基于熵权与相对熵排序法的护坡植被系统优选

Optimization of Slope Vegetation System Based on Entropy Method and Relative Entropy Evaluation Method

[目的]构建一个科学合理的护坡植被系统稳定性评价模型对备选护坡植被系统的稳定性进行评价,为边坡生态重建方案的选取提供参考依据。[方法]运用分层递阶的分析方法,综合边坡和植被两方面主要因素,选取岩石质量指标、岩体完整性系数、群落覆盖度、景观优美度等重要指标,构建了护坡植被系统稳定性评价指标体系。然后,运用信息熵法对各评价指标进行赋权并运用相对熵排序法计算备选方案相对贴近度,从而构建了基于熵权与相对熵排序法的护坡植被系统优选模型。最后,运用该模型对某山区高速公路边坡生态恢复建设中的4种备选用的护坡植被系统进行评价。[结果]4种备选用植被系统的优越度分别为1.90%,5.37%,2.98%和99.99%,第4种护坡植被系统[3种植物混种,其中白三叶∶狗牙根=1∶3,且草本植物∶灌木植物(多花木兰)=1∶5]最优,该优选结果与基于模糊物元法的优选结果以及工程实践结果相一致。[结论]该模型有效可行,可以用于指导工程实践。

[Objective]A scientific and reasonable stability evaluation model for slope protection vegetation system was established to evaluate the stability of alternative slope protection vegetation systems in order to provide reference for the selection of slope ecological reconstruction scheme.[Methods]Using hierarchical analysis method,we established a stability evaluation index system of slope vegetation system by synthetically analyzing the main factors from slope and vegetation.And the main indexes include rock quality index,integrity ratio,community coverage,vegetation landscape grace and so on.Then,entropy method was used to calculate the weights of evaluation indexes and relative entropy evaluation method was used to calculate the relative closeness values of alternative schemes.Then we established an optimization model of slope vegetation system based on entropy method and relative entropy evaluation method.Finally,the model was used to evaluate the stability of the four slope protection vegetation systems that could be used to restore the ecological system of a highway slope in mountain area.[Results]The superior degrees of the four slope protection vegetation systems were 1.90% ,5.37% ,2.98% and 99.99% .The forth slope protection vegetation system[mixed planting 3 plants and the Trifolium repens：bermuda grass=1∶3,the herb：bush plant（Magnolia multiflora）=1∶5]was the optimal vegetation system.The optimum result was consistent with theoptimum result based on fuzzy matter-element method and the result of engineering practice.[Conclusion]The model is effective and feasible,and can be used to guide engineering practice.