Which method requires computational proof for demonstrating final stabilization under the GP?

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Multiple Choice

Which method requires computational proof for demonstrating final stabilization under the GP?

Explanation:
Final stabilization demonstrations under the GP hinge on how erosion control performance is quantified. When you use the RUSLE or RUSLE2 approach, you must supply computed proof—documented calculations that predict soil loss or ground cover over time and show it meets the stabilization criteria. These models bring in factors like rainfall erosivity, soil erodibility, slope length, cover-management, and support practices to generate numeric outputs you compare against permit thresholds, giving a traceable, reproducible basis for concluding stabilization. The 70% final cover method relies on a fixed vegetation cover percentage and generally doesn’t require formal computation. The Custom Method option allows other demonstrations, but without a required calculation, it doesn’t provide the same computational proof as RUSLE/RUSLE2. Therefore, the method requiring computational proof is the RUSLE or RUSLE2 approach.

Final stabilization demonstrations under the GP hinge on how erosion control performance is quantified. When you use the RUSLE or RUSLE2 approach, you must supply computed proof—documented calculations that predict soil loss or ground cover over time and show it meets the stabilization criteria. These models bring in factors like rainfall erosivity, soil erodibility, slope length, cover-management, and support practices to generate numeric outputs you compare against permit thresholds, giving a traceable, reproducible basis for concluding stabilization. The 70% final cover method relies on a fixed vegetation cover percentage and generally doesn’t require formal computation. The Custom Method option allows other demonstrations, but without a required calculation, it doesn’t provide the same computational proof as RUSLE/RUSLE2. Therefore, the method requiring computational proof is the RUSLE or RUSLE2 approach.

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