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Configuration
A config.json
file resides at the root of every source model.
This file supplies model initialization and default calculation configuration parameters; see the examples directory, or any USGS model, for examples.
The file must be composed of well-formed JSON. Why JSON?
Model initialization parameters must be supplied; there are no default values. In addition, these parameters may not be overridden once a model has been initialized in memory. However, one can configure parts of a model differently, for example.
Parameter | Type | Notes |
---|---|---|
model |
||
.name
|
String |
|
.surfaceSpacing
|
Double |
(in km) |
.ruptureFloating
|
String |
RuptureFloating |
.ruptureVariability
|
Boolean |
|
.pointSourceType
|
String |
PointSourceType |
.areaGridScaling
|
String |
AreaSource.GridScaling |
Calculation configuration parameters are optional (i.e. defaults are used for missing values) and overridable. Please see building and running and the examples for details on how to override a calculation configuration.
Parameter | Type | Default | Notes |
---|---|---|---|
hazard
|
|||
.exceedanceModel
|
String |
TRUNCATION_UPPER_ONLY |
ExceedanceModel |
.truncationLevel
|
Double |
3.0 |
|
.imts
|
String[] |
[ PGA, SAOP2, SA1P0 ] |
Imt |
.defaultImls
|
Double[] |
PGA, SA = [ 0.0025, 0.0045, 0.0075, 0.0113, 0.0169, 0.0253, 0.0380, 0.0570, 0.0854, 0.128, 0.192, 0.288, 0.432, 0.649, 0.973, 1.46, 2.19, 3.28, 4.92, 7.38 ] PGV = [ 0.0100, 0.0177, 0.0312, 0.0552, 0.0976, 0.173, 0.305, 0.539, 0.953, 1.68, 2.98, 5.26, 9.30, 16.4, 29.1, 51.3, 90.8, 160, 284, 501 ]
|
|
.customImls
|
Map<String, Double[]> |
empty | example |
.gmmUncertainty
|
Boolean |
false |
1️⃣ |
.valueFormat
|
String |
ANNUAL_RATE |
ValueFormat |
deagg
|
2️⃣ | ||
.bins
|
Object |
||
.contributorLimit
|
Double |
0.1 |
|
rate
|
|||
.bins
|
Object |
3️⃣ | |
.distance
|
Double |
20 km |
|
.distributionFormat
|
String |
INCREMENTAL |
DistributionFormat |
.timespan
|
Double |
30 years |
|
.valueFormat
|
String |
ValueFormat |
|
site
|
|||
.vs30
|
Double |
760.0 |
Site |
.vsInferred
|
Boolean |
true |
|
.z1p0
|
Double |
null or NaN
|
4️⃣ |
.z2p5
|
Double |
null or NaN
|
4️⃣ |
output
|
|||
.directory
|
String |
hazout |
|
.dataTypes
|
String[] |
[ TOTAL ] |
DataType |
performance
|
|||
.optimizeGrids
|
Boolean |
true |
6️⃣ |
.collapseMfds
|
Boolean |
true |
7️⃣ |
.systemPartition
|
Integer |
1000 |
8️⃣ |
.threadCount
|
String |
ALL |
ThreadCount |
If values for additional epistemic uncertainty on ground motion have been defined, this value en/disables this feature.
The deagg.bins
field is mapped to a data container that specifies the following default ranges and intervals for distance, magnitude, and epsilon binning:
"bins": {
"rMin": 0.0,
"rMax": 200.0,
"Δr": 10.0,
"mMin": 5.0,
"mMax": 8.4,
"Δm": 0.2,
"εMin": -3.0,
"εMax": 3.0,
"Δε": 0.5
}
The bins
object must be fully specified; partial overrides do not apply to nested JSON objects.
contributorLimit
specifies the cutoff (in %) below which contributing sources are not listed in deaggregation results.
The rate.bins
field is mapped to a data container that specifies the following default magnitude binning range and interval:
"bins": {
"mMin": 4.2,
"mMax": 9.4,
"Δm": 0.1
}
The bins
object must be fully specified; partial overrides do not apply to nested JSON objects.
Basin terms may be specified as null
or NaN
(both unquoted). null
is preferred as NaN
does not conform to the JSON spec. When trying to override default values, however, a null
term will be ignored whereas NaN
will override any existing value.
The number of results to write at a time. More memory is required for higher limits.
Grid optimizations are currently implemented for any non-fixed strike grid source. For any site, rates across all azimuths are aggregated in tables of distance and magnitude.
Some magnitude-frequency distribution logic-trees can be combined. This is currently always true
.
The number of ruptures in a fault-system source to process concurrently.
Whereas sources are defined using XML, configuration files use JSON. Although one or the other formats could be used exclusively, each has unique characteristics and benefits. For instance, for long files, XML is somewhat more readable than JSON. It also permits comments inline, whereas JSON does not. Java has a built in support for writing highly performant XML parsers, and as there is not a 1:1 relationship between source model XML and resultant Java objects in nshmp-haz, it is a bit easier to work with. XML also permits a formal structure to be imposed, and although XML schema are not presently used, they may be in the future.
JSON, on the other hand, is a very simple data exchange format designed with the web in mind. The values that govern calculation settings are most likely to be exposed via web services and the job of exchanging such data is much more straightforward using a format that maps natively to Javascript objects.
Next: Site Specification
U.S. Geological Survey – National Seismic Hazard Mapping Project (NSHMP)