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首页> 外文期刊>Current Journal of Applied Science and Technology >Study the Space –Time Variations of Indus River Flow Propagation
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Study the Space –Time Variations of Indus River Flow Propagation

机译:研究印度河水流传播的时空变化

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摘要

River flow is the most important geophysical process of the earth and its ecosystem. Being very unpredictable in nature, at several times its ensemble flow propagation along the network becomes hazardous flood, that causes enormous damage and loss. Pakistan is an agricultural country with one of the world’s largest Indus River system. The system undergoes great climatic, strong seasonal and inter-annual variability dominated by both monsoon and snow-glacier dynamics of the Himalayan and Karakoram regions. A better understanding of the variability may provide insight into the problems associated with unpredictable variations in river flow and their propagation. This paper is an attempt to enhance the current knowledge of the Indus River flow dynamics along the network. For this purpose linear and nonlinear methods of propagation analysis of the mean 10 daily river flow (TDF) are utilised. The linear and nonlinear schemes employ cross-correlation and the normalized average of cross-mutual information (MI) method respectively. The overall dominant mechanism of the system shows a linear behaviour, however, some stations demonstrate nonlinear propagation in the network. The results of these analyses may also provide the viability to study the behaviour of regional and global climatic parameters related to the type of information propagated.
机译:河流流量是地球及其生态系统最重要的地球物理过程。由于本质上是非常不可预测的,因此它在整个网络中的集成流传播有时会变成危险的洪水,从而造成巨大的破坏和损失。巴基斯坦是一个农业大国,拥有世界上最大的印度河系统之一。该系统经历了很大的气候,强烈的季节性和年际变化,主要由喜马拉雅和喀喇昆仑地区的季风和雪冰川动力学决定。对变率的更好理解可以提供对与河流流量及其传播的不可预测变化有关的问题的了解。本文旨在增强对沿网络的印度河水流动力学的了解。为此,使用线性和非线性传播方法来分析平均10条每日河流量(TDF)。线性和非线性方案分别使用互相关和互互信息(MI)方法的归一化平均值。系统的总体主导机制显示出线性行为,但是,某些站点显示了网络中的非线性传播。这些分析的结果也可能为研究与传播的信息类型有关的区域和全球气候参数的行为提供可行性。

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