Hydrologic evaluation of the curve number and Green and Ampt infiltration methods by applying Hooghoudt and Kirkham tile drain equations using SWAT

Bauwe, Andreas; Kahle, Petra; Lennartz, Bernd

doi:10.1016/j.jhydrol.2016.03.054

Cited by 34 publications

(20 citation statements)

References 27 publications

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“…The evaporation parameter ESCO is a sensitive factor in many SWAT studies ( e.g ., Holvoet et al ., ; Muleta and Nicklow, ; Kannan et al ., ), since this parameter controls evaporation and thus water balance. DEP_IMP is only used for special applications such as the inclusion of artificial drainage ( e.g ., Green et al ., ; Kiesel et al ., ; Hoang et al ., ; Bauwe et al ., ). DEP_IMP controls seepage through the impermeable layer (Sui and Frankenberger, ).…”

Section: Resultsmentioning

confidence: 97%

“…Based on a literature review (Holvoet et al ., ; Muleta and Nicklow, ), our own investigations (Koch et al ., ; Bauwe et al ., ), and knowledge about the study site, we selected 20 parameters with a specified range for sensitivity analysis (Table ). Parameters, for which measured data existed, such as soil data, were not included, since they were not part of the subsequent calibration process.…”

Section: Methodsmentioning

confidence: 99%

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Does the Temporal Resolution of Precipitation Input Influence the Simulated Hydrological Components Employing the SWAT Model?

Bauwe

Tiedemann

Kahle

et al. 2017

J American Water Resour Assoc

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This study aimed to evaluate the influence of sub‐daily precipitation time steps on model performance and hydrological components by applying the Green and Ampt infiltration method using the Soil and Water Assessment Tool (SWAT). Precipitation was measured at a resolution of 0.1 mm and aggregated to 5‐, 15‐, 30‐, and 60‐min time steps. Daily discharge data over a 10‐year period were used to calibrate and validate the model. Following a global sensitivity analysis, relevant parameters were optimized through an automatic calibration procedure using SWAT‐CUP for each time step. Daily performance statistics were almost equal among all four time steps (NSE ≈ 0.47). Discharge mainly consisted of groundwater flow (55%) and tile flow (42%), in reasonable proportions for the investigated catchment. In conclusion, model outputs were almost identical, showing simulations responded nearly independently of the chosen precipitation time step. This held true for (1) the selection of sensitive parameters, (2) performance statistics, (3) the shape of the hydrographs, and (4) flow components. However, a scenario analysis revealed that the precipitation time step becomes important when saturated hydraulic conductivities are low and curve numbers are high. The study suggests that there is no need in using precipitation time steps <1 h for lowland catchments dominated by soils with a low surface runoff potential if daily flow values are being considered. Editor's note: This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.

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Section: Resultsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

Does the Temporal Resolution of Precipitation Input Influence the Simulated Hydrological Components Employing the SWAT Model?

Bauwe

Tiedemann

Kahle

et al. 2017

J American Water Resour Assoc

Self Cite

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“…The distinctive variation of relief and geo-hydrological interaction is expressed of each component. The SWAT model has been considered to determine and classify various sub-basin factors, model of rainfall and runoff (Bauwe et al, 2016), model of infiltration, estimation of erosion and related catchment-wise sedimentation, simulation of nutrition etc. In SWAT, HRUs are one of the essential methods employed extensively in various fields.…”

Section: Watershed Delineation Through Soil and Water Assessment Tool (Swat)mentioning

confidence: 99%

Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India

Chakrabortty

Pal

Arabameri

et al. 2021

Environ Dev Sustain

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The large-scale water-induced erosion is one of the most determining elements on land degradation in subtropical monsoon-dominated region. From this large-scale erosion, the fertility of the agricultural land has been decline consequently. So, estimation of the amount of erosion and its accurate prediction is necessary for escaping from this hazardous situation. In this study, the application of evidential belief function (EBF), spatial logistic regression (SLR) and ensemble of EBF and SLR to estimate the erosion potentiality with the help of ArcGIS and Soil and water assessment tool (SWAT). The average annual soil erosion has been estimated with the help of revised universal soil loss equation (RUSLE) and geographical information system (GIS). Apart from this to evaluate the importance of morphotectonic parameters on soil erosion, the correlation between erosion potentiality and average annual soil erosion has been quantified. In large-scale erosion, there is a direct impact of storm rainfall event in monsoon period in the entire subtropical region. Here, in erosion potentiality assessment, the optimal capacity of ensemble EBF-SLR is higher than the single alone methods, i.e., EBF and SLR. So, the mentioned approaches can be applied in soil erosion research in subtropical environment with considering the erosion causal parameters. This type of information can be helpful to the decision-maker and stakeholders to take proper initiative to reducing the rate of erosion. The main task of the future researcher is to implement this method more accurate ways with considering more reliable variables and slight modifications of the approaches in keeping in the view of regional environment.

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“…The calculation of the water balance in order to obtain a soil profile or catchment scale requires field data collection such as rainfall, evapotranspiration, surface runoff, or, mainly, drainage outflow [5]. Several numerical models such as DRAINMOD [6], MIKE SHE [7], SWAT [8][9][10][11], and SWAP [12][13][14] have been developed to simulate hydrological processes related to the drainage of heavy soils. The catchment model was calibrated in several steps by incrementally including the observation data into the calibration to see the effect on the model performance, including diverse data types, especially tile drain discharge.…”

Section: Introductionmentioning

confidence: 99%

Determination of Tile Drain Discharge under Variable Hydraulic Conditions

Szejba

Bajkowski

2019

Water

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The aim of this study was an investigation of tile drain flow velocity under variable hydraulic conditions and of tile drain discharge using an ultrasonic flow meter. There is an essential variance between velocity values measured by an ultrasonic flow meter and reference values determined by a laboratory method. Differences result from specific measurement conditions, which appear in drainage pipe systems. The values of velocity measured by ultrasonic flow meters were higher than the reference values for three examined flow phases: Free, transient, and pressured flow. The discharge from a tile drain working on a partially filled up pipe in no-pressure conditions should be calculated by an adapted equation based on the California pipe method, whereas the discharge from a completely filled up drain pipe working over pressure should be calculated as a ratio between 0.428 times the measured velocity and the pipe cross-section area.

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Hydrologic evaluation of the curve number and Green and Ampt infiltration methods by applying Hooghoudt and Kirkham tile drain equations using SWAT

Cited by 34 publications

References 27 publications

Does the Temporal Resolution of Precipitation Input Influence the Simulated Hydrological Components Employing the SWAT Model?

Does the Temporal Resolution of Precipitation Input Influence the Simulated Hydrological Components Employing the SWAT Model?

Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India

Determination of Tile Drain Discharge under Variable Hydraulic Conditions

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