Within-Storm Rainfall Distribution Effect on Soil Erosion Rate

Ahmed, S. I.; Rudra, R. P.; Gharabaghi, Bahram; MacKenzie, Ken; Dickinson, W. T.

doi:10.5402/2012/310927

Cited by 12 publications

(7 citation statements)

References 13 publications

(11 reference statements)

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“…The storm hyetograph is crucial not only for urban storm water management, but also for the catchment hydrology in general [1][2][3][4]. Given a total rainfall depth and duration for a certain return period, the storm hyetograph determines the peak flow/time and the drainage capability demand in a catchment [5,6].…”

Section: Introductionmentioning

confidence: 99%

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Pan

Wang

Liu

et al. 2017

Water

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Abstract:The storm hyetograph is critical in drainage design since it determines the peak flooding volume in a catchment and the corresponding drainage capacity demand for a return period. This study firstly compares the common design storms such as the Chicago, Huff, and Triangular curves employed to represent the storm hyetographs in the metropolitan area of Guangzhou using minute-interval rainfall data during 2008-2012. These common design storms cannot satisfactorily represent the storm hyetographs in sub-tropic areas of Guangzhou. The normalized time of peak rainfall is at 33 ± 5% for all storms in the Tianhe and Panyu districts, and most storms (84%) are in the 1st and 2nd quartiles. The Huff curves are further improved by separately describing the rising and falling limbs instead of classifying all storms into four quartiles. The optimal time intervals are 1-5 min for deriving a practical urban design storm, especially for short-duration and intense storms in Guangzhou. Compared to the 71 observed storm hyetographs, the Improved Huff curves have smaller RMSE and higher NSE values (6.43, 0.66) than those of the original Huff (6.62, 0.63), Triangular (7.38, 0.55), and Chicago (7.57, 0.54) curves. The mean relative difference of peak flooding volume simulated with SWMM using the Improved Huff curve as the input is only 2%, −6%, and 8% of those simulated by observed rainfall at the three catchments, respectively. In contrast, those simulated by the original Huff (−12%, −43%, −16%), Triangular (−22%, −62%, −38%), and Chicago curves (−17%, −19%, −21%) are much smaller and greatly underestimate the peak flooding volume. The Improved Huff curve has great potential in storm water management such as flooding risk mapping and drainage facility design, after further validation.

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Section: Introductionmentioning

confidence: 99%

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Pan

Wang

Liu

et al. 2017

Water

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“…In analogy to CORINE's erosivity formula, the Claise basin has an erosivity factor of 1, while for Nahr Ibrahim, the erosivity index is 10. Despite the much more pronounced rainfall in the Claise, the even precipitation distribution in the region resulted in a reduction of climate-induced soil erosion [99] as opposed to Nahr Ibrahim, signifying higher climate-induced erosion risks. Table 7 presents the slopes of both study areas with respect to the CORINE's model classification.…”

Section: Erosivity Under Different Climatic Contextsmentioning

confidence: 99%

Evaluating Differences of Erosion Patterns in Natural and Anthropogenic Basins through Scenario Testing: A Case Study of the Claise, France and Nahr Ibrahim, Lebanon

Sayah¹,

Nedjaï²,

Abdallah³

et al. 2019

Soil Erosion - Rainfall Erosivity and Risk Assessment

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This study assessed soil erosion risks of two basins representing different geographical, topographical, climatological and land occupation/management settings. A comparison and an evaluation of site-specific factors influencing erosion in the French Claise and the Lebanese Nahr Ibrahim basins were performed. The Claise corresponds to a natural park with a flat area and an oceanic climate, and is characterized by the presence of 2179 waterbodies (mostly ponds) considered as hydro-sedimentary alternating structures, while Nahr Ibrahim represents an orographic Mediterranean basin characterized by a random unequal land occupation distribution. The Claise was found to be under 12.48% no erosion (attributed to the dense pond network), 65.66% low, 21.68% moderate and 0.18% high erosion risks; while Nahr Ibrahim was found to be under 4, 39.5 and 56.4%, low, moderate and high erosion risks, along with 66% land degradation determined from the intersection of land capability and land occupation maps. Under the alternative scenario for the Claise where ponds were considered dried, erosion risks became 1.12, 0.52, 76.8 and 21.56%, no erosion, low, moderate and high risks, respectively. For Nahr Ibrahim, and following the Land Degradation Neutrality intervention, high erosion risks decreased by 13.9%, while low and moderate risks increased by 3 and 10.8%.

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“…MFI was found to be 80, corresponding to the low variability class. This signifies evenly distributed rainfall, thus reducing risks of climate-induced soil erosion [78]. The Bagnouls-Gaussen Aridity Index (BGI) on the other hand, was found to be "0", signifying that the study area corresponds to the humid regime as a result of its oceanic influence.…”

Section: Erosivity In a Degraded Oceanic Climate Settingmentioning

confidence: 99%

Assessing the Impact of Man–Made Ponds on Soil Erosion and Sediment Transport in Limnological Basins

Sayah

Nedjaï

Kaffas

et al. 2019

Water

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The impact of ponds on basins has recently started to receive its well-deserved scientific attention. In this study, pond-induced impacts on soil erosion and sediment transport were investigated at the scale of the French Claise basin. In order to determine erosion and sediment transport patterns of the Claise, the Coordination of Information on the Environment (CORINE) erosion and Soil and Water Assessment Tool (SWAT) models were used. The impact of ponds on the studied processes was revealed by means of land cover change scenarios, using ponded versus pondless inputs. Results show that under current conditions (pond presence), 12.48% of the basin corresponds to no-erosion risk zones (attributed to the dense pond network), while 65.66% corresponds to low-erosion risk, 21.68% to moderate-erosion risk, and only 0.18% to high-erosion risk zones. The SWAT model revealed that ponded sub-basins correspond to low sediment yields areas, in contrast to the pondless sub-basins, which yield appreciably higher erosion rates. Under the alternative pondless scenario, erosion risks shifted to 1.12%, 0.52%, 76.8%, and 21.56% for no, low, moderate, and high-erosion risks, respectively, while the sediment transport pattern completely shifted to higher sediment yield zones. This approach solidifies ponds as powerful human-induced modifications to hydro/sedimentary processes.

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Within-Storm Rainfall Distribution Effect on Soil Erosion Rate

Cited by 12 publications

References 13 publications

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Evaluating Differences of Erosion Patterns in Natural and Anthropogenic Basins through Scenario Testing: A Case Study of the Claise, France and Nahr Ibrahim, Lebanon

Assessing the Impact of Man–Made Ponds on Soil Erosion and Sediment Transport in Limnological Basins

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