The National Science Foundation has awarded a $1.5 million Smart and Connected Communities grant to a team of researchers at Arizona’s three public universities to develop a network that integrates existing technologies and crowdsourced data to improve real-time knowledge of flooding and enhance communication during flood events.
The Integrated Flood Stage Observation Network (IFSON) will capitalize on a number of communication technologies to bring together citizens and mobilize city planners, first responders and other local stakeholders to assess flood risks and effectively communicate within a shared, collaboratively constructive information space for flood emergencies.
“We plan on developing several novel technologies for real-time flood monitoring, including webcams with image recognition, social media mining, smartphone apps and calibration tools,” said Arizona State University sustainability scientist Mikhail Chester, principal investigator for the NSF grant and associate professor in the School of Sustainable Engineering and the Built Environment. “The prevalence of smartphones and webcams create new opportunities that haven't existed to provide insights into what's happening in the world around us. We want to put those technologies in the hands of communities to protect themselves against extreme events.”
The network will use raw, open data sourced from inexpensive or free data streams that rely on community input, including social media, traffic cameras and webcams, and share that information with flood forecasters and infrastructure managers. IFSON will be scalable and replicable in any community or city for flood emergencies.
The flood hazards created by the concentrated rainfall of Arizona’s annual monsoon season, the state’s extensive transportation infrastructure — some of which is prone to frequent flooding — and the broad network of sustainability and infrastructure researchers make Arizona an ideal place for this research.
Read the full story on ASU Now.
Arizona university researchers collaborate to forecast, track flooded infrastructure
The National Science Foundation has awarded a $1.5 million Smart and Connected Communities grant to a team of researchers at Arizona’s three public universities to develop a network that integrates existing technologies and crowdsourced data to improve real-time knowledge of flooding and enhance communication during flood events.
The Integrated Flood Stage Observation Network (IFSON) will capitalize on a number of communication technologies to bring together citizens and mobilize city planners, first responders and other local stakeholders to assess flood risks and effectively communicate within a shared, collaboratively constructive information space for flood emergencies.
“We plan on developing several novel technologies for real-time flood monitoring, including webcams with image recognition, social media mining, smartphone apps and calibration tools,” said Arizona State University sustainability scientist Mikhail Chester, principal investigator for the NSF grant and associate professor in the School of Sustainable Engineering and the Built Environment. “The prevalence of smartphones and webcams create new opportunities that haven't existed to provide insights into what's happening in the world around us. We want to put those technologies in the hands of communities to protect themselves against extreme events.”
The network will use raw, open data sourced from inexpensive or free data streams that rely on community input, including social media, traffic cameras and webcams, and share that information with flood forecasters and infrastructure managers. IFSON will be scalable and replicable in any community or city for flood emergencies.
The flood hazards created by the concentrated rainfall of Arizona’s annual monsoon season, the state’s extensive transportation infrastructure — some of which is prone to frequent flooding — and the broad network of sustainability and infrastructure researchers make Arizona an ideal place for this research.
Read the full story on ASU Now.