際際滷shows by User: PrashantFuloria1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: PrashantFuloria1 / Sat, 25 Apr 2020 19:05:52 GMT 際際滷Share feed for 際際滷shows by User: PrashantFuloria1 Real-Time Assessment of Flash Flood Threat Using Optical-Acoustic Technology /slideshow/realtime-assessment-of-flash-flood-threat-using-opticalacoustic-technology/232645603 technicalpresentation-200425190552
With the acceleration of climate change, floods are becoming more frequent and less predictable. In 2018, flooding accounted for 24% of all worldwide deaths related to natural disasters, second only to earthquakes. Flash floods, which involve the rapid flooding of low-lying areas, are particularly hazardous. Just 6 inches of fast-moving flood water can knock over an adult and 12 inches of rushing water can carry away most cars. The power of a flash flood increases linearly with water depth and with the cube of water velocity, both parameters that vary greatly by location. As a result, conventional techniques are inadequate for assessing flash flood threat and need to be supplemented with localized, real-time methods. The goal of the project is to prototype technologies that can assess flash flood threat at a specific location in real-time so that appropriate warnings can be generated for impacted people. This is done through robust measurements of water depth and water velocity. Water depth is measured acoustically, via an ultrasonic range-finding sensor and an Arduino. Water velocity is measured optically, via two implementations of large-scale particle image velocimetry (LSPIV): a smartphone application and a desktop software package. Early testing in a flume demonstrates both the viability of this approach and opportunities for improving measurement reliability. The technologies prototyped in this study, namely ultrasound depth sensing and LSPIV velocity measurement, can be incorporated into low-cost, weather-resistant devices that can be easily installed overlooking flood-prone locations for real-time assessment and communication of flash flood threat. ]]>

With the acceleration of climate change, floods are becoming more frequent and less predictable. In 2018, flooding accounted for 24% of all worldwide deaths related to natural disasters, second only to earthquakes. Flash floods, which involve the rapid flooding of low-lying areas, are particularly hazardous. Just 6 inches of fast-moving flood water can knock over an adult and 12 inches of rushing water can carry away most cars. The power of a flash flood increases linearly with water depth and with the cube of water velocity, both parameters that vary greatly by location. As a result, conventional techniques are inadequate for assessing flash flood threat and need to be supplemented with localized, real-time methods. The goal of the project is to prototype technologies that can assess flash flood threat at a specific location in real-time so that appropriate warnings can be generated for impacted people. This is done through robust measurements of water depth and water velocity. Water depth is measured acoustically, via an ultrasonic range-finding sensor and an Arduino. Water velocity is measured optically, via two implementations of large-scale particle image velocimetry (LSPIV): a smartphone application and a desktop software package. Early testing in a flume demonstrates both the viability of this approach and opportunities for improving measurement reliability. The technologies prototyped in this study, namely ultrasound depth sensing and LSPIV velocity measurement, can be incorporated into low-cost, weather-resistant devices that can be easily installed overlooking flood-prone locations for real-time assessment and communication of flash flood threat. ]]>
Sat, 25 Apr 2020 19:05:52 GMT /slideshow/realtime-assessment-of-flash-flood-threat-using-opticalacoustic-technology/232645603 PrashantFuloria1@slideshare.net(PrashantFuloria1) Real-Time Assessment of Flash Flood Threat Using Optical-Acoustic Technology PrashantFuloria1 With the acceleration of climate change, floods are becoming more frequent and less predictable. In 2018, flooding accounted for 24% of all worldwide deaths related to natural disasters, second only to earthquakes. Flash floods, which involve the rapid flooding of low-lying areas, are particularly hazardous. Just 6 inches of fast-moving flood water can knock over an adult and 12 inches of rushing water can carry away most cars. The power of a flash flood increases linearly with water depth and with the cube of water velocity, both parameters that vary greatly by location. As a result, conventional techniques are inadequate for assessing flash flood threat and need to be supplemented with localized, real-time methods. The goal of the project is to prototype technologies that can assess flash flood threat at a specific location in real-time so that appropriate warnings can be generated for impacted people. This is done through robust measurements of water depth and water velocity. Water depth is measured acoustically, via an ultrasonic range-finding sensor and an Arduino. Water velocity is measured optically, via two implementations of large-scale particle image velocimetry (LSPIV): a smartphone application and a desktop software package. Early testing in a flume demonstrates both the viability of this approach and opportunities for improving measurement reliability. The technologies prototyped in this study, namely ultrasound depth sensing and LSPIV velocity measurement, can be incorporated into low-cost, weather-resistant devices that can be easily installed overlooking flood-prone locations for real-time assessment and communication of flash flood threat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/technicalpresentation-200425190552-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With the acceleration of climate change, floods are becoming more frequent and less predictable. In 2018, flooding accounted for 24% of all worldwide deaths related to natural disasters, second only to earthquakes. Flash floods, which involve the rapid flooding of low-lying areas, are particularly hazardous. Just 6 inches of fast-moving flood water can knock over an adult and 12 inches of rushing water can carry away most cars. The power of a flash flood increases linearly with water depth and with the cube of water velocity, both parameters that vary greatly by location. As a result, conventional techniques are inadequate for assessing flash flood threat and need to be supplemented with localized, real-time methods. The goal of the project is to prototype technologies that can assess flash flood threat at a specific location in real-time so that appropriate warnings can be generated for impacted people. This is done through robust measurements of water depth and water velocity. Water depth is measured acoustically, via an ultrasonic range-finding sensor and an Arduino. Water velocity is measured optically, via two implementations of large-scale particle image velocimetry (LSPIV): a smartphone application and a desktop software package. Early testing in a flume demonstrates both the viability of this approach and opportunities for improving measurement reliability. The technologies prototyped in this study, namely ultrasound depth sensing and LSPIV velocity measurement, can be incorporated into low-cost, weather-resistant devices that can be easily installed overlooking flood-prone locations for real-time assessment and communication of flash flood threat.
Real-Time Assessment of Flash Flood Threat Using Optical-Acoustic Technology from Prashant Fuloria
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