Supportive elements to the decision-making process in the emergency planning of the Angra dos Reis Nuclear Power Complex, Brazil

Silva, Corbiniano; Pimentel, Leonardo Duarte; Landau, Luiz; Filho, Paulo Fernando Lavalle Heilbron; Gobbo, Fabiana Guimarães Resende; Sousa, Pryscila de Jesus de

doi:10.1007/s12665-017-6450-y

Cited by 10 publications

(14 citation statements)

References 18 publications

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“…The physical simulated area A is set to 700km 2 , the size of the evacuated zone in the Fukushima accident. That area also is roughly the same as the Angra dos Reis evacuation area analyzed in the study of Silva et al [75].…”

Section: Simulated Areamentioning

confidence: 76%

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Souza

Endler

2020

J Internet Serv Appl

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Wireless sensor networks (WSNs) are an important means of collecting data in a variety of situations, such as the monitoring of large or hazardous areas. The retrieval of WSN data can yield better results through the use of unmanned aerial vehicles (UAVs), for example, concerning the increase in the amount of data collected and the decrease in the time between the collection and use of the data. In particular, disaster areas may be left without communication resources and with high residual risk to humans, at which point a WSN can be quickly launched by air to collect relevant data until other measures can be established. The set of rules of each problem's component (e.g., number of UAVs, UAVs dislocation control, sensors, communication) is considered the approaches to solve the problem. In this meaning, some studies present approaches for the use of UAVs for the collection of WSN data, focusing primarily on optimizing the path to be covered by a single UAV and relying on long-range communication that is always available; these studies do not explore the possibility of using several UAVs or the limitations on the range of communication. This work describes DADCA, a distributed scalable approach capable of coordinating groups of UAVs in WSN data collection with restricted communication range and without the use of optimization techniques. The results reveal that the amount of data collected by DADCA is similar or superior to path optimization approaches by up to 1%. In our proposed approach, the delay in receiving sensor messages is up to 46% shorter than in other approaches, and the required processing onboard UAVs can reach less than 75% of those using optimization-based algorithms. The results indicate that the DADCA can match and even surpass other presented approaches, since the path optimization is not a focus, while also incorporating the advantages of a distributed approach.

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Section: Simulated Areamentioning

confidence: 76%

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Souza

Endler

2020

J Internet Serv Appl

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“…In the nuclear domain, GIS techniques have been applied to map radiological hazards, health effects, protective action locations, and economic areas (Hammond & Bier, ; Mercat‐Rommens, Chakhar, Chojnacki, & Mousseau, ; Silva et al., ; Tsai et al., ). GIS has been used to analyze and visualize field data from historical accidents (Van der Perk, Burrough, & Voigt, ), and generate spatial risk analysis based on postulated hazards (Rigina & Baklanov, , ).…”

Section: Methodological Development For External‐explicit Integrationmentioning

confidence: 99%

GIS‐Based Integration of Social Vulnerability and Level 3 Probabilistic Risk Assessment to Advance Emergency Preparedness, Planning, and Response for Severe Nuclear Power Plant Accidents

et al. 2018

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In the nuclear power industry, Level 3 probabilistic risk assessment (PRA) is used to estimate damage to public health and the environment if a severe accident leads to large radiological release. Current Level 3 PRA does not have an explicit inclusion of social factors and, therefore, it is not possible to perform importance ranking of social factors for risk‐informing emergency preparedness, planning, and response (EPPR). This article offers a methodology for adapting the concept of social vulnerability, commonly used in natural hazard research, in the context of a severe nuclear power plant accident. The methodology has four steps: (1) calculating a hazard‐independent social vulnerability index for the local population; (2) developing a location‐specific representation of the maximum radiological hazard estimated from current Level 3 PRA, in a geographic information system (GIS) environment; (3) developing a GIS‐based socio‐technical risk map by combining the social vulnerability index and the location‐specific radiological hazard; and (4) conducting a risk importance measure analysis to rank the criticality of social factors based on their contribution to the socio‐technical risk. The methodology is applied using results from the 2012 Surry Power Station state‐of‐the‐art reactor consequence analysis. A radiological hazard model is generated from MELCOR accident consequence code system, translated into a GIS environment, and combined with the Center for Disease Control social vulnerability index (SVI). This research creates an opportunity to explicitly consider and rank the criticality of location‐specific SVI themes based on their influence on risk, providing input for EPPR.

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“…The diversity of NPPs installed in regions with physiographic characteristics similar to those of CNAAA is shown in Figure 1. In order to attend [20], it is indispensable to understand the growing trend for strict nuclear safety requirements for these areas, in addition to building a decision-making geographic information system platform by using a meteorological measurement network to simulate results in support of licensing, installation, routine operation and nuclear accident mitigation [33,[52][53][54][55][56][57]. The analysis of meteorological conditions in these areas is very important to evaluate and mitigate the risks associated with natural hazards.…”

Section: Introductionmentioning

confidence: 99%

Thermally and Dynamically Driven Atmospheric Circulations over Heterogeneous Atmospheric Boundary Layer: Support for Safety Protocols and Environment Management at Nuclear Central Areas

et al. 2021

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Ilha Grande Bay is located in Angra dos Reis, Rio de Janeiro State, Brazil. The area is characterized by different land cover, complex topography and proximity to the Atlantic Ocean. These aspects make it susceptible to thermally and dynamically induced atmospheric circulations such as those associated with valley/mountain and land/sea breeze systems, among others. The Almirante Álvaro Alberto Nuclear Complex (CNAAA) is located in this region, with a total of two nuclear power plants (NPPs) in operation in the Brazilian territory, Angra I and Angra II. Therefore, knowledge of local atmospheric circulation has become a matter of national and international security. Considering the importance of the meteorological security tool as a support for licensing, installation, routine operation and nuclear accident mitigation, the main aim of this study is the development of combined strategies of environmental statistical modeling in the analysis of thermally and dynamically driven atmospheric circulations over mountainous and coastal environments. We identified and hierarchized the influence of the thermally and mechanically driven forcing on the wind regime and stability conditions in the coastal atmospheric boundary layer over the complex topography region. A meteorological network of ground-based instruments was used along with physiographic information for the observational characterization of the atmospheric patterns in the spatial and time–frequency domain. The predominant wind directions and intensity are attributed to the combined action of multiscale weather systems, notably, the valley/mountain and continent/ocean breeze circulations, the forced channeling due to valley axis orientation, the influence of the synoptic scale systems and atmospheric thermal tide. The observational investigation of the combined influence of terrain effects and meteorological systems aimed to understand the local atmospheric circulation serves as support for safety protocols of the NPPs, contemplating operation and environmental management. The importance of the study for the adequacy and skill evaluation of computational modeling systems for atmospheric dispersion of pollutants such as radionuclide and conventional contaminants can be also highlighted, in order that such systems are used as tools for environmental planning and managing nuclear operations, particularly those located in regions over mountainous and coastal environments with a heterogeneous atmospheric boundary layer.

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Supportive elements to the decision-making process in the emergency planning of the Angra dos Reis Nuclear Power Complex, Brazil

Cited by 10 publications

References 18 publications

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

Evaluating flight coordination approaches of UAV squads for WSN data collection enhancing the internet range on WSN data collection

GIS‐Based Integration of Social Vulnerability and Level 3 Probabilistic Risk Assessment to Advance Emergency Preparedness, Planning, and Response for Severe Nuclear Power Plant Accidents

Thermally and Dynamically Driven Atmospheric Circulations over Heterogeneous Atmospheric Boundary Layer: Support for Safety Protocols and Environment Management at Nuclear Central Areas

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