Comparison of Direct Outflow Calculated by Modified SCS-Cn Methods for Mountainous and Highland Catchments in Upper Vistula Basin, Poland and Lowland Catchment in South Carolina, Usa

Wałęga, Andrzej; Cupak, Agnieszka; Amatya, Devendra M.; Drozdzal, E.

doi:10.15576/asp.fc/2017.16.1.187

Cited by 19 publications

(8 citation statements)

References 18 publications

(32 reference statements)

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“…The rainfall distribution for storm event was based on Deutscher Verband für Wasserwirtschaft und Kulturbau DVWK method [33]. Direct runoff was calculated based on the Soil Conservation Service-Curve Number SCS-CN method [32,36,37] according to the following formulas:…”

Section: Methodsmentioning

confidence: 99%

Influence of Changes of Catchment Permeability and Frequency of Rainfall on Critical Storm Duration in an Urbanized Catchment—A Case Study, Cracow, Poland

Wałęga

Radecki‐Pawlik

Cupak

et al. 2019

Water

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The increase of impermeable areas in a catchment is known to elevate flood risk. To adequately understand and plan for these risks, changes in the basin water cycle must be quantified as imperviousness increases, requiring the use of hydrological modeling to obtain design runoff volumes and peak flow rates. A key stage of modeling is adopting the structure of the model and estimating its parameters. Due to the fact that most impervious basins are uncontrolled, hydrological models that do not require parameter calibration are advantageous. At the same time, it should be remembered that these models are sensitive to the values of assumed parameters. The purpose of this work is to determine the effect of catchment impermeability on the flow variability in the Sudół Dominikański stream in Cracow, Poland, and assess the influence of the frequency of rainfall on values of time of concentration (here it is meant as critical storm duration). The major finding in this work is that the critical storm duration for all different scenarios of catchment imperviousness depends on the rainfall exceedance probability. In the case of rainfall probability lower than 5.0%, the critical storm duration was equal to 2 h, for higher probabilities (p ≥ 50%) it was equal to 24 h. Simulations showed that the increase of impermeable areas caused peak time abbreviation. In the case of rainfall with exceedance probability p = 1.0% and critical storm duration Dkr = 2 h, the peak time decreased about 12.5% and for impermeable areas increased from 22.01 to 44.95%.

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Section: Methodsmentioning

confidence: 99%

Influence of Changes of Catchment Permeability and Frequency of Rainfall on Critical Storm Duration in an Urbanized Catchment—A Case Study, Cracow, Poland

Wałęga

Radecki‐Pawlik

Cupak

et al. 2019

Water

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“…However, results show improvement in flow predictions using CNs adjusted for antecedent runoff conditions and water table position (Epps et al, 2013b). 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.…”

Section: Model Development Testing/applicationmentioning

confidence: 90%

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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“…where CN is the curve number related to the soil characteristics, land cover and the antecedent moisture condition. The SCS methodology can be successfully applied in Polish hydrometeorological conditions as shown by previous research [69]. Basing on methodology applied by Ignar [70], the soils were classified into four groups of different infiltration capabilities : A, the highest; B, above the mean; C, below the mean; and D, the lowest.…”

Section: Pluvial Flood Risk Assessmentmentioning

confidence: 99%

A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas

Szewrański

Chruściński

Hoof

et al. 2018

Water

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The interplay of an ever-growing number of inhabitants, sprawl development, soil sealing, changes in urban traffic characteristics, as well as observed climate trends gives rise to more frequent pluvial flooding in cities, a higher runoff of water, and an increasing pollution of surface water. The aim of this research is to develop a location intelligence system for the assessment of pluvial flooding risks and the identification of storm water pollutant sources from roads in newly-developed areas. The system combines geographic information systems and business intelligence software, and it is based on the original Pluvial Flood Risk Assessment tool. The location intelligence system effectively identifies the spatial and temporal distribution of pluvial flood risks, allows to preliminarily evaluate the total runoff from roads, and helps localise potential places for new water management infrastructure. Further improvements concern the modelling of a flow accumulation and drainage system, the application of weather radar precipitation data, and traffic monitoring and modelling.

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Comparison of Direct Outflow Calculated by Modified SCS-Cn Methods for Mountainous and Highland Catchments in Upper Vistula Basin, Poland and Lowland Catchment in South Carolina, Usa

Cited by 19 publications

References 18 publications

Influence of Changes of Catchment Permeability and Frequency of Rainfall on Critical Storm Duration in an Urbanized Catchment—A Case Study, Cracow, Poland

Influence of Changes of Catchment Permeability and Frequency of Rainfall on Critical Storm Duration in an Urbanized Catchment—A Case Study, Cracow, Poland

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

A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas

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