School of Hydro-Informatics Engineering,NIT Agartala

03/09/2026

Call for Papers
Special Issue: Impact of Climate Change on Virtual and Green Water in Arid Watersheds
The International Journal of Hydro Climatic Engineering invites original research articles, critical reviews, technical notes, and case studies for a forthcoming Special Issue on “Impact of Climate Change on Virtual and Green Water in Arid Watersheds.”
Arid and semi-arid watersheds are particularly vulnerable to climate-driven shifts in precipitation, evapotranspiration, drought frequency, land-use dynamics, groundwater dependence, and agricultural water demand. These changes directly affect green water—the soil moisture available for vegetation and rain-fed production—and virtual water—the water embedded in agricultural, industrial, and traded products.
Understanding the interconnected roles of climate variability, watershed processes, food production, trade, and water allocation is essential for strengthening water, food, energy, and ecosystem security in water-limited regions. This Special Issue seeks to advance interdisciplinary research, modelling approaches, decision-support tools, and policy perspectives that can support climate-resilient management of arid watersheds.
Click here to submit your Manuscript
tinyurl.com/ycn3evhs
Topics of Interest
Submissions may address, but are not limited to, the following themes:
Climate-change impacts on green-water availability, soil moisture, and rain-fed agriculture
Virtual-water flows, trade, accounting, and water-footprint assessment
Climate-driven changes in evapotranspiration, crop water requirements, and irrigation demand
Drought assessment, propagation, monitoring, and early-warning systems in arid basins
Hydrological and crop-modelling applications under future climate scenarios
Remote sensing and GIS-based assessment of green water, blue water, and virtual-water dynamics
Groundwater–surface-water interactions under changing climatic and land-use conditions
Water–food–energy–ecosystem nexus in dryland and water-scarce regions
Climate-resilient agricultural practices, deficit irrigation, and soil-moisture conservation
Effects of land-use/land-cover change on watershed water balance and ecosystem services
Virtual-water trade as an adaptation strategy for water-scarce regions
Water allocation, governance, and policy instruments for climate adaptation
Machine learning, artificial intelligence, digital twins, and decision-support systems for arid-watershed management
Uncertainty analysis, downscaling, bias correction, and ensemble climate-impact assessment
Indigenous knowledge, community adaptation, and socio-hydrological perspectives on water scarcity
Click here to submit your Manuscript
tinyurl.com/ycn3evhs
Manuscript Types
The Special Issue welcomes:
Original research articles
Review articles
Short communications and technical notes
Data papers and methodological studies
Policy and perspective papers with a strong scientific basis
Regional and comparative case studies from arid and semi-arid watersheds worldwide
Submission Information
Authors should prepare manuscripts in accordance with the journal’s author guidelines and submit through the International Journal of Hydro Climatic Engineering online submission system. During submission, please select or mention the Special Issue title:
“Impact of Climate Change on Virtual and Green Water in Arid Watersheds.”
All submitted manuscripts will undergo the journal’s standard peer-review process. Acceptance will be based on scientific quality, originality, relevance to the Special Issue, and clarity of presentation.
Click here to submit your Manuscript
tinyurl.com/ycn3evhs See less

02/09/2026

Upgrade Your Technical Skills With Baipatra VSC Email Courses

Dear Student or Professional,

Technical skills in data science, GIS, remote sensing, artificial intelligence, modelling, and decision analysis are becoming increasingly valuable in research, engineering, environmental management, and water-resources practice.

Baipatra VSC invites you to develop these skills through its focused 12-part email course series.

Available learning topics include:

Multi-Criteria Decision-Making for planning and evaluation

Data Science for data-driven problem-solving

Computational Fluid Dynamics for flow and engineering simulation

GIS and Remote Sensing for spatial analysis and mapping

Artificial Neural Networks for predictive modelling

Additional HydroInformatics learning modules

Each course is designed to be practical, accessible, and suitable for self-paced learning. You will receive 12 lessons by email, allowing you to develop knowledge steadily without disrupting your regular study or work schedule.

Invest in skills that can strengthen your profile, research capacity, and future opportunities.

Click here to join : https://dodo.pe/arkoqv6dl2

Dr.Mrinmoy Majumder
Associate Professor
FIC,Hydroinformatics Lab
NIT Agartala,Tripura,India
mrinmoy.majumdar.info

27/08/2026

Struggling to connect hydrology theory with real problem-solving? This course walks you step by step through water budgets, rainfall estimation, runoff and flood analysis, hydrographs, and flood routing — the exact topics that appear in exams and fieldwork. With 100 objective questions covering concepts, applications, and tricky numericals, plus a complete explained answer key, you'll finish the course able to solve problems confidently, not just recall definitions.

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25/08/2026

The Full Tutorial on the Cat Swarm Optimisation Algorithm and 24 other bio-inspired optimisation techniques can be accessed at: https://dodo.pe/a1co7twykfk

22/08/2026

Dear Reader,

Are you interested in learning how nature-inspired processes can be used to solve complex engineering, scientific, and decision-making problems related to water resource development and management?

You are invited to enroll in the e-course Bio-Inspired Optimization Techniques(BIOT), a practical and concept-focused course designed for students, researchers, academics, and professionals working with optimization, artificial intelligence, modelling, data analysis, and hydroinformatics.

