| RUNOFF-ENERGY FACTORS FORMUSLE SEDIMENT-YIELD MODEL FOR SURFACE MINES |
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| 作者姓名： | James V. Bonta |
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| 作者单位： | Research Hydraulic Engineer，USDA-Agriculture Research Service，North Appalachian Experimental Watershed，P.O. Box 488，Coshocton，OH 43812. email:bonta@coshocton.com |
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| 摘 要： | 1INTRODUCTIONSediment-yieldestimatesarerequiredforsurfacec0al-minepermitsunderFederalandStatelaws-Estimatesareneededfordeterminingtheimpactsofminingandreclamationduringmine0Peration,fordiversi0nandsmallimpoundmentdesigns,andforsizingsedimentpondstocontrolsedimenttransporteddownstfeam0faproposedminesite.Technologiesavailablef0rsediment-yieldestimationsincludetheUniversalSoilLossEquati0n(USLE,WischmierandSmith,l978);theWaterErosionPredictionPr0ject(WEPP,FlanaganandLivingst0n,l995),…
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RUNOFF-ENERGY FACTORS FOR MUSLE SEDIMENT-YIELD MODEL FOR SURFACE MINES |
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| James V. Bonta.RUNOFF-ENERGY FACTORS FORMUSLE SEDIMENT-YIELD MODEL FOR SURFACE MINES[J].International Journal of Sediment Research,2000(2). |
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| Authors: | James V Bonta |
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| Abstract: | The Modified Universal Soil Loss Equation (MUSLE) is often used for sediment-yield estimations insurface mines for design and impact evaluations. However, it is not known if the widely-used runoff-energy factor of MUSLE is appropriate, or if its parameters are the same for surface mines as foragricultural watersheds from which MUSLE was developed. Suspended-sediment data from threeexperimental watersheds in Ohio (approximately 1O - 2O ha), subjected to near complete distUrbance dueto mining and reclamation, were used to investigate five altemate runoffenergy factors in the MUSLEsediment-yield model for use in surface mines. The evaluation led to the selection of the generalizedmodel form, a (runoff volume X peak flow rate)b, as the best choice among models investigated.Exponent b was greater than the widely-used value of 0.56, ranging from 0.68 to 1. 10. Parameter b wasdependent on whether mining-or reclamation-related watershed activities were predominam. Theoriginal Williams (1975) model fit the data least well of the five energy factors studied. |
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| Keywords: | MUSLE USLE Surface mine Hydrology Sedimentation Sediment yield Erosion Drastic land disturbance Disturbed land Curve number Water quality |
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