Risk Assessment and Disaster Prevention and Mitigation Strategies for Large-Scale Sediment Disasters

2021 ◽  
Author(s):  
Shin-Ping Lee ◽  
Yuan-Jung Tsai ◽  
Yun-Chung Tsang ◽  
Ching-Ya Tsai ◽  
Shang-Ming Wang ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Debris Flows ◽  
Large Scale ◽  
Assessment Method ◽  
Disaster Prevention ◽  
Typhoon Morakot ◽  
Risk Assessment Method ◽  
Landslides And Debris Flows ◽  
The Impact

<p>Under climate change impact, the frequency of extreme hydrological events increases. The occurrence of extreme rainfall events may lead to large-scale flooding or sediment disasters resulting in serious property damage and casualties. Large-scale sediment disasters include large-scale landslides and debris flows which are the main types of disasters causing casualties. In Taiwan, during Typhoon Morakot in 2009, the long duration and high-intensity rainfall led to a large-scale sediment disaster resulting in heavy casualties. A disaster with certain magnitude and complexity cannot be coped with a single disaster management approach. In this study, a risk assessment method considering climate change impacts proposed by the Intergovernmental Panel on Climate Change (IPCC) was adopted. By analyzing hazard, exposure, and vulnerability indicators of large-scale sediment disasters in Xinfa catchment of Kaohsiung City, Taiwan, a disaster risk adaptation strategy was proposed based on the impact of disaster factors.</p><p>Two scenarios were applied for the catchment sediment hazards risk assessments including 50-year recurrence period (high frequency and low impact) and extreme scenario (low frequency and high impact). Multiple factors for hazard (impact area of landslides and debris flows), exposure (lifeline roads and land use intensity), and vulnerability (disaster prevention and relief resources and settlement population characteristics) assessments were considered. The correlation factor selection and weighting analysis was calibrated by the 2009 Typhoon Morakot event. All disaster-recorded locations were above moderate risk indicating that the risk assessment method was reasonable. A risk map for Xinfa catchment was completed based on the validated risk assessment model to identify the high-risk settlements. After analyzing the spatial characteristics and disaster risk impact factors of high-risk settlements, both software and hardware disaster prevention measures and adaptation strategies were suggested. According to the analyzed results, although the hardware measures were effective in reducing sediment hazards generally, under extreme hydrologic events, those measures could be ineffective due to limited protection capacity of the engineering facilities. Hence, reducing exposure and vulnerability is essential to deal with the impact of extreme events.</p><p><strong>Keywords</strong>: <strong>Large-scale sediment disasters, Risk assessment, Adaptation strategies</strong></p>

scholarly journals Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates

2018 ◽  
Author(s):  
Michalis I. Vousdoukas ◽  
Dimitrios Bouziotas ◽  
Alessio Giardino ◽  
Laurens M. Bouwer ◽  
Evangelos Voukouvalas ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Flood Risk ◽  
Large Scale ◽  
Epistemic Uncertainty ◽  
Coastal Protection ◽  
Flood Risk Assessment ◽  
Coastal Flood ◽  
Coastal Flood Risk ◽  
The Impact

Abstract. An upscaling of flood risk assessment frameworks beyond regional and national scales has taken place during recent years, with a number of large-scale models emerging as tools for hotspot identification, support for international policy-making and harmonization of climate change adaptation strategies. There is, however, limited insight on the scaling effects and structural limitations of flood risk models and, therefore, the underlying uncertainty. In light of this, we examine key sources of epistemic uncertainty in the Coastal Flood Risk (CFR) modelling chain: (i) the inclusion and interaction of different hydraulic components leading to extreme sea-level (ESL); (ii) inundation modelling; (iii) the underlying uncertainty in the Digital Elevation Model (DEM); (iv) flood defence information; (v) the assumptions behind the use of depth-damage functions that express vulnerability; and (vi) different climate change projections. The impact of these uncertainties to estimated Expected Annual Damage (EAD) for present and future climates is evaluated in a dual case study in Faro, Portugal and in the Iberian Peninsula. The ranking of the uncertainty factors varies among the different case studies, baseline CFR estimates, as well as their absolute/relative changes. We find that uncertainty from ESL contributions, and in particular the way waves are treated, can be higher than the uncertainty of the two greenhouse gas emission projections and six climate models that are used. Of comparable importance is the quality of information on coastal protection levels and DEM information. In the absence of large-extent datasets with sufficient resolution and accuracy the latter two factors are the main bottlenecks in terms of large-scale CFR assessment quality.

