On the Design of an Intelligent Sensor Network for Flash Flood Monitoring, Diagnosis and Management in Urban Areas Position Paper
We propose an intelligent sensor system based on a new sensing methodology, relying also on 3D map reconstruction techniques, for computing with high precision, in real-time and without human intervention the parameters needed for stream-flow computa- tion: water levels, morphology of the streams of...
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| Published in | Procedia computer science Vol. 32; pp. 941 - 946 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1877-0509 1877-0509 |
| DOI | 10.1016/j.procs.2014.05.515 |
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| Abstract | We propose an intelligent sensor system based on a new sensing methodology, relying also on 3D map reconstruction techniques, for computing with high precision, in real-time and without human intervention the parameters needed for stream-flow computa- tion: water levels, morphology of the streams of all potentially flooded areas by each controlled stream. The collected data will be continuously transmitted, through a communication infrastructure, to software agents designed to compute the stream-flow and to quantify the spatial distribution of flood risk for each controlled watershed. The computed risks, together with other data coming from other sources (barometric sensors, camera operators of public organizations, emergency agencies, private citizens), will be analyzed by a diagnostic decision system implementing a risk-alert scheduling strategy. This system will be able to diagnose the health state of the controlled environment and to define specialized alarm levels for each potentially interested area that will be used to alert all citizens (ubiquity) locally present (alerting locality). |
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| AbstractList | We propose an intelligent sensor system based on a new sensing methodology, relying also on 3D map reconstruction techniques, for computing with high precision, in real-time and without human intervention the parameters needed for stream-flow computa- tion: water levels, morphology of the streams of all potentially flooded areas by each controlled stream. The collected data will be continuously transmitted, through a communication infrastructure, to software agents designed to compute the stream-flow and to quantify the spatial distribution of flood risk for each controlled watershed. The computed risks, together with other data coming from other sources (barometric sensors, camera operators of public organizations, emergency agencies, private citizens), will be analyzed by a diagnostic decision system implementing a risk-alert scheduling strategy. This system will be able to diagnose the health state of the controlled environment and to define specialized alarm levels for each potentially interested area that will be used to alert all citizens (ubiquity) locally present (alerting locality). |
| Author | Federici, B. Corradi, N. Gourbesville, P. La Camera, A. Guerrini, G. Rosso, P. Zolezzi, G. Dellacasa, A. Dugelay, J.-L. Delzanno, G. Ancona, M. Stephens, J. Tacchella, A. |
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| Cites_doi | 10.1109/IROS.2012.6385882 10.1002/hyp.9225 10.1007/978-3-642-24310-3_18 10.1016/j.geomorph.2006.10.031 10.1109/CTS.2009.5067461 10.1109/MIC.2008.87 10.1007/978-3-642-39176-7_11 10.1029/WR014i006p01141 10.1051/lhb/2012034 |
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| Keywords | Real-time Warnings Flood Monitoring Geo-referenced communication Social Sensing Sensor Fusion Intelligent Sensor Network Data Integration |
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| References | SparQL language specifications: http://www.w3.org/TR/rdf-sparql-query/in press. Ligurian rain monitoring network: http://93-62-155-214.ip23.fastwebnet.it/∼omirl/WEB/(in Italian). 2012 Stream monitoring techniques: http://watermonitoring.uwex.edu/pdf/level1/FactSeries-StreamFlow.pdf. US EPA stream flow monitoring: http://water.epa.gov/type/rsl/monitoring/vms51.cfm. Fallon M.F., Johannsson H., Brookshire J., Teller S., Leonard J.L.: Sensor Fusion for Flexible Human-Portable Building-Scale Mapping. