Earthquake#

module wntr.scenario.earthquake

class Earthquake[source]#

Bases: object

Earthquake scenario class.

DTGR(M, M_min, M_max, b)[source]#: Returns the the Doubly Truncated Gutenberg Richter cumulative probability for the specified magnitude, magnitude range, and coefficient.

DTGR_inv(P, M_min, M_max, b)[source]#: Returns the inverse of the Doubly Truncated Gutenberg Richter distribution for the specified probability, magnitude range, and coefficient.

__init__(epicenter, magnitude, depth)[source]#

correction_factor(pipe_characteristics, diameter_weight=None, material_weight=None, topography_weight=None, liquifaction_weight=None)[source]#

Correction factor, maps pipe characteristics to weights

Parameters:

pipe_characteristics (pd.DataFrame) – Pipe characteristics which includes diameter, material, topography, and liquifaction
diameter_weight (dict) – Weights, defaults based on Isoyama et al., 2000
material_weight (dict) – Weights, defaults based on Isoyama et al., 2000
topography_weight (dict) – Weights, defaults based on Isoyama et al., 2000
liquifaction_weight (dict) – Weights, defaults based on Isoyama et al., 2000

Return type:

A pandas Series with the correction factor

distance_to_epicenter(wn, element_type=<class 'wntr.network.base.Node'>)[source]#

Distance to the epicenter

Parameters:

wn (WaterNetworkModel)
element_type (optional (default = wntr.network.Node))

Return type:

A pandas Series with distance to epicenter (m)

pga_attenuation_model(R, method=None)[source]#

Peak ground acceleration attenuation models

Parameters:

R (pd.Series) – Distance to epicenter (m)
method (int (optional, default = None, average)) – 1 = Kawashima et al. (1984) 2 = Baag et al. (1998) 3 = Lee and Cho (2002)

Return type:

A pandas Series with peak ground acceleration (g)

pgv_attenuation_model(R, method=None)[source]#

Peak ground velocity attenuation models

Parameters:

R (pd.Series) – Distance to epicenter (m)
method (int (optional, default = None, average)) – 1 = Yu and Jin (2008) - Rock 2 = Yu and Jin (2008) - Soil

Return type:

A pandas Series with peak ground velocity (m/s)

repair_rate_model(PGV, C=1, method=1)[source]#

Calculate repair rate

Parameters:

PGV (pd.Series) – Peak ground velocity (m/s)
K (pd.Series) – Correction factor
method (int (default = 1)) – 1 = Linear 2 = Power

Return type:

A pandas Series with repair rate (number of repairs per m)

depth#: Earthquake depth, m

epicenter#: Earthquake epicenter, (x,y) tuple in meters

magnitude#: Earthquake magnitude, Richter scale