Geological Disaster Monitoring Based on Sensor Networks / edited by Tariq S. Durrani, Wei Wang, Sheila M Forbes

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Springer Natural Hazards | Springer eBook Collection | SpringerLink BücherVerlag: Singapore : Springer Singapore, 2019Beschreibung: Online-Ressource (VI, 214 p. 100 illus, online resource)ISBN:

9789811309922

Schlagwörter:

Andere physische Formen: 9789811309915 | 9789811309939 | Printed edition: 9789811309915 | Printed edition: 9789811309939 DDC-Klassifikation:

624.15

LOC-Klassifikation:

TA703-705.4 TA775-787 TC1-1800
TA703-705.4
TA775-787
TC1-1800

DOI: DOI: 10.1007/978-981-13-0992-2Online-Ressourcen:

Zusammenfassung: This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers from China and the UK specializing in geosciences, sensor signal networks and their applications to natural disaster recovery. The Workshop presentations covered the state of the art in the area of disaster recovery and blended wireless sensor systems that act as early warning systems to mitigate the consequences of disasters and function as post-disaster recovery vehicles. This book promotes knowledge transfer and helps readers explore and identify research opportunities by highlighting research outcomes in the internationally relevant area of disaster recovery and mitigationZusammenfassung: Preface -- Introduction -- Application of Dense Offshore Tsunami Observations from Ocean Bottom Pressure Gauges (OBPGs) for Tsunami Research and Early Warnings -- Remote Sensing for Natural or Man-made Disasters and Environmental Changes -- Classification of Post-Earthquake High Resolution Images using Adaptive Dynamic Region Merging and Gravitational Self-Organizing Maps -- A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management -- Modelling of Earthquake Hazard and Secondary Effects for Loss Assessment in Marmara (Turkey) -- Unmanned Aerial Vehicles for Disaster Management -- Human Detection based on Radar Sensor Network in Natural Disaster -- Real-time Wind Velocity Monitoring based on Acoustic Tomography -- Intelligent Sub-meter Localization Based on OFDM Modulation Signal -- Conclusions and Final CommentsPPN: PPN: 103010946XPackage identifier: Produktsigel: ZDB-2-EES | ZDB-2-SEB | ZDB-2-SXEE

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