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Freshwaterhack Project: Mountain to Sea Sediment

Authors: Christina Bandaragoda · Alex Horner-Devine · Erkan Istanbulluoglu · Benjamin Hudson
Owners: Christina Bandaragoda · Alex Horner-Devine
Resource type:Collection Resource
Created:Nov 15, 2016 at 7:22 p.m.
Last updated: Sep 06, 2018 at 11:36 a.m. by Christina Bandaragoda


There is an important gap in flood modeling: flood models do not sufficiently resolve sediment dynamics in river networks and related consequences for channel conveyance. Especially in tectonically active regions, changes in channel capacity due to geomorphic processes may sometimes be as or more important than the frequency of high discharge events in determining flood risks.

Alex Bryk et al. at UC Berkeley have been using Earth Engine to study geomorphology. Specifically, this animation (https://docs.google.com/presentation/d/16U1vGD1ewGyBBVh_UHslYRkf5FNLZHmsLiD_1fcaAzY/edit SLIDE 67) shows patterns of erosion and deposition over time. Because they can scale their algorithms to run anywhere, their findings are challenging conventional wisdom for how rivers form and evolve.

How to can use remotely sensed data, together with tools such as GEE, to quantify changes in the sediment flux through river systems?
How can we use these tools to improve our understanding of sediment and flooding in the Pacific Northwest?

Geohackweek questions to explore:
(1) Which watersheds have the greatest upland river dynamics?
(2) Which watersheds have the greatest lowland and esturay dynamics?
(3) In which watersheds should we extend our observational networks and modeling studies to best understand those areas most affected by flooding uncertainty related to sediment?

Subject Keywords

geomorphology,sediment,Pacific Northwest,Puget Sound,Salish Sea,hydrodynamics

How to cite

Bandaragoda, C., A. Horner-Devine, E. Istanbulluoglu, B. Hudson (2016). Freshwaterhack Project: Mountain to Sea Sediment, HydroShare, http://www.hydroshare.org/resource/65893e1ed2dd4990b26db982d530fef6

This resource is shared under the Creative Commons Attribution CC BY.


Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Collection Contents

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The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Christina Bandaragoda University of Washington
Alex Horner-Devine
Erkan Istanbulluoglu University of Washington
Benjamin Hudson
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Freshwaterhack of UW Geohackweek Christina Bandaragoda · Anthony Arendt · Nicoleta Cristea  Public &  Shareable Open Access


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