Validating ecological risk assessments for fisheries: assessing the impacts of turtle excluder devices on elasmobranch bycatch populations in an Australian trawl fishery

2006 ◽  
Vol 57 (4) ◽  
pp. 395 ◽  
Author(s):  
Shane P. Griffiths ◽  
David T. Brewer ◽  
Don S. Heales ◽  
David A. Milton ◽  
Ilona C. Stobutzki
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Absolute Risk ◽  
Assessment Method ◽  
Quantitative Risk Assessment ◽  
Trawl Fishery ◽  
Recovery Potential ◽  
Risk Assessment Method ◽  
Fishing Impacts ◽  
The Impact

Demonstrating ecological sustainability is a challenge for fisheries worldwide, and few methods can quantify fishing impacts on diverse, low value or rare species. The current study employed a widely used ecological risk assessment method and incorporated new data to assess the change in sustainability of species following the introduction of Turtle Excluder Devices (TEDs) in Australia’s Northern Prawn Fishery (NPF). Population recovery ranks changed for 19 of the 56 elasmobranch species after the introduction of TEDs, with nine species showing an increase in sustainability. Unexpectedly, ten species showed a decrease in sustainability. This was due to TEDs successfully excluding large animals from the catch, resulting in a lower mean length at capture, which reduced the recovery ranks for two criteria relying on length data. This falsely indicates that TEDs increase the impact on pre-breeding animals, thus reducing the recovery potential of these species. The results demonstrate that existing attribute-based risk assessment methods may be inadequate for reflecting even the most obvious changes in fishing impacts on bycatch species. Industry and management can benefit greatly from an approach that more accurately estimates absolute risk. The development and requirements of a new quantitative risk assessment method to be developed for the NPF, and applicable to fisheries worldwide, are discussed.

Risk Assessment Method Applied for Waste Ashes Processing and Further Use as a Renewable Source

2014 ◽  
Vol 1001 ◽  
pp. 484-491
Author(s):  
Marcela Malindžáková ◽  
Andrea Rosová
Keyword(s):  
Risk Assessment ◽  
Assessment Method ◽  
Assessment Criteria ◽  
Processing Waste ◽  
Renewable Source ◽  
Technological Line ◽  
Waste Storage ◽  
Risk Assessment Method ◽  
Potential Risks ◽  
The Impact

The aim of this article is to describe the optimization of ashes processing technological line. The statistical and economic tool (risk assessment criteria) that is used in this article help to identify weaknesses in the ashes processing, managing process and potential risks and bottlenecks, thus helping to achieve better control over the process, minimizing the impact on the environment. Keywords: Ash processing, Waste storage, Risk assessment.

scholarly journals Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates

2018 ◽  
Vol 18 (8) ◽  
pp. 2127-2142 ◽  
Author(s):  
Michalis I. Vousdoukas ◽  
Dimitrios Bouziotas ◽  
Alessio Giardino ◽  
Laurens M. Bouwer ◽  
Lorenzo Mentaschi ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Flood Risk ◽  
Large Scale ◽  
Epistemic Uncertainty ◽  
Coastal Protection ◽  
Flood Risk Assessment ◽  
Coastal Flood ◽  
Coastal Flood Risk ◽  
The Impact

Abstract. An upscaling of flood risk assessment frameworks beyond regional and national scales has taken place during recent years, with a number of large-scale models emerging as tools for hotspot identification, support for international policymaking, and harmonization of climate change adaptation strategies. There is, however, limited insight into the scaling effects and structural limitations of flood risk models and, therefore, the underlying uncertainty. In light of this, we examine key sources of epistemic uncertainty in the coastal flood risk (CFR) modelling chain: (i) the inclusion and interaction of different hydraulic components leading to extreme sea level (ESL), (ii) the underlying uncertainty in the digital elevation model (DEM), (iii) flood defence information, (iv) the assumptions behind the use of depth–damage functions that express vulnerability, and (v) different climate change projections. The impact of these uncertainties on estimated expected annual damage (EAD) for present and future climates is evaluated in a dual case study in Faro, Portugal, and on the Iberian Peninsula. The ranking of the uncertainty factors varies among the different case studies, baseline CFR estimates, and their absolute and relative changes. We find that uncertainty from ESL contributions, and in particular the way waves are treated, can be higher than the uncertainty of the two greenhouse gas emission projections and six climate models that are used. Of comparable importance is the quality of information on coastal protection levels and DEM information. In the absence of large datasets with sufficient resolution and accuracy, the latter two factors are the main bottlenecks in terms of large-scale CFR assessment quality.

scholarly journals Risk Assessment Method Combining Independent Protection Layers (IPL) of Layer of Protection Analysis (LOPA) and RISKCURVES Software: Case Study of Hydrogen Refueling Stations in Urban Areas

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 4043
Author(s):  
Byoungjik Park ◽  
Yangkyun Kim ◽  
Kwanwoo Lee ◽  
Shinwon Paik ◽  
Chankyu Kang
Keyword(s):  
Risk Assessment ◽  
Urban Areas ◽  
Risk Mitigation ◽  
Risk Measures ◽  
Assessment Method ◽  
International Standards ◽  
Individual Risk ◽  
Safety Measures ◽  
Risk Assessment Method ◽  
The Impact

