• Title/Summary/Keyword: Runoff Curve Number

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Curve Number for a Small Forested Mountainous Catchment (산지 소유역 유출곡선지수)

  • Oh, Kyoung-Doo;Jun, Byong-Ho;Han, Hyung-Geun;Jung, Sung-Won;Cho, Young-Ho;Park, Soo-Yun
    • Journal of Korea Water Resources Association
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    • v.38 no.8 s.157
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    • pp.605-616
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    • 2005
  • In this paper, runoff curve numbers (CN's) for a small forested mountainous catchment are estimated using rainfall-runoff data measured at Sulma experimental catchment every 10 minutes and a new guideline for applying the antecedent rainfall conditions (ARC's) for small mountainous watersheds in Korea is proposed. Sulma experimental catchment is a typical natural mountainous basin with $97\%$ of forested land cover and CN's are estimated to be in the range between 51 and 89 with median value of 72. The test hypothesis stating as 1-day ARC is better than 5-day ARC in determining CN's for a small mountainous watershed is shown to be acceptable. Also, linear regression equations for the estimation of CN's for small mountainous catchments are proposed. As there is no significant investigations available on CN's for small mountainous catchments, the newly proposed relationships between CN's and ARC may be used as a preliminary guideline to assign CN's for the estimation of floods from rainfall data on mountainous regions.

Regionalization of CN Parameters for Nakdong River Basin using SCE-UA Algorithm (SCE-UA 최적화기법에 의한 낙동강 유역의 CN값 도출)

  • Jeon, Ji-Hong;Choi, Dong Hyuk;Kim, Jung-Jin;Kim, Tae Dong
    • Journal of Korean Society on Water Environment
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    • v.25 no.2
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    • pp.245-255
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    • 2009
  • CN values are changed by various surface condition, which is cover type or treatment, hydrologic condition, or percent impervious area, even the same combination of land use and hydrologic soil group. In this study, CN parameters were regionalized for Nakdong River Basin by Long-Term Hydrologic Impact Assessment (L-THIA) coupled with SCE-UA, which is one of the global optimization technique. Six watersheds were selected for calibration (optimization) and periodic validation and two watersheds for spatical validation as ungauged watershed within Nakdong River Basin. Nash-Sutcliffe (NS) values were 0.66~0.86 for calibration, 0.68~0.91 for validation, and 0.60 and 0.85 for ungauged watersheds, respectively. Urban area for the selected watersheds covered high impervious area with 85% for residential area and 92% for commercial/industrial/transportation area. Hydrologic characteristics for crop area was similar to row crop with contoured treatment and poor hydrologic condition. For the forested area, hydrologic characteristics could be clearly distinguished from the leaf types of plant. Deciduous, coniferous, and mixed forest showed low, moderate, and high runoff rates by representing wood with fair and poor hydrologic condition, and wood-grass combination with fair hydrologic condition, respectively. CN parameters from this study could be strongly recommended to be used to simulate runoff for ungauged watershed.

Calculation of Pollutant Loads and Simulation of Water Quality in Juam Lake Watershed using GIS (GIS를 이용한 주암호 유역의 오염부하량 산정 및 수질모의)

  • Kim, Chul;Kim, Souk-Gyu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.3
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    • pp.87-98
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    • 2002
  • Point & nonpoint source pollutant loads were calculated in Juam lake watershed using GIS, and water quality was simulated using water quality model. Point source pollutant loads were estimated using the unit pollutant loads presented by the Ministry of Environment(MOE, 1998). Nonpoint source pollutant loads were estimated using the value of the direct runoff multiplied by expected mean concentration. The direct runoff was calculated using SCS curve number method. Water quality simulation was conducted using WASP model(2001) developed by U.S. EPA. In order to apply the model, Juam lake watershed was divided into 44 subbasins according to slope, elevation, soil type, landuse and precipitation. Then the model was applied to one subbasin. Simulation results were compared to observed values and the result should good agreement with each other.

