【摘要】：土壤鹽漬化的產(chǎn)生過程是一個多指標(biāo)參與、多層次驅(qū)動的復(fù)雜系統(tǒng),針對鹽漬化程度的評價的不確定性和模糊性問題,將不確定性云理論引入到土壤鹽漬化程度的多級模糊評價中,通過構(gòu)建土壤鹽漬化程度多級模糊評價指標(biāo)體系,構(gòu)建了鹽漬化程度的評語集云模型、誘發(fā)因子的隸屬度云模型及權(quán)重云模型,進(jìn)而提出了基于云理論改進(jìn)的土壤鹽漬化程度的多級模糊評價模型。同時,選定景泰川電力提灌灌區(qū)為研究區(qū),對該灌區(qū)的土壤鹽漬化程度進(jìn)行了評價,并將評價結(jié)果和評語集云模型結(jié)合用Matlab仿真顯示。研究表明:該灌區(qū)土壤的鹽漬化處于輕度鹽化土和中度鹽化土之間,0~100 cm土壤的含鹽量為0.224 2%的可能性最大;利用云理論改進(jìn)多級模糊評價模型對土壤的鹽漬化程度開展研究,用不確定性云參數(shù)代替精確數(shù)值,更具普遍性。相關(guān)研究可為開展鹽漬化程度評估和預(yù)測的研究提供有益參考。
[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.
【作者單位】： 華北水利水電大學(xué)水利學(xué)院;水資源高效利用與保障工程河南省協(xié)同創(chuàng)新中心;
【基金】：國家自然科學(xué)基金資助項目(51579102;31360204) 河南省教育廳科技創(chuàng)新人才支持計劃(14HASTIT047);河南省教育廳科技創(chuàng)新團(tuán)隊支持計劃(14IRTSTHN028) 河南省科技廳科技創(chuàng)新人才支持計劃(174200510020)
【分類號】：S156.41

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