Re: [Hydrology] Digest for hydrology@googlegroups.com - 1 update in 1 topic

[TI Eldho]

Dear Colleagues/ Friends,

We are happy to inform the publication of our new book  "An Introduction to Advanced Fluid
Dynamics and Fluvial Processes" by Prof. B.S. Mazumder and T.I. Eldho.

Details are below and the flyer is attached. 
Thanks.
Eldho

An Introduction to Advanced Fluid
Dynamics and Fluvial Processes
By B. S. Mazumder, T. I. Eldho
This book covers fluid dynamics and fluvial processes, including basics applicable to
open channel flow followed by turbulence characteristics related to the sediment-laden
flows. It presents well-balanced exposure of physical concepts, mathematical
treatments, validation of the models/theories, and experimentations using modern
electronic gadgets within the scope. In addition, it explores fluid motions, sediment fluid
interactions, erosion and scouring, sediment suspension and bed load
transportation, image processing for particle dynamics, and various problems of
applied fluid mechanics in natural sciences.

On Mon, Oct 16, 2023 at 9:34 PM <hydr...@googlegroups.com> wrote:

hydr...@googlegroups.com

Google Groups

Topic digest
View all topics

• Introduction to Auto and Cross Correlation Coefficients - 1 Update

Introduction to Auto and Cross Correlation Coefficients

kuttu80 <mmaju...@gmail.com>: Oct 15 09:46AM -0700 Definition and explanation of autocorrelation coefficient   The autocorrelation coefficient, also known as the lagged correlation coefficient, measures the linear relationship between a variable and its lagged values. It quantifies the degree to which a variable is correlated with itself over different time periods. By calculating the autocorrelation coefficient, we can gain insights into the presence of any temporal patterns or trends in the data. Definition and explanation of cross correlation coefficient   The cross-correlation coefficient, on the other hand, measures the linear relationship between two different variables at different time lags. It helps us understand the degree to which changes in one variable are associated with changes in another variable over time. By calculating the cross-correlation coefficient, we can identify any potential dependencies or relationships between the two variables and their lagged values. This information is useful in various fields such as signal processing, economics, and climate studies. Importance and relevance of correlation coefficients in various fields   The correlation coefficients play a crucial role in various fields as they provide insights into the strength and direction of relationships between variables. In signal processing, for example, correlation coefficients help determine the similarity between signals and are essential for tasks like pattern recognition and image matching. In economics, correlation coefficients aid in understanding the interdependencies between different economic indicators, allowing for better forecasting and decision-making. Similarly, in climate studies, correlation coefficients help identify connections between variables like temperature and precipitation, aiding in understanding climate patterns and predicting future weather conditions. By analyzing the correlation coefficients, scientists can observe how changes in temperature affect precipitation levels and vice versa. This knowledge is crucial for predicting droughts, floods, and other extreme weather events, enabling policymakers and communities to take necessary precautions and develop effective mitigation strategies. Overall, correlation coefficients play a vital role in various fields by revealing relationships and providing valuable insights for informed decision-making. Click here to see the complete tutorial : https://youtu.be/FW9fpey4Jx0

Back to top

You received this digest because you're subscribed to updates for this group. You can change your settings on the group membership page. To unsubscribe from this group and stop receiving emails from it send an email to hydrology+...@googlegroups.com.