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科爾沁沙地土壤水分特性多尺度傳遞函數(shù)模擬與適用性評(píng)估

發(fā)布時(shí)間:2019-04-09 19:15
【摘要】:本文以科爾沁沙丘—坨甸交錯(cuò)區(qū)為研究對(duì)象,利用參數(shù)統(tǒng)計(jì)方法和分形理論研究構(gòu)建基于土壤基本物理化學(xué)性質(zhì)的不同采樣尺度下土壤水分特征曲線的傳遞函數(shù),為該區(qū)域土壤水、溶質(zhì)的運(yùn)移,以及區(qū)域水文循環(huán)提供理論支持和數(shù)據(jù)保證。主要研究結(jié)果如下:1)對(duì)研究區(qū)3種采樣尺度下的不同地貌類型的土壤的物化性質(zhì)以及水力參數(shù)進(jìn)行統(tǒng)計(jì)分析。可知:研究區(qū)土壤顆粒偏粗,土壤中賦存的養(yǎng)分含量較低。土壤質(zhì)地多為砂土,還有少量的砂質(zhì)壤土以及壤質(zhì)砂土。2)采用非線性規(guī)劃法建立了3個(gè)不同采樣尺度下土壤水分特征曲線、ran Genuchten四參模型的傳遞函數(shù),表明在大采樣尺度下,土壤水分特征曲線的預(yù)測(cè)值與實(shí)測(cè)值的吻合程度最高。當(dāng)樣本數(shù)據(jù)足夠豐富,采樣點(diǎn)布設(shè)合理時(shí),所建立的土壤水分特征曲線傳遞函數(shù)可以適用于該區(qū)域(土壤成土較弱,為沙性母質(zhì)幼年土,砂粒含量占主導(dǎo)地位的砂土以及壤砂土)或與該區(qū)域土壤成因相似的地區(qū)。3)土壤具有自相似性或分形特征。土壤顆粒分形維數(shù)D的變化范圍為1.23~2.51,處于較低水平,多為風(fēng)沙土。D值按照流動(dòng)沙丘-半固定沙丘-固定沙丘-砂質(zhì)農(nóng)田-草甸農(nóng)田-草甸的順序呈逐漸增大的趨勢(shì)。D與砂、粉、粘粒含量之間的關(guān)系不是簡(jiǎn)單的線性相關(guān),而是呈明顯的對(duì)數(shù)相關(guān)關(guān)系。4)土壤水分特征曲線模型的分形維數(shù)與基于體積的土壤顆粒體積分形維數(shù)有著良好的線性關(guān)系。在不同采樣尺度下所建立的D與Ds方程比較接近。5)無論是哪種方法建立的傳遞函數(shù),其對(duì)沙丘地帶的模擬效果要優(yōu)于草甸地帶。利用參數(shù)統(tǒng)計(jì)模型建立的傳遞函數(shù)需要考慮尺度之間的轉(zhuǎn)換關(guān)系;而分形機(jī)理模型在不同采樣尺度上表現(xiàn)出一致性。
[Abstract]:In this paper, the transfer function of soil moisture characteristic curves under different sampling scales based on basic physical and chemical properties of soil is constructed by using parameter statistical method and fractal theory, taking Horqin Dune-Tuodian intersection area as the research object. It provides theoretical support and data guarantee for soil water, solute transport and regional hydrological cycle in the region. The main results are as follows: 1) the physical and chemical properties and hydraulic parameters of soils with different geomorphologic types under three sampling scales were statistically analyzed. It can be seen that the soil particles are thicker and the nutrient content in the soil is relatively low in the study area. The soil texture is mostly sandy soil, and there are a few sandy loam and loam sandy soil. 2) the transfer function of, ran Genuchten four-parameter model of soil water characteristic curve under three different sampling scales is established by using nonlinear programming method. The results showed that the best agreement was obtained between the predicted and measured values of soil moisture characteristic curve at large sampling scale. When the sample data is abundant and the sampling points are arranged reasonably, the transfer function of the soil water characteristic curve can be applied to this area (the soil is weak, and it is the sandy parent material juvenile soil). (3) the soil has self-similarity or fractal characteristics. 3) the soil has the characteristics of self-similarity or fractal in which the sand content is dominant and loam sand soil is similar to the soil origin in this area. The variation range of soil particle fractal dimension D is 1.23 ~ 2.51, which is at a lower level. The value of D increased gradually according to the order of moving dunes-semi-fixed dunes-sandy fields-meadows. The relationship between D and sand, powder and clay content was not a simple linear correlation. 4) there is a good linear relationship between the fractal dimension of soil moisture characteristic curve model and the fractal dimension of soil particle volume based on volume. The D obtained at different sampling scales is close to the Ds equation. 5) No matter which method is used to establish the transfer function, the simulation effect of the method is better than that of the meadow zone. The transfer function established by using the parametric statistical model needs to consider the transformation relationship between scales, while the fractal mechanism model shows consistency on different sampling scales.
【學(xué)位授予單位】:內(nèi)蒙古農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:S152.7

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