Latest Updates from the Water Resources and Informatics

Predictive data models can assist farmers in managing the effects of weather
Call for Paper: International Journal of Hydro-Climatic Engineering
Frogs, Birds, Insects, and Snakes act as messengers of Monsoon
Streamgages from the United States Geological Survey provide vital information to the public and decision-makers for a variety of purposes.
In seven out of eight crucial areas, research shows that Earth's health is failing.
How to draw a Contour Map with the help of Surfer Software?
Five New Ideas of Start-Up under the Hydroinformatics Field
Five innovative applications of Hydroinformatics in Groundwater Management
The National Institute of Urban Affairs (NIUA) is hiring
Five Example Applications of hydroinformatics in Agriculture
CadreFow and Pipe Flow can replace OpenFlows WaterCAD Pipe Network Analysis
Short Tutorial on "GMDH in optimization problems"
Five Most Recent Research Works on Autocorrelation in Water Resource Management
Very Short Term Course on "Application of Analytical Hierarchy Process in Water Resource Management"
How to Use Genetic Algorithm in Water Resource-Based Optimization Problems?
Spotlight on hydro informatics: The lesser-known force shaping the future of water
The majority of people are 'psychologically close' to climate change.
"Oxygen concentration varies drastically from one river to another, depending on their unique temperature"
"Over 90% of disasters and climate-related impacts are water-related, which can have a profound effect on economies and societies."
Five Codefree Neural Network Software for Water Resource Applications
The rising sea has stolen clean drinking water from Kerala Village
"Almost half of Odisha is exposed to the vulnerability of climate change."

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Free Ecourse on MCDM Techniques

1) ELECTRE : ELIMINATION AND CHOICE TRANSLATING REALITY 2)FMAE : FAILURE MODE EFFECTS ANALYSIS 3)MAUT : MULTI ATTRIBUTE UTILITY THEORY 4&5)PROMETHEE : PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (One and Two) 6)RA : RELIABILITY ANALYSIS 7)WSM : WEIGHTED SUM METHOD 8)WPM : WEIGHTED PRODUCT METHOD 9)DELPHI Method All these are free video tutorials. For case studies and project ideas please upgrade to Paid Member. Click here to procure in INR: Other than INR : Click here 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...

Master TOPSIS to operationalise multi-criteria trade‑offs using distance‑to‑ideal reasoning and transparent rankings.

1.TOPSIS is best described as A single-objective optimization method for continuous design variables A compensatory MCDM method for ranking finite alternatives across multiple criteria A simulation technique for stochastic hydrologic models A clustering algorithm for grouping similar alternatives 2.In TOPSIS, the Positive Ideal Solution (PIS) represents The alternative with the smallest Euclidean norm in the decision space A hypothetical alternative with the best performance on every criterion The real alternative that appears first in the decision matrix The average of all alternatives over all criteria 3.The Negative Ideal Solution (NIS) in TOPSIS is The worst-performing actual alternative in the dataset A hypothetical alternative with the worst value of each criterion The alternative with the largest index in the matrix The alternative that violates the most constraints 4.For benefit-type criteria (to be maximized), the PIS component is taken as The minimum observed val...

What will the future of AI and ML modeling of water resource development look like?

AI & ML modeling application is now widespread in water resource development studies. But due to the uncertainty in water parameters, much more innovation is required for their practical applications In recent years like all the other fields of studies, the application of Artificial Intelligence and Machine Learning (AI&ML) on water resource development projects has increased manifold. For example : Sukanya, S., and Sabu Joseph. " Climate change impacts on water resources: An overview ." Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (2023): 55-76. Kommadi, Bhagvan. " AI and ML Applications: 5G and 6G ." (2023). Joseph, Kiran, Ashok K. Sharma, Rudi van Staden, P. L. P. Wasantha, Jason Cotton, and Sharna Small. " Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review ." Water 15, no. 11 (2023): 2046. Yurtsever, Mustafa, and E. M...