Exemplo n.º 1
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    def setUp(self):
        """
        """
        self.npd_as_list = [
            models.NodalPlane(0.5, 0., 90., 0.),
            models.NodalPlane(0.5, 90., 90., 180.)
        ]
        self.npd_as_pmf = PMF([(0.5, NodalPlane(0., 90., 0.)),
                               (0.5, NodalPlane(90., 90., 180.))])

        self.npd_as_pmf_bad = PMF([(0.5, None),
                                   (0.5, NodalPlane(90., 90., 180.))])
Exemplo n.º 2
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    def test_raises_useful_error(self):
        # Test that the source id and name are included with conversion errors,
        # to help the users deal with problems in their source models.
        area_geom = nrml_models.AreaGeometry(
            wkt='POLYGON((0.0 0.0, 1.0 0.0, 0.0 0.0 ))',
            upper_seismo_depth=0.0,
            lower_seismo_depth=10.0,
        )
        area_mfd = nrml_models.IncrementalMFD(
            min_mag=6.55,
            bin_width=0.1,
            occur_rates=[
                0.0010614989, 8.8291627E-4, 7.3437777E-4, 6.108288E-4,
                5.080653E-4
            ],
        )
        area_npd = [
            nrml_models.NodalPlane(probability=decimal.Decimal("0.3"),
                                   strike=0.0,
                                   dip=90.0,
                                   rake=0.0),
            nrml_models.NodalPlane(probability=decimal.Decimal("0.7"),
                                   strike=90.0,
                                   dip=45.0,
                                   rake=90.0),
        ]
        area_hdd = [
            nrml_models.HypocentralDepth(probability=decimal.Decimal("0.5"),
                                         depth=4.0),
            nrml_models.HypocentralDepth(probability=decimal.Decimal("0.5"),
                                         depth=8.0),
        ]
        area_src = nrml_models.AreaSource(
            id='1',
            name='Quito',
            trt='Active Shallow Crust',
            geometry=area_geom,
            mag_scale_rel='PeerMSR',
            rupt_aspect_ratio=1.5,
            mfd=area_mfd,
            nodal_plane_dist=area_npd,
            hypo_depth_dist=area_hdd,
        )

        with self.assertRaises(Exception) as ar:
            source_input.nrml_to_hazardlib(area_src, MESH_SPACING, BIN_WIDTH,
                                           AREA_SRC_DISC)
        expected_error = (
            "The following error has occurred with source id='1', "
            "name='Quito': Could not create geometry because of errors while "
            "reading input.")
        self.assertEqual(expected_error, ar.exception.message)
Exemplo n.º 3
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def render_npd(nodal_plane_dist, use_default=False):
    '''
    Checks to see if nodal plane distribution exists and renders to
    an instances of the class openquake.nrmllib.models.NodalPlane

    :param nodal_plane_dist:
        Nodal plane distribution of a source as either an instance of
        :class: openquake.nrmllib.models.NodalPlane or
        :class: openquake.hazardlib.pmf.PMF

    :param bool use_default:
        Boolean flag to opt to use defaults (True) or not. If set to False
        then ValueError will be raised if information is missing

    :returns:
        List of instances of openquake.nrmllib.models.NodalPlane
    '''
    if isinstance(nodal_plane_dist, list):
        for npd in nodal_plane_dist:
            assert isinstance(npd, models.NodalPlane)
        return nodal_plane_dist

    elif isinstance(nodal_plane_dist, PMF):
        # Create an instance of openquak.nrmllib.models.NodalPlane
        prob_sum = Decimal('0.0')
        output_npd = []
        for (prob, value) in nodal_plane_dist.data:
            prob_sum += Decimal(str(prob))
            if not isinstance(value, NodalPlane):
                raise ValueError('Nodal Planes incorrectly formatted!')

            output_npd.append(
                models.NodalPlane(Decimal(str(prob)),
                                  strike=value.strike,
                                  dip=value.dip,
                                  rake=value.rake))
        if not prob_sum == Decimal('1.0'):
            raise ValueError('Nodal Plane probabilities do not sum to 1.0')

        return output_npd
    else:
        if use_default:
            # Use a default nodal plane with strike 0, dip 90 and rake 0.
            return [
                models.NodalPlane(Decimal('1.0'), strike=0., dip=90., rake=0.)
            ]
        else:
            raise ValueError('Nodal Plane distribution not defined')
Exemplo n.º 4
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    def write_to_nrml(self,
                      output_filename,
                      mmin,
                      upper_depth=0.,
                      lower_depth=50.,
                      source_model_name="POINT SOURCE MODEL",
                      trt=DEFAULT_TRT,
                      msr=DEFAULT_MSR,
                      aspect=ASPECT_RATIO,
                      hdd=None):
        """
        Converts the smoothed seismicity data to a set of oq-nrml point
        sources and writes to the output file
        """
        writer = SourceModelXMLWriter(output_filename)
        source_model = models.SourceModel(source_model_name)
        source_model.sources = []

