• Title/Summary/Keyword: river basins

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Survey on the Status of Helminthic Infections in Rural Area (농촌주민(農村住民)의 기생충(寄生虫) 감염현황(感染現況) 조사(調査))

  • Rim, H.J.;Lee, B.K.;Lee, J.S.;Joo, K.H.
    • Journal of agricultural medicine and community health
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    • v.4 no.1
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    • pp.81-89
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    • 1979
  • This study was undertaken to evaluate the present status of intestinal helminthic infection in rural areas of Korea from Dec. 1976 to Feb. 1979.The 4,311 stool specimens collected from 4 mountainous areas, 2 plain areas and 4 ri ver basins were examined. The methods employed were Kato's cellophane thick smear technique and brine fletation technique. The results are as follows. 1. The positive rate of intestinal helminch of any kind was 73.4%. It was 82.9% in river basins, 70. 2% in plain areas and 70. 4% in mountainous areas. 2. The positive rates of intestinal helmint.h were; Ascaris lumbricoides 42.5%, Trichocephalus trichiurus 51.4%, Hookworm 4.2%, Clonorchis sinensis 4.0%, Meta-gonimus yokogawai 5.7%, Hymenolepis nana 1.3%, Taenia species 1.0%, and Trichostrongyllus orientalis 1.2% respectively. 3. Sexual distribution of heiminthic infections showed higher rate in female than that of male except C. sinensis, H. nana, Taenia species, and. M. yokogawai. 4.Infection rates of T. trichiurus, Hook-worm and C. sinensis increased with age, but conversely H. nana were more prominent in younger age. 5. No geographical differen=e was noticed except that, M. yokogawai (20.9%), C sinensis (14.2%) in river basins ancl Taenia species (2.3%, by applying only stool examination) in mountainous areas were higher than the other 2 areas.

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Development of flood forecasting system on city·mountains·small river area in Korea and assessment of forecast accuracy (전국 도시·산지·소하천 돌발홍수예측 시스템 개발 및 정확도 평가)

  • Hwang, Seokhwan;Yoon, Jungsoo;Kang, Narae;Lee, Dong-Ryul
    • Journal of Korea Water Resources Association
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    • v.53 no.3
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    • pp.225-236
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    • 2020
  • It is not easy to provide sufficient lead time for flood forecast in urban and small mountain basins using on-ground rain gauges, because the time concentration in those basins is too short. In urban and small mountain basins with a short lag-time between precipitation and following flood events, it is more important to secure forecast lead times by predicting rainfall amounts. The Han River Flood Control Office (HRFCO) in South Korea produces short-term rainfall forecasts using the Mcgill Algorithm for Precipitation-nowcast by Lagrangian Extrapolation (MAPLE) algorithm that converts radar reflectance of rainfall events. The Flash Flood Research Center (FFRC) in the Korea Institute of Civil Engineering and Building Technology (KICT) installed a flash flood forecasting system using the short-term rainfall forecast data produced by the HRFCO and has provided flash flood information in a local lvel with 1-hour lead time since 2019. In this study, we addressed the flash flood forecasting system based on the radar rainfall and the assessed the accuracy of the forecasting system for the recorded flood events occurred in 2019. A total of 31 flood disaster cases were used to evaluate the accuracy and the forecast accuracy was 90.3% based on the probability of detection.

Assessment of water supply reliability in the Geum River Basin using univariate climate response functions: a case study for changing instreamflow managements (단변량 기후반응함수를 이용한 금강수계 이수안전도 평가: 하천유지유량 관리 변화를 고려한 사례연구)

  • Kim, Daeha;Choi, Si Jung;Jang, Su Hyung;Kang, Dae Hu
    • Journal of Korea Water Resources Association
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    • v.56 no.12
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    • pp.993-1003
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    • 2023
  • Due to the increasing greenhouse gas emissions, the global mean temperature has risen by 1.1℃ compared to pre-industrial levels, and significant changes are expected in functioning of water supply systems. In this study, we assessed impacts of climate change and instreamflow management on water supply reliability in the Geum River basin, Korea. We proposed univariate climate response functions, where mean precipitation and potential evaporation were coupled as an explanatory variable, to assess impacts of climate stress on multiple water supply reliabilities. To this end, natural streamflows were generated in the 19 sub-basins with the conceptual GR6J model. Then, the simulated streamflows were input into the Water Evaluation And Planning (WEAP) model. The dynamic optimization by WEAP allowed us to assess water supply reliability against the 2020 water demand projections. Results showed that when minimizing the water shortage of the entire river basin under the 1991-2020 climate, water supply reliability was lowest in the Bocheongcheon among the sub-basins. In a scenario where the priority of instreamflow maintenance is adjusted to be the same as municipal and industrial water use, water supply reliability in the Bocheongcheon, Chogang, and Nonsancheon sub-basins significantly decreased. The stress tests with 325 sets of climate perturbations showed that water supply reliability in the three sub-basins considerably decreased under all the climate stresses, while the sub-basins connected to large infrastructures did not change significantly. When using the 2021-2050 climate projections with the stress test results, water supply reliability in the Geum River basin was expected to generally improve, but if the priority of instreamflow maintenance is increased, water shortage is expected to worsen in geographically isolated sub-basins. Here, we suggest that the climate response function can be established by a single explanatory variable to assess climate change impacts of many sub-basin's performance simultaneously.