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2012; pp 4405-4412. McMillan, H.K. and Brasington, J., Reduced Complexity Strategies for Modelling Urban Floodplain Inundation, Geomorphology, 90, 226-243, 2007. Williams G.P.: Bank-full discharge of rivers, Water Resources Research 1978; 14, Issue 6, pp 11411154. Mountain rescue system: https://sites.google.com/site/gter4more/in press. Zolezzi G., Zamler D., Laronne J.B., Salvaro M., Piazza F., Le Coz J., Welber M., Dramais G. A systematic test of surface velocity radar (SVR) to improve flood discharge prediction. Am. Geophys. Union Fall Meeting, S. Francisco, 2011. Nathanson M., Kean J.W., Grabs T.J., Seibert J., Laudon H., Lyon S.W.: Modelling rating curves using remotely sensed LiDAR data, Hydrol. Process., 2012; 26 pp 14271434. Stream monitoring techniques: http://www.stream.fs.fed.us/publications/PDFs/RM245E.PDF. Weather monitoring in Liguria: http://www.centrometeoligure.it/rete/reteosservativa.php (in Italian). Delzanno G., Traverso R.: Specification and Validation of Link Reversal Routing via Graph Transformations. SPIN 2013: 160-177. Henson C., Pschorr J., Sheth A., Thirunarayan K.: SemSOS: Semantic Sensor Observation Service. Proc. of 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009). Gourbesville P., Batica J., Tigli J.Y., Lavirotte S., Rey G., Raju D.K.: Flood warning systems and ubiquitous computing Ranft B., Dugelay J.L., Apvrille L.: 3D perception for autonomous navigation of a low-cost MAV using minimal landmarks, IMAV 2013, International Micro Air Vehicle Conference and Flight Competition; 2013. Geolocalization standards: http://www.opengeospatial.org/standards/om. Ushahidi Information crowdsourcing device: http://www.ushahidi.com. Owl language specifications: http://www.w3.org/TR/owl-ref/in press. Geolocalization standards: http://www.opengeospatial.org/standards/sos. Flow sensor: http://www.hachflow.com/pdf/FLO-DARSensorDS.pdf. Sheth A., Henson C., and Sahoo S.: Semantic Sensor Web, IEEE Internet Computing, July/August 2008, p. 78-83. Abdulla P., Delzanno G., Rezine O., Sangnier A., Traverso R.: On the Verification of Timed Ad Hoc Networks. FORMATS 2011: 256-270. Petersen G.: Managing Extreme Flood Events, German IHP/HWRP National Committee (ISSN 1614-1180), 2009, 106 p. Einfalt T., Hatzfeld F., Wagner A., Seltmann J., Castro D., Frerichs S.: URBAS: Forecasting and Management of Flash Floods in Urban Areas,. Stream Flow measurement protocols: http://www.dep.wv.gov/WWE/watershed/Documents/2012_WAB_SOP/WBVelocity.pdf. pp 11-16. Ancona M., Briola D., Locoro A., Mascardi V., Tacchella A., Traverso A.: Exploiting Human Portable Devices for 3D models Extraction in Cultural Heritage Applications 2006. 2012; (in print). LIDAR references: http://www.lidar-uk.com/usage-of-lidar/in press. 10.1016/j.procs.2014.05.515_bib0030 10.1016/j.procs.2014.05.515_bib0095 10.1016/j.procs.2014.05.515_bib0010 10.1016/j.procs.2014.05.515_bib0075 10.1016/j.procs.2014.05.515_bib0130 10.1016/j.procs.2014.05.515_bib0070 10.1016/j.procs.2014.05.515_bib0050 10.1016/j.procs.2014.05.515_bib0115 10.1016/j.procs.2014.05.515_bib0015 10.1016/j.procs.2014.05.515_bib0055 10.1016/j.procs.2014.05.515_bib0110 10.1016/j.procs.2014.05.515_bib0135 10.1016/j.procs.2014.05.515_bib0035 10.1016/j.procs.2014.05.515_bib0090 10.1016/j.procs.2014.05.515_bib0085 10.1016/j.procs.2014.05.515_bib0140 10.1016/j.procs.2014.05.515_bib0040 10.1016/j.procs.2014.05.515_bib0065 10.1016/j.procs.2014.05.515_bib0120 10.1016/j.procs.2014.05.515_bib0020 10.1016/j.procs.2014.05.515_bib0080 10.1016/j.procs.2014.05.515_bib0060 10.1016/j.procs.2014.05.515_bib0005 10.1016/j.procs.2014.05.515_bib0125 10.1016/j.procs.2014.05.515_bib0105 10.1016/j.procs.2014.05.515_bib0045 10.1016/j.procs.2014.05.515_bib0100 10.1016/j.procs.2014.05.515_bib0025 |
| References_xml | – reference: Flow sensor: http://www.hachflow.com/pdf/FLO-DARSensorDS.pdf. – reference: Weather monitoring in Liguria: http://www.centrometeoligure.it/rete/reteosservativa.php (in Italian). – reference: Einfalt T., Hatzfeld F., Wagner A., Seltmann J., Castro D., Frerichs S.: URBAS: Forecasting and Management of Flash Floods in Urban Areas,. – reference: , 2006. – reference: Petersen G.: Managing Extreme Flood Events, German IHP/HWRP National Committee (ISSN 1614-1180), 2009, 106 p. – reference: Geolocalization standards: http://www.opengeospatial.org/standards/om. – reference: Sheth A., Henson C., and Sahoo S.: Semantic Sensor Web, IEEE Internet Computing, July/August 2008, p. 78-83. – reference: Mountain rescue system: https://sites.google.com/site/gter4more/in press. – reference: McMillan, H.K. and Brasington, J., Reduced Complexity Strategies for Modelling Urban Floodplain Inundation, Geomorphology, 90, 226-243, 2007. – reference: pp 11-16. – reference: