 것으로 판단된다. 기후위기에 따른 기록적인 호우(지역별 방재성능을 초과하는 강우)에 따른 재해는 구조적인 대책을 통해 모두 저감할 수 없는 한계가 있다. 하지만 인명피해를 최소화하는 것을 목표로 기후위기에 대한 적응단계로 인식하고 수리·수문학적, 사회경제학적 등 지역특성에 따른 방재성능목표 강우량에 대한 재검토와 더불어 법제도(풍수해보험, 저류조설치 의무화 등), 개인별 재해예방, 취약계층 안전망 확보, 반지하주택 침수안전대책, 재해지도 개선 등 구조적/비구조적인 대책을 통합 수립 및 보완하는 것이 필요한 시점이다.

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Analysis of Soil Erosion Hazard Zone using GIS (GIS를 이용한 토양침식 위험지역 분석)

  • Kim, Joo-Hun;Kim, Kyung-Tak;Yeon, Gyu-Bang
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.2
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    • pp.22-32
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    • 2003
  • The purpose of this study is to analyze soil erosion quantity of a basin by using DEM, soil map and landuse map and to find a soil erosion hazard zone in a basin based on this data. In this study, RUSLE was used to analyze soil loss quantity and the research area chosen is Mushim stream which branches off the Geum river. This study used a mean annual precipitation of Cheongju Meteorological Observation was used as a hydrological data and DEM, the detailed soil map(1/25,000), the landuse map collected respectively from Ministry of Environment, National Institute of Agricultural Science and Technology and Ministry of Construction and Transportation. The subject map was drawn to analyze soil erosion hazard zone by using the above data and maps. According to the results of the analysis, a lot of soil loss shows in a bare area. In case of a forest, a slope has a lot of influence on soil loss. The integration and analysis of the above gave the result that $193,730.3m^2$corresponding to 8.5% of the places of which the slope is over 20 degree in a bare area was found to have a higher chance of soil erosion.

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A Study on the Improvement of Huff's Method for Applying in Korea : II. Improvement of Huff's Method (Huff 강우시간분포방법의 개선방안 연구 : II. Huff 방법의 개선방안)

  • Jang Su-Hyung;Yoon Jae-Young;Yoon Yong-Nam
    • Journal of Korea Water Resources Association
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    • v.39 no.9 s.170
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    • pp.779-786
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    • 2006
  • In this study, we propose a new method that utilizes rainfall data in and out of a basin, which is greater than 25.4mm for point rainfall or 12.7mm for areal mean rainfall respectively. From our analysis, most frequent quartile for point and areal mean rainfall were found to be the same in general for various rainfall duration intervals. From an evaluation of design rainfall per each rainfall duration distributed in time by the MOCT(Ministry of Construction and Transportation) version of Huff's method and this study, peak rainfall intensity by this study was found to be greater than the one by MOCT, but there were no consistent increase or decrease of this difference with rainfall durations. Using the distributed design rainfall per each duration by MOCT and this study, corresponding flood inflow hydrographs were simulated and compared each other. Contrary to the case of peak rainfall intensity, difference in peak flow by both methods per each rainfall duration started to increase from about 12-hr duration. Especially, the difference in peak flow was significant when critical rainfall duration was considered, and this trend was similar for peak flows of other rainfall durations. Therefore, the method proposed in this study is thought to be the effective procedure for the construction of dimensionless cumulative rainfall curve that is representative of a basin while considering time distribution characteristics for different rainfall durations.

