Difference between revisions of "UCVM sfcvm geomodelgrid"
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{| | {| | ||
− | | [[FILE:sfcvm-sierra-region.png|thumb|400px| Sierra region]] | + | | [[FILE:sfcvm-sierra-gabbro-region2.png|thumb|400px| Sierra region]] |
+ | | [[FILE:sfcvm-sierra-no-region.png|thumb|400px| Sierra region]] | ||
+ | |} | ||
+ | |||
+ | <pre> | ||
+ | PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/share/anaconda2 | ||
+ | /condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ucvm_plotting plot_d | ||
+ | epth_profile.py -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -d vs,vp,density -c sfcvm -o ../ | ||
+ | result/UCVM_66661243_v.png -C 'San Francisco Bay Velocity Model' -v 100 -b 0 -s 36.9082,-119.4763 -e 30000</pre> | ||
+ | |||
+ | {| | ||
+ | | [[FILE:sfcvm-sierra-gabbro-depth.png|thumb|400px| gabbro processing depth profile]] | ||
+ | | [[FILE:sfcvm-sierra-no-depth.png|thumb|400px| no gabbro processing depth profile]] | ||
|} | |} | ||
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| [[FILE:sfcvm-sierra-gabbro-slice.png|thumb|400px| gabbro processing]] | | [[FILE:sfcvm-sierra-gabbro-slice.png|thumb|400px| gabbro processing]] | ||
| [[FILE:sfcvm-sierra-no-slice.png|thumb|400px| no gabbro processing]] | | [[FILE:sfcvm-sierra-no-slice.png|thumb|400px| no gabbro processing]] | ||
+ | |} | ||
+ | |||
+ | |||
+ | And.. | ||
+ | {| | ||
+ | | [[FILE:sfcvm-at-0m.png|thumb|400px| sfcvm at 0m]] | ||
|} | |} | ||
Latest revision as of 17:31, 10 April 2024
Contents
- 1 UCVM with SFCVM
- 2 SFCVM in UCVM
- 3 Plots from web viewer
- 4 New command line option for model specific configuration
- 5 More detailed plots from SFCVM
- 6 Detail plots from Cencal
- 7 High Velocity surface regions in SFCVM
- 8 SFCVM(detailed + regional regions) with Gabbro modification
- 9 Vertical Slice
- 10 More Study
- 11 With different grid step processing
- 12 With a Different step down processing
- 13 With minimum squashing elevation of 45000
- 14 fixed geomodelgrid's handling of zone-id
- 15 Under the water and near the water step-down search logic
- 16 Gabbro in Sierra
- 17 Baseline, original CENCAL
UCVM with SFCVM
Software stack for supporting geomodelgrid based format:
- curl (curl-7.87.0)
- hdf5 (hdf5-1.10.9)
- openssl (openssl-3.0.8)
- proj (proj-8.1.1)
- sqlite (sqlite-autoconf-3400100)
- tiff (tiff-4.5.0)
SFCVM in UCVM
geomodelgrid based SFCVM is set with
geomodelgrids_squery_setSquashing(sfcvm_geo_query_object, GEOMODELGRIDS_SQUASH_TOPOGRAPHY_BATHYMETRY); geomodelgrids_squery_setSquashMinElev(sfcvm_geo_query_object, SFCVM_SquashMinElev);
where SFCVM_SquashMinElev is default to -5000m (sfcvm is elevation based, depth is negative value)
NOTE: For locations that are below water, their geomodelgrids_squery_queryTopoBathyElevation() could return a NA value and so a grid height is added across the board to always have an usable value.
