英国论文格式-洪水系列模型

　　英国论文格式-洪水系列模型。近年来，洪水系列模型得到了广泛的关注。它从根本上包含了在仿真模型开发中有用的某些变量。洪水序列模型由发生时间、流量和洪水持续时间三部分组成。每天的流量流量都是通过每天的监测得出的。在这些情况下，强度函数映射可以用来捕获洪水发生率。本论文的目的不仅是呈现现有系统中所呈现的不同建模形式，而且是呈现为什么洪水建模具有社会意义。研究的原因和效用价值是不同的，在这种情况下，考虑的效用价值是社会和经济原因。洪水问题给人们带来了多方面的问题，因此有必要进行有组织的研究来进行预测。接下来论文范文英国论文格式-洪水系列模型分享给留学生阅读。

　　The purpose of the literature review is to not only present the different forms of modelling that has been presented in the existing systems, but also present why flood modelling has a social significance. Research studies are conducted with different reasons and utility values associated with it and this case, the utility value considered are social and economic reasons. The problems of flooding causes issues for the people in many dimensions and the need for structured study in order to forecast is of significance here.

　　Flood series modelling has been gaining prominence in the recent times. It fundamentally encompasses certain variables that have been useful in the development of the simulation models. The flood series modelling comprises of three components which include occurrence times, discharge volume and the third component being flood duration. The daily stream outflow is monitored on a daily basis to make these derivations. In these cases, intensity functioning mapping can be used to capture the flood occurrence rate. Non-homogeneous poisson process is utilized in this case (Cervantes et al, 1982). Least square method is used to measure the fitted equation that is used to estimate the intensity. In these cases, it has been found that the thinning method is useful. It has been derived to control the deletion of points in the poisson process. Marked point process is used in this procedure to link the flood duration and the discharge of volume. The modelling of this flow can be calculated with the exponential distribution that is fundamentally derived from the flood occurrence time. The three-component flood series simulation can be done more accurately by utilizing these calculations. It has been especially useful for deriving environmental protection against pollution and has been effective for the flood-control processes. These statistical calculation data comparisons have been generally found to be agreeable in many instances.

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