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数据包络分析模型(DEA)是投入-产出运行效率的评价模型,因其运算无须任何权重假设,避免了很多主观因素,在效益评估方面被广泛应用。由于山洪灾害的形成受多种因素的影响,每一种因素又包含众多的表现形式,为避免和减少评价的主观因素,提升评价的客观性,以地形因子、水系因子、暴雨日指数、滑坡和泥石流密度、综合灾度作为海南岛山洪灾害危险性评指标,应用DEA模型,对海南岛山洪灾害的危险性大小进行排序,根据成灾效率进行了山洪灾害危险性的等级划分。通过与历史山洪灾害情的对比分析,结果表明:该方法应用于山洪灾害危险性评价是可行的。
Data envelopment analysis model (DEA) is an evaluation model of input-output operational efficiency. It avoids many subjective factors because it does not need any weight assumptions and is widely used in benefit evaluation. Since the formation of mountain torrent disaster is affected by many factors, each of which contains many manifestations. To avoid or reduce the subjective factors of evaluation and enhance the objectivity of evaluation, landslide is caused by topographic factors, water factors, rainstorm days index And debris flow density as well as the comprehensive disaster degree as the indicator of the flash flood risk in Hainan Island, the dangerousness of the flash flood disaster in Hainan Island was ranked by the DEA model. The grade of the flash flood hazard was classified according to the disaster efficiency. Through the comparison with historical mountain torrent disasters, the results show that it is feasible to apply this method to the flood hazard assessment.