About the Study Group
The Data-Driven Solutions for Water Management in Smart Cities study group focuses on utilizing cutting-edge technologies to address water-related challenges faced by rapidly growing urban populations. The group aims to develop and apply innovative data-driven methodologies for efficient and sustainable water management.
Project Objectives
- Integrating IoT devices for comprehensive real-time monitoring of water resources.
- Employing advanced data analytics and machine learning techniques to predict water demand, detect leaks, and manage water quality.
- Exploring policy frameworks and sustainable practices to enhance urban resilience to water-related challenges.
Main Areas of Study
- Smart Water Management Introduction: Fundamentals of smart urban water infrastructures.
- IoT and Real-Time Monitoring: Application of IoT sensors for monitoring water usage, leakage, and quality.
- Data Analytics and Machine Learning: Techniques for analyzing real-time water data and predictive modeling.
- Sustainable Practices and Policy Implications: Strategies to incorporate innovative solutions into actionable urban water policies.
Group Lead
Ulrike Gayh
Head of Water Technology Master Program,
SRH Hochschule Heidelberg
Email: ulrike.gayh@srh.de
Join the Group
If you're interested in contributing or learning more about sustainable urban water management through smart data-driven solutions, please contact Ulrike for more details.