Deterministic and probabilistic approaches to geologic hazard assessment

2000 ◽  
Vol 6 (3) ◽  
pp. 209-226 ◽  
Author(s):  
William C. Haneberg

Abstract The occurrence of potentially hazardous geologic events such as landslides, rock falls, earthquakes, floods, and debris flows can be predicted using two fundamentally different approaches: deterministic and probabilistic. The most significant difference between the two approaches to geologic hazard assessment is whether a process is envisioned to be the result of an exact causal relationship or if some element of random behavior is assumed to be part of the system. Although the assumption of random behavior may seem self-defeating, it can provide a useful tool for the solution of important problems as long as the randomness can be quantified using statistical models. Each of these two methods can be approached either rationally (sing models derived from accepted physical or chemical principles) or empirically (by studying the occurrence of events without explicit regard to their driving mechanism). The complexity of the geologic process commonly dictates which approach is used for a particular problem, ranging from rational deterministic models for relatively simple systems such as small landslides to empirical probabilistic models for complicated processes such as floods and earthquakes. Examples of each type of model are discussed throughout the paper, primarily within the context of slope stability and the recurrence of extreme events such as floods.

Author(s):  
Sima Zarei ◽  
Peiman Ghaedi-Kajuei

In recent years, the world has had a phenomenal economic growth due to the acquisition of innovative technologies and globalization. In the meantime, electrical power plants are regarded as a fundamental element in industrial and production, and any deficiency in supplying may lead to significant financial detriment. Regard to the deep dependency of modern lifestyle to electricity, providing a high-quality and reliable electricity for consumers has taken on paramount importance. The reliability of a power plant depends on the configuration of elements and the reliability of each utility. The reliability, continuous service, flexibility in operation, simplicity, maintenance, development availability, meeting required standards etc. constitute the decisive factors for selection of a utility. Hence, each component of a power system must maintain the adequate level of reliability. In general, the maintenance approaches are classified into two parts: 1- The maintenance which must be carried out within determined and specified time intervals; 2- The maintenance which must be performed when required or in emergencies. To evaluate the maintenance and its effect on reliability, two types of deterministic and probabilistic approaches are presented. In this paper, a comprehensive description of both models is issued, and a detailed comparison is drawn. The results obviously show that the probabilistic models have considerable priority to deterministic models regard to their abilities for maximization of reliability or minimization of costs.


2020 ◽  
Vol 8 (9) ◽  
pp. 642
Author(s):  
Chao Ji ◽  
Cynthia Juyne Beegle-Krause ◽  
James D. Englehardt

Submerged oil, oil in the water column (neither at the surface nor on the bottom), was found in the form of oil droplet layers in the mid depths between 900–1300 m in the Gulf of Mexico during and following the Deepwater Horizon oil spill. The subsurface peeling layers of submerged oil droplets were released from the well blowout plume and moved along constant density layers (also known as isopycnals) in the ocean. The submerged oil layers were a challenge to locate during the oil spill response. To better understand and find submerged oil layers, we review the mechanisms of submerged oil formation, along with detection methods and modeling techniques. The principle formation mechanisms under stratified and cross-current conditions and the concepts for determining the depths of the submerged oil layers are reviewed. Real-time in situ detection methods and various sensors were used to reveal submerged oil characteristics, e.g., colored dissolved organic matter and dissolved oxygen levels. Models are used to locate and to predict the trajectories and concentrations of submerged oil. These include deterministic models based on hydrodynamical theory, and probabilistic models exploiting statistical theory. The theoretical foundations, model inputs and the applicability of these models during the Deepwater Horizon oil spill are reviewed, including the pros and cons of these two types of models. Deterministic models provide a comprehensive prediction on the concentrations of the submerged oil and may be calibrated using the field data. Probabilistic models utilize the field observations but only provide the relative concentrations of the submerged oil and potential future locations. We find that the combination of a probabilistic integration of real-time detection with trajectory model output appears to be a promising approach to support emergency response efforts in locating and tracking submerged oil in the field.


