• Title/Summary/Keyword: Youngsan River basin

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Estimation of Areal Reduction Factors for the Youngsan River Basin (영산강유역의 면적우량감소계수 산정)

  • Lee, Jae-Hyung;Koh, Won-Joon;Lee, Yoon-Young;Kim, Dae-Geun
    • Journal of Korea Water Resources Association
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    • v.39 no.10 s.171
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    • pp.813-822
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    • 2006
  • By analyzing the concurrent rainfall data from rainfall gauges positioned in the Youngsan River basin, the areal reduction factors related to the rainfall characteristics of the Youngsan River basin are estimated. The estimated values are compared with the values of the Han River basin, and show that the rate of decrease of the areal reduction factors of the Youngsan River basin are smaller than those of the Han River basin as the basin area is increasing. That is especially true for short-term duration storm events. These findings reveal that the spatial variations in the Youngsan River basin's storms are smaller than the spatial variations of the storms In the Han River basin, due to the size of the two basin areas in addition to the topological characteristics that affect the rainfall distributions.

Water Quality Management of the Youngsan River based on the 7Q10 and Q275 considering Wastewater Treatment Cost (하수처리비용을 감안하고 7Q10과 저수량에 기초한 영산강 수질관리방안 연구)

  • Cho, Jae-Heon;Yu, Tai-Jong
    • Journal of Korean Society of Water and Wastewater
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    • v.16 no.6
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    • pp.700-709
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    • 2002
  • Present condition of the Youngsan River pollution is serious. Concentrations of organic materials and nutrients are high and algal bloom takes place frequently. The pollution is mainly caused by domestic wastewater input from urban areas like Kwangju and Naju City. In this study, 6 times of water quality surveys were done for mainstream and tributaries. Delivery ratios of each tributaries are calculated with the water quality and flow data. With Arc/View GIS, sub-basin are divided and pollution loads are estimated. These data are used for water quality modeling. River quality improvement effects are analysed with 5 scenarios including process upgrade of present WWTPs and construction of new WWTPs. These scenarios are applied for the Youngsan River based on the 7Q10 and Q275. And total wastewater treatment cost in the basin is analysed for each scenario.

A Study on the River Water Quality Management Model using Genetic Algorithm (유전알고리즘을 이용한 하천수질관리모형에 관한 연구)

  • Cho, Jae-Heon;Sung, Ki-Seok
    • Journal of Korean Society of Water and Wastewater
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    • v.18 no.4
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    • pp.453-460
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    • 2004
  • The objective of this research is to develop the water quality management model to achieve the water quality goal and the minimization of the waste load abatement cost. Most of existing water quality management model can calculate BOD and DO. In addition to those variables, N and P are included in the management model of this study. With a genetic algorithm, calculation results from the mathematical water quality model can be used directly in this management model. Developed management model using genetic algorithm was applicated for the Youngsan River basin. To verify the management model, water quality and pollution source of the Youngsan River had been investigated. Treatment types and optimum treatment costs of the existing and planned WWTPs in the baisn were calculated from the model. The results of genetic algorithm indicate that Kwangju and Naju WWTP have to do the advanced treatment to achieve the water quality goal about BOD, DO and TP. Total annual treatment cost including the upgrade cost of existing WWTPs in the Youngsan River basin was about 50.3 billion Won.

Estimation of Available Permit Water for Large Scale Agricultural Reservoirs in Youngsan River Basin (영산강권역 대규모 농업용 저수지의 가용허가수량 추정)

  • Kim, Sun-Joo;Park, Ki-Chun;Park, Hee-Sung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.1
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    • pp.93-97
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    • 2012
  • Agricultural water reservoirs upstream of the intake on the basis of the intaking water volume is being made. Therefore, the supply capacity of reservoirs are not considered when the water balance analysis, storm water reservoirs are based on agriculture and further secured by the reservoir water is not used to using natural river water analysis. To overcome these problems can supply reservoirs are available to permit analysis of how much the quantity of water balance analysis, it should be reflected in the line to help. In this study, the natural daily flow data and apply the dimensions of the reservoir, and for more than 30 years of the long-term water balance analysis conducted by Date Youngsan river basin can supply reservoirs are large quantity of permits available is presented.

Application of the Load Duration Curve (LDC) to Evaluate the Rate of Achievement of Target Water Quality in the Youngsan · Tamjin River Watersheds (부하지속곡선(LDC)을 이용한 영산강 · 탐진강수계 오염총량관리 목표수질 평가방법 적용 방안)

  • Cheong, Eunjeong;Kim, Hongtae;Kim, Yongseok;Shin, Dongseok
    • Journal of Korean Society on Water Environment
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    • v.32 no.4
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    • pp.349-356
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    • 2016
  • Total Maximum Daily Loads (TMDLs) System has been used to improve water quality in the Youngsan·Tamjin river basin since 2004. The Basic Policy of TMDLs sets up the standard flow based on the average dry condition or mid-range flow during the last 10 years. However, Target Water Quality (TWQ) assessment on TMDLs has been used to evaluate water quality through eight-day intervals over 36 times a year. The results for allocation evaluation and target water quality evaluation were different from each other in the same unit watershed during the first period. In order to improve the evaluation method, researchers applied Load Duration Curve (LDC) to evaluate water quality in nine unit watersheds of the Youngsan·Tamjin river basin. The results showed that achievement rates of TWQ assessment with the current method and LDC were 67~100% and 78~100%, respectively. Approximately 11% of the achievement rates with use of LDC were higher than those with use of the current method. In conclusion, it is necessary to review the application of the LDC method in all Four Major River Watersheds.

