Investigation of Curve Number Procedure

Hjelmfelt, Allen T.

doi:10.1061/(asce)0733-9429(1991)117:6(725)

Cited by 208 publications

(174 citation statements)

References 22 publications

Supporting

Mentioning

153

Contrasting

Unclassified

Order By: Relevance

“…The model estimates surface water flow using the modified SCS-CN (Soil Conservation Service-Curve Number) method, which estimates the amount of infiltration and runoff from rainfall excess based on land use, hydrologic soil group, and antecedent moisture condition. According to the SCS-CN method, the total rainfall is divided into initial abstraction, continuous abstraction, and excess rainfall [43]. Daily precipitation, land use characteristics, and soil profile features are used as input for calculations.…”

Section: Agro-hydrological Simulation and Model Calibrationmentioning

confidence: 99%

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran

Kamali

Kouchi

Yang

et al. 2017

Water

View full text Add to dashboard Cite

Studies using Drought Hazard Indices (DHIs) have been performed at various scales, but few studies associated DHIs of different drought types with climate change scenarios. To highlight the regional differences in droughts at meteorological, hydrological, and agricultural levels, we utilized historic and future DHIs derived from the Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), and Standardized Soil Water Index (SSWI), respectively. To calculate SPI, SRI, and SSWI, we used a calibrated Soil and Water Assessment Tool (SWAT) for the Karkheh River Basin (KRB) in Iran. Five bias-corrected Global Circulation Models (GCMs) under two Intergovernmental Panel on Climate Change (IPCC) scenarios projected future climate. For each drought type, we aggregated drought severity and occurrence probability rate of each index into a unique DHI. Five historic droughts were identified with different characteristics in each type. Future projections indicated a higher probability of severe and extreme drought intensities for all three types. The duration and frequency of droughts were predicted to decrease in precipitation-based SPI. However, due to the impact of rising temperature, the duration and frequency of SRI and SSWI were predicted to intensify. The DHI maps of KRB illustrated the highest agricultural drought exposures. Our analyses provide a comprehensive way to monitor multilevel droughts complementing the existing approaches.

show abstract

Section: Agro-hydrological Simulation and Model Calibrationmentioning

confidence: 99%

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran

Kamali

Kouchi

Yang

et al. 2017

Water

View full text Add to dashboard Cite

show abstract

“…Este erro decorre do fato de ser este um método empírico, sendo que esta descontinuidade evidenciada na equação utilizada para a obtenção da lâmina de escoamento superficial deve-se à formulação matemática do método. Além disto, Sartori et al (2005), em seu estudo, apontam também para a natureza aleatória do parâmetro CN, como observado por Hjelmfelt (1991).…”

Section: Resultsunclassified

Modelo para a obtenção do hidrograma de escoamento superficial em bacias hidrográficas. 2. Avaliação

Silva

Pruski

Cecílio

2009

Agraria

View full text Add to dashboard Cite

Neste artigo se apresenta avaliação do desempenho do modelo para estimativa do hidrograma de escoamento superficial em bacias hidrográficas apresentado por Silva et al. (2009). Monitorou-se uma bacia experimental localizada em Viçosa (MG), obtendo-se hidrogramas de escoamento superficial relativos a quatro eventos de precipitação. O modelo desenvolvido foi capaz de prover boa estimativa do hidrograma de escoamento superficial para estes eventos. A comparação destas estimativas com aquelas feitas por intermédio do Método Racional e do Método do Número da Curva possibilitou evidenciar superioridade do modelo desenvolvido na estimativa da vazão máxima e da lâmina total escoada. Palavras-chave: método do número da curva, método racional, modelagem hidrológicaModel to obtain the runoff hydrogram in watersheds. 2. Assessment AB S TR ACTThe model developed to obtain the runoff hydrogram (presented by Silva et al., 2009) was evaluated by the comparison of the results obtained it with those measured in one experimental watershed placed in Viçosa, Minas Gerais State -Brazil, where the runoff hydrograms to four precipitation events were obtained. The model developed was able to provide good results to estimate the hydrogram. The comparison of the results obtained with the model with those estimated by the Rational Method (to estimate the maximum flow rate) and the Curve Number Method (to estimate the maximum surface runoff depth) showed a better performance of the first.

show abstract

“…There are 13 parameters in the WBCM model: AREA -catchment area (km 2 ), FC -parameter characterising the "average" value of the root zone field capacity (-), POR -parameter characterising the average value of the root zone porosity (-), DROT -parameter of the root zone depth (mm), WIC -the upper limit of interception capacity (mm), SMAX -parameter representing the maximum capacity of the unsaturated zone (mm), ALPHA -parameter describing the non-linear progress of filling of the unsaturated zone (-), CN -SCS Runoff Curve Number (-), The linear distribution of local interception capacities over the catchment area is assumed, which results in a catchment-wide estimate of actual interception and throughfall. The US Soil Conservation Service method based on the runoff curve number (CN) assessment is used to quantify surface runoff (US SCS 1986;Hjelmfelt 1991). Both the recharge of the active zone and its depletion depend, in addition to the atmospheric boundary condition, on soil parameters (field capacity, porosity, hydraulic conductivity) and on the previous soil moisture content, being principally controlled by the field capacity parameter.…”

Section: Methodsmentioning

confidence: 99%

Impact of Arable Land to Grassland Conversion on the Vegetation-period Water Balance of a Small Agricultural Catchment (Němčický Stream)

Kovář¹,

Vassova²

2010

Soil & Water Res.

View full text Add to dashboard Cite

2 ). The catchment is a typical agricultural area with a large extent of arable land. This paper shows that the model used (WBCM) is capable of reliably simulating decadal water balance components for the actual land use. The same model is then used to estimate water balance changes brought about when 10% of arable land has been transformed into permanent grassland. It is shown that this land use change results in a pronounced reduction of surface runoff and an increase in subsurface storage over the vegetation periods of all three years. The vegetation period groundwater runoff was only enhanced in the wet year, while the total runoff was reduced in all three years.

show abstract

Investigation of Curve Number Procedure

Cited by 208 publications

References 22 publications

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran

Modelo para a obtenção do hidrograma de escoamento superficial em bacias hidrográficas. 2. Avaliação

Impact of Arable Land to Grassland Conversion on the Vegetation-period Water Balance of a Small Agricultural Catchment (Němčický Stream)

Contact Info

Product

Resources

About