2020 ◽  
Vol 11 (2) ◽  
pp. 253-282
Author(s):  
Jun Hu ◽  
Wenbin Long ◽  
Xianzhong Song ◽  
Taijie Tang

Purpose Due to environmental externalities, micro-enterprises with profit-seeking features do not develop sufficient motivation for environmental governance. In a fiscally decentralized system, local environmental protection authorities perform environmental supervision, and the intensity of the regulations that they implement has an important influence on corporate environmental governance. Based on the promotion tournament framework, this paper aims to discuss the driving mechanism of corporate environmental governance using turnover of environmental protection department directors (EPDDs) as an indicator. Design/methodology/approach Using samples of A-share companies listed on the Shanghai and Shenzhen exchanges from 2007 to 2014, this paper examines the impact of EPDD turnover on corporate environmental governance and its underlying mechanism. Findings The results show that corporate environmental governance exhibits a political periodicity that changes with the turnover of the EPDD, and the periodicity remains after controlling for the influence of changes in provincial party secretary and governor. Internal mechanisms analysis indicates that, without financial independence, local environmental protection departments rely on increasing sewage charges, not environmental protection subsidies, to promote corporate environmental governance. Further, considering heterogeneity among officials, it finds that the younger a new EPDD is, the more pronounced the periodicity of corporate environmental governance. However, there is no significant difference between in-system and out-system turnover. Originality/value In general, this paper describes the mechanisms of corporate environmental governance from the perspective of political economics, and the results have implications for the potential improvement of the government’s environmental supervision functions and the development of ecological civilization in China.


2018 ◽  
Author(s):  
Michael J. Lynch ◽  
◽  
Zhenming Wang ◽  
William Andrews ◽  
Matthew M. Crawford ◽  
...  

2006 ◽  
Vol 8 (3) ◽  
pp. 223-234 ◽  
Author(s):  
Husam Baalousha

Characterisation of groundwater modelling involves significant uncertainty because of estimation errors of these models and other different sources of uncertainty. Deterministic models do not account for uncertainties in model parameters, and thus lead to doubtful output. The main alternatives for deterministic models are the probabilistic models and perturbation methods such as Monte Carlo Simulation (MCS). Unfortunately, these methods have many drawbacks when applied in risk analysis of groundwater pollution. In this paper, a modified Latin Hypercube Sampling method is presented and used for risk, uncertainty, and sensitivity analysis of groundwater pollution. The obtained results were compared with other sampling methods. Results of the proposed method have shown that it can predict the groundwater contamination risk for all values of probability better than other methods, maintaining the accuracy of mean estimation. Sensitivity analysis results reveal that the contaminant concentration is more sensitive to longitudinal dispersivity than to velocity.


