Bayesian Model Calibration using Structural Reliability Methods: Application to the Hydrological abc Model

TRRP Training: 2022 Program

presented by: GSI Environmetal Inc.

Texas Risk Reduction Program regulations (TRRP; 30 TAC 350) establish consistent risk-based protocols for assessment and response to soil, groundwater, or surface water impacts associated with environmental releases of regulated wastes or substances.

Presented by GSI Environmental Inc., this popular and informative training series is a must for professionals who need a working understanding of TRRP and those needing to stay up-to-date with the latest TCEQ TRRP guidance and policies.

TRRP Training Course (2 Days): Provides an overview of the TRRP framework and step-by-step training on property assessment and response action procedures established under the TRRP rule

Attendees will become acquainted with rules, key guidance and policies covering affected property assessments, protective concentration levels, and response actions. The course material presents strategies for efficient project management in compliance with TRRP and explains the various report forms adopted by TCEQ.

TAEP image

Sponsored by: ​
Texas Association of Environmental Professionals (TAEP) TAEP is the premier organization for environmental professionals in the State of Texas. The goals of TAEP include the advancement of the environmental profession and the establishment of a forum to discuss important environmental issues. TAEP members receive a 10% discount. Please call 713.522.6300 for the code.

Dates and Location

Dates

June 14th and 15th, 2022

Location

Crowne Plaza River Oaks 2712 SW Freeway Houston, Texas 77098 713.523.8448 http://www.crowneplaza.com/

Price and Registration

Early-Bird Price

(Paid by May 1, 2022)
$XXX

Standard Price

(Paid after May 1, 2022)
$XXX

TAEP Membership Price

$XXX

Government Price

$XXX
Lodging and meals are not
included in course cost
REGISTER HERE

Authors: W. Betz, Chin Man Mok, Iason Papaioannou, D. Straub

Published: June 2014 in ASCE Journal of Environmental Engineering volume 0 pages 2734-2743.

Abstract
Bayesian updating using structural reliability methods (BUS) is applied to calibrate the simple hydrological abc model to observations of a hypothetical real world case. The assumed hypothetical real world is chosen such that the abc model cannot represent it perfectly. The likelihood function is expressed in terms of the measurement error and the modeling error. The probability distributions of both errors are only approximate, due to a lack of knowledge about the true behavior. The correlation structure of the modeling error is regarded as partially uncertain and inferred in the updating process. It is highlighted that under the presence of modeling errors, the predictive distribution of the model output is not the same as the predictive distribution of the true discharge.