• Title/Summary/Keyword: flow duration curve

Search Result 154, Processing Time 0.019 seconds

Flow Duration Curve Analysis for Nak-dong River Basin TMDL Using TANK Model (TANK 모형을 이용한 오염총량관리 목적 낙동강 유황 분석)

  • Kim, Sang-Dan;Kim, Jae-Chul;Kang, Doo-Kee;Shin, Hyun-Suk
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2007.05a
    • /
    • pp.1048-1052
    • /
    • 2007
  • 그동안의 하천 유량자료는 주로 홍수방어를 목적으로 구축되어진 관계로 대부분 홍수기에만 의미있는 자료를 갖추고 있으며, 환경관리에 필요한 저갈수기 유량자료는 그 신뢰도가 매우 떨어지고 있다. 다행히 지난 2004년 하반기부터 4대강 물환경 연구소에서 직접 오염총량관리 단위유역 말단부에서 8일 간격으로 유량과 수질을 동시에 측정하기 시작하였고, 사업의 결과 건기 우기의 구별 없이 연중 일정한 간격으로 하천유황 및 수질의 변동여부를 확인하는 것이 가능하게 되었으나, 각 단위유역별 유황곡선을 작성할 목적으로 8일 간격 유량자료를 사용할 수 없다는 단점이 있다. 즉, 현재 관측 중인 8일 간격 유량자료만으로는 동시 관측이 진행 중인 수질항목과 유량 사이의 상관관계 정도를 파악한다거나, 어떤 방법으로든 수문모형을 구축한 후 이를 부분적으로 검정할 때 참고자료로 사용하는 정도로 그 용도가 한정될 수밖에 없는 실정이다. 이에 본 연구에서는 낙동강 오염총량관리 41개 단위유역 전체를 대상으로 관측된 8일 간격 유량자료를 이용하여 이를 1일 간격 유량자료로 확장을 시도하였다. 이를 위하여 기존의 TANK 모형에 하도추적기능을 추가한 보다 진보된 TANK 모형을 구성하였다. 낙동강 단위유역별 취수량과 방류량을 바탕으로 한 물수지 자료 또한 구비하여 모형에 고려되도록 하였다. 모형의 매개변수 추정을 위하여 국립환경과학원 낙동강물환경연구소에서 8일 간격으로 관측한 유량자료가 이용되었다. 분석결과 모의된 일유량이 실제 유량을 비교적 잘 재현하는 것으로 나타남에 따라 8일간격 유량관측자료의 일유량으로의 확장 가능성을 확인할 수 있었다. 구축된 모형은 적용에 앞서 10년 평균 저수량을 기준으로 1차 오염총량관리 기준유량과의 비교를 시도하였으며, 상류 댐 방류의 영향 및 물수지의 영향을 배제한 상태의 자연유량을 산정하여 이를 현재 유황과의 비교를 수행하였다. 현재유량과의 비교 결과 다목적 댐의 방류효과로 인한 유량 증가효과 및 대규모의 취수로 인한 유량 감소효과가 뚜렷하게 나타남을 알 수 있었다. 산정된 자연유량을 통하여 비유량을 산정한 결과 $5,000km^2$이하인 유역 면적의 경우 비유량 $0.0048m^3/s/km$를, $5,000km^2$이상인 경우에는 비유량 $0.0043m^3/s/km$를 적용하는 것이 바람직할 것으로 분석되었다. 여기에 유역의 물이용 및 상류의 댐 방류 효과가 고려되면 실제 유역의 저수량을 개략적으로 산정할 수 있을 것으로 기대된다.

  • PDF

Water Quality Analysis of Hongcheon River Basin Under Climate Change (기후변화에 따른 홍천강 유역의 수질 변화 분석)

  • Kim, Duckhwan;Hong, Seung Jin;Kim, Jungwook;Han, Daegun;Hong, Ilpyo;Kim, Hung Soo
    • Journal of Wetlands Research
    • /
    • v.17 no.4
    • /
    • pp.348-358
    • /
    • 2015
  • Impacts of climate change are being observed in the globe as well as the Korean peninsula. In the past 100 years, the average temperature of the earth rose about 0.75 degree in celsius, while that of Korean peninsula rose about 1.5 degree in celsius. The fifth Assessment Report of IPCC(Intergovermental Panel on Climate Change) predicts that the water pollution will be aggravated by change of hydrologic extremes such as floods and droughts and increase of water temperature (KMA and MOLIT, 2009). In this study, future runoff was calculated by applying climate change scenario to analyze the future water quality for each targe period (Obs : 2001 ~ 2010, Target I : 2011 ~ 2040, Target II : 2041 ~ 2070, Target III : 2071 ~ 2100) in Hongcheon river basin, Korea. In addition, The future water quality was analyzed by using multiple linear regression analysis and artificial neural networks after flow-duration curve analysis. As the results of future water quality prediction in Hongcheon river basin, we have known that BOD, COD and SS will be increased at the end of 21 century. Therefore, we need consider long-term water and water quality management planning and monitoring for the improvement of water quality in the future. For the prediction of more reliable future water quality, we may need consider various social factors with climate components.