        print 'Building source model ...'
        for iloc, row in enumerate(self.data):
            # Geometry
            #trt =(row[18])

            geom = models.PointGeometry(
                "POINT (%9.4f %9.4f)" % (row[0], row[1]), upper_depth,
                lower_depth)
            if hdd:
                src_hdd = []
                #each tuple with probality and depth
                for d in hdd:
                    src_hdd.append(models.HypocentralDepth(d[1], d[0]))
            else:
                src_hdd = [models.HypocentralDepth(Decimal("1.0"), row[2])]

            npd = [models.NodalPlane(1, 0, 90, 0)]
            #if row[5]==1:
            #    npd = [models.NodalPlane(row[6], row[7], row[9], row[8])]
            #elif row[5] ==2:
            #    npd = [models.NodalPlane(row[6], row[7], row[9], row[8]), models.NodalPlane(row[10], row[11], row[13], row[12])]
            #else:
            #    npd =  [models.NodalPlane(row[6], row[7], row[9], row[8]), models.NodalPlane(row[10], row[11], row[13], row[12]), models.NodalPlane(row[14], row[15], row[17], row[16])]

            source_model.sources.append(
                models.PointSource(str(iloc), "PNT_%s" % str(iloc), trt,
                                   geom, msr, aspect,
                                   self.get_mfd(iloc, row,
                                                mmin), npd, src_hdd))
        print 'done!'
        print 'Writing to file ...'
        writer.serialize(source_model)
        print 'done!'
Exemplo n.º 5
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    def setUp(self):
        self.area_source_attrib = dict(
            id='1',
            name='source A',
            trt='Active Shallow Crust',
            geometry=nrml_models.AreaGeometry(
                upper_seismo_depth=10,
                lower_seismo_depth=20,
                wkt=('POLYGON((1.0 1.0, 1.0 -1.0, -1.0 -1.0, -1.0 1.0, '
                     '1.0 1.0))'),
            ),
            mag_scale_rel='WC1994',
            rupt_aspect_ratio=1.0,
            mfd=None,
            nodal_plane_dist=[
                nrml_models.NodalPlane(probability=1.0,
                                       strike=0.0,
                                       dip=90.0,
                                       rake=0.0)
            ],
            hypo_depth_dist=[
                nrml_models.HypocentralDepth(probability=1.0, depth=10.0)
            ],
        )

        self.expected = []
        lons = [
            -0.100677001712, 0.798645996576, -0.100591068089, 0.798817863822
        ]
        lats = [
            0.100830691185, 0.100830691185, -0.798490914733, -0.798490914733
        ]
        for i, (lon, lat) in enumerate(zip(lons, lats)):
            point_attrib = self.area_source_attrib.copy()
            del point_attrib['geometry']
            point_attrib['id'] = '1-%s' % i
            point_attrib['name'] = 'source A-%s' % i

            pt_source = nrml_models.PointSource(**point_attrib)
            pt_source.geometry = nrml_models.PointGeometry(
                upper_seismo_depth=10,
                lower_seismo_depth=20,
                wkt='POINT(%s %s)' % (lon, lat),
            )
            self.expected.append(pt_source)
Exemplo n.º 6
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    def _parse_nodal_plane_dist(cls, src_elem):
        """
        :param src_elem:
            :class:`lxml.etree._Element` instance representing a source.
        :returns:
            `list` of :class:`openquake.nrmllib.models.NodalPlane` objects.
        """
        npd = []

        for elem in _xpath(src_elem, './/nrml:nodalPlane'):
            nplane = models.NodalPlane()
            nplane.probability = decimal.Decimal(elem.get('probability'))
            nplane.strike = float(elem.get('strike'))
            nplane.dip = float(elem.get('dip'))
            nplane.rake = float(elem.get('rake'))

            npd.append(nplane)

        return npd
Exemplo n.º 7
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    def _parse_nodal_plane_dist(cls, src_elem):
        """
        :param src_elem:
        :class:`lxml.etree._Element` instance representing a source.
        :returns:
            `list` of :class:`openquake.nrmllib.models.NodalPlane` objects.
        """
        npd = []
        value_set = False
        for elem in _xpath(src_elem, './/nrml:nodalPlane'):
            nplane = models.NodalPlane()
            if elem.get('probability'):
                nplane.probability = decimal.Decimal(elem.get('probability'))

            for attribute in ['strike', 'dip', 'rake']:
                if elem.get(attribute):
                    setattr(nplane, attribute, float(elem.get(attribute)))
                    value_set = True

            npd.append(nplane)
        if value_set:
            return npd
        else:
            return None
Exemplo n.º 8
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"""
import argparse
import numpy as np
from decimal import Decimal
from openquake.nrmllib import models
from openquake.nrmllib.hazard.writers import SourceModelXMLWriter

DEFAULT_MSR = "WC1994"
DEFAULT_TRT = "Active Shallow Crust"
ASPECT_RATIO = 1
MIN_MAGNITUDE = 4
DEFAULT_RAKE = 0.

