174 resultados para Soil-water retention modeling


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A novel approach is proposed for the simultaneous optimization of mobile phase pH and gradient steepness in RP-HPLC using artificial neural networks. By presetting the initial and final concentration of the organic solvent, a limited number of experiments with different gradient time and pH value of mobile phase are arranged in the two-dimensional space of mobile phase parameters. The retention behavior of each solute is modeled using an individual artificial neural network. An "early stopping" strategy is adopted to ensure the predicting capability of neural networks. The trained neural networks can be used to predict the retention time of solutes under arbitrary mobile phase conditions in the optimization region. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for amino acids derivatised by a new fluorescent reagent.

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A novel method for the optimization of pH value and composition of mobile phase in HPLC using artificial neural networks and uniform design is proposed. As the first step. seven initial experiments were arranged and run according to uniform design. Then the retention behavior of the solutes is modeled using back-propagation neural networks. A trial method is used to ensure the predicting capability of neural networks. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for both basic and acidic samples.

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Vegetation cover plays an important role in the process of evaporation and infiltration. To explore the relationships between precipitation, soil water and groundwater in Taihang mountainous region, China, precipitation, soil water and water table were observed from 2004 to 2006, and precipitation, soil water and groundwater were sampled in 2004 and 2005 for oxygen-18 and deuterium analysis at Chongling catchment. The soil water was sampled at three sites covered by grass (Carex humilis and Carex lanceolata), acacia and arborvitae respectively. Precipitation is mainly concentrated in rainy seasons and has no significant spatial variance in study area. The stable isotopic compositions are enriched in precipitation and soil water due to the evaporation. The analysis of soil water potential and isotopic profiles shows that evaporation of soil water under arborvitae cover is weaker than under grass and acacia, while soil water evaporation under grass and acacia showed no significant difference. Both delta O-18 profiles and soil water potential dynamics reveal that the soil under acacia allows the most rapid infiltration rate, which may be related to preferential flow. In the process of infiltration after a rainstorm, antecedent water still takes up over 30% of water in the topsoil. The soil water between depths of 0-115 cm under grass has a residence time of about 20 days in the rainy season. Groundwater recharge from precipitation mainly occurs in the rainy season, especially when rainstorms or successive heavy rain events happen.

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为分析不同土地利用方式下坡面土壤水分特性的差异和规律,对黄土高原水蚀风蚀交错带典型坡面上农地、林地和草地的土壤水分特性进行了分析。结果表明:(1)苜蓿地土壤的持水能力和供水能力最强,其次是杏树林和长芒草地,谷子地最差;(2)通过土壤水分有效性分析发现,水蚀风蚀交错带田间持水量相当于-0.2×105Pa土壤基质势时的土壤含水量,永久凋萎点则低于-2.0×106Pa土壤基质势对应的土壤含水量;(3)苜蓿地有效水含量最高,谷子地有效水含量最低,而且苜蓿地土壤有效水含量的提高主要是提高了迟效水部分;(4)对不同土地利用方式下的土壤比水容量变化曲线研究表明,土壤比水容量在田间持水量附近随土壤含水量的降低减小的很快,而当土壤水分降低到田间持水量的50%~60%以下时,土壤比水容量基本不变。

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在试验过程中,通常采用一个土样进行连续试验来测定土壤的持水特征。此时,土样的有机质、黏粒矿物类型和阳离子交换量等性质基本保持不变,而土壤的容重在水力学和机械压力共同作用下会发生很大的变化。因此,我们认为实测的土壤持水特征不再是土壤吸力和含水量相对应的一条曲线,而是由土壤质量含水量、吸力和容重三变量共同确定的一个曲面。本文在Brooks-Corey土壤水分特征曲线模型的基础上,提出了两种描述土壤质量含水量、吸力和容重三变量关系的曲面模型,分析了模型的优缺点和适用条件,并采用离心机石蜡控容重法实测了四种质地填装土壤的三变量特征曲面。研究结果表明:土壤持水特征是由土壤质量含水量、吸力和容重三变量共同确定的一个曲面这一假设是合理的;类似于Brooks-Corey模型的两种幂函数经验曲面模型能够合理地描述填装土壤的实测数据,决定系数均大于0.94;模型Ⅰ的拟合效果略好于模型Ⅱ,但模型Ⅱ包含两个物理意义明确的参数,具有一定的优势。这一研究将为校正容重变化对土壤水力学参数的影响提供新的途径。

