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

What is next in AI & ML Modeling of Water Resource Development?

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. E. Ç. Murat. "Potable Water Quality Prediction Using Artificial Intelligence and Machine Learning Algorithms for Better Sustainability." Ege Academic Review 23, no. 2 (2023): 265-278.

However, the uncertainty involved in Hydrologic/Hydraulic or Water Quality Parameters is very hard to simulate, and even with the advent of such cognitive algorithms accuracy and reliability of the models nevertheless lack substance. In this field of study, there is still much to be done. Some interesting objectives can be :

Click here to see the five interesting objectives in HydroGeek Newsletter.

You may also browse the following :

Very Short-Term Courses: How to use Surfer in Water Resources Development
Be Sustainable: How to Use WCI and ECI to save water and electricity use?
Create your own Video and manage it.
Become an Affiliate of other related books, courses, and products
Guest Posting to this newsletter
New but peer-reviewed journals
Become a Reviewer: Contact EIS
Learn about data science with simple examples
Evaluate the suitability of a journal with respect to your article
Host your own App
Read the book: Lecture Notes on MCDM
Preorder: GIS in One Page
Preorder: 50 Project Ideas on MCDM and GIS
For website owners

How to calculate Water Quality Index considering the source type,intended use and climate ?

This WQI's primary innovation is that it calculates the WQI based on the type of source from which water is collected, the WQI's intended use, and the local climate at the time the samples were retrieved. The source or location from where the sample is collected has an impact on the quality of water which the index must incorporate at the time of calculation. The purpose for which the water quality index is calculated changes the weightage of the importance of the different quality parameters. For example, if WQI is calculated for knowing how drinkable the sample is then the weightage of coliform will increase compared to other parameters as the presence of coliform in the drinking water can not be permitted. The climate of the area from where the water is collected is another criterion to consider at the time of calculating the WQI. Based on the climate also the weightage of water quality parameters will vary. There will be a difference in the weight of importance if the sampl...

Five Most Extreme Hydrologic Events that changed the World

Typhoon Tip, Philipines(Collected from : CSMonitor ) Devastating storms, severe flood, acute famine conditions, etc. hydrological events of extreme nature has changed human history. Any event which is not normal is known as an abnormal event. In the case of hydrology, an event that has a return period of more than 100 years is considered Extreme. According to Herring(2020) of Climate.gov, "An extreme event is a time and place in which weather, climate, or environmental conditions—such as temperature, precipitation, drought, or flooding—rank above a threshold value near the upper or lower ends of the range of historical measurements." Though the threshold is not objective, few researchers have defined "extreme events as those that occur in the highest or lowest 5% or 10% of historical measurements". Some have described events by their deviation from the mean, or by their occurrence interval. Here the most severe five extreme hydrologic events were discussed which ...

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...

Hydrology Newsletter

Search This Blog