2007
DOI: 10.1029/2007gl029245
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Probabilistic risk analysis in subsurface hydrology

Abstract: [1] We present a general framework for probabilistic risk assessment (PRA) of subsurface contamination. PRA provides a natural venue for the rigorous quantification of structural (model) and parametric uncertainties inherent in predictions of subsurface flow and transport. A typical PRA starts by identifying relevant components of a subsurface system (e.g., a buried solid-waste tank, an aquitard, a remediation effort) and proceeds by using uncertainty quantification techniques to estimate the probabilities of … Show more

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Cited by 99 publications
(100 citation statements)
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“…In this section we illustrate this approach for simplicity and completeness. Additional details about this methodology can be found in Tartakovsky (2007). For each event, we specify a number of sub-events following two models: (1) if any sub-event occurs, then the event will also occur, thus equivalent to an "OR" operator in Boolean logic; (2) all sub-events must occur for the event to Not enough water or quantity (QUAT): low water quality (physical, chemical, and biological), water scarcity (climate, river regulation, waste water treatment plant (WWTP) failure, quantity recharged does not reach some target value that makes it economically feasible ) and clogging (physical, biological, and chemical) water available does not reach the quality standards needed to allow it to be used in the recharge facility.…”
Section: Probabilistic Representation Of the Fault Treementioning
confidence: 99%
“…In this section we illustrate this approach for simplicity and completeness. Additional details about this methodology can be found in Tartakovsky (2007). For each event, we specify a number of sub-events following two models: (1) if any sub-event occurs, then the event will also occur, thus equivalent to an "OR" operator in Boolean logic; (2) all sub-events must occur for the event to Not enough water or quantity (QUAT): low water quality (physical, chemical, and biological), water scarcity (climate, river regulation, waste water treatment plant (WWTP) failure, quantity recharged does not reach some target value that makes it economically feasible ) and clogging (physical, biological, and chemical) water available does not reach the quality standards needed to allow it to be used in the recharge facility.…”
Section: Probabilistic Representation Of the Fault Treementioning
confidence: 99%
“…Section 3 contains a derivation of our general approach, which enables one to express solute breakthrough curves (BTCs) at a control plane and their temporal moments in terms of the statistics of uncertain hydraulic conductivity and reaction rate constants. The approach results in closed-form analytical expressions, which makes it suitable for both parameter identification procedures (inverse modelling) and probabilistic risk assessment (Tartakovsky 2007). In §4, we demonstrate the salient features of the general approach by applying it to transport of solutes undergoing bimolecular chemical reactions.…”
Section: Introductionmentioning
confidence: 99%
“…In the context of climate change, taking into account the uncertainty affecting hydrological parameters is even more important to make accurate predictions. In general, uncertainties are linked to (i) the incomplete knowledge of system dynamics (epistemic uncertainty), and (ii) the randomness which is inherent to natural phenomena (aleatory uncertainty) [30,31]. This uncertainty, propagating towards the state variables of interest through a selected analytical or numerical model, has to be properly considered in a probabilistic framework.…”
Section: Introductionmentioning
confidence: 99%