The commercialization of eco-friendly hydrogen vehicles has elicited attempts to expand hydrogen refueling stations in urban areas; however, safety measures to reduce the risk of jet fires have not been established. The RISKCURVES software was used to evaluate the individual and societal risks of hydrogen refueling stations in urban areas, and the F–N (Frequency–Number of fatalities) curve was used to compare whether the safety measures satisfied international standards. From the results of the analysis, it was found that there is a risk of explosion in the expansion of hydrogen refueling stations in urban areas, and safety measures should be considered. To lower the risk of hydrogen refueling stations, this study applied the passive and active independent protection layers (IPLs) of LOPA (Layer of Protection Analysis) and confirmed that these measures significantly reduced societal risk as well as individual risk and met international standards. In particular, such measures could effectively reduce the impact of jet fire in dispensers and tube trailers that had a high risk. Measures employing both IPL types were efficient in meeting international standard criteria; however, passive IPLs were found to have a greater risk reduction effect than active IPLs. The combination of RISKCURVES and LOPA is an appropriate risk assessment method that can reduce work time and mitigate risks through protective measures compared to existing risk assessment methods. This method can be applied to risk assessment and risk mitigation not only for hydrogen facilities, but also for hazardous materials with high fire or explosion risk.

Improving Overhaul Planning Through Risk Assessment and Risk Management

1992 ◽  
Vol 8 (04) ◽  
pp. 235-243
Author(s):  
Robert G. Gorgone
Keyword(s):  
Risk Assessment ◽  
Group Technology ◽  
Assessment Method ◽  
Management Program ◽  
Repair Work ◽  
Similar Work ◽  
Limited Budget ◽  
Risk Assessment Method ◽  
The Impact ◽  
Risk Assessment Methodology

The execution of the overhaul of U.S. naval vessels at a public shipyard is fraught with risk. Far too often the work authorization process is constrained by a limited budget. This situation can result in two common outcomes:The shipyard delivers a ship to the customer that has significant repair work either deferred or incomplete.The deferred or incomplete work is screened back to the shipyard late in the overhaul, forcing an upheaval in the logical planning and execution of the availability. Risk affects both the shipyard and ship's force because the completion of the overhaul could be affected by late authorized work resulting in the ship not being able to meet her commitments. As Philadelphia Naval Shipyard (PNSV) is an industry leader in Zone or Group Technology execution methods, it is particularly disruptive to work flow to return to geographic areas and perform work in an area out of phase—or even worse—in an area where similar work is already complete. With the innovation of Zone Technology, it was clear that a consistent and effective risk assessment method must be developed to determine the probability of equipment failure during the testing phase of the overhaul and the impact on cost and schedule to the overhaul. The USS Kidd (DD-963) scheduled availability in 1989 proved to be the ideal opportunity to develop and execute a formal risk assessment and management program. The USS Constellation (CV-64) SLEP availability in 1990 afforded the opportunity to refine and expand the risk assessment methodology.

scholarly journals Risk Assessment of Groundwater Pollution in a Mining Area Based on Physical Processes

2019 ◽  
Vol 98 ◽  
pp. 09025 ◽  
Author(s):  
Zhiwei Qi ◽  
Changlai Xiao ◽  
Bo Zhang ◽  
Xiujuan Liang ◽  
Ge Wang
Keyword(s):  
Risk Assessment ◽  
Spatial Distribution ◽  
Groundwater Pollution ◽  
Single Point ◽  
Assessment Method ◽  
Aquifer Vulnerability ◽  
Risk Level ◽  
Physical Processes ◽  
Risk Assessment Method ◽  
The Impact

At present, the study of groundwater pollution risk assessment is generally based on the study of groundwater vulnerability. The impact of the pollutants themselves has not been paid more attention. The assessment of the risk of groundwater pollution should include two aspects: one is the contaminated nature of the aquifer itself and the other is spatial distribution of the pollutant. The vulnerability of the aquifer is only the natural susceptibility of the aquifer to the contaminant. Therefore, the risk assessment of groundwater pollution should also reflect the distribution and transport of pollutants in an aquifer. This study takes a tailings area as an example, and puts forward the risk assessment method of groundwater pollution based on physical processes. Before aquifer contamination occurs, the experts determine spatial distribution of each risk level according to the surrounding economic and social sensitivity conditions and hydrogeological conditions; and then use the numerical model to invert the intensity of the pollution source corresponding to each risk level. The results show that this method can express the distribution in space and time of risk level. For a single point source of contamination, this method is better than the previous based on aquifer vulnerability risk assessment method.

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