Urban Settlements and Road Network Analysis on the Surrounding Area of the Almirante Alvaro Alberto Nuclear Complex, Angra dos Reis, Brazil

Manfré, Luiz Augusto; Cruz, Bruna Botti; Quintanilha, José Alberto

doi:10.1007/s12061-019-09299-2

Cited by 4 publications

(3 citation statements)

References 27 publications

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“…Furthermore, evacuation routes and access to areas of influence are critical factors in emergency planning. As a result, the geobiophysiographic aspects of these areas (geographical, geological, geo-morphological, hydrological and meteorological elements) must be assessed [57,99].…”

Section: Integrated Environmental Analysis For Emergency Planning In the Cnaaa's Areamentioning

confidence: 99%

“…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%

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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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Section: Integrated Environmental Analysis For Emergency Planning In the Cnaaa's Areamentioning

confidence: 99%

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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“…Although several studies have demonstrated the applicability of OBIA for landslide mapping in various environments, its application for landslide mapping in tropical environments in Brazil is still incipient. Brazilian studies which applied OBIA, for example, focused on urban infrastructure, coral reefs, gullies, and vegetation pattern mapping, and not on natural hazards [34][35][36][37][38]. This method considerably simulates human cognition and enables the transfer of existing knowledge into machine-executable rule sets [27].…”

Section: Introductionmentioning

confidence: 99%

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil

Dias,

Hölbling,

Grohmann

2023

Remote Sensing

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Landslides are among the most frequent hazards in Latin America and the world. In Brazil, they occur every year and cause economic and social loss. Landslide inventories are essential for assessing susceptibility, vulnerability, and risk. Over the decades, a variety of mapping approaches have been employed for the detection of landslides using Earth observation (EO) data. Object-based image analysis (OBIA) is a widely recognized method for mapping landslides and other morphological features. In Brazil, despite the high frequency of landslides, methods for inventory construction are poorly developed. The aim of this study is to semi-automatically recognize shallow landslides in Itaóca (Brazil) and evaluate the transferability of the approach within different areas in Brazil. RapidEye satellite images (5 m) and the derived normalized difference vegetation index (NDVI), as well as a digital elevation model (DEM) (12.5 m) and morphological data, were integrated into the classification. The results show that the method is suitable for the recognition of this type of hazard in Brazil. The overall accuracy was 89%. The main challenges were the identification of small landslides and the exact delineation of scars. The findings validate the applicability of the approach in Brazil, although additional adjustments to the primary rule set might lead to better results.

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Monitoring land use and land cover change near a nuclear power plant construction site: Akkuyu case, Turkey

Iban

Sahin²

2022

Environ Monit Assess

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Urban Settlements and Road Network Analysis on the Surrounding Area of the Almirante Alvaro Alberto Nuclear Complex, Angra dos Reis, Brazil

Cited by 4 publications

References 27 publications

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

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

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil

Monitoring land use and land cover change near a nuclear power plant construction site: Akkuyu case, Turkey

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