2021 ◽  
Author(s):  
◽  
Samantha V. Llewellyn

Due to the expanding use of nanotechnology in consumer applications, human and environmental exposure to engineered nanomaterials (ENM) is inevitable. Hepatic toxicology is important when considering ENM exposure, as the liver is the major site of ENM secondary deposition and accumulation post exposure, as well as being vital in metabolic homeostasis and detoxification. The vast range of ENMs available deems it untenable to rely on in vivo based methods to elucidate the immediate and lasting effects of ENM exposure. Therefore, this research project aimed to develop an advanced 3D in vitro liver model with enhanced physiological relevance to better understand the human health hazards, specifically genotoxicity, associated with ENM exposure. The in vitro model developed was a HepG2 3D liver spheroid model with 14-day viability and liver-like functionality, as well as proliferating capabilities required to support the evaluation of fixed DNA damage endpoints. Utilising this model, the next objective was to evaluate several toxicological endpoints (e.g. liver function, (pro-)inflammatory response, cytotoxicity and genotoxicity) for a variety of ENMs (TiO2, ZnO, Ag, BaSO4 and CeO2) under different exposure regimes designed to better mimic human exposure routes. To achieve this, the ENM were 1) pre-treated in a series of biological simulant fluids to mimic inhalation and ingestion exposure routes, and 2) applied to the 3D liver model for both short- (24hr) and prolonged (120hr) single-bolus, and repeated-fractionated daily ENM exposure regimes, prior to hazard characterisation. The effects of material biotransformation upon reactivity, cytotoxicity, (pro-)inflammatory and genotoxic potential of Ag and TiO2 was demonstrated, and illustrated that the necessity of ENM pre-treatment prior to in vitro hazard assessment should be reserved for ENM that exhibit high degrees of physico-chemical transformation and reactivity (i.e. a tiered testing strategy). When comparing dosing durations, no cytotoxicity or significant reduction in liver-like functionality was observed across either acute, prolonged or repeated exposure regimes. Acute exposure to all ENMs induced a significant increase (p≤0.05) in genotoxicity, albeit not dose-dependently. ZnO, which rapidly dissolves into ions, was the only material to exhibit genotoxicity at both an acute and prolonged exposure. For the materials selected in this study, there was no significant difference between prolonged, bolus or repeated exposure regimes, indicating that the added complexity of fractionated dosing was not necessary. In conclusion, 3D in vitro hepatic spheroid models have the capacity to be utilised for evaluating more realistic ENM exposures, thereby providing a future approach to better support in vitro ENM hazard assessment in a routine and easily accessible manner.


2016 ◽  
Vol 9 (5) ◽  
pp. 791-811 ◽  
Author(s):  
R. Assunção ◽  
M.J. Silva ◽  
P. Alvito

Most fungi are able to produce several mycotoxins simultaneously and, consequently, to contaminate a wide variety of foodstuffs. Therefore, the risk of human co-exposure to multiple mycotoxins is real, raising a growing concern about their potential impact on human health. Besides, government and industry regulations are usually based on individual toxicities, and do not take into account the complex dynamics associated with interactions between co-occurring groups of mycotoxins. The present work assembles, for the first time, the challenges posed by the likelihood of human co-exposure to these toxins and the possibility of interactive effects occurring after absorption, towards knowledge generation to support a more accurate human risk assessment. Regarding hazard assessment, a physiologically-based framework is proposed in order to infer the health effects from exposure to multiple mycotoxins in food, including knowledge on the bioaccessibility, toxicokinetics and toxicodynamics of single and combined toxins. The prioritisation of the most relevant mixtures to be tested under experimental conditions that attempt to mimic human exposure and the use of adequate mathematical approaches to evaluate interactions, particularly concerning the combined genotoxicity, were identified as the main challenges for hazard assessment. Regarding exposure assessment, the need of harmonised food consumption data, availability of multianalyte methods for mycotoxin quantification, management of left-censored data, use of probabilistic models and multibiomarker approaches are highlighted, in order to develop a more precise and realistic exposure assessment. To conclude, further studies on hazard and exposure assessment of multiple mycotoxins, using harmonised methodologies, are crucial towards an improvement of data quality and a more reliable and robust risk characterisation, which is central for risk management and, consequently, to prevent mycotoxins-associated adverse effects. A deep understanding of the nature of interactions between multiple mycotoxins will contribute to draw real conclusions on the health impact of human exposure to mycotoxin mixtures.


2015 ◽  
Vol 764-765 ◽  
pp. 1095-1099
Author(s):  
Shu Rong Yang ◽  
Yi Lung Yeh

This study focuses on 53 villages located in the slopelands of Pingtung County. Remote sensing image interpretation techniques are used to identify geologic hazard areas. GIS map overlay analysis of environmental geologic maps, landslide susceptibility maps and potential debris flow torrent maps provided by local and regional governments are used to further interpret and correctly identify the extent of the geologic hazard zone. This study successfully combines both GIS and GPS techniques, and according to data analysis results, constructs a slopeland village geologic hazard assessment method.


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