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对大中型水库移民后期扶持效果进行风险评价可掌握和了解后期扶持政策实施情况,以河南省淅川县水库搬迁安置移民为例,基于水库移民后期扶持监测评估调查数据,构建了移民风险评价指标体系,基于BP神经网络模型对该县后期扶持效果进行了风险评价。结果表明,淅川县大部分地区在后期扶持政策实施后移民的生产生活水平均得到了不同程度的恢复和提高,与监测评估综合评价结果相吻合,可见该模型用于水库移民后期扶持效果风险评价可行、有效。
The risk assessment of the post-supportive effect of large and medium-sized reservoir resettlement can grasp and understand the implementation of post-supportive policies. Taking the relocation resettlement resettlement of Xichuan County in Henan Province as an example, based on the survey data of post-support monitoring and evaluation of reservoir resettlement, the resettlement risk assessment index system , Based on the BP neural network model to carry on the risk appraisal to the late support effect of this county. The results show that the production and living standards of resettlers in all parts of Xichuan County have been restored and improved to some extent after the implementation of the post-supportive policies, which is in good agreement with the results of the comprehensive evaluation of monitoring and evaluation. It can be seen that this model is used to evaluate the effect of post- Feasible and effective.