Skip to main content

Seven Methods of Hydrological Risk Analysis



Coming Soon at HydroGeek
Hydrological risk analysis with soft computation is a systematic evaluation of potential risks associated with water-related hazards, crucial for effective disaster management and resource allocation.

Soft computation techniques on the other hand refer to a set of computational methods that are inspired by the human brain's ability to process information in a flexible and adaptive manner. Unlike traditional computation techniques that rely heavily on precise mathematical models and algorithms, soft computation techniques utilize approximate reasoning, uncertainty handling, and learning from examples to solve complex problems. These techniques are particularly useful in dealing with real-world problems that involve imprecision, ambiguity, and incomplete information. 

This article depicts seven of the most used or preferred soft computation techniques for analyzing hydrologic risk or uncertainty analysis methods (UAM).

You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition 2023.1 https://notionpress.com/read/hydro-geek-newsletter-edition-2023-1 Introduction to Model Development for Prediction, Simulation, and Optimization. https://imojo.in/1DJDUzm
Labels:

Popular posts from this blog

Five most significant findings of the week related to water resources

"Sediment cores taken from the Southern Ocean dating back 23 million years are providing insight into how ancient methane escaping from the seafloor could have led to regional or global climate and environmental changes, according to a new study." Click here "Scientists analyzing one of the largest genomic datasets of plants have discovered how the first plants on Earth evolved the mechanisms used to control water and 'breathe' on land hundreds of millions of years ago. The study has important implications in understanding how to plant water transport systems have evolved and how these might adapt in the future in response to climate change." Click here "A new analysis of the River Ganges in West Bengal, India, highlights how wastewater flowing into the river impacts its water quality, and how that influences shifts with seasons and tides." Click here "MIT researchers have developed a solar-powered desalination system that is more efficient an
Read more

Five free statistics software that you can use in Water Resource Research

Statistics is an essential part of water resource research. But presently all the popular statistical software is expensive and for a student or individual researcher, it is nearly impossible to procure such software. For example, the cost of the most popular statistical software is as given below : Statista ($59 per month,billed annually) Sigma XL : $299.00 USD(Single Licence) IBM SPSS Statistics ($99 per user per month) JMP : $1200 Minitab : $1610.00 USD(Single User Annual Subscription) There are many other paid software programs that offer various statistical analyses, such as Origin Pro and Stata, but their prices vary depending on location, number of users, and other factors. That is why they ask you to request a quote, and upon receipt of your request, they will provide you with a quotation based on your specific requirement. An individual researcher, on the other hand, cannot afford such a high price. As a result, we must rely on grants or institutes to obtain this software.
Read more

Seven Most Tenable Application of Artificial Intelligence on Water Resource Management Problems

AI or Artificial Intelligence is a pioneering technique that has enabled the creation of intelligent machines. or smart machines which have the power to self adapt based on the situation presented to them. It requires situations whose response is known and based on this training data set it learns the problems which it has to solve when it is ready. Due to the alarming success with AI in robotics, electronics, etc fields the same technique is now used to solve the problems of water resource management. This ppt shows the seven most notable use of AI in water resources-based problems where satisfactory improvement has encouraged the further application of the technique. View the Presentation Dr.Mrinmoy Majumder, My ResearchGate Id : Mrinmoy_Majumder Home Page: http://www.mrinmoymajumder.com   Author of: Lecture Notes on MCDM Indian Link  ; Global Link :
Read more