July 6, 2009 By Blake Harris
Part of the problem local governments face when a potentially devastating hurricane threatens their region is that some residents simply refuse to evacuate their homes when instructed to. As we all know, New Orleans residents were told to evacuate days before the arrival of Hurricane Katrina, but many stayed for various reasons. One was simply that they had been through serious hurricanes before and had managed okay.
One thing that might help in such future scenarios is if citizens could be given more accurate information on the likely severity of flooding expected. This may soon be possible.
Researchers from Tel Aviv University say they have found a novel and reliable way to help predict the intensity of the next big flood, using common cell phone towers across the United States. Their model, which analyzes cell phone signals, adds a critical component to weather forecasting never before available, according to a Friends of Tel Aviv University news release.
"By monitoring the specific and fluctuating atmospheric moisture around cell phone towers throughout America, we can cheaply, effectively and reliably provide a more accurate 'critical moisture distribution' level for fine-tuning model predictions of big floods," says Prof. Pinhas Alpert, a geophysicist and head of Tel Aviv University's Porter School for Environmental Education.
Cell phone towers emit radio waves that are diminished by moisture in the air, a factor that can be used to improve model warnings on flood levels. In addition, the researchers measured the rainfall distributions and were able to accurately estimate the size of impending floods before they struck. This was demonstrated in post-analysis of two case-studies of floods in the Judean Desert in Israel, where cell phone towers - and flash floods - are abundant.
Using real data measurements collected from the towers, the researchers demonstrated how microwave links in a cellular network correlated with surface station humidity measurements. The data provided by cell phone towers is the missing link weather forecasters need to improve the accuracy of flood forecasting.
Photo: Prof. Pinhas Alpert, Tel Aviv University
"Our method provides reliable measurement of moisture fields near the flood zone for the first time," notes Prof. Alpert, who also works with NASA on developing models to study global warming weather patterns. This new tool, he says, can add to the bigger picture of understanding climate change patterns in general.
"Accurate predictions of flooding were difficult before because there haven't been enough reliable measurements of moisture fields in remote locations," Prof. Alpert adds. Using the signals collected from cell phone towers as they communicate with base stations and our handsets, weather forecasters will now have a crucial missing piece of information for flood prediction that they never had before. It will permit forecasters and residents alike to more accurately gage the danger they face from an impending flood.
Because hundreds of thousands of cell phone towers are already in place, the Tel Aviv University invention can be adopted quickly. And cell phone companies are already collecting the data anyway, as Americans continue to ramp up their minutes of call time every month.
Prof. Alpert and his co-researchers Prof. Hagit Messer Yaron and doctoral fellow Noam David reported on their research in the April 2009 Atmospheric Chemistry and Physics.
All over the country, community leaders are looking to boost economic development through various initiatives. One key element in many of those initiatives is the use of information technology. When local governments build IT infrastructure, create e-government applications, assist high-tech startups or otherwise focus on technology, they create conditions that draw businesses to their communities and help retain skilled workers. This paper discusses and provides examples of these various ways local government can use technology to ultimately make a community more attractive to businesses, visitors and residents.