Shiva,
1. I guess I'm unclear on what you mean in terms of how SWAT will
handle this. I'm envisioning that you will have your shapefiles with
the snow pack, and you would have discharge (flow contribution) from
these snow areas. You'd have to break it up into your subbasins, and
add a point source in each subbasin where you are going to contribute
that flow. In your precipitation files, you'd want to make sure
precip is set to 0 as to not double your snow contributions. As far
as being routed into your stream reaches, I believe SWAT would simply
"dump" that contribution from the point source into the beginning of
the reach where it would be combined (and mixed) with the upstream
flow contributions (if any), and these would all be mixed together and
routed downstream. If you have more questions as to the processes of
the routing, I would suggest looking at the Theoretical Documentation
(check 2005 version since I don't believe 2009 is on the SWAT website
yet), or you can hope that someone else can describe in more detail
than I did. As far as using your method that you outlined above, does
your TANK model account for sediment or nutrient loading accompanying
your flow? If SWAT has zero precipitation, it isn't going to erode
anything off your landscape (although in channel erosion/deposition
would still occur). I would just keep this in mind depending on the
scope of your work.
2. Are you looking for a description of Muskingum versus Variable
Storage? If so, go to the Theoretical Documentation (2005 version
most likely).
3. I'm not sure which model is preferable in different situations.
The SWAT website has a "Publications" link on the top of their main
webpage. There are options for finding different professional
publication articles. I would guess somewhere there is an
professional paper describing the differences between the two models.
Or maybe someone else can jump in on this conversation. I don't have
enough experience with HEC-HMS to give you a good opinion.
4. When it comes to precipitation, it'd be hard for me to give a
preference of one technique over another. To me, the most important
factor is the number of precipitation observations that you can find.
The more rain gages you can have, the better off you will be. The
nature of precipitation events makes it very difficult to accurately
interpolate actual precipitation. A storm event could be very
localized over a precipitation gage, and regardless of the averaging
technique, they can simply be wrong if there was no precipitation
across the rest of an area. Precipitation accuracy is always an issue
that you just need to account for when reporting results. There are
going to be rain events missed or rain events that will cause
precipitation to be over-estimated in your watershed, regardless of
your technique. One potential solution is to use radar-based
estimation. The intensity of rainfall measured by radar can allow for
an estimate of total rainfall at a given location. This remote
sensing technique can help to fill in those gaps. How accurate is
it? I don't know off the top of my head, but it is another option
that you can try and research.
I hope this helps.
Regards,
Kyle
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