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鹽堿荒地土壤入滲參數(shù)的多元非線性預(yù)報(bào)模型

發(fā)布時(shí)間:2018-02-21 02:34

  本文關(guān)鍵詞: 鹽堿土壤 Kostiakov入滲模型參數(shù) 土壤傳輸函數(shù)法 非線性預(yù)報(bào) 出處:《人民黃河》2017年07期  論文類型:期刊論文


【摘要】:為給鹽堿荒地改良提供技術(shù)支撐,以原生鹽堿荒地土壤為研究對象,進(jìn)行了大田原位系列入滲試驗(yàn),獲取了累計(jì)入滲量與入滲歷時(shí)對應(yīng)關(guān)系的試驗(yàn)資料,依據(jù)Kostiakov入滲模型,構(gòu)建了入滲模型參數(shù)與同步土壤理化參數(shù)的樣本集。利用土壤傳輸函數(shù)法,建立了以土壤基本理化參數(shù)為輸入變量的Kostiakov二參數(shù)入滲模型參數(shù)k和α的多元非線性預(yù)報(bào)模型。結(jié)果表明:以土壤含水率、干容重、黏粒含量、粉粒含量、有機(jī)質(zhì)含量、含鹽量為輸入變量對入滲系數(shù)k進(jìn)行多元非線性預(yù)報(bào)和以土壤含水率、干容重、黏粒含量、有機(jī)質(zhì)含量、含鹽量為輸入變量對入滲指數(shù)α進(jìn)行多元非線性預(yù)報(bào)是可行的,兩參數(shù)預(yù)報(bào)模型的相對誤差平均值分別為5.5%和8.3%。
[Abstract]:In order to provide technical support for the improvement of saline-alkali wasteland, a series of in-situ infiltration experiments in the field were carried out with the primary saline-alkali wasteland soil as the research object. The experimental data of the relationship between the cumulative infiltration amount and the infiltration duration were obtained, and the Kostiakov infiltration model was used. A sample set of infiltration model parameters and synchronous soil physical and chemical parameters was constructed. The multivariate nonlinear prediction model of infiltration model parameters k and 偽 of Kostiakov two-parameter infiltration model with basic soil physical and chemical parameters as input variable was established. The results showed that the soil moisture content, dry bulk density, clay content, silt content and organic matter content were used as parameters. It is feasible to predict the infiltration coefficient k by using the input variables of salt content as input variables, and with the input variables of soil moisture content, dry bulk density, clay content, organic matter content and salt content as input variables. The average relative error of the two parameter prediction models is 5.5% and 8.3 respectively.
【作者單位】: 太原理工大學(xué)水利科學(xué)與工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(40671081) 山西省科技攻關(guān)項(xiàng)目(2007031070)
【分類號(hào)】:S152.7

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本文編號(hào):1520751


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