Join the Course : https://dodo.pe/sehmnb4mz2

This course is also included in The Hydroinformatics Bundle, offering an opportunity to build broader skills in computational methods and their applications to water-resources and environmental problems.

What you will learn
The course introduces major bio-inspired and swarm-intelligence optimization methods, alongside neural-network-based optimization approaches. The modules include:

Genetic Algorithm

Artificial Neural Networks

Polynomial Neural Networks

Training Algorithms

Quasi-Newton Algorithms

Levenberg–Marquardt Algorithm

Conjugate Gradient Descent

Newton’s Method

GMDH Shell for Neural Optimization

Glowworm Optimization Algorithm — Parts 1 and 2

Particle Swarm Optimization

Mine Blast Algorithm

Water Cycle Algorithm

Cuckoo Search Algorithm

Dolphin Echolocation Algorithm

Fish Swarm Optimization Technique

Firefly Optimization Technique

Invasive W**d Optimization Technique

Albatross Wind Shear Algorithm

Cat Swarm Optimization Techniques

Moth-Flame Optimization Techniques

Ant Colony Optimization

Galactic Swarm Optimization

Hummingbird Optimization Algorithm — Parts I and II

Grey Wolf Optimization

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Who should join
This e-course is particularly suitable for:

Undergraduate and postgraduate students in engineering, environmental science, computer science, and related disciplines

Researchers seeking to apply advanced optimization techniques in modelling and analysis

Faculty members and professionals interested in artificial intelligence and computational intelligence

Water-resources and environmental professionals exploring hydroinformatics applications

Whether your objective is to optimize a model, calibrate parameters, improve decision-making, or explore artificial-intelligence methods, this course will provide a structured introduction to a diverse range of powerful algorithms.

Enroll in Bio-Inspired Optimization Techniques today, or access it as part of The Hydroinformatics Bundle, and begin expanding your computational problem-solving toolkit.

Warm regards,
Dr.Mrinmoy Majumder
Associate Professor,Hydroinformatics Lab,NIT Agartala,India
Course Link :

BIOT : https://dodo.pe/sehmnb4mz2

The Hydroinformatics Bundle : https://dodo.pe/98u92sc51a9
Email: contact.at.baipatra.ws

Complete your checkout with Baipatra

08/08/2026

Make smarter, more transparent decisions with our 10-Part E-Course on TOPSIS MCDM Techniques. This practical programme takes you from the fundamentals of Multi-Criteria Decision Making to the complete TOPSIS procedure, including decision-matrix development, normalization, criteria weighting, ideal and negative-ideal solutions, separation measures, and final ranking of alternatives.

Each lesson uses real-life case studies to show how TOPSIS can support choices in engineering, water-resource management, environmental planning, business, and research. Whether you are an MTech student, PhD scholar, researcher, or working professional, this course will help you confidently analyse multiple conflicting criteria and justify your final decision with a structured scientific approach.

Ready to turn complex choices into clear rankings? Join the TOPSIS MCDM E-Course today and begin learning through practical, real-world case studies

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How to apply TOPSIS MCDM Technique?

26/07/2026

Why Emil Julius Gumbel’s Statistics of Extremes still matters today

This classic book is far more than a statistics text. It laid important foundations for understanding rare and extreme events — the kind that matter most in flood risk, climate change, infrastructure design, and environmental planning.

For those working in water resources, hydroinformatics, and climate studies, its relevance is especially strong. Extreme value theory helps us estimate unusual but high-impact events like intense rainfall, heatwaves, and floods, which are becoming increasingly important in a changing climate.

A timeless book for anyone interested in the science of extremes, risk, and uncertainty.



Click here to learn more : https://open.substack.com/pub/hydrogeek/p/statistics-of-extremes-1958?r=c8bxy&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

21/07/2026

The book’s strongest point is its practical orientation: it combines theory with case studies, which makes it useful for researchers, students, and professionals working on watershed management and climate-related risk.

It is especially valuable for readers interested in peri-urban watershed management, where climate change and urbanization make vulnerability assessment and mitigation increasingly important.

The scope also aligns well with modern water-resources practice because it connects analytical methods with real-world intervention planning rather than treating hydroinformatics as a purely technical exercise.

Overall, this looks like a strong reference for anyone working in water resources, hydroinformatics, and environmental resilience, especially those looking for an applied, interdisciplinary perspective.

Click below to access :

Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions is a comprehensive guide that explores the role of hydroinformatic

18/07/2026

Introducing the International Journal of Hydroclimatic Engineering (IJHE) – a dedicated platform for cutting‑edge research at the intersection of hydrology, climate science, and water resources engineering.

IJHE welcomes original research articles, reviews, and technical notes on topics such as hydroinformatics and data‑driven modelling, hydroclimatology, flood and drought risk assessment, climate change impacts on water systems, and decision support for sustainable water resources management.

If you are working on innovative methods, models, or applications related to hydroclimatic processes and engineering solutions, we invite you to submit your manuscript and contribute to this growing body of knowledge.

👉 Submit Your Manuscript: www.energyinstyle.website

Join us in shaping resilient, data‑driven, and climate‑aware water management for the future.

14/07/2026

Advance your expertise in digital water systems with NIT Agartala’s MTech in Hydroinformatics, open to both GATE and Non-GATE applicants. Go to the NIT Agartala admission site, follow the MTech application link, and submit your form with supporting documents.