Water Conservation

Smart City – Internet of Water -Water Conservation Narrative

On a region-wide basis, the Rio Grande (M) Region does not have enough water supplies to meet demands through 2070, with the vast majority of deficits occurring in the irrigation category. Water Systems throughout are seeking out ways to use their big data warehouses to find optimizations, operational efficiencies and correlations to improve their overall performance. Machine learning is put in a few words, a mathematical approach to encoding software algorithms to learn models from data. These models can lead to pattern recognition, determine inferences and generate predictive forecasts to conserve water efficiently.

Need

The Rio Grande Valley (Region M) is running out of water .

Texas map water supply by region.

On a region-wide basis the Rio Grande (M) Regions does not have enough water supplies to meet demands through 2070, with the vast majority of deficits occurring in the irrigation category.

In the event of drought, Region M is projected to have a total water supply need of 717,000 acre-feet in 2020, increasing to 797,00 acre-feet by 2070.

Statistical data show below: 

Maps and Statistics provided by The Texas Water Development Board


Problem

Water Systems throughout are seeking out ways to use their big data ware houses to find optimizations to improve the rapid deterioration of their physical infrastructure, along with increase in demand due to population growth.

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Pipe Leakage
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Pipe Burst
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Water Resource
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Water Energy
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Water Conservation
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Water Scarcity
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Fragmented Data

Most water systems have a solid distributed sensor network for monitoring the utility operation. That being said, it is not a common outcome that the big data generated by the iOT deployments existing in the water districts is being utilized due to a lack of “consolidation”. The vast majority of the data is “distributed” across several data repositories. That means fragmented data, or as others call it “mixed’ bag of systems”.


Solution

Machine learning is put in few words, a mathematical approach to encoding software algorithms to learn models from data. These models can lead to pattern recognition, determine inferences and generate predictive forecasts.

Integrating data from multiple systems.  Real-time monitoring and alerts help quickly identify water leaks. Visualization tools and web parts provide role-specific data views for engineers, operators and customers.

More Information can be found below:

all information provided below by the Texas water development board

Best Management Practice

Water Conservation

A tool for planning and designing effective water conservation programs …….READ MORE


Agricultural Water Users

Proven effective practices that are economical for conserving water….. READ MORE


Commercial/Institutional

Texas Institutions, and the economy necessary services to make the economy work.. READ MORE 


Data Analysis


Educational Posts

Community water effort.

Education is the first step on water conservation. We all -adults and children need to be aware on the current situation and how to act to mitigate or water supply issue.

Interactive resources for the community provided below:


Relevant GIS Data

Region M map Area Nation Geographic View
https://www2.twdb.texas.gov/apps/waterserviceboundaries

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