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<strong>Peace</strong> <strong>Project</strong> <strong>Water</strong> <strong>Use</strong> <strong>Plan</strong><br />
Annual Report: 2010<br />
emissions. The strength of the dust emissions will be a function of the availability and<br />
amount of PM10 in the beach sediments (a function of sediment texture) and the<br />
strength of the wind. Having the ability to identify, in advance, areas that should be<br />
prioritized for treatment could result in significant cost savings for mitigation to reduce<br />
the contributions of PM10 from these beaches that affects local and<br />
regional air quality.<br />
This project was undertaken to assess the feasibility of developing a model system<br />
that would identify the emission potential of beaches around the Williston Reservoir,<br />
which could lead, in the future, to a system capable of providing information on the<br />
emission potential of the beaches through time and as a function of environmental<br />
conditions. Such a modeling system could form the basis for strategizing when and<br />
where to apply dust control measures to maximize the investment on reducing the<br />
PM10 concentrations that impact the local and regional environment, while saving<br />
costs related to mitigation efforts.<br />
The primary objectives of the study were to:<br />
1. assess the ability of remotely-sensed data from RADARSAT-2 to predict near<br />
surface soil moisture and surface roughness, which critically control wind erosion<br />
threshold, at appropriate spatial and temporal scales on a representative beach<br />
that has a range of surface and textural characteristics,<br />
2. assess the ability of RADARSAT-2 and/or LandSAT to differentiate the textural<br />
characteristics of the surface sediments, which will affect wind erosion threshold<br />
and dust emission potential,<br />
3. using a recently developed instrument (PI-SWERL), characterize the wind<br />
erosion threshold and dust emission potential of selected beach surfaces and<br />
evaluate the relationship between these measurements and the remotely sensed<br />
signals for soil moisture, roughness, and texture,<br />
4. further develop an available wind erosion model to enable it to characterize<br />
erosion and dust emission potential using the RADARSAT-2 and LandSatderived<br />
data, as well as the measured surface threshold and emission<br />
relationships obtained with the PISWERL for typical wind speeds at the Williston<br />
Reservoir.<br />
This project successfully addressed the above listed objectives and produced a<br />
working dust emission model that could, with some further development, serve as the<br />
basis of a predictive system to identify beach areas at Williston Reservoir that could<br />
be prioritized to receive dust emission controls. The modeled high emission days<br />
correspond to dates where dust storms occurred as measured at the on-site<br />
meteorological tower and dust monitoring station (recorded by the Tillage Trials<br />
project), demonstrating that the model can effectively reproduce an emission event.<br />
The model uses relatively few parameters and the methodology developed to obtain<br />
these input parameters using GIS and remote sensing techniques along with a<br />
stochastic approach for assessing threshold shear velocity can be applied not only to<br />
this location in the future but to other locations as well. Model results indicate that<br />
there is a spatial distribution to dust emissions on the reservoir beaches that change<br />
as a function of the state of the input parameters. With foreknowledge of the critical<br />
input parameters the model could be run in a forecasting mode to provide a map of<br />
dust emission potential as a function of location and strength.<br />
<strong>BC</strong> <strong>Hydro</strong> Page 46