CSDMS 2014 annual meeting poster Sagy Cohen: Difference between revisions

From CSDMS
(Created page with "__NOTOC__<div style="width:800px; float:left; background:#e0e0e0; padding:5px;"> <div style="float:right;"><FONT style="FONT-SIZE:10pt" color="#ffffff">''Presentation provide...")
 
No edit summary
 
Line 8: Line 8:
'''Abstract:'''
'''Abstract:'''


The WBMsed model is a global, spatially and temporally explicit riverine flux (water, sediment and nutrients) simulator. Among its many input datasets is a dams and reservoir dataset, used to calculates the water balance and the upstream sediment trapping efficiency of a river system. Here we compare results from three simulations: (1) no reservoirs input, (2) the model's original reservoirs input that include only large dams, and (3) a new dam dataset to include over 6600 large and small dams worldwide. The new dams input is based on the Global Reservoir and Dam (GRanD) Database (http://www.gwsp.org/products/grand-database.html). As expected, the results show that simulations that include dams yields a more accurate predictions of modern fluxes. The results also show that the new dataset have significantly improved the model accuracy in some rivers while having a neutral or, in some cases, negative effect in others.
The WBMsed model is a global, spatially and temporally explicit riverine flux (water, sediment and nutrients) simulator. Among its many input datasets is a dams and reservoir dataset, used to calculates the water balance and the upstream sediment trapping efficiency of a river system. Here we compare results from three simulations: (1) no reservoirs input, (2) the model's original reservoirs input that include only large dams, and (3) a new dam dataset to include over 6600 large and small dams worldwide. The new dams input is based on the Global Reservoir and Dam (GRanD) Database (http://sedac.ciesin.columbia.edu/data/collection/grand-v1). As expected, the results show that simulations that include dams yields a more accurate predictions of modern fluxes. The results also show that the new dataset have significantly improved the model accuracy in some rivers while having a neutral or, in some cases, negative effect in others.


<font color="red">*</font><small> ''Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.''</small>
<font color="red">*</font><small> ''Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.''</small>


</div>
</div>

Latest revision as of 09:37, 14 October 2019

Presentation provided during CSDMS annual meeting 2014

On the sensitivity of global suspended sediment modeling to dams

Sagy Cohen, University of Alabama Tuscaloosa Alabama, United States. sagy.cohen@ua.edu
James Syvitski, University of Colorado Boulder Colorado, United States.
Albert Kettner, University of Colorado Boulder Colorado, United States.

CSDMS2014 poster SagyCohen.png

Abstract:

The WBMsed model is a global, spatially and temporally explicit riverine flux (water, sediment and nutrients) simulator. Among its many input datasets is a dams and reservoir dataset, used to calculates the water balance and the upstream sediment trapping efficiency of a river system. Here we compare results from three simulations: (1) no reservoirs input, (2) the model's original reservoirs input that include only large dams, and (3) a new dam dataset to include over 6600 large and small dams worldwide. The new dams input is based on the Global Reservoir and Dam (GRanD) Database (http://sedac.ciesin.columbia.edu/data/collection/grand-v1). As expected, the results show that simulations that include dams yields a more accurate predictions of modern fluxes. The results also show that the new dataset have significantly improved the model accuracy in some rivers while having a neutral or, in some cases, negative effect in others.

* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.