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Estimation of SCS Runoff Curve Number and Hydrograph by Using Highly Detailed Soil Map(1:5,000) in a Small Watershed, Sosu-myeon, Goesan-gun (SCS-CN 산정을 위한 수치세부정밀토양도 활용과 괴산군 소수면 소유역의 물 유출량 평가)

  • Hong, Suk-Young;Jung, Kang-Ho;Choi, Chol-Uong;Jang, Min-Won;Kim, Yi-Hyun;Sonn, Yeon-Kyu;Ha, Sang-Keun
    • Korean Journal of Soil Science and Fertilizer
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    • v.43 no.3
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    • pp.363-373
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    • 2010
  • "Curve number" (CN) indicates the runoff potential of an area. The US Soil Conservation Service (SCS)'s CN method is a simple, widely used, and efficient method for estimating the runoff from a rainfall event in a particular area, especially in ungauged basins. The use of soil maps requested from end-users was dominant up to about 80% of total use for estimating CN based rainfall-runoff. This study introduce the use of soil maps with respect to hydrologic and watershed management focused on hydrologic soil group and a case study resulted in assessing effective rainfall and runoff hydrograph based on SCS-CN method in a small watershed. The ratio of distribution areas for hydrologic soil group based on detailed soil map (1:25,000) of Korea were 42.2% (A), 29.4% (B), 18.5% (C), and 9.9% (D) for HSG 1995, and 35.1% (A), 15.7% (B), 5.5% (C), and 43.7% (D) for HSG 2006, respectively. The ratio of D group in HSG 2006 accounted for 43.7% of the total and 34.1% reclassified from A, B, and C groups of HSG 1995. Similarity between HSG 1995 and 2006 was about 55%. Our study area was located in Sosu-myeon, Goesan-gun including an approx. 44 $km^2$-catchment, Chungchungbuk-do. We used a digital elevation model (DEM) to delineate the catchments. The soils were classified into 4 hydrologic soil groups on the basis of measured infiltration rate and a model of the representative soils of the study area reported by Jung et al. 2006. Digital soil maps (1:5,000) were used for classifying hydrologic soil groups on the basis of soil series unit. Using high resolution satellite images, we delineated the boundary of each field or other parcel on computer screen, then surveyed the land use and cover in each. We calculated CN for each and used those data and a land use and cover map and a hydrologic soil map to estimate runoff. CN values, which are ranged from 0 (no runoff) to 100 (all precipitation runs off), of the catchment were 73 by HSG 1995 and 79 by HSG 2006, respectively. Each runoff response, peak runoff and time-to-peak, was examined using the SCS triangular synthetic unit hydrograph, and the results of HSG 2006 showed better agreement with the field observed data than those with use of HSG 1995.

Information Extraction on the Nonpoint Pollution from Satellite Imagery for the Woopo Wetland Area (위성영상으로부터의 비점오염원 정보추출: 우포늪 유역을 대상으로)

  • Seo, Dong-Jo
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.84-87
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    • 2006
  • It was investigated what is the reasonable landcover classification system for the nonpoint pollution models. According to the parameters of the nonpoint pollution models, runoff curve number, crop management factor and Manning's roughness coefficient, the landcover classification system was proposed to manage the drainage basin of the Woopo wetland. Also, the rule-based classification method was adopted to extract the landcover information for this study area.

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Empirical Equation for Pollutant Loads Delivery Ratio in Nakdong River TMDL Unit Watersheds (낙동강 오염총량관리 단위유역 유달율 경험공식)

  • Kim, Mun Sung;Shin, Hyun Suk;Park, Ju Hyun;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.25 no.4
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    • pp.580-588
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    • 2009
  • In this study daily flow rates and delivered pollutant loads of Nakdong river basin are simulated with modified TANK model and minimum variance unbiased estimator. Based on the simulation results, flow duration curves, load duration curves, and delivery ratio duration curves have been established. Then GIS analysis is performed to obtain several hydrological geomorphic characteristics such as watershed area, stream length, watershed slope and runoff curve number. Finally, multiple regression analysis is carried out to estimate empirical equations for pollutants delivery ratio. The results show that there is positive relation between the flow rates and delivery ratios, and the proposed empirical formulas for delivery ratio can predict well river pollutant loads.

Estimate Runoff Curve Number by Using GIS (GIS 기법을 활용한 유출곡선지수(CN) 산정)

  • Kim, Hyeon Sik;Oh, Yeun Kun;Yeon, Yun Jung;Kim, Han Joon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.1251-1256
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    • 2004
  • 본 연구는 토양도 및 Landsat 위성영상을 GIS 및 R/S기법으로 토지이용의 공간적 분포를 분석하여 토지피복의 경년적 변화에 따른 유출곡선지수를 산정하고 유출곡선지수의 변화에 따른 유출상태의 변화를 분석하는데 그 목적이 있다. 이른 위하여 개략토양도의 토양분류에 대한 기존분류방법과 토지이용에 따른 CN분류법을 조사 검토한 후 CN을 산정하였으며, 향후 보다 정확한 산정기법이 제시될 수 있을 것으로 판단된다. 본 연구를 위하여 활용한 기초자료는 건설교통부와 한국수자원공사에서 시행하고 있는 전국유역조사의 자료로서 연구 분석에 이용하였다.

