Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States

Wałęga, Andrzej; Amatya, Devendra M.; Caldwell, Peter V.; Marion, Dan; Panda, Sudhanshu Sekhar

doi:10.1016/j.ejrh.2019.100645

Cited by 54 publications

(40 citation statements)

References 45 publications

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“…In a similar study using modification of the soil water retention parameter in the CN model, Wałęga et al (2017) found better predictions of storm runoff events on WS80 compared to the classic SCS-CN method, consistent with Blair et al (2012). Most recently, Walega et al (2019) successfully tested a modified version of the widely used SCS-CN based SME model and SCS TR-55 graphical peak discharge methods for predicting runoff and peak discharge, respectively, for selected storm events from the WS80 watershed for 2011-2015 period. Additional study is underway to further test these SCS CN methods with data from multiple forest sites.…”

Section: Model Development Testing/applicationmentioning

confidence: 58%

“…As a result, Amatya, Harrison, and Trettin (2016) reported the peak discharge of 17.4 m 3 s -1 , which exceeded the previously measured (October 24, 2008) record of 3.8 m 3 s -1 on WS80, equivalent to 500-year return period estimates. This provides insights for a need to revisit existing approaches for hydrologic design of forest cross drainage and other water management structures as concerns about extreme storm events resulting from global warming continue, as suggested by Tian et al (2019) and Walega et al (2019).…”

Section: Climate Variability and Extreme Eventsmentioning

confidence: 87%

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Long-Term Ecohydrologic Monitoring: A Case Study from the Santee Experimental Forest, South Carolina

Amatya¹,

Trettin²

2020

JSCWR

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Long-term research on gauged watersheds within the USDA Forest Service’s Experimental Forest and Range (EFR) network has contributed substantially to our understanding of relationships among forests, water, and hydrologic processes and watershed management, yet there is only limited information from coastal forests. This article summarizes key findings from hydrology and water-quality studies based on long-term monitoring on first-, second-, and third-order watersheds on the Santee Experimental Forest, which are a part of the headwaters of the east branch of the Cooper River that drains into the harbor of Charleston, South Carolina. The watersheds are representative forest ecosystems that are characteristic of the low-gradient Atlantic Coastal Plain. The long-term (35-year) water balance shows an average annual runoff of 22% of the precipitation and an estimated 75% for the evapotranspiration (ET), leaving the balance to groundwater. Non-growing season prescribed fire, an operational management practice, shows no effects on streamflow and nutrient export. The long-term records were fundamental to understanding the effects of Hurricane Hugo in 1989 on the water balance of the paired watersheds that were related to vegetation damage by Hugo and post-Hugo responses of vegetation. The long-term precipitation records showed that the frequency of large rainfall events has increased over the last two decades. Although there was an increase in air temperature, there was no effect of that increase on annual streamflow and water table depths. The long-term watershed records provide information needed to improve design, planning, and assessment methods and tools used for addressing the potential impacts of hydrologic responses on extreme events; risk and vulnerability assessments of land use; and climate and forest disturbance on hydrology, ecology, biogeochemistry, and water supply.

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Section: Model Development Testing/applicationmentioning

confidence: 58%

Section: Climate Variability and Extreme Eventsmentioning

confidence: 87%

Long-Term Ecohydrologic Monitoring: A Case Study from the Santee Experimental Forest, South Carolina

Amatya¹,

Trettin²

2020

JSCWR

Self Cite

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“…On the other hand, rainfall causing direct runoff was assumed for the calculations. When analysing the obtained results, it was also observed that in the vast majority of study catchments (22), the observations focused around the curve, where the CN parameter was estimated for AMC II. In the Białka, Czarna, Grajcarek, Lepietnica, Uszwica and Wapienica catchments, the observations focused mainly on the AMC III curve.…”

Section: Resultsmentioning

confidence: 80%

“…The last type of behaviour is "violent", where for high rainfall, the CN values are apparently constant, except for very low episodes for which the CN suddenly increases [21]. A study related to determining the CN-P relationship with the use of asymptotic functions was also conducted by Wałęga et al [22], where the analyses were performed for forest catchments. In the work of Ebrahimian et al [23], these functions were used to estimate CN in urban catchments.…”

Section: Introductionmentioning

confidence: 99%

Identification of the Relationship between Rainfall and the CN Parameter in Western Carpathian Mountain Catchments in Poland

Młyński

Wałęga

2020

Sustainability

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The aim of this study was to identify the form of the dependence describing the relationship between rainfall (P) and the curve number (CN) parameter using the Natural Resources Conservation Service (NRCS-CN) method in the mountain catchments of the Western Carpathians. The study was carried out in 28 catchments areas in the Western Carpathians in the Upper Vistula Basin, Poland. The study was conducted in the following stages: determination of the volume of the direct runoff using the NRCS-CN method, determination of the P–CN relationship using asymptotic functions, kinetic equation and complementary error function; determination of the volume of the direct runoff from the catchment area, accounting for the correction of the decline; determination of the value of the efficiency coefficient of the analysed models. On the basis of the conducted study, a strong relationship was found between the direct runoff and the rainfall that caused it. The study showed that the empirical values of the CN parameter differed from the values determined on the basis of the volume of rainfall and runoff. The vast majority of study catchments were characterised by a standard P–CN relationship. The kinetic model was found to be the best model to describe the P–CN relationship. The asymptotic model showed the greatest stability for high rainfall episodes. It was shown that the application of the catchment slope correction improved the quality of the NRCS-CN model.

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“…Since the effect of urbanization on floods is taken into account, the determination of land changes from satellite images reveals that this is an important data source. In the literature, different remote sensing techniques are used to create land use maps from satellite images (Lockaby et al, 2011;O'Driscoll et al, 2010;Walsh et al, 2016;Walega et al, 2020). Determining the size of the flood is another important factor in risk management to minimize flood losses.…”

Section: Introductionmentioning

confidence: 99%

Impacts on Flash Urban Floods of Urbanization, Climate Change and Mismanagement

Bak

2020

Preprint

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Floods are among the most dangerous natural disasters that affect the development of a region. Flood events worldwide cause the utmost casualties and property damage. Increasing urbanization and population have significant impacts on the natural environment. Human activities such as uncontrolled building constructions in urban areas, land use changes and lack of urban planning, all affect floods. In urban flood management, determining the size and risk areas of the flood is extremely important in order to reduce the possible losses. In this study, five basins which have been experiencing floods caused by climate change and increasing urbanization in Bodrum, which is one of Turkey's most important tourism centers, have been examined. Maximum flood flow rates were calculated in these basins by using Soil Conservation-Curve Number (SCS-CN) precipitation-flow model with the effect of urbanization changes in 1984, 2010, 2011 and 2019. Flood hydrographs of the basins for the years studied were determined. In addition, Multiple Criteria Decision Making (MCDM) model was used to create flood risk maps of basins. As a result of the study, it was determined that the increase in urbanization in the period from 1984 to 2019, caused the flood flows to increase as well as the areas at risk to increase. The flood problems caused by urban growth and distorted urbanization were identified and measures and suggestions to be taken in urban flood management were introduced.

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Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States

Cited by 54 publications

References 45 publications

Long-Term Ecohydrologic Monitoring: A Case Study from the Santee Experimental Forest, South Carolina

Long-Term Ecohydrologic Monitoring: A Case Study from the Santee Experimental Forest, South Carolina

Identification of the Relationship between Rainfall and the CN Parameter in Western Carpathian Mountain Catchments in Poland

Impacts on Flash Urban Floods of Urbanization, Climate Change and Mismanagement

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