Seven Techniques that you will learn when you enrol forMTech in Hydroinformatics Engineering

Hydro informatics is the study of the application of data science and information technology to the development of water resources. The Master's program is a two-year interdisciplinary degree that accepts applications from Civil, Electrical, Mechanical, and other disciplines. Admission is available via CCMT 2023 and DASA 2023.

After completing the course, you will have learned the following techniques:

Techniques for Multi-Criteria Decision Making such as AHP, ANP, ELECTRE, PROMETHEE, and others.

River Surveyor, Micro ADV, and Multi-Parameter Water Quality Sensor are examples of water-related instruments.

Algorithms Based on Decision Trees

Image Processing and Geographical Information System

Optimization Methods, including Bio-Inspired Optimisation Methods

Polynomial Neural Networks are a type of Artificial Neural Network (ANN).

The Internet of Things (IoT)

and their applications in the development of water resources.

The program also includes a one-year real-world project opportunity.

Five open source free hydrologic models that you can use to model runoff of micro to macro watersheds

The principal objective of hydrologic models is to forecast the runoff of a surface water body, especially dendritic systems like rivers, streams, etc. The inputs to these models are generally Rainfall/Precipitation, Soil Characteristics, and other Climatic parameters like evapotranspiration, humidity, etc. LULC and geo-morphology are also used as the required input parameters of the hydrologic models. Both input and output of these models are temporally as well as spatially variable. Now the resolution varies with different models. Some models consider all the sub-basins to be a single watershed and determine the output based on the characteristics of this single watershed(lumped).In contrast, some other models will consider the {impact|effect} of each of the sub-basins on the central outflow of the watershed(distributed).In a few models, the entire watershed is divided into grids or units of uniform dimension. However, the accuracy is highest for the models, which considers the {impa...

Five new patents that has the capbility to change the future of water resource development

A complex web of extreme events, such as devastating floods in some areas and severe water scarcity in others, are increasingly characterizing the global water crisis. This situation is made worse by the sneaky contamination of water sources with "forever chemicals" that do not decompose in the environment. A complex issue necessitating immediate action to guarantee access to clean, safe water for all populations is created by this pollution and the considerable water loss that occurs during delivery to customers as a result of aging infrastructure. Climate change is causing an increase in extreme events like floods and droughts, leading to unpredictable water availability. Water scarcity is also increasing, especially in areas with high population density and agricultural demands. Persistent organic pollutants like PFAS are contaminating water supplies, posing health risks due to their non-biodegradability. Inefficient infrastructure and leaky pipes contribute to significant...

Five new ideas for starting a business in Hydro informatics

The popularity of AI, ML, and other data science technologies encouraged many aspiring entrepreneurs to launch businesses in these fields. Startups can prosper when combined with water and data science. There are five new examples : Start-Up Idea 1 Portable Water Quality Indicating Meters Start-Up Idea 2 Reliability Indicator of Water Filters Start-Up Idea 3 Blue and Grey Water Monitoring Device Start-Up Idea 4 Remote Monitoring of Water Use Start-Up Idea 5 Virtual Water and Water Footprint Calculator The ideas are explained in detail at : https://hydrogeek.substack.com/ Thanking you, @Mrinmoy's Page @courses_hydrology , @Merchandise or @ @products_sustainability Add to Listy