Roughness Coefficients for Routing Surface Runoff

Engman, Edwin T.

doi:10.1061/(asce)0733-9437(1986)112:1(39)

Cited by 356 publications

(248 citation statements)

References 6 publications

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“…Spatially two soil profiles (Table 4) were applied horizontally to reflect the two main types of land cover in the catchment: grass and arable (Table 1). Manning roughness coefficients for overland flow were evaluated taking into account values reported in studies related to the catchment (Lionhope, 1990) and in the literature (Engman, 1986). This parameter was subject to calibration.…”

Section: Constructionmentioning

confidence: 99%

Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios

Al-Khudhairy

Thompson

Gavin

et al. 1999

Hydrological Sciences Journal

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The capability of the spatially-distributed, physically-based, rainfall-runoff modelling system, MIKE SHE, to simulate the hydrological behaviour of the natural and drained parts of the North Kent Grazing Marshes, UK, is investigated. The MIKE SHE code is applied to Bells Creek, a small, underdrained, agricultural catchment located within the marshes. The model is used to both provide insights into the essential parameters that control the hydrological processes in the catchment, and predict the influence of various, hypothetical, water management strategies (land use and drainage) on pumped discharge and soil moisture storage in the catchment. The water table model predictions arising from these hypothetical scenarios are also compared against field data obtained from on-going hydrological research on the neighbouring, natural, Elmley Marshes. The comparison is found to be favourable. The results of this study indicate the potential of the MIKE SHE system to simulate the hydrological regime of these wetlands, and hence to play an important role as a tool that can assist environmental and conservation agencies in the sound management of wetland resources. Modélisation hydrologique d'un marais de pâturage drainé utilisé comme terrain "agricole et simulation de scénarios de gestion de restaurationRésumé Ce travail examine la capacité d'un système de modélisation hydrologique physique, spatialement distribué, MIKE SHE, à simuler le comportement hydrologique de zones naturelles et drainées des marais du nord du Kent, au Royaume-Uni. Le code MIKE SHE a été appliqué au petit bassin agricole drainé de Bells Creek, situé dans ces marais. La modèle est utilisé afin de fournir à la fois un aperçu de paramètres essentiels contrôlant les processus hydrologiques dans le bassin et pour prédire l'influence de différentes stratégies de gestion des eaux (utilisation des terres et drainage) sur les débits pompés et l'humidité du sol. On compare également les prédictions du modèle de la nappe fournies pour ces différents scénarios aux données de terrain recueillies dans le cadre des recherches en cours sur les marais Elmley voisins, encore à l'état naturel. Les résultats de la comparaison sont positifs. Les résultats de cette étude montrent la capacité du code MIKE SHE à simuler le régime hydrologique de ces zones humides et donc sa vocation à être utilisé par les organismes en charge de l'environnement et de la protection pour un gestion rationnelle des ressources des zones humides.

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Section: Constructionmentioning

confidence: 99%

Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios

Al-Khudhairy

Thompson

Gavin

et al. 1999

Hydrological Sciences Journal

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“…Referring to the Manning's n value from literature study (Engman, 1986), the surface condition in Putih River is considered ranging from grass to woods.…”

Section: Sensitivity Analysis On Manning's Slope N Valuesmentioning

confidence: 99%

Hydraulic and Hydrologic Modeling of Steep Channel of Putih River, Magelang District, Central Java Province, Indonesia

Widowati

2017

Journal of the Civil Engineering Forum

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Hydrologic and hydraulic modeling are important to be conducted to examine the watershed response based on a rainfall input, especially over disaster-prone watershed such as Putih River watershed in Magelang, Central Java Province. A GIS-based gridbased distributed rainfall-runoff model was used to simulate the rainfall-runoff transformation. A two-dimensional hydrodynamic flow modeling was then carried out to simulate the flood processes on the stream and floodplain area. A sensitivity analysis was conducted on infiltration rate, Manning's n value, and rainfall intensity. Infiltration rate, Manning's n value, and rainfall intensity give considerable effects to the resulted flow hydrographs. The modeling results show that the results of hydrologic-hydraulic modeling is in good agreement with the observed results.

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“…Gholami (2004) used SWAT to stimulate the average monthly runoff ofEmameh watershed (a sub-basin of Jajrood watershed). Results exhibited a higher sensitivity of the model to overland roughness coefficient [1][2][3][4][5][6][7][8][9][10][11][12]. Omani et al (2007) used SWAT to stimulaterunoffin the Gharesar sub-basin northwest of the Karkheh River.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Omani et al (2007) used SWAT to stimulaterunoffin the Gharesar sub-basin northwest of the Karkheh River. They found a higher sensitivity to curve number [3][4][5][6][7][8][9][10][11][12][13][14][15]. Saadati (2003) stimulated daily discharge and water balance in Kasillianwatershed.Resultsshowed that the model was sensitive to the annual and monthly periods and yielded more reasonable results in comparison with the daily period (Saadati 2003).…”

Section: Literature Reviewmentioning

confidence: 99%

Sensitivity Analysis of Runoff Model by SWAT to Meteorological Parameters: A Case Study of Kasillian Watershed, Mazandaran, Iran

2017

International Journal of Research Studies in Agricultural Scien

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Roughness Coefficients for Routing Surface Runoff

Cited by 356 publications

References 6 publications

Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios

Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios

Hydraulic and Hydrologic Modeling of Steep Channel of Putih River, Magelang District, Central Java Province, Indonesia

Sensitivity Analysis of Runoff Model by SWAT to Meteorological Parameters: A Case Study of Kasillian Watershed, Mazandaran, Iran

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