Skip to main content

Five Most Promissing Topics of Research in Hydrology







Hydrology is a very old subject still; a lot of scopes are left in this subject which is hitherto unearthed. Below is the list of the five most promising topics of research that have steadily gained their presence in hydrology-related publications, in the last five years.

List of Most Promising Topics

◼ Building-induced rainfall redistribution(BIRR) 
◼ Rainfall nowcasting 
◼ Applications of Unmanned Aerial Systems (UASs) in Hydrology 
◼ Post-fire hydrology in forest 
◼ Baseflow Signature Predictions
 
Building-induced rainfall redistribution(BIRR) 
Microtopography due to the building roofs and rainfall redistribution due to the same has significant effect on urban hydrology and as a result, it also influences the accuracy of flood forecasting models.

Rainfall nowcast 
Very Short Term ( 2 or less than 2-hour lead time) Rainfall forecasts (nowcasts) are useful in operational flood forecasting and the model which predict such storm is known as Rainfall Nowcasting models. Due to the high amount of variability development of accurate nowcast models are a challenging task. 



Dr.Mrinmoy Majumder,
My ResearchGate Id : Mrinmoy_Majumder
Author of: Lecture Notes on MCDM

Popular posts from this blog

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...