Application of Data-Driven Modeling in Assessing the Effect of Influent Variability and Weather Changes on the Performance of Tororo Wastewater Stabilization Ponds
Water
Prototype
Description
Developed a machine learning predictive models that predicts the performance of a wastewater stabilisation points
Impact
Help in monitoring the effluent(water leaving the point) in a way that incase the effluent is not meeting the standard a maintenance activities are done,in doing this,the community relying on this streams are kept safe from waterborne diseases in which in along run money is saved
Target Audience
The local communities relying on differen streams in which this water from the lagoons are being released
Industrial Value Chains
Industry 4.0+ (smart manufacturing, digital, AI, IoT, robotics)
Partnerships
Individual
Innovation Details
Stage:
Prototype
Funding Status:
Self funded
Location:
Gulu district
Innovation Date:
July 1, 2024
Contact Information
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