Green city - innovative solution for urban areas
Machine learning as a class of artificial intelligence methods are applied in conditions of limited data for predicting missing values with using math modeling.
The idea of the project is based on the use of a trained model that calculates the dispersion of pollution in an urban area.
Having a limited set of input data from control sensors, ground monitoring stations and satellite observations, taking into account the indicators of predictors, the model calculates the concentration of pollution in each pixel of the study area.
The model is a flexible tool and allows to apply unlimited predictors and also be customized not only by pixels, but also by individual urban objects: hospitals,
schools, social facilities, etc.
The idea of the project is based on the use of a trained model that calculates the dispersion of pollution in an urban area.
Having a limited set of input data from control sensors, ground monitoring stations and satellite observations, taking into account the indicators of predictors, the model calculates the concentration of pollution in each pixel of the study area.
The model is a flexible tool and allows to apply unlimited predictors and also be customized not only by pixels, but also by individual urban objects: hospitals,
schools, social facilities, etc.
Special monitoring social facilities using control sensors
Air quality near schools and hospitals affects the health of children and the condition of patients
Maintaining clean air for sports and recreation improves human health
According to numerous studies, in the context of the COVID 19 pandemic, air quality directly affects
the spread of morbidity, therefore social facilities require special monitoring
Maintaining clean air for sports and recreation improves human health
According to numerous studies, in the context of the COVID 19 pandemic, air quality directly affects
the spread of morbidity, therefore social facilities require special monitoring
How does it work?
Benefits of the project «Green city»
- Improving the quality and reliable assessment of air pollution in cities areas
- Due to using IT technologies, modern methods of analysis of spatial-temporary data and machine learning to get low investment and operating costs of the monitoring system
- Inform daily local community about alarm predictive pollution of city districts that is important for children and people with pulmonary and cardiovascular diseases
- Assessing urban development projects from the point of view protection of air environment
- The high scalability of the project it to be used for any country and region, any size urban areas, objects and cities
- Due to using IT technologies, modern methods of analysis of spatial-temporary data and machine learning to get low investment and operating costs of the monitoring system
- Inform daily local community about alarm predictive pollution of city districts that is important for children and people with pulmonary and cardiovascular diseases
- Assessing urban development projects from the point of view protection of air environment
- The high scalability of the project it to be used for any country and region, any size urban areas, objects and cities
ASMProjects / Data source Spanish Ministry of Health