Assessment and ranking flood events in a regulated river using information and complexity measures
Assessment and ranking flood events in a regulated river using information and complexity measures
复制标题
使用信息和复杂性措施对受管制河流中的洪水事件进行评估和排名
DOI：
10.1088/1742-6596/2090/1/012169
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Xiao Cong
中科院分区：
文献类型：
--
作者：
Sawaf Mohamad Basel Al;Kawanisi Kiyosi;Xiao Cong
一个强大的方法，描述洪水事件的隐藏功能，在整治河流的可用性是非常重要的。本研究的主要目标是利用一些信息和复杂性的措施，以评估和排序的洪水模式在一个受管制的河流系统。为了实现这一目标，采用度量熵（ME）作为信息内容的度量，采用雷尼复杂性（CR）作为复杂性内容的量化。为了验证河道整治对防洪风险控制的作用，本研究考虑了位于两个不同大坝下游的两个监测站的水位记录。研究结果表明，信息和复杂性度量提供了嵌入在数据集中的随机性和研究的数据记录中存在的内部模式的图像。总的来说，这项研究表明，自然环境风险和灾害可以评估和排名使用一个有前途的物理方案的基础上的信息和复杂性的措施。
The availability of a robust approach that describe the hidden features of flood events in regulated rivers is of great importance. The key goal of this research is to utilize some of information and complexity measures to assess and rank flood patterns within a regulated river system. To meet this goal, the Metric Entropy (ME) as measure of information content and Rényi Complexity (CR) as a quantification for complexity content were employed. To examine the role of river regulation on flood risk control, river stage records of two monitoring stations located at downstream of two different dams were considered in this research. The findings show that information and complexity metrics offer an image of the randomness embedded in dataset and the presence of internal patterns in studied data records. In general, this research shows that natural environmental risks and disasters can be assessed and ranked using a promising physical scheme based on information and complexity measures.
影响因子：
7.1
作者：
Hein, Walter;Wilson, Clevo;Managi, Shunsuke
通讯作者：
Managi, Shunsuke
影响因子：
3.1
作者：
Hauhs, Michael;Lange, Holger
通讯作者：
Lange, Holger
利用信息和复杂性措施评估山区河流径流模式和洪水事件
影响因子：
6.4
作者：
Mohamad Basel Al Sawaf;K. Kawanisi
通讯作者：
K. Kawanisi