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121.
122.
基于遥感信息的华北冬小麦区域生长模型及模拟研究 总被引:21,自引:1,他引:21
卫星遥感估产和作物生长模拟在作物监测和产量预测方面有各自不可替代的优势。但是,遥感估产难以揭示作物生长发育和产量形成的内在机理,作物模拟在区域应用时初始值的获取和参数的区域化遇到很多困难。如何利用二者的互补性使其相互结合受到人们关注。该文在Wofost模型本地化和区域化的基础上,首次利用同化法的思路探讨了MODIS遥感信息与华北冬小麦生长模拟模型结合的可行性和方法,初步建立了潜在生产水平(水分适宜条件)下区域遥感-作物模拟框架模型(WSPFRS模型)。模拟结果显示:WSPFRS模型对区域尺度的出苗期重新初始化后,模拟的开花期、成熟期空间分布的准确性比Wofost模拟结果有所改进;利用遥感信息对区域尺度上返青期生物量重新初始化后,模拟贮存器官干重的空间分布更接近实际单产的分布,贮存器官干重的高值区与实际高产区基本相符。该研究将为下一步实际水分供应条件下基于遥感信息的冬小麦区域生长模拟研究奠定了基础。 相似文献
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124.
长江三峡工程正常蓄水位为175m,在蓄水过程中随着库水位的抬升,必然会引起库岸边坡地下水渗流场的变化。运用3D-Modflow软件模拟了三峡工程的蓄水过程中奉节库段边坡岩土体内部地下水位的动态变化,为长江三峡工程奉节库区段移民迁建地质灾害预测与防治提供科学依据。 相似文献
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126.
原油在储层介质中的加水裂解生气模拟实验 总被引:5,自引:2,他引:5
采用高温高压热模拟实验方法,开展了原油在砂岩和火成岩储层介质中的加水裂解生气模拟实验研究.结果表明,原油开始大量裂解的温度是400℃,随模拟温度增加,甲烷相对含量增大,乙烷以上重烃气尤其是丙烷相对含量减小.其中砂岩的油水混合物裂解生气主要发生在450~500℃之间,生气窗范围小,对应的烃气产率高,火成岩的油水混合物裂解生气主要发生在450~600℃之间,生气窗范围大,对应的烃气产率小.模拟烃气的组分碳同位素分馏显著,随模拟温度增加呈变重趋势.在裂解生气过程中,水解加氢和催化作用对烃气的组成、产率和碳同位素分布有重要影响。 相似文献
127.
地下水数值计算中断层处理的"切割-导通法" 总被引:2,自引:0,他引:2
从对断层导水性能的分析出发 ,提出了地下水数值计算中断层处理的“切割—导通法” ,既考虑断层侧向导水性 ,又考虑了其垂向导水性 ,更符合断层导水的实际情况 ,也易于描述较大断裂在走向上的导水性差异。 相似文献
128.
A stochastic channel embedded in a background facies is conditioned to data observed at wells. The background facies is a fixed rectangular box. The model parameters consist of geometric parameters that describe the shape, size, and location of the channel, and permeability and porosity in the channel and nonchannel facies. We extend methodology previously developed to condition a stochastic channel to well-test pressure data, and well observations of the channel thickness and the depth of the top of the channel. The main objective of this work is to characterize the reduction in uncertainty in channel model parameters and predicted reservoir performance that can be achieved by conditioning to well-test pressure data at one or more wells. Multiple conditional realizations of the geometric parameters and rock properties are generated to evaluate the uncertainty in model parameters. The ensemble of predictions of reservoir performance generated from the suite of realizations provides a Monte Carlo estimate of the uncertainty in future performance predictions. In addition, we provide some insight on how prior variances, data measurement errors, and sensitivity coefficients interact to determine the reduction in model parameters obtained by conditioning to pressure data and examine the value of active and observation well data in resolving model parameters. 相似文献
129.
Lin Y. Hu 《Mathematical Geology》2002,34(8):953-963
Gradual deformation is a parameterization method that reduces considerably the unknown parameter space of stochastic models. This method can be used in an iterative optimization procedure for constraining stochastic simulations to data that are complex, nonanalytical functions of the simulated variables. This method is based on the fact that linear combinations of multi-Gaussian random functions remain multi-Gaussian random functions. During the past few years, we developed the gradual deformation method by combining independent realizations. This paper investigates another alternative: the combination of dependent realizations. One of our motivations for combining dependent realizations was to improve the numerical stability of the gradual deformation method. Because of limitations both in the size of simulation grids and in the precision of simulation algorithms, numerical realizations of a stochastic model are never perfectly independent. It was shown that the accumulation of very small dependence between realizations might result in significant structural drift from the initial stochastic model. From the combination of random functions whose covariance and cross-covariance are proportional to each other, we derived a new formulation of the gradual deformation method that can explicitly take into account the numerical dependence between realizations. This new formulation allows us to reduce the structural deterioration during the iterative optimization. The problem of combining dependent realizations also arises when deforming conditional realizations of a stochastic model. As opposed to the combination of independent realizations, combining conditional realizations avoids the additional conditioning step during the optimization process. However, this procedure is limited to global deformations with fixed structural parameters. 相似文献
130.
A new method for upscaling fine scale permeability fields to general quadrilateral-shaped coarse cells is presented. The procedure, referred to as the conforming scale up method, applies a triangle-based finite element technique, capable of accurately resolving both the coarse cell geometry and the subgrid heterogeneity, to the solution of the local fine scale problem. An appropriate averaging of this solution provides the equivalent permeability tensor for the coarse scale quadrilateral cell. The general level of accuracy of the technique is demonstrated through application to a number of flow problems. The real strength of the conforming scale up method is demonstrated when the method is applied in conjunction with a flow-based gridding technique. In this case, the approach is shown to provide results that are significantly more accurate than those obtained using standard techniques. 相似文献