灌区土壤盐渍化程度云理论改进多级模糊评价模型
发布时间:2019-04-22 11:54
【摘要】:土壤盐渍化的产生过程是一个多指标参与、多层次驱动的复杂系统,针对盐渍化程度的评价的不确定性和模糊性问题,将不确定性云理论引入到土壤盐渍化程度的多级模糊评价中,通过构建土壤盐渍化程度多级模糊评价指标体系,构建了盐渍化程度的评语集云模型、诱发因子的隶属度云模型及权重云模型,进而提出了基于云理论改进的土壤盐渍化程度的多级模糊评价模型。同时,选定景泰川电力提灌灌区为研究区,对该灌区的土壤盐渍化程度进行了评价,并将评价结果和评语集云模型结合用Matlab仿真显示。研究表明:该灌区土壤的盐渍化处于轻度盐化土和中度盐化土之间,0~100 cm土壤的含盐量为0.224 2%的可能性最大;利用云理论改进多级模糊评价模型对土壤的盐渍化程度开展研究,用不确定性云参数代替精确数值,更具普遍性。相关研究可为开展盐渍化程度评估和预测的研究提供有益参考。
[Abstract]:The production process of soil salinization is a complex system with multi-index participation and multi-level drive, aiming at the uncertainty and fuzziness in evaluating the degree of salinization. The uncertainty cloud theory is introduced into the multi-level fuzzy evaluation of soil salinization degree. By constructing the multi-level fuzzy evaluation index system of soil salinization degree, a cloud collection model for evaluation of soil salinization degree is constructed. The membership cloud model and the weighted cloud model of the induced factors are used, and then a multi-level fuzzy evaluation model of soil salinization degree based on cloud theory is proposed. At the same time, Jingtai Sichuan Electric Power Irrigation District was selected as the study area, and the degree of soil salinization in this irrigation area was evaluated, and the evaluation results were combined with the evaluation cloud model and the Matlab simulation was used to show the degree of soil salinization in the irrigation area. The results showed that the salinization of the soil in this irrigation area was between mild salinized soil and moderate salinized soil, and the salt content of 0 / 100 cm soil was the most likely to be 0.224; The degree of soil salinization is studied by using cloud theory to improve the multi-level fuzzy evaluation model. It is more universal to replace accurate values with uncertain cloud parameters. The related research can provide a useful reference for the evaluation and prediction of salinization degree.
【作者单位】: 华北水利水电大学水利学院;水资源高效利用与保障工程河南省协同创新中心;
【基金】:国家自然科学基金资助项目(51579102;31360204) 河南省教育厅科技创新人才支持计划(14HASTIT047);河南省教育厅科技创新团队支持计划(14IRTSTHN028) 河南省科技厅科技创新人才支持计划(174200510020)
【分类号】:S156.41
[Abstract]:The production process of soil salinization is a complex system with multi-index participation and multi-level drive, aiming at the uncertainty and fuzziness in evaluating the degree of salinization. The uncertainty cloud theory is introduced into the multi-level fuzzy evaluation of soil salinization degree. By constructing the multi-level fuzzy evaluation index system of soil salinization degree, a cloud collection model for evaluation of soil salinization degree is constructed. The membership cloud model and the weighted cloud model of the induced factors are used, and then a multi-level fuzzy evaluation model of soil salinization degree based on cloud theory is proposed. At the same time, Jingtai Sichuan Electric Power Irrigation District was selected as the study area, and the degree of soil salinization in this irrigation area was evaluated, and the evaluation results were combined with the evaluation cloud model and the Matlab simulation was used to show the degree of soil salinization in the irrigation area. The results showed that the salinization of the soil in this irrigation area was between mild salinized soil and moderate salinized soil, and the salt content of 0 / 100 cm soil was the most likely to be 0.224; The degree of soil salinization is studied by using cloud theory to improve the multi-level fuzzy evaluation model. It is more universal to replace accurate values with uncertain cloud parameters. The related research can provide a useful reference for the evaluation and prediction of salinization degree.
【作者单位】: 华北水利水电大学水利学院;水资源高效利用与保障工程河南省协同创新中心;
【基金】:国家自然科学基金资助项目(51579102;31360204) 河南省教育厅科技创新人才支持计划(14HASTIT047);河南省教育厅科技创新团队支持计划(14IRTSTHN028) 河南省科技厅科技创新人才支持计划(174200510020)
【分类号】:S156.41
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