On the other hand, no significant correlations were found between sentiment scores and resilience indicators, suggesting that further research on sentiment analysis may be needed. These results imply that Twitter use during disasters could be improved to increase the resilience of affected communities. Significant positive correlations were found between Twitter use density and resilience indicators, confirming that communities with higher resilience capacity, which are characterized by better social–environmental conditions, tend to have higher Twitter use. Third, we correlated Twitter use density and sentiment scores with the resilience scores and major social–environmental variables to test whether significant geographical and social disparities in Twitter use existed through the three phases of disaster management. Second, we analyzed Twitter use and their sentiment patterns through the three phases of Hurricane Isaac-preparedness, response, and recovery. ![]() First, we applied the resilience inference measurement (RIM) model to calculate the resilience indices of 146 affected counties. An important research question is: Does Twitter use correlate with disaster resilience? Specifically, will communities with more disaster-related Twitter uses be more resilient to disasters, presumably because they have better situational awareness? The underlying issue is that if there are social and geographical disparities in Twitter use, how will such disparities affect communities’ resilience to disasters? This study examines the relationship between Twitter use and community resilience during Hurricane Isaac, which hit Louisiana and Mississippi in August 2012. With increasing use of social media, new data sources such as Twitter could be utilized to monitor human response during different phases of disasters to better understand resilience. Most studies rely on traditional data such as census data to study community resilience. ![]() USGS Science Features, Aug.Disaster resilience is the capacity of a community to “bounce back” from disastrous events. 25, 2012: Preparing for Tropical Storm Isaac 25, 2012: Florida Beaches and Dunes Face Erosion Risk During TS Isaac 27, 2012: Coastal Change Hazards: Hurricanes and Extreme Storms: Tropical Storm Isaac Petersburg Coastal and Marine Science Center, Aug. USGS Newsroom, August 28, 2012: Storm-Surge Sensors Deployed Ahead of Isaac USGS Science Features, August 28, 2012: USGS Responds to Hurricane Isaac ![]() In addition, imagery was provided from the National Geodetic Survey.įollowing the event, high-water mark (HWM) data was added to the map by field crews soon after collection, including survey data and photos. This data became available on the viewer as soon as it was safe to retrieve the sensors and upload the data. Storm Surge Sensors are also shown that record fine-resolution storm tide and wave level data. A storm track field is included from NOAA's National Hurricane Center, and real-time USGS streamgage data and Rapid Deployment Gage data are linked through this map-based product. The USGS Flood Event Viewer helps USGS and its partners to track of the storm and its impact on surface water levels. The USGS Flood Event Viewer provides access to USGS monitoring activities during Hurricane Isaac.
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