Study 15.12 Data Products

From SCECpedia
Jump to navigationJump to search

Hazard Maps

Below are hazard maps from Study 15.12 (150 ppi).

Basic Maps

0.2 sec geometric mean
0.2 sec geometric mean hazard map, all sites
0.2 sec geometric mean hazard map, all sites, marked
0.2 sec 2008 NGA basemap
0.5 sec geometric mean
0.5 sec geometric mean hazard map, all sites
0.5 sec geometric mean hazard map, all sites, marked
0.2 sec 2008 NGA basemap
1 sec geometric mean
1 sec geometric mean hazard map, all sites
1 sec geometric mean hazard map, all sites, marked
0.2 sec 2008 NGA basemap
2 sec geometric mean
2 sec geometric mean hazard map, all sites
2 sec geometric mean hazard map, all sites, marked
3 sec geometric mean
3 sec geometric mean hazard map, all sites
3 sec geometric mean hazard map, all sites, marked
5 sec geometric mean
5 sec geometric mean hazard map, all sites
5 sec geometric mean hazard map, all sites, marked
10 sec geometric mean
10 sec geometric mean hazard map, all sites
10 sec geometric mean hazard map, all sites, marked

Comparison Maps

2 sec 3 sec 5 sec 10 sec
Difference
Study 15.12 vs Study 15.4, 2 sec geometric mean, difference map. Warm colors are higher Study 15.12.
Study 15.12 vs Study 15.4, 3 sec geometric mean, difference map. Warm colors are higher Study 15.12.
Study 15.12 vs Study 15.4, 5 sec geometric mean, difference map. Warm colors are higher Study 15.12.
Study 15.12 vs Study 15.4, 10 sec geometric mean, difference map. Warm colors are higher Study 15.12.
Ratio
Study 15.12 vs Study 15.4, 2 sec geometric mean, ratio map. Warm colors are higher Study 15.12.
Study 15.12 vs Study 15.4, 3 sec geometric mean, ratio map. Warm colors are higher Study 15.12.
Study 15.12 vs Study 15.4, 5 sec geometric mean, ratio map. Warm colors are higher Study 15.12.
Study 15.12 vs Study 15.4, 10 sec geometric mean, ratio map. Warm colors are higher Study 15.12.

Comparison with NGA results

We would expect the stochastic results to show reasonably good agreement with the deterministic results, but they do not. Here are some data products to investigate this. We've chosen 3 sites with large differences (MRVY, s028, LAPD) and 2 we're familiar with (PAS, USC).

NGA-2 curve comparisons

We replotted the curves using NGA-2s (instead of NGA-1) for comparison, and RotD50.

Site 0.5 sec 0.2 sec
USC
USC Run4384 NGA2 0.5sec RotD50.png
USC Run4384 NGA2 0.2sec RotD50.png
PAS
PAS Run4282 NGA2 0.5sec RotD50.png
PAS Run4282 NGA2 0.2sec RotD50.png
MRVY
MRVY Run4328 NGA2 0.5sec RotD50.png
MRVY Run4328 NGA2 0.2sec RotD50.png
s028
S028 Run4422 NGA2 0.5sec RotD50.png
S028 Run4422 NGA2 0.2sec RotD50.png
LAPD
LAPD Run4294 NGA2 0.5sec RotD50.png
LAPD Run4294 NGA2 0.2sec RotD50.png

Changing RVSIG

We reran PAS using rvsig1 = 0.1; comparison curves are below.

Blue: rvsig1=0.1, black: rvisg1=-1.0
Blue: rvsig1=0.1, black: rvisg1=-1.0

Disaggregations

We did disaggregations for CyberShake and the 4 NGA-2s at 0.5 sec and 0.2 sec, at prob=1e-4. Below are images for each, along with the top 5 contributing sources:

Data Source 0.5 sec value at prob=4e-4 0.5 sec plot 0.5 sec contributors 0.2 sec value at prob=4e-4 0.2 sec plot 0.2 sec contributors
CyberShake 1.08g
PAS Run4282 Disagg 4e-4 0.5sec CyberShake.png
47.0% Verdugo (source 283)
 23.4% Elysian Park (Upper) (source 158)
 12.5% Raymond (source 247)
 10.6% Puente Hills (LA) (source 244)
  5.9% Puente Hills (source 242)
PAS Run4282 Disagg 4e-4 0.2sec CyberShake.png
ASK2014 1.24g
PAS Run4282 Disagg 4e-4 0.5sec ASK2014.png
PAS Run4282 Disagg 4e-4 0.2sec ASK2014.png
BSSA2014 1.51g
PAS Run4282 Disagg 4e-4 0.5sec BSSA2014.png
PAS Run4282 Disagg 4e-4 0.2sec BSSA2014.png
CB2014 1.59g
PAS Run4282 Disagg 4e-4 0.5sec CB2014.png
PAS Run4282 Disagg 4e-4 0.2sec CB2014.png
CY2014 1.65g
PAS Run4282 Disagg 4e-4 0.5sec CY2014.png
PAS Run4282 Disagg 4e-4 0.2sec CY2014.png