Plots from web viewer
New command line option for model specific configuration
UCVM option:
-P Optional model configuration(model_param:key,value)
Example:
ucvm_query -l 37.455000,-121.941,3000 -m sfcvm -f ../../conf/ucvm.conf -P sfcvm_param:SquashMinElev,-5000.0
Allows multiple -P options,
ucvm_query ... -P cvmh_param:USE_1D_BKG,False -P cvmh_param:USE_GTL,False
More detailed plots from SFCVM
Internal calls from web viewer, (set e to 0,100,1000,5000,6000)
PROJ_LIB=/usr/local/share/anaconda2/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/share/anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ucvm_plotting plot_horizontal_slice.py -d vs -c sfcvm -s 0.010 -a sd -o ../result/UCVM_15167424_h.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -b 36.5416,-123.8269 -u 38.8108,-120.6299 -e 0
Detail plots from Cencal
High Velocity surface regions in SFCVM
Horizontal region,
plot_horizontal_slice.py -d vs -c sfcvm,elygtl:taper -s 0.0005 -a sd -o ../result/UCVM_18933492_h.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -L 500,1700,1700 -z 0,700 -b 37.6021,-122.1711 -u 37.7922,-122.0021 -e 500 -A 0.0,4.0
with sfcvm (only detailed region)
with sfcvm,elygtl:taper (only detailed region)
with sfcvm,elygtl:taper -A 0,2 (only detailed region)
SFCVM(detailed + regional regions) with Gabbro modification
Upper San Leandro Gabbro region Map,
Rectangle horizontal box,
Lower Cross section,
Diagonal Cross section,
Depth Profile at the blue marker,
Comparing depth profile plot (red=no gabbro, blue=gabbro)
with Gabbro modification (full detailed +regional regions)
Vertical Slice
with sfcvm (detailed region)
plot_cross_section.py -s 0 -h 48 -d vs -c sfcvm,elygtl:taper -a sd -o ../result/UCVM_23820778_c.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -v 25 -L 500,1700,1700 -z 0,700 -b 37.7026,-122.1728 -u 37.701,-121.9984 -e 5000 -A 0.0,4.0
with sfcvm,elygtl:taper (detailed region)
More Study
SFCVM (detailed+regional)
With Water-Step1-Step2 modifications
surf = geomodelgrids_squery_queryTopoBathyElevation surf < 0: call geomodelgrids_squery_query with elevation= N if vs<0 || vp<0 call geomodelgrids_squery_query with elevation= N-25 (first step down grid height) if vs < 0 || vp < 0 call geomodelgrids_squery_query with elevation= N-125 (second step down grid height)
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin: /usr/local/share/anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ucvm_plotting plot_horizontal_slice.py -d vs -c sfcvm -s 0.010 -a sd -o ../result/UCVM_93552953_h.png -n ../model/UCVM_TARGET/conf/ucvm.con f -i ../model/UCVM_TARGET -b 34.5541,-126.9141 -u 41.4695,-117.9492 -e 0 -A 0,4
With Water-Step1-Step2-again modification
surf = geomodelgrids_squery_queryTopoBathyElevation surf < 0: call geomodelgrids_squery_query with elevation= N if vs<0 || vp<0 call geomodelgrids_squery_query with elevation= N-25 (first step down grid height) if vs < 0 || vp < 0 call geomodelgrids_squery_query with elevation= N-125 (second step down grid height) while ( vs < 0 || vp < 0 ) call geomodelgrids_squery_query with elevation= N-125-(25*step) until vs>0 && vp>0 || step > 100
With finer grid, grid step of 0.01
DONE: total query count=(622314) total gabbro count=(78) total water count=(89765) total water step count=(89180) total water loop count=(43286) max water loops =(57)
With different grid step processing
With grid step of 0.10
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin: /usr/local/share/anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ucvm_plotting plot_horizontal_slice.py -d vs -c sfcvm -s 0.10 -a sd -o ../result/UCVM_59976096_h.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -b 34.5541,-126.9141 -u 41.4695,-117.9492 -e 0 -A 0,4
Status result,
step count is the number of query that needed stepping down
max loops is the max number of looping a step-down query needed ie. there is a location that needs to go down to 125+(22*25) meters before finding a valid data
DONE: total query count=(6461) total gabbro count=(0) total water count=(894) total water step count=(890) total water loop count=(435) max water loops =(22)
With a Different step down processing
Using Squash Min Elevation of -45000.