#Probability, Strike, Dip, Rake
NODAL_PLANES = [
    models.NodalPlane(Decimal("0.25"), 0., 90., DEFAULT_RAKE),
    models.NodalPlane(Decimal("0.25"), 45., 90., DEFAULT_RAKE),
    models.NodalPlane(Decimal("0.25"), 90., 90., DEFAULT_RAKE),
    models.NodalPlane(Decimal("0.25"), 135., 90., DEFAULT_RAKE)
]


class SmoothedSeismicity2Nrml(object):
    """
    Converts hmtk smoothed seismicity output to OQ Point Source Model
    """
    def __init__(self, input_filename, bvalue=None, mmax=None):
        """
        """
        self.data = np.genfromtxt(input_filename,
                                  delimiter=',',
Exemplo n.º 9
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    def _expected_source_model(cls):
        # Area:
        area_geom = models.AreaGeometry(
            wkt=('POLYGON((-122.5 37.5, -121.5 37.5, -121.5 38.5, -122.5 38.5,'
                 ' -122.5 37.5))'),
            upper_seismo_depth=0.0,
            lower_seismo_depth=10.0,
        )
        area_mfd = models.IncrementalMFD(
            min_mag=6.55,
            bin_width=0.1,
            occur_rates=[
                0.0010614989, 8.8291627E-4, 7.3437777E-4, 6.108288E-4,
                5.080653E-4
            ],
        )
        area_npd = [
            models.NodalPlane(probability=decimal.Decimal("0.3"),
                              strike=0.0,
                              dip=90.0,
                              rake=0.0),
            models.NodalPlane(probability=decimal.Decimal("0.7"),
                              strike=90.0,
                              dip=45.0,
                              rake=90.0),
        ]
        area_hdd = [
            models.HypocentralDepth(probability=decimal.Decimal("0.5"),
                                    depth=4.0),
            models.HypocentralDepth(probability=decimal.Decimal("0.5"),
                                    depth=8.0),
        ]
        area_src = models.AreaSource(
            id='1',
            name='Quito',
            trt='Active Shallow Crust',
            geometry=area_geom,
            mag_scale_rel='PeerMSR',
            rupt_aspect_ratio=1.5,
            mfd=area_mfd,
            nodal_plane_dist=area_npd,
            hypo_depth_dist=area_hdd,
        )

        # Point:
        point_geom = models.PointGeometry(
            wkt='POINT(-122.0 38.0)',
            upper_seismo_depth=0.0,
            lower_seismo_depth=10.0,
        )
        point_mfd = models.TGRMFD(
            a_val=-3.5,
            b_val=1.0,
            min_mag=5.0,
            max_mag=6.5,
        )
        point_npd = [
            models.NodalPlane(probability=decimal.Decimal("0.3"),
                              strike=0.0,
                              dip=90.0,
                              rake=0.0),
            models.NodalPlane(probability=decimal.Decimal("0.7"),
                              strike=90.0,
                              dip=45.0,
                              rake=90.0),
        ]
        point_hdd = [
            models.HypocentralDepth(probability=decimal.Decimal("0.5"),
                                    depth=4.0),
            models.HypocentralDepth(probability=decimal.Decimal("0.5"),
                                    depth=8.0),
        ]
        point_src = models.PointSource(
            id='2',
            name='point',
            trt='Stable Continental Crust',
            geometry=point_geom,
            mag_scale_rel='WC1994',
            rupt_aspect_ratio=0.5,
            mfd=point_mfd,
            nodal_plane_dist=point_npd,
            hypo_depth_dist=point_hdd,
        )

        # Simple:
        simple_geom = models.SimpleFaultGeometry(
            wkt='LINESTRING(-121.82290 37.73010, -122.03880 37.87710)',
            dip=45.0,
            upper_seismo_depth=10.0,
            lower_seismo_depth=20.0,
        )
        simple_mfd = models.IncrementalMFD(
            min_mag=5.0,
            bin_width=0.1,
            occur_rates=[
                0.0010614989, 8.8291627E-4, 7.3437777E-4, 6.108288E-4,
                5.080653E-4
            ],
        )
        simple_src = models.SimpleFaultSource(
            id='3',
            name='Mount Diablo Thrust',
            trt='Active Shallow Crust',
            geometry=simple_geom,
            mag_scale_rel='WC1994',
            rupt_aspect_ratio=1.5,
            mfd=simple_mfd,
            rake=30.0,
        )

