Profiling of Soil Moisture Variability and Its Role in Rainfall-Runoff Generation in Northern California’s Russian River Watershed

2020 ◽  
Author(s):  
Edwin Sumargo ◽  
Rachel Weihs ◽  
Anna Wilson ◽  
Hilary McMillan
Keyword(s):  
Soil Moisture ◽  
Rainfall Runoff ◽  
Runoff Generation ◽  
River Watershed ◽  
Russian River ◽  
Soil Moisture Variability ◽  
Moisture Variability

scholarly journals A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes

PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0220457 ◽  
Author(s):  
Andrew Gillreath-Brown ◽  
Lisa Nagaoka ◽  
Steve Wolverton
Keyword(s):  
Soil Moisture ◽  
Agricultural Landscapes ◽  
Soil Moisture Variability ◽  
Moisture Variability

Tracking the storage and dissipation of atmospheric river storm water in the Russian River watershed using GPS elastic displacements

2021 ◽  
Author(s):  
Ellen Knappe ◽  
Adrian Borsa ◽  
Hilary Martens ◽  
Donald Argus ◽  
Zachary Hoylman ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Storage ◽  
Heavy Precipitation ◽  
Storm Water ◽  
Hydrologic Models ◽  
Effective Technique ◽  
Atmospheric Rivers ◽  
River Watershed ◽  
Russian River ◽  
Flooding Events

<p>GPS is emerging as an effective technique to estimate changes in total water storage at Earth's surface.  In California's mountains, GPS indicates that more subsurface storage is lost during drought and gained during years of heavy precipitation than predicted by hydrology models [Argus et al. 2017].  Atmospheric rivers provide a majority of the annual precipitation in coastal environments across North America. The Russian River watershed is often affected by these large storms, which can produce extensive flooding events. In this study, we estimate changes in water storage for the 2017 water year (October 2016 – September 2017), a historically wet year in California, in which more than 20 atmospheric rivers impacted the Russian River watershed. Using GPS displacements, we quantify the water gained during higher intensity atmospheric rivers. We further resolve the time it takes for the storm water to dissipate: that is, we distinguish between water that runs off into rivers and water that is stored in the ground as soil moisture. Finally, we investigate the empirical relationships between GPS displacement and precipitation, evapotranspiration, and soil moisture estimates with the aim of improving constraints to hydrologic models.</p>

Soil moisture variability along transects over a well-developed gully in the Loess Plateau, China

CATENA ◽  
2011 ◽  
Vol 87 (3) ◽  
pp. 357-367 ◽  
Author(s):  
Xiaodong Gao ◽  
Pute Wu ◽  
Xining Zhao ◽  
Yinguang Shi ◽  
Jiawen Wang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Loess Plateau ◽  
The Loess Plateau ◽  
Soil Moisture Variability ◽  
Moisture Variability
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