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Analysis of Parameter Estimates for Urban Planning Area Runoff Using Storm Water Management Model (SWMM을 이용한 도시계획지역 유출량 분석을 위한 매개변수 산정)

  • Koo, Youngmin;Seo, Dongil
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.43-47
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    • 2016
  • 대전 관평천 유역의 도시계획에 의해 개발된 도시지역을 대상으로 우수 관거 최종 유출부에 설치한 모니터링시스템을 이용하여 복수의 강우사상에 대해 연속으로 유출량 자료를 획득하였다. 본 연구는 연속적으로 획득한 유출량 자료를 바탕으로 SWMM(storm water management model)을 보정하고 최적의 수문학적 매개변수를 산정하는데 있다. SWMM의 수문학적 매개변수는 기본 침투식인 Curve Number, Horton 및 Green-Ampt를 바탕으로 각각의 경우에 맞는 유역의 조도계수 및 저류 깊이를 산정하였다. 현재 도시 개발에 따른 유출변화를 모의하는데 있어 국외에서 연구된 매개변수를 적용하고 있다. 번 연구에서 구한 매개변수는 향후 도시개발에 따른 유출 변화를 SWMM을 이용하여 분석하기 위한 기초자료를 활용 할 수 있을 것으로 판단된다.

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Estimation of Flows and Pollutant Loads from GIS Analysis using Cell-based Geospatial and Georgraphic Information Data (격자기반의 지형 및 지리정보자료와 GIS분석기법을 이용한 유역의 유출량 및 오염부하량 추정)

  • Cho, Jae-Myoung;Lee, Mi-Ran;Yun, Hong-Sik
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.4
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    • pp.381-392
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    • 2011
  • Pollutant loads calculated with unit factor method can not identity seasonal variations of pollutant inputs. Estimation of pollutant loads considering rainfall runoff can overcome these limits. SCS curve number method was applied to estimate runoff of each event of Koeup watershed of Koheung estuary lake. SCS curve numbers were calculated based upon land use, soil types of the catchment using GIS. Point and nonpoint source pollutant loads were summed up for total loads estimation. Those from nonpoint source were estimated by multiplying the calculated runoff and expected mean concentrations (EMC) presented by the Minister of Environment of Korea. DEM can present three dimensional views of a terrain, identity stream networks and flow accumulation. Furthermore, it can examine accumulated pollutant loads of specific point of a catchment. Therefore, cell based pollutant load estimation was attempted using DEM. ArcView was utilized to collect, store and manipulate spatial and attribute data of pollutant sources and features of the catchment. Cell-based DEM which was established by the GRID module of ARC/INFO was employed to estimate flows and pollutant loads.

Determination of Model Parameters of Surface Cover Materials in Evaluation of Sediment Reduction and Its Effects at Watershed Scale using SWAT (토양유실 저감을 위한 지표피복 저감효과 변수 결정 및 SWAT 모형 유역단위 효과 분석)

  • Kum, Donghyuk;Jang, Chun Hwa;Shin, Min Hwan;Choi, Joong-Dae;Kim, Bomchul;Jeong, Gyo-Cheol;Won, Chul Hee;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.28 no.6
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    • pp.923-932
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    • 2012
  • The purpose of this study was to determine parameters of surface cover materials and evaluation the effects on runoff and sediment reductions with rice straw mat with PAM at watershed scale using the SWAT model. In this study, 1) regression equation of CN for rice straw mat + PAM using SCS curve number method was developed, 2) the USLE P factor, being able to reflect simulation of rice straw mat + PAM in the agricultural field, was estimated for various slope scenarios with VFSMOD-w. Then regression equation for CN and USLE P factor were used as input data in the SWAT model. Assuming rice straw mat + PAM is applied to radish and potato fields, occupying 24% of agricultural fields at the study watershed. Result of direct runoff without rice straw mat + PAM was $65,964,368\;m^3,$ with rice straw mat + PAM, direct runoff was $65,637,336\;m^3$, $327,031.8\;m^3$ reductions compared without it. Also, result of sediment without rice straw mat + PAM was 163,531 ton, with rice straw mat + PAM, sediment was 84,779 ton, 78,752 ton reduction compared without it. This analysis showed that about 48% sediment reductions would be expected with rice straw mat + PAM. As shown in this study, rice straw mat + PAM would be used as an efficient site-specific BMPs to reduce runoff and sediment discharge from field.