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为探讨在宁南山区推广保护性耕作技术的可行性,2005~2006年在宁夏彭阳县就垄沟、传统、覆膜3种不同的耕作方式的适应性进行试验研究,对比分析了3种耕作方式下冬小麦的生长状况、产量及农田土壤含水量变化的关系。结果表明:覆膜耕作可增加土壤蓄水保墒性能,提高水分利用效率,增产增效明显。对三种耕作方式下作物产量进行分析,覆膜耕作比传统耕作增产46%;垄沟耕作比传统耕作减产71%。覆膜耕作水分利用效率比传统耕作提高了33%;垄沟耕作由于在越冬期垄上冬小麦大面积冻死,不适宜在宁南山区推广。

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The retention factors (k) of 104 hydrophobic organic chemicals (HOCs) were measured in soil column chromatography (SCC) over columns filled with three naturally occurring reference soils and eluted with Milli-Q water. A novel method for the estimation of soil organic partition coefficient (K-oc) was developed based on correlations with k in soil/water systems. Strong log K-oc versus log k correlations (r>0.96) were found. The estimated K-oc values were in accordance with the literature values with a maximum deviation of less than 0.4 log units. All estimated K-oc values from three soils were consistent with each other. The SCC approach is promising for fast screening of a large number of chemicals in their environmental applications. (C) 2002 Elsevier Science B.V. All rights reserved.

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Saprolite is the residual soil resulted from completely weathered or highly weathered granite and with corestones of parent rock. It is widely distributed in Hong Kong. Slope instability usually happens in this layer of residual soil and thus it is very important to study the engineering geological properties of Saprolite. Due to the relic granitic texture, the deformation and strength characteristics of Saprolite are very different from normal residual soils. In order to investigate the effects of the special microstructure on soil deformation and strength, a series of physical, chemical and mechanical tests were conducted on Saprolite at Kowloon, Hong Kong. The tests include chemical analysis, particle size analysis, mineral composition analysis, mercury injection, consolidation test, direct shear test, triaxial shear test, optical analysis, SEM & TEM analysis, and triaxial shear tests under real-time CT monitoring.Based on the testing results, intensity and degree of weathering were classified, factors affecting and controlling the deformation and strength of Saprolite were identified, and the interaction between those factors were analyzed.The major parameters describing soil microstructure were introduced mainly based on optical thin section analysis results. These parameters are of importance and physical meaning to describe particle shape, particle size distribution (PSD), and for numerical modeling of soil microstructure. A few parameters to depict particle geometry were proposed or improved. These parameters can be used to regenerate the particle shape and its distribution. Fractal dimension of particle shape was proposed to describe irregularity of particle shapes and capacity of space filling quantitatively. And the effect of fractal dimension of particle shape on soil strength was analyzed. At the same time, structural coefficient - a combined parameter which can quantify the overall microstructure of rock or soil was introduced to study Saprolite and the results are very positive. The study emphasized on the fractal characteristics of PSD and pore structure by applying fractal theory and method. With the results from thin section analysis and mercury injection, it was shown that at least two fractal dimensions Dfl(DB) and Df2 (Dw), exist for both PSD and pore structure. The reasons and physical meanings behind multi-fractal dimensions were analyzed. The fractal dimensions were used to calculate the formation depth and weathering rate of granite at Kowloon. As practical applications, correlations and mathematical models for fractal dimensions and engineering properties of soil were established. The correlation between fractal dimensions and mechanical properties of soil shows that the internal friction angle is mainly governed by Dfl 9 corresponding to coarse grain components, while the cohesion depends on Df2 , corresponding to fine grain components. The correlations between the fractal dimension, friction angle and cohesion are positive linear.Fractal models of PSD and pore size distribution were derived theoretically. Fragmentation mechanism of grains was also analyzed from the viewpoint of fractal. A simple function was derived to define the theoretical relationship between the water characteristic curve (WCC) and fractal dimension, based on a number of classical WCC models. This relationship provides a new analytical tool and research method for hydraulic properties in porous media and solute transportation. It also endues fractal dimensions with new physical meanings and facilitates applications of fractal dimensions in water retention characteristics, ground water movement, and environmental engineering.Based on the conclusions from the fractal characteristics of Saprolite, size effect on strength was expressed by fractal dimension. This function is in complete agreement with classical Weibull model and a simple function was derived to represent the relationship between them.In this thesis, the phenomenon of multi-fractal dimensions was theoretically analyzed and verified with WCC and saprolite PSD results, it was then concluded that multi-fractal can describe the characteristics of one object more accurately, compared to single fractal dimension. The multi-fractal of saprolite reflects its structural heterogeneity and changeable stress environment during the evolution history.