        # Complex:
        complex_geom = models.ComplexFaultGeometry(
            top_edge_wkt=('LINESTRING(-124.704 40.363 0.5493260E+01, '
                          '-124.977 41.214 0.4988560E+01, '
                          '-125.140 42.096 0.4897340E+01)'),
            bottom_edge_wkt=('LINESTRING(-123.829 40.347 0.2038490E+02, '
                             '-124.137 41.218 0.1741390E+02, '
                             '-124.252 42.115 0.1752740E+02)'),
            int_edges=[
                ('LINESTRING(-124.704 40.363 0.5593260E+01, '
                 '-124.977 41.214 0.5088560E+01, '
                 '-125.140 42.096 0.4997340E+01)'),
                ('LINESTRING(-124.704 40.363 0.5693260E+01, '
                 '-124.977 41.214 0.5188560E+01, '
                 '-125.140 42.096 0.5097340E+01)'),
            ])
        complex_mfd = models.TGRMFD(a_val=-3.5,
                                    b_val=1.0,
                                    min_mag=5.0,
                                    max_mag=6.5)
        complex_src = models.ComplexFaultSource(
            id='4',
            name='Cascadia Megathrust',
            trt='Subduction Interface',
            geometry=complex_geom,
            mag_scale_rel='WC1994',
            rupt_aspect_ratio=2.0,
            mfd=complex_mfd,
            rake=30.0,
        )

        # 3 Characteristic Sources:
        char_src_simple = models.CharacteristicSource(
            id='5',
            name='characteristic source, simple fault',
            trt='Volcanic',
            mfd=models.TGRMFD(a_val=-3.5, b_val=1.0, min_mag=5.0, max_mag=6.5),
            rake=30.0,
            surface=simple_geom)

        char_src_complex = models.CharacteristicSource(
            id='6',
            name='characteristic source, complex fault',
            trt='Volcanic',
            mfd=models.IncrementalMFD(
                min_mag=5.0,
                bin_width=0.1,
                occur_rates=[
                    0.0010614989, 8.8291627E-4, 7.3437777E-4, 6.108288E-4,
                    5.080653E-4
                ],
            ),
            rake=60.0,
            surface=complex_geom)

        char_src_multi = models.CharacteristicSource(
            id='7',
            name='characteristic source, multi surface',
            trt='Volcanic',
            mfd=models.TGRMFD(a_val=-3.6, b_val=1.0, min_mag=5.2, max_mag=6.4),
            rake=90.0)
        psurface_1 = models.PlanarSurface(
            strike=0.0,
            dip=90.0,
            top_left=models.Point(longitude=-1.0, latitude=1.0, depth=21.0),
            top_right=models.Point(longitude=1.0, latitude=1.0, depth=21.0),
            bottom_left=models.Point(longitude=-1.0, latitude=-1.0,
                                     depth=59.0),
            bottom_right=models.Point(longitude=1.0, latitude=-1.0,
                                      depth=59.0),
        )
        psurface_2 = models.PlanarSurface(
            strike=20.0,
            dip=45.0,
            top_left=models.Point(longitude=1.0, latitude=1.0, depth=20.0),
            top_right=models.Point(longitude=3.0, latitude=1.0, depth=20.0),
            bottom_left=models.Point(longitude=1.0, latitude=-1.0, depth=80.0),
            bottom_right=models.Point(longitude=3.0, latitude=-1.0,
                                      depth=80.0),
        )
        char_src_multi.surface = [psurface_1, psurface_2]

        source_model = models.SourceModel()
        source_model.name = 'Some Source Model'
        # Generator:
        source_model.sources = (x for x in [
            area_src, point_src, simple_src, complex_src, char_src_simple,
            char_src_complex, char_src_multi
        ])
        return source_model
Exemplo n.º 10
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                  trt = "stable crust", 
                  geometry = geo.Polygon([geo.Point(-58.73, -10.33),
                                          geo.Point(-58.74, -13.54),
                                          geo.Point(-55.94, -13.59), 
                                          geo.Point(-56.58, -10.31),
                                          geo.Point(-58.73, -10.33)]), 
                  upper_depth = "0", 
                  lower_depth = "30", 
                  mag_scale_rel = "WC1994", # default 
                  rupt_aspect_ratio = 1, 
                  mfd = models.TGRMFD(min_mag=3.0,
                                      max_mag=7.0, 
                                      b_val=0.847, 
                                      a_val=0.737), 
                  nodal_plane_dist = models.NodalPlane(Decimal('1.0'), 
                                                       strike=0., 
                                                       dip=90.,
                                                       rake=0.), 
                  hypo_depth_dist = None)

#a.create_oqnrml_source

s = source_model.mtkSourceModel(identifier="09", 
                                        name = "sources model name", 
                                        sources = [a])

s.serialise_to_nrml(filename = "s03.xml", 
                    use_defaults = True)



#