Research on the early-warning model with debris flow efficacy coefficient based on the optimal combination weighting law

Early-warning of debris flow plays an important role in disaster mitigation and prevention. Based on optional combination weighting law, the warning model with debris flow efficacy coefficient was built considering the evaluation factors including deposits of loose materials along the gully, gradient of mountain slope, effective precipitation in three dimensions, vegetation coverage rate, relative height difference, watershed area, and total amount of precipitation in a single day. The debris flow which occurred in the city of Dunhua, China was analyzed and evaluated; the data have been used in disaster warning in flood seasons. The result shows that early-warning model with debris flow efficacy coefficient is feasible and practical, and can be regarded as a new method of debris flow warning. © 2013, Springer-Verlag Berlin Heidelberg.