Gourbesville P., Batica J., Tigli J.Y., Lavirotte S., Rey G., Raju D.K.: Flood warning systems and ubiquitous computing, – reference: Ushahidi Information crowdsourcing device: http://www.ushahidi.com. – reference: Delzanno G., Traverso R.: Specification and Validation of Link Reversal Routing via Graph Transformations. SPIN 2013: 160-177. – reference: Henson C., Pschorr J., Sheth A., Thirunarayan K.: SemSOS: Semantic Sensor Observation Service. Proc. of 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009). – reference: Abdulla P., Delzanno G., Rezine O., Sangnier A., Traverso R.: On the Verification of Timed Ad Hoc Networks. FORMATS 2011: 256-270. – reference: Stream monitoring techniques: http://www.stream.fs.fed.us/publications/PDFs/RM245E.PDF. – reference: Owl language specifications: http://www.w3.org/TR/owl-ref/in press. – reference: Ranft B., Dugelay J.L., Apvrille L.: 3D perception for autonomous navigation of a low-cost MAV using minimal landmarks, IMAV 2013, International Micro Air Vehicle Conference and Flight Competition; 2013. – reference: Williams G.P.: Bank-full discharge of rivers, Water Resources Research 1978; 14, Issue 6, pp 11411154. – reference: LIDAR references: http://www.lidar-uk.com/usage-of-lidar/in press. – reference: Stream Flow measurement protocols: http://www.dep.wv.gov/WWE/watershed/Documents/2012_WAB_SOP/WBVelocity.pdf. – reference: 2012; (in print). – reference: , 2012; – reference: Zolezzi G., Zamler D., Laronne J.B., Salvaro M., Piazza F., Le Coz J., Welber M., Dramais G. A systematic test of surface velocity radar (SVR) to improve flood discharge prediction. Am. Geophys. Union Fall Meeting, S. Francisco, 2011. – reference: Ligurian rain monitoring network: http://93-62-155-214.ip23.fastwebnet.it/∼omirl/WEB/(in Italian). – reference: Stream monitoring techniques: http://watermonitoring.uwex.edu/pdf/level1/FactSeries-StreamFlow.pdf. – reference: Fallon M.F., Johannsson H., Brookshire J., Teller S., Leonard J.L.: Sensor Fusion for Flexible Human-Portable Building-Scale Mapping. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2012; pp 4405-4412. – reference: Nathanson M., Kean J.W., Grabs T.J., Seibert J., Laudon H., Lyon S.W.: Modelling rating curves using remotely sensed LiDAR data, Hydrol. Process., 2012; 26 pp 14271434. – reference: SparQL language specifications: http://www.w3.org/TR/rdf-sparql-query/in press. – reference: Geolocalization standards: http://www.opengeospatial.org/standards/sos. – reference: US EPA stream flow monitoring: http://water.epa.gov/type/rsl/monitoring/vms51.cfm. – reference: Ancona M., Briola D., Locoro A., Mascardi V., Tacchella A., Traverso A.: Exploiting Human Portable Devices for 3D models Extraction in Cultural Heritage Applications, – ident: 10.1016/j.procs.2014.05.515_bib0025 doi: 10.1109/IROS.2012.6385882 – ident: 10.1016/j.procs.2014.05.515_bib0075 – ident: 10.1016/j.procs.2014.05.515_bib0115 – ident: 10.1016/j.procs.2014.05.515_bib0140 – ident: 10.1016/j.procs.2014.05.515_bib0130 – ident: 10.1016/j.procs.2014.05.515_bib0085 – ident: 10.1016/j.procs.2014.05.515_bib0090 – ident: 10.1016/j.procs.2014.05.515_bib0125 – ident: 10.1016/j.procs.2014.05.515_bib0045 doi: 10.1002/hyp.9225 – ident: 10.1016/j.procs.2014.05.515_bib0005 doi: 10.1007/978-3-642-24310-3_18 – ident: 10.1016/j.procs.2014.05.515_bib0100 – ident: 10.1016/j.procs.2014.05.515_bib0040 doi: 10.1016/j.geomorph.2006.10.031 – ident: 10.1016/j.procs.2014.05.515_bib0010 – ident: 10.1016/j.procs.2014.05.515_bib0035 doi: 10.1109/CTS.2009.5067461 – ident: 10.1016/j.procs.2014.05.515_bib0050 – ident: 10.1016/j.procs.2014.05.515_bib0060 doi: 10.1109/MIC.2008.87 – ident: 10.1016/j.procs.2014.05.515_bib0015 doi: 10.1007/978-3-642-39176-7_11 – ident: 10.1016/j.procs.2014.05.515_bib0055 – ident: 10.1016/j.procs.2014.05.515_bib0080 – ident: 10.1016/j.procs.2014.05.515_bib0135 – ident: 10.1016/j.procs.2014.05.515_bib0110 – ident: 10.1016/j.procs.2014.05.515_bib0065 doi: 10.1029/WR014i006p01141 – ident: 10.1016/j.procs.2014.05.515_bib0020 – ident: 10.1016/j.procs.2014.05.515_bib0030 doi: 10.1051/lhb/2012034 – ident: 10.1016/j.procs.2014.05.515_bib0120 – ident: 10.1016/j.procs.2014.05.515_bib0095 – ident: 10.1016/j.procs.2014.05.515_bib0105 – ident: 10.1016/j.procs.2014.05.515_bib0070 |
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| Title | On the Design of an Intelligent Sensor Network for Flash Flood Monitoring, Diagnosis and Management in Urban Areas Position Paper |
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