Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-gvh9x Total loading time: 0 Render date: 2024-07-21T07:28:13.516Z Has data issue: false hasContentIssue false

Preface

Published online by Cambridge University Press:  05 June 2012

Jon D. Pelletier
Affiliation:
University of Arizona
Get access

Summary

Geomorphology is undergoing a renaissance made possible by new techniques in numerical modeling, geochronology, and remote sensing. Advances in numerical modeling make it possible to model surface processes and their feedbacks with climate and tectonics over a wide range of spatial and temporal scales. The Shuttle Radar Topography Mission (SRTM) has mapped most of Earth's topography at much higher spatial resolution and accuracy than ever before. Cosmogenic dating and other geochronologic techniques have provided vast new data on surface-process rates and landform ages. Modeling, geochronology, and remote sensing are also revolutionizing natural-hazard assessment and mitigation, enabling society to assess the hazards posed by floods, landslides, windblown dust, soil erosion, and other geomorphic hazards.

The complexity of geomorphic systems poses several challenges, however. First, the relationship between process and form is often difficult to determine uniquely. Many geomorphic processes cannot be readily quantified, and it is often unclear which processes are most important in controlling a particular geomorphic system, and how those processes interact to form the geomorphic and sedimentary records we see today. Terraces and sedimentary deposits on alluvial fans, for example, are controlled by climate, tectonics, and internal drainage adjustments in a way that geomorphologists have not been able to fully unravel. Second, surface processes are strongly influenced by fluid motions, and most classic geomorphic techniques (e.g. field mapping) are not well suited to quantifying fluid dynamics and their interactions with the surface.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Preface
  • Jon D. Pelletier, University of Arizona
  • Book: Quantitative Modeling of Earth Surface Processes
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511813849.001
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Preface
  • Jon D. Pelletier, University of Arizona
  • Book: Quantitative Modeling of Earth Surface Processes
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511813849.001
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preface
  • Jon D. Pelletier, University of Arizona
  • Book: Quantitative Modeling of Earth Surface Processes
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511813849.001
Available formats
×