Tritium Distribution in Leachates from Domestic Solid Waste Landfills (생활폐기물 매립장 침출수의 삼중수소 분포)

  • Park, Soon Dal;Kim, Jung Suk;Joe, Kih Soo;Kim, Jong Gu;Kim, Won Ho
    • Analytical Science and Technology
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    • v.17 no.3
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    • pp.251-262
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    • 2004
  • It is for the purpose of investigating the tritium distribution in the leachates, the raw and treated leachates and the condensates of the methane gas, which have occurred from domestic solid waste landfills. Also it aims to measure the tritium distribution level on the colloid size of the leachates, the raw and treated leachates. It was found that the major inorganic contaminants of the leachates were Na, K, Ca, Mg, $NH{_4}^+$-N and $Cl^-$. The mean tritium level of the raw leachates of the investigated 13 landfill sites for 6 months was 17 ~ 1196 TU. It corresponded to a several scores or hundreds of magnitude higher value than that of the normal environmental sample level except for two landfill sites. Also such a high concentration of the tritium was found in the treated leachates and methane gas condensates as well. Nevertheless it is important to emphasize that the tritium level which was found in this research is about 100 times lower than the tritium limit for the drinking water quality. And most of the tritium existed in the dissolved colloid of the leachate of which the colloid size is below $0.45{\mu}m$. Also, according to the tritium analysis results of the leachates after filtration with $0.45{\mu}m$ membrane filter for some landfills, it is likely that some tritium of the leachate would be distributed in a colloid size over $0.45{\mu}m$. In general the relationship between the tritium and other contaminants in the raw leachate was low, but it was relatively high between the tritium and TOC. However, the tritium content in the leachate had no meaningful relationship with the scale, hydrological characteristics and age of the landfill.

A study on changes in water cycle characteristics of university campus catchment: focusing on potential evapotranspiration improvement in Mt. Gwanak catchment (대학 캠퍼스 유역의 물순환 특성 변화에 관한 연구: 관악산 유역 잠재증발산량 개선을 중심으로)

  • Kim, Hyeonju;Kim, Young-Oh
    • Journal of Korea Water Resources Association
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    • v.55 no.12
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    • pp.1077-1089
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    • 2022
  • With the construction of Seoul National University (SNU), the Mt. Gwanak watershed has undergone some urbanization. As with other campus catchments, data related to the water cycle is extremely limited. Therefore, this study began by collecting hydrological and meteorological data using Atmos-41, a complex meteorological observation instrument. The observation results of Atmos-41 were validated by analyzing the statistical characteristics and confidence intervals based on the monthly variability of data from the Korea Meteorological Administration. Results of the previous research were used to validate the simulated surface runoff and infiltration using the Storm Water Management Model (SWMM). The potential evapotranspiration (PET) simulated by the SWMM was rectified by comparing it to the Atmos-41 observation data. Multiple regression analysis was employed to adjust for the fluctuations in precipitation, relative humidity, and wind speed because the calculated SWMM PET tends to be underestimated during periods of low temperatures. R2 increased from 0.54 to 0.80 when compared to the Atmos-41 PET. The rate of change in the water cycle as a consequence of the SNU's construction resulted in a 15.7% increase in surface runoff, a 14.2% decrease in infiltration rate, and a 1.6% decrease in evaporation.

Prediction of cyanobacteria harmful algal blooms in reservoir using machine learning and deep learning (머신러닝과 딥러닝을 이용한 저수지 유해 남조류 발생 예측)

  • Kim, Sang-Hoon;Park, Jun Hyung;Kim, Byunghyun
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1167-1181
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    • 2021
  • In relation to the algae bloom, four types of blue-green algae that emit toxic substances are designated and managed as harmful Cyanobacteria, and prediction information using a physical model is being also published. However, as algae are living organisms, it is difficult to predict according to physical dynamics, and not easy to consider the effects of numerous factors such as weather, hydraulic, hydrology, and water quality. Therefore, a lot of researches on algal bloom prediction using machine learning have been recently conducted. In this study, the characteristic importance of water quality factors affecting the occurrence of Cyanobacteria harmful algal blooms (CyanoHABs) were analyzed using the random forest (RF) model for Bohyeonsan Dam and Yeongcheon Dam located in Yeongcheon-si, Gyeongsangbuk-do and also predicted the occurrence of harmful blue-green algae using the machine learning and deep learning models and evaluated their accuracy. The water temperature and total nitrogen (T-N) were found to be high in common, and the occurrence prediction of CyanoHABs using artificial neural network (ANN) also predicted the actual values closely, confirming that it can be used for the reservoirs that require the prediction of harmful cyanobacteria for algal management in the future.