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由温室气体的大量排放引起的全球环境变化不仅导致了温度的升高和降水格局的变化,亦引起了干旱等极端气候事件的频繁发生。研究羊草光合参数对水分胁迫及复水的响应,可以增进全球变化对植物光合作用和陆地生态系统影响的理解,揭示羊草光合参数对水分胁迫及复水的响应机理,为发展植物光合参数对水热变化的响应模型提供参数与依据。基于温室模拟试验和野外观测实验,采用Li-6400R便携式光合作用系统(Li-cor, Lincoln, NE, USA)测定了羊草(Leymus chinensis)叶片A/Ci曲线(净光合速率A和胞间CO2浓度Ci的关系曲线),获取了羊草叶片的光合参数Vcmax(Rubisco的最大羧化速率)、Jmax(最大光合电子传递速率)和TPU(磷酸丙糖利用率),分析研究了羊草叶片光合参数Vcmax(Rubisco的最大羧化速率)、Jmax(最大光合电子传递速率)和TPU(磷酸丙糖利用率)对干旱与复水的响应机理。结果表明,无论是模拟实验还是野外观测均显示羊草叶片的光合参数随着土壤水分的增加呈抛物线曲线变化,但各光合参数最大值对土壤水分的响应不同。温室模拟下的羊草光合参数Vcmax,Jmax和TPU在土壤含水量分别在15.56%,15.89%和16.23%时达到最大,而野外观测羊草的光合参数Vcmax,Jmax和TPU在土壤含水量分别为16.89%,17%和16.79%时达到最大。复水后羊草植株叶片光合参数的变化取决于前期干旱的影响,土壤含水量18%~19%和15%~16%处理的羊草复水后光合参数能够恢复正常,前者甚至超过正常水平,说明适宜的水分胁迫在复水后能够提高羊草叶片的光合能力,促进光合作用;土壤含水量10%~12%和7%~9%处理下的羊草复水后光合参数则不能恢复到正常水平。土壤含水量15%~16%可能是羊草光合能力在水分胁迫后能否恢复的阈值。

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Water solubility enhancements of six phthalates (five aliphatic phthalates and one phenyl phthalate) by cetyltrimethylammonium bromide (CTAB) and beta-cyclodextrin (beta-CD) were studied at 25 degreesC. The solubilities of these plithalates are remarkably enhanced by CTAB solutions above the critical micelle concentration (cmc). Only marginal enhancement of phthalate solubility was observed in solutions containing CTAB below its cmc and beta-CD at low concentrations (less than 5 mM). The solubility enhancements of the plithalates are proportional to the added amount of CTAB and beta-CD. Partition coefficients of the plithalates between monomeric CTAB surfactant and water (K-MN) and between CTAB micelle and water K-MC) were estimated from the experimental data. The mechanisms of solubility enhancements by CTAB and beta-CD were discussed. A log-linear equation was proposed and evaluated for the solubilization by CTAB below cmc, while the previously proposed linear partitioning model was questioned. The structures of the complexes formed between plithalates and beta-CD were proposed, and the formation constants were estimated. The values of log K-MC, log K-MN, and log Kbeta-CD of the plithalates were found to correlate linearly with the log K-OW of plithalates, with the exception of the solid phenyl phthalate.

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黄土高原(土娄)土在《中国土壤系统分类(修订方案)》中属土垫旱耕人为土类的相应亚类,其土壤水分状况是诊断表层所属人为表层类堆垫表层(覆盖层)和诊断表下层(黏化层)的重要诊断特征。以土壤持水性能、蒸发性能和水分移动性能为切入点,对(土娄)土覆盖层和黏化层的土壤水文效应进行研究论证,以期对土垫旱耕人为土类及其亚类的诊断层与诊断特征获取更深层的认识。