An Impact Assessment of Climate and Landuse Change on Water Resources in the Han River (기후변화와 토지피복변화를 고려한 한강 유역의 수자원 영향 평가)

  • Kim, Byung-Sik;Kim, Soo-Jun;Kim, Hung-Soo;Jun, Hwan-Don
    • Journal of Korea Water Resources Association
    • /
    • v.43 no.3
    • /
    • pp.309-323
    • /
    • 2010
  • As climate changes and abnormal climates have drawn research interest recently, many countries utilize the GCM, which is based on SRES suggested by IPCC, to obtain more accurate forecast for future climate changes. Especially, many research attempts have been made to simulate localized geographical characteristics by using RCM with the high resolution data globally. To evaluate the impacts of climate and landuse change on water resources in the Han-river basin, we carried out the procedure consisting of the CA-Markov Chain, the Multi-Regression equation using two independent variables of temperature and rainfall, the downscaling technique based on the RegCM3 RCM, and SLURP. From the CA-Markov Chain, the future landuse change is forecasted and the future NDVI is predicted by the Multi-Regression equation. Also, RegCM3 RCM 50 sets were generated by the downscaling technique based on the RegCM3 RCM provided by KMA. With them, 90 year runoff scenarios whose period is from 2001 to 2090 are simulated for the Han-river basin by SLURP. Finally, the 90-year simulated monthly runoffs are compared with the historical monthly runoffs for each dam in the basin. At Paldang dam, the runoffs in September show higher increase than the ones in August which is due to the change of rainfall pattern in future. Additionally, after exploring the impact of the climate change on the structure of water circulation, we find that water management will become more difficult by the changes in the water circulation factors such as precipitation, evaporation, transpiration, and runoff in the Han-river basin.

Study of Spatiotemporal Variations and Origin of Nitrogen Content in Gyeongan Stream ( 경안천 내 질소 함량의 시공간적 변화와 기원 연구)

  • Jonghoon Park;Sinyoung Kim;Soomin Seo;Hyun A Lee;Nam C. Woo
    • Economic and Environmental Geology
    • /
    • v.56 no.2
    • /
    • pp.139-153
    • /
    • 2023
  • This study aimed to understand the spatiotemporal variations in nitrogen content in the Gyeongan stream along the main stream and at the discharge points of the sub-basins, and to identify the origin of the nitrogen. Field surveys and laboratory analyses, including chemical compositions and isotope ratios of nitrate and boron, were performed from November 2021 to November 2022. Based on the flow duration curve (FDC) derived for the Gyeongan stream, the dry season (mid-December 2021 to mid-June 2022) and wet season (mid-June to early November 2022) were established. In the dry season, most samples had the highest total nitrogen(T-N) concentrations, specifically in January and February, and the concentrations continued to decrease until May and June. However, after the flood season from July to September, the uppermost subbasin points (Group 1: MS-0, OS-0, GS-0) where T-N concentrations continually decreased were separated from the main stream and lower sub-basin points (Group 2: MS-1~8, OS-1, GS-1) where concentrations increased. Along the main stream, the T-N concentration showed an increasing trend from the upper to the lower reaches. However, it was affected by those of the Osan-cheon and Gonjiamcheon, the tributaries that flow into the main stream, resulting in respective increases or decreases in T-N concentration in the main stream. The nitrate and boron isotope ratios indicated that the nitrogen in all samples originated from manure. Mechanisms for nitrogen inflow from manure-related sources to the stream were suggested, including (1) manure from livestock wastes and rainfall runoff, (2) inflow through the discharge of wastewater treatment plants, and (3) inflow through the groundwater discharge (baseflow) of accumulated nitrogen during agricultural activities. Ultimately, water quality management of the Gyeongan stream basin requires pollution source management at the sub-basin level, including its tributaries, from a regional context. To manage the pollution load effectively, it is necessary to separate the hydrological components of the stream discharge and establish a monitoring system to track the flow and water quality of each component.