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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.
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 three extrinsic watersheds in Ohio (approximately 1O - 2O ha), subjected to near complete complete Urgebiety 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 generalized model 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 was dependent on whether mining-or reclamation-related watershed activities were predominam. Theoriginal Williams (1975) m odel fit the data least well of the five energy factors studied.