[GRASS-user] Itzi output: several questions

[Laurent C.]

2017-03-13 10:31 GMT-06:00 Laurent C. <lrntct at gmail.com>:
> Copy of my off-list answer.
>
> 2017-03-13 10:30 GMT-06:00 Laurent C. <lrntct at gmail.com>:
>> Rich,
>>
>> Answers below.
>>
>> 2017-03-13 10:16 GMT-06:00 Rich Shepard <rshepard at appl-ecosys.com>:
>>>   One model run has completed and I have several questions for which I do
>>> not find answers in either the grass or itzi docs.
>>>
>>>   1.) g.gis.animation input can be raster, vector, or st?ds files. The
>>> output of the model is a set of 25 raster maps. Is there a strds for this
>>> output or do I list all 25 maps on the command line?
>>
>> At the end of the simulation, Itzï registers the created maps into strds.
>> So yes, you should have a strds created.
>>
>>>   And, can I overlay this animation on vector maps that provide context? If
>>> so, where do I read how to do this?
>>
>> You can add several layers to g.gui.animation, including vector maps.
>>
>>>
>>>   2.) The individual water depth output maps are transparent; that is, I can
>>> overlay them on a vector DEM contour map and see the contours underneath the
>>> raster file. The maximum water output file (open_h_max) is opaque; it covers
>>> the underlying vector contour map. Can it be made transparent?
>>
>> In the individual water depth maps, only water levels above hmin are reported.
>> If you want the same effect for the maximum level map, you can use the
>> if() of r.mapcalc to set a threshold.
>>
>>>   3.) Precipitation input is in mm/hr but the output water depth map is in
>>> meters (see water_h_max.png attached). However, it is not possible for there
>>> to be cells with 3m of water based on the input data. How can I obtain
>>> output surface water depths in mm or cm?
>>
>> The water level of 3m seems to be due to accumulation on the edge of the domain.
>> The water flows according to topography. If there is a lower point
>> without an exit, there will be an accumulation of water.
>> If you want a map in cm or mm, you can convert it using r.mapcalc.

Additionally, you can check the statistics CSV file to see if there is
any numerical instability that could artificially create volume.

Laurent

>>
>> Regards,
>> Laurent
>>
>>>
>>> TIA,
>>>
>>> Rich
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