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Ambiental

BREEZE MetView

BREEZE MetView es una potente herramienta de análisis de datos, capaz de mostrar una amplia gama de formatos de datos meteorológicos. BREEZE MetView permite crear tablas y gráficos de datos totalmente personalizables para evaluar las condiciones meteorológicas en intervalos de tiempo específicos.

BREEZE MetView

BREEZE Risk Analyst

BREEZE Risk Analyst es la solución completa para la evaluación de riesgo, diseñada para desarrollar un modelado de evaluación de la salud humana. Combina perfectamente todas las herramientas necesarias: base de datos, funcionalidad SIG y destino y transporte y exposición de ecuaciones de modelado.

BREEZE Risk Analyst

BREEZE ROADS

BREEZE ROADS está diseñado específicamente para gestionar condiciones de tráfico casi saturadas y con exceso de capacidad, datos de tráfico y señalización con hasta siete patrones diferentes, y datos meteorológicos.

BREEZE ROADS

BREEZE SCREEN3

SCREEN3 es una versión de análisis del modelo ISC3. Este modelo de dispersión atmosférica, aprobado por la EPA de EE. UU., se utiliza para analizar escenarios de liberación de una sola fuente en terrenos simples o complejos.

BREEZE SCREEN3

BREEZE TankESP

TankESP es ampliamente considerado como la herramienta de cálculo de emisiones de tanques más precisa del mercado, ya que fue diseñado por uno de los autores del capítulo 7.1 del AP-42. BREEZE TankESP se retirará oficialmente el 1 de enero del 2026

BREEZE TankESP

BREEZE VASPID

BREEZE VASPID es la solución más completa para la evaluación de Vulnerabilidad de Presiones e Impulsos de daños estructurales. Permite modelar el daño posible a edificaciones y personas como resultado de una explosión externa.

BREEZE VASPID