Community Size Structure of Zooplankton Assemblages in 29 Lentic Ecosystems on the Youngsan-Seomjin River Basin (2010~2011) (영산강, 섬진강 유역권내 29개 정수생태계의 동물플랑크톤 군집 크기 구조(2010~2011))

  • Kim, Hyun-Woo;La, Geung-Hwan;Park, Jong-Hwan;Song, Hyo-Jeong;Hwang, Kyung-Sub;Lim, Byung-Jin;Lee, Hak-Young
    • Korean Journal of Environmental Biology
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    • v.30 no.1
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    • pp.64-70
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    • 2012
  • This study compares the abundance and community structure of zooplankton organisms from the littoral and pelagic regions, and considers particularly trophic levels vs. zooplankton abundances. Zooplankton samples, collected every 3 months over a year from 2010 to 2011 at 29 temperate lakes and reservoirs, which belong to two different river basins (Youngsan and Seomjin River). The spatial pattern of rotifers was similar to that of total zooplankton abundance. This reflected the fact that rotifers strongly dominated the zooplankton community. There were considerable spatial variations in total zooplankton abundance (ANOVA, p<0.01), while there were no significant differences both in littoral and pelagic regions in abundance of zooplankton (ANOVA, p=0.205). The mean abundance of zooplankton in eutrophic systems was much higher than that of mesotrophic systems, while significant difference in number of species and diversity index were not shown in both trophic systems.

Optimum Water Allocation System Model in Keumho River Basin with Mathematical Programming Techniques (수리계획을 이용한 금호강유역의 최적 물배분 시스템모델)

  • 안승섭;이증석
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.2
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    • pp.74-85
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    • 1997
  • This study aims at the development of a mathematical approach for the optimal water allocation in the river basin where available water is not in sufficient. Its optimal allocation model is determined from the comparison and analysis of mathematical programming techniques such as transportation programming and dynamic programming models at its optimal allocation models. The water allocation system used in this study is designed to be the optimal water allocation which can satisfy the water deficit in each district through inter-basin water transfer between Kumho river basin which is a tributary catchment of Nakdong river basin, and the adjacent Hyungsan river basin, Milyang river basin and Nakdong upstream river basin. A general rule of water allocation is obtained for each district in the basins as the result of analysis of the optimal water allocation in the water allocation system. Also a comparison of the developed models proves that there is no big difference between the models Therefore transportation programming model indicates most adequate to the complex water allocation system in terms of its characteristics It can be seen, however, that dynamic programming model shows water allocation effect which produces greater net benefit more or less.

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Numerical Simulation for River Safety of Saemangeum Basin according to Master Plan (새만금 종합개발계획에 따른 새만금 유역 치수 안전성 수치모의)

  • Jeong, Seok il;Yoo, Hyung Ju;Ryu, Kwang Hyun;Lee, Seung Oh
    • Journal of the Korean Society of Safety
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    • v.33 no.5
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    • pp.127-133
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    • 2018
  • The Saemangeum master plan includes dredging and waterproofing materials, construction projects that can change the hydraulic characteristics of the Saemangeum and Mangyeong and Dongjin River basins. In this study, the river safety of 2030 when the Saemangeum master plan was completed for 100 year frequency, 500 year frequency and 100 year frequency applied RCP 8.5 scenario was examined using Delft3D. As a result of the analysis, it was confirmed that there was no overflowing point at the 100 year frequency, but the difference between the flood level and the river bank elevation was relatively small at the curved and river joint part. At the 100-year frequency with the 500-year frequency and the RCP 8.5 scenario, the possibility of overflowing at several locations was confirmed. The possibility of river bed loss due to fast velocity appears in the upstream part of Mankyung River and it is necessary to monitor the safety of hydraulic structures continuously. In addition, it is expected that the expansion of the area showing the characteristics of the lake due to dredging will affect the sediment mechanism and water quality, so detailed and diverse studies will be needed.

