Skip to main content

Part of the book series: Springer Natural Hazards ((SPRINGERNAT))

  • 667 Accesses

Abstract

Large scale natural disasters cause untold misery and massive damage to life, infrastructure and property. Such disasters, often categorised as geophysical (such as earthquakes, volcanic eruptions, tsunamis, landslides, snowdrifts and avalanches), hydrological (including floods, river and debris overflows), meteorological (hurricane, tropical storms, sandstorms, high winds, heavy rainfall), climatological (such as wild-fires, drought, extreme temperatures), lead to significant loss of life, damage to the living, human displacement and poverty and indeed to devastation of the foundations of cities, towns, villages and the countryside; and the associated damage to the infrastructure of roads, housing, buildings, bridges, communication systems and more. Victims are often trapped in collapsed buildings, without electricity, water or other means of communications. Thus the development and understanding of advanced techniques for disaster relief are of immense current interest, and there is a compelling need for effective disaster prediction, relief, and associated management systems and the development and understanding of advanced techniques for disaster relief are of immense current interest. Requirements for the enhancement of early warning and emergency response systems to geological disasters are of essential importance. To ensure speedy recovery of people and the protection of the national infrastructure threatened by natural disasters, real time detection and data collections are a necessary prerequisite. Threats become even more complex due to the evolution of geological disasters.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tariq S. Durrani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Durrani, T.S., Wang, W., Forbes, S.M. (2019). Introduction. In: Durrani, T., Wang, W., Forbes, S. (eds) Geological Disaster Monitoring Based on Sensor Networks. Springer Natural Hazards. Springer, Singapore. https://doi.org/10.1007/978-981-13-0992-2_1

Download citation

Publish with us

Policies and ethics