Solution Brief
Predict and prepare for flooding incidents more efficiently with data and AI from SAS
Develop effective responses to flooding in a community using accurate real-time knowledge of flood water movements, digital twins, map coordinate overlays, and smart weather sensors with embedded AI and machine learning.
The issue
Floods are the most frequent and deadliest type of natural disaster. They can cause widespread devastation and chaos, resulting in loss of life, damages to personal property and lack of access to critical public health infrastructure. Floods cause more than $40 billion in damage each year around the world and are forecasted to affect 147 million people per year by 2030. Those numbers have grown exponentially in the last decade.
This rise in the number of floods is a consequence of multiple factors, including the increasing frequency of heavy precipitation and a rising concentration of population in flood-prone areas. Unfortunately, most local governments don’t have access to flood monitoring tools and, therefore, have inadequate flood planning and management practices. Since flooding risks will likely increase, this preparation method provides little reassurance and security.
The best way to improve response time and contain floodwaters is for emergency management teams to monitor waterways in real time. By doing this, they can predict the risk of flooding and alert the community before disaster strikes.
The challenge
Global floods are forecasted to affect 147 million people annually and create more than $700 billion in economic damage by 2030. Due to time and cost constraints, governments often neglect storm and flood preparation.
Lack of flood preparation
Local governments may not have access to technology to monitor storms and rising waters. By combining weather data, sensors that measure the height, depth, and flow of water bodies, and AI, local governments can know ahead of time which areas are most likely to be affected.
Inaccurate information and ineffective monitoring
Emergency management teams can’t fulfill their promise to keep communities safe when it’s impossible to foresee when and where flooding might happen. With improved forecasting, the teams can predict water levels and inundation for six hours into the future hourly.
Flood mapping difficulties
It is difficult to map flood damage each year and compare it with growth and development in the area. Using digital twins, local governments can test weather scenarios with geospatial characteristics that impact flooding to understand patterns and map the at-risk areas.
Use accurate historical flood data and current predictions to improve regional planning
Given the growing needs of citizens worldwide, digital is how to develop solutions more accurately and instantly. This partnership with SAS has helped Jakarta City Government serve its people better and further elevate the resilience of Jakarta residents." Yudhistira Nugraha Director, Jakarta Smart City
Our approach
Saving lives and protecting infrastructure with data and AI
Local governments need tools to predict floods to protect their citizens and infrastructure. It’s impossible to deliver on these promises without gathering information on flood areas and maintaining this data year after year. By capitalizing on data and AI solutions from SAS, they can better predict and prepare for flooding incidents.
Uncover the data that matters most
Quickly find and review weather, environmental, sensor and development data used for generating insights.
Forecast flood conditions
Using early-warning sensors and data visualization, municipalities can track data over time and build a database of insights, including storm magnitude and historical flood maps.
Build accurate data models.
Measurement and analysis of stream height in real time over a highly secure network allow for enhanced monitoring and prediction.
Monitor land planning
Take existing weather and flooding data and simulate the potential impact of land planning and development decisions on streams and floodplains.
Provide real-time tracking and alerts
Based on real-time information, create awareness of high-risk flooding areas and generate alerts for emergency management and the community.
SAS difference
By using SAS Analytics for IoT, governments can easily access past and current flood data in their area and gain longitudinal intelligence. In present-day scenarios, Sensors transmit data in real time to track water level and weather data, alerting emergency managers when there is a potential danger and allowing local governments to make the best and most timely possible decisions to keep citizens and infrastructure safe.
SAS provides:
- Digital twin capability that enables users to test different weather scenarios with geospatial characteristics that impact flooding, creating what-if scenario analysis.
- Insightful, interactive, easy-to-understand visualization dashboards highlighting current dry and wet conditions. These visualizations are also an easy way to take in large data sets collected by a range of sensors to help show the effects of potential changes.
- An alerting system that notifies emergency workers and citizens about rising water for a quick response to dangerous situations.
- A solution that uses your understanding of the towns and communities around you to build the most accurate models for current and future situations.