Application of Convolutional Neural Networks (CNN) for Bias Correction of Satellite Precipitation Products (SPPs) in the Amazon River Basin

  • Alena Gonzalez Bevacqua;Xuan-Hien Le;Giha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.159-159
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    • 2023
  • The Amazon River basin is one of the largest basins in the world, and its ecosystem is vital for biodiversity, hydrology, and climate regulation. Thus, understanding the hydrometeorological process is essential to the maintenance of the Amazon River basin. However, it is still tricky to monitor the Amazon River basin because of its size and the low density of the monitoring gauge network. To solve those issues, remote sensing products have been largely used. Yet, those products have some limitations. Therefore, this study aims to do bias corrections to improve the accuracy of Satellite Precipitation Products (SPPs) in the Amazon River basin. We use 331 rainfall stations for the observed data and two daily satellite precipitation gridded datasets (CHIRPS, TRMM). Due to the limitation of the observed data, the period of analysis was set from 1st January 1990 to 31st December 2010. The observed data were interpolated to have the same resolution as the SPPs data using the IDW method. For bias correction, we use convolution neural networks (CNN) combined with an autoencoder architecture (ConvAE). To evaluate the bias correction performance, we used some statistical indicators such as NSE, RMSE, and MAD. Hence, those results can increase the quality of precipitation data in the Amazon River basin, improving its monitoring and management.

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Korean Flood Vulnerability Assessment on Climate Change (기후변화에 따른 국내 홍수 취약성 평가)

  • Lee, Moon-Hwan;Jung, Il-Won;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.44 no.8
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    • pp.653-666
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    • 2011
  • The purposes of this study are to suggest flood vulnerability assessment method on climate change with evaluation of this method over the 5 river basins and to present the uncertainty range of assessment using multi-model ensemble scenarios. In this study, the data related to past historical flood events were collected and flood vulnerability index was calculated. The vulnerability assessment were also performed under current climate system. For future climate change scenario, the 39 climate scenarios are obtained from 3 different emission scenarios and 13 GCMs provided by IPCC DDC and 312 hydrology scenarios from 3 hydrological models and 2~3 potential evapotranspiration computation methods for the climate scenarios. Finally, the spatial and temporal changes of flood vulnerability and the range of uncertainty were performed for future S1 (2010~2039), S2 (2040~2069), S3 (2070~2099) period compared to reference S0 (1971~2000) period. The results of this study shows that vulnerable region's were Han and Sumjin, Youngsan river basins under current climate system. Considering the climate scenarios, variability in Nakdong, Gum and Han river basins are large, but Sumjin river basin had little variability due to low basic-stream ability to adaptation.

Quantitative Characterization of Historical Drought Events in Korea - Focusing on Drought Frequency Analysis in the Five Major Basins - (우리나라 과거 가뭄사상의 정량적 특성 분석 -5대강 유역의 가뭄빈도분석을 중심으로-)

  • Lee, Joo-Heon;Jang, Ho-Won;Kim, Jong-Suk;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.48 no.12
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    • pp.1011-1021
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    • 2015
  • This study aims to investigate droughts from the magnitude perspective based on the SPI (Standardized Precipitation Index) and the theory of runs applicable to quantitative analysis of drought in South Korea. In addition, the dry spell analysis was conducted on the drought history in the five major river basins of South Korea to obtain the magnitude, duration and severity of drought, and the quantitative evaluation has been made on historical droughts by estimating the return period using the SDF (Severity-Duration-Frequency) curve gained through drought frequency analysis. The analysis results showed that the return periods for droughts at the regional and major river basin scales were clearly identified. The return periods of severe drought that occurred around the major river basins in South Korea turn out to be mostly 30 to 50 years with the years of the worst drought in terms of severity being 1988 and 1994. In particular, South Korea experienced extremely severe droughts for two consecutive years during the period between 1994 and 1995. Drought in 2014 occurred in the Han River basin and was evaluated as the worst one in terms of severity and magnitude.

The Evaluation of Climate Change Impacts on the Water Scarcity of the Han River Basin in South Korea Using High Resolution RCM Data (고해상도 RCM 자료를 이용한 기후변화가 한강유역의 수자원(이수적 측면)에 미치는 영향 평가)

  • Kim, Soo-Jun;Kim, Byung-Sik;Jun, Hwan-Don;Kim, Hung-Soo
    • Journal of Korea Water Resources Association
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    • v.43 no.3
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    • pp.295-308
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    • 2010
  • As an attempt to explore the impact of droughts which may be worse by the climate change, the change in the water balance of the Han-river basin is analyzed. To accomplish it, we suggest a procedure consisting of three successive sub-procedures: daily rainfall generation for 70 years by the RegCM3 RCM ($27{\times}27\;km$) with the A2 scenario, daily discharge simulations by SLURP using the generated daily rainfall data, and monthly water balance analysis by K-WEAP (Korean Water Evaluation and Planning System) based on the SLURP simulation. Since significant uncertainty is involved in forecasting the future water consumption and water yields, we assumed three water consumption scenarios and fifty water yields scenarios. Three water consumption scenarios are, namely, "LOW", "MEDIUM", and "HIGH" according to the expected amount of water consumption. The fifty daily discharges are obtained from the SLURP simulations during the drought period. Finally, water balance analysis is performed by K-WEAP based on 150 combinations from three water consumption scenarios and the fifty daily discharges. Analysis of water scarcity in small basins of the Han River basin showed concentration of water scarcity in some small basins. It was also found that water scarcity would increase in all small basins of the Han River basin.