surf = geomodelgrids_squery_queryTopoBathyElevation surf < 0: call geomodelgrids_squery_query with elevation= N if vs < 0 || vp < 0 call geomodelgrids_squery_query with elevation= N-25 (first step down grid height) if vs < 0 || vp < 0 cnt=1 while call geomodelgrids_squery_query with elevation= N-(125*cnt)(second step down grid height) if vs > 0 && vp > 0 // FOUND IT... TODO: additional backtrack processing else try again
total query count=(622314) total gabbro count=(82) total water count=(89765) total water step count=(89180) total water 2 step count=(69498) max water step =(10)
In the 2-step while loop, number of query to number of cnt 61482 done(1) 1 done(10) 7997 done(2) 11 done(3) 4 done(4) 1 done(5) 1 done(6) 1 done(8) ??? WATER: still bad : at -124.824100 40.314100 -127.914481 -- surface -1025.307276 zsquash -1150.307276 WATER: still bad : at -124.824100 40.314100 -255.828962 -- surface -1025.307276 zsquash -1275.307276 WATER: still bad : at -124.824100 40.314100 -383.743443 -- surface -1025.307276 zsquash -1400.307276 WATER: still bad : at -124.824100 40.314100 -511.657924 -- surface -1025.307276 zsquash -1525.307276 WATER: still bad : at -124.824100 40.314100 -639.572405 -- surface -1025.307276 zsquash -1650.307276 WATER: still bad : at -124.824100 40.314100 -767.486886 -- surface -1025.307276 zsquash -1775.307276 WATER: still bad : at -124.824100 40.314100 -895.401367 -- surface -1025.307276 zsquash -1900.307276 WATER: still bad : at -124.824100 40.314100 -1023.315849 -- surface -1025.307276 zsquash -2025.307276 WATER: still bad : at -124.824100 40.314100 -1151.230330 -- surface -1025.307276 zsquash -2150.307276 done(10) : at -124.824100 40.314100 -1279.144811 -- surface -1025.307276 zsquash -2275.307276 : previous_zsquash -2150.307276 previous_n_entry_elevation -1151.230330
For points with cnt of 3+
For point with cnt of 10
With minimum squashing elevation of 45000
double SFCVM_SquashMinElev=-45000.0
extended geomodelgrids c-api:
/** Query for model at point. * * @param[inout] handle Handle to query object. * @param[in] x X coordinate of point (in input CRS). * @param[in] y Y coordinate of point (in input CRS). * @returns model index at point. */ int geomodelgrids_squery_queryModelContains(void* handle, const double x, const double y);
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/share /anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ ucvm_plotting plot_horizontal_slice.py -d vs -c sfcvm -s 0.001 -a sd -o ../result/UCVM_72526857_h.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -b 37.3249,-122.6129 -u 38.2366,-121. 6187 -e 0
fixed geomodelgrid's handling of zone-id
fixed geomodelgrids' handling of interpolating all stored material properties including type-enumerated data like rock type.
Logic:
if data has no 'units', then use nearest data point if data has 'units', then interpolated with surrounding points
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/share/ anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/uc vm_plotting plot_horizontal_slice.py -d vs -c sfcvm -s 0.010 -a sd -o ../result/$FNAME.png -n ../model /UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -b 34.5541,-126.9141 -u 41.4695,-117.9492 -e 0 -A 0,4
plot_cross_section.py -s 0 -e 5000 -h 10 -d vs -c sfcvm -a sd -o ../result/UCVM_23820778_c.png -n ../model /UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -v 25 -b 37.78,-122.17 -u 37.80,-122.141 -A 1.0,4.0
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/share/anac onda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ucvm_plott ing plot_horizontal_slice.py -d vs -c sfcvm -s 0.0001 -a sd -o ../result/$FNAME.png -n ../model/UCVM_TARGE T/conf/ucvm.conf -i ../model/UCVM_TARGET -b 37.7784,-122.17 -u 37.7991,-122.14 -e 0 -A 1,4
Under the water and near the water step-down search logic
zSurf from geomodelgrids_squery_queryTopoBathyElevation, zSquashed is new squashed elevation make initial geomodelgrids_squery_query call, do step-down search iterations if (query failed and zSurf < 0) or if (zSquashed < zSurf || zSurf < 0) and (vp != NODATA) and (vs == NODATA)
Gabbro in Sierra
In regional area, zone_ids : "GV gabbro":3
From Brad, sfcvm's regional area
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/share/anaconda2 /condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TARGET/ucvm_plotting plot_d epth_profile.py -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -d vs,vp,density -c sfcvm -o ../ result/UCVM_66661243_v.png -C 'San Francisco Bay Velocity Model' -v 100 -b 0 -s 36.9082,-119.4763 -e 30000
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/sha re/anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TAR GET/ucvm_plotting plot_horizontal_slice.py -d vs -c sfcvm -s 0.010 -a sd -o ../result/$FNAME.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -b 36.5383,-122.234 -u 38.8162,-119.334 -e 0 -A 0,4
PROJ_LIB=../model/UCVM_TARGET/lib/proj/share/proj PATH=/usr/local/share/anaconda2/bin:/usr/local/sha re/anaconda2/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin PYTHONPATH=../model/UCVM_TAR GET/ucvm_plotting plot_cross_section.py -s 0 -h 1186 -d vs -c sfcvm -a sd -o ../result/$FNAME.png -n ../model/UCVM_TARGET/conf/ucvm.conf -i ../model/UCVM_TARGET -v 50 -b 37.0837,-121.2012 -u 37.0661,- 119.0698 -e 5000
And..