Estimation of Water Quality Environment in Youngsan and Seumjin River Basins (영산강과 섬진강 유역의 하천 수질환경 평가)

  • 양해근;최희철
    • Journal of the Korean Geographical Society
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    • v.38 no.1
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    • pp.16-31
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    • 2003
  • The water quality environment in Youngsan and Seumjin river basins was investigated based on the concept of the comprehensive Water Quality Index (WQI) and a spacial pollution source. Artificial factors influencing to river water quality have been analyzed. The specific delivery load of Youngsan river basin was found to be 8.34~97.25 kg/day/$\textrm{km}^2$, Gomagwon stream and Gwangju stream showed the relatively high rates as 97.25 kg/day/$\textrm{km}^2$ and 86.06 kg/day/$\textrm{km}^2$, respectively. The specific delivery load in Seumjin river basin was estimated to be 10.98∼19.51 kg/day/$\textrm{km}^2$, Suggesting no Significant Contribution of pollution. WQI of Youngsan watershed revealed 1.36~3.45, whereas Seumjin watershed showed a relatively low value of 0.5~1.47 And it is concluded that the specific delivery load suggested in this study provides the essential core data of the upper limit of pollutants receptor in the watershed area studied. From this study, it is suggested that the integrated environmental management of river basin requires the analysis of pollutants generation rate of the basin and the receptor capability for the self-purification.

GIS를 이용한 영산강 유역의 지하수의 산출특성

  • Seo Gu-Won;Park Bae-Yong;Jeong Chan-Deok
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2005.04a
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    • pp.61-64
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    • 2005
  • The calculated characteristics of groundwater within the Youngsan river basin are : casing depth-17.1m, well depth-74.8m, natural water-2.6m, pumping water-43.9m, yields-391$m^3/D$, transmissivity-16.3$m^3/D/m$, storativity-0.068. As far as hydrogeological units are concerned, in casing depth, weathered granites are deepest followed by gneiss, volcanics, and sediments. In major aquifer development areas, sediments are deepest followed by volcanics, granites and gneiss in more shallow areas, Altogether, the major aquifar development depth of the Youngsan river basin is within the $35{\sim}60m$ range.

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Estimation of Pollution Loads from the Yeongsan River Basin using a Conceptual Watershed Model (개념적 유역모델을 이용한 영산강 유역 오염부하 유출량의 시공간적 분포평가)

  • Park, Min-Hye;Cho, Hong-Lae;Koo, Bhon-Kyoung
    • Journal of Korean Society on Water Environment
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    • v.30 no.2
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    • pp.184-198
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    • 2014
  • For estimating discharge and pollution loads into the Yeongsan lake, a conceptual watershed model HSPF(Hydrological Simulation Program - Fortran) was applied to the Yeongsan River Basin. Various spatial data set including DEM, watershed boundaries and land uses were used to set up the model for the Yeongsan River Basin that was divided into 45 sub-basins. The model was calibrated and validated for the river discharges, SS, BOD, TN and TP concentrations against the data observed in 2011 at several monitoring stations. The simulation results show good agreement with the observed water flows($R^2$ = 0.46 - 0.97, NSE = 0.70 - 0.96). The simulated concentrations of SS, BOD, TN and TP are also in good agreement with the observed. The total freshwater discharge to the Yeongsan lake is estimated $2,406{\times}10^6m^3/year$ which the Jiseok and Hwangryoung stream contribute as much as 19%, 17% respectively. It is estimated that the total discharges to the Youngsan lake is SS 152,327 ton/year, BOD 15,721 ton/year, TN 10,071 ton/year, TP 563 ton/year. Both water and pollution loads are high in summer, particularly in July, when the monsoon season arrives at the Korean peninsula.

A Study on the Identification of Hazardous Organic Substances for Industrial Classification (업종별 유해성 유기물질의 확인에 대한 연구)

  • Park, Sun Ku;Kim, Sung Soo;Ko, O Suk;Jung, Sung Woong;Park, Jun Dae;Ryu, Seung Do;Ryu, Jae Kyun;Cho, Hyun-Woo
    • Analytical Science and Technology
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    • v.9 no.4
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    • pp.392-398
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    • 1996
  • Eleven organic chemical substances, tetrachloroethylene, ethyl benzene, p-xylene, o-xylene, isopropyl benzene, n-propyl benzene. 1,2,4-trimethyl benzene, 1,3,5-trimethyl benzene, p-isopropyl toluene. see-butyl benzene, and naphthalene, which have hazardously influenced to human, were extracted from untreated wastewater collected at 26 companies of 8 types industry in the basin of Kwangju stream. Their structures were elucidated by Gas Chromatography/Mass Spectrometry(GC/MS) and in comparison with each standard reagents.

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