The Flood Expo 2017
The Flood Expo is the world’s largest exhibition and conference designed to help the most progressive flood professionals and property owners discover the latest innovative products, services, and strategies that transform the way flooding is predicted, prevented, and managed.
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This year there is the greatest collection of expert speakers that the sector has ever seen before. NASA, UN Climate Change, the Met Office, the Environment Agency, the MOD and 100 other expert speakers representing some of the most influential organisation in the flood sector will take to the 9 stages across the two days. Each will deliver a CPD-accredited talk to the thousands of flood professionals that make the most of this landmark event in the industry’s history.
Baseform at 2017 North American Water Loss Conference
The California-Nevada Section, AWWA hosts the 2017 North American Water Loss Conference in cooperation with the Alliance for Water Efficiency and the NAWL 2017 Conference Planning Committee. Discussions will take place over two days on developing water loss policies, auditing your system, reducing apparent losses, controlling leakage, managing pressures, and documenting your progress, both for you and for your regulators.
Join Baseform in the exhibition area, to discuss with our experts your specific needs and try out our award-winning software for water & energy losses.
Faster response times: best-in-class event detection and notification of likely pipe breaks, leaks, water quality, sensor malfunction, network events; cross-validation with work orders.
Up to 90% of recovered volumes retrieved in near real-time: immediate ROI
Fewer false alarms: behavior-based detection significantly outperforms threshold-based SCADA alarms.
Up to 75% fewer false alarms
Automated water balance: input volumes, authorized consumption, metering errors, real losses (min. night flows + lost in events).
On-demand, any time
Water meter management: key volume metrics, metering errors, useful lives, replacement policies.
Reliable apparent losses quantification
Accurately estimated demand patterns: statistically calculated per zone, date, type of day, improving accuracy e.g., to simulation models.
Up to 80% better precision