Abstract: In a method of multi-modal multi-task environmental quality forecasting, multi-modal data associated with a plurality of environmental input features is received. A neural sub-network of a plurality of neural sub-networks is applied to each modality of the multi-mode data associated with each environmental input feature of the plurality of environmental input features. A neural network is applied to outputs of each of the plurality of neural sub-networks, wherein the neural network includes a trained model for forecasting the plurality of environmental qualities. An environmental quality forecast is output for the plurality of environmental qualities.

Abstract: In a computer-implemented method for transformation of inconsistent environmental data, environmental data is received from a plurality of data sources, wherein each data source of the plurality of data sources is associated with a geographic region and maintains the environmental data using at least one data format of a plurality of disparate data formats, such that the environmental data is received in the plurality of disparate data formats. The environmental data is transformed from the plurality of disparate data formats into a consistent data format, such that the transformed environmental data is in a standardized format capable of direct comparison and analysis. The transformed environmental data is stored in a database configured to receive and perform searches on the transformed environmental data.

Abstract: In a computer-implemented method for transformation of inconsistent environmental data, environmental data is received from a plurality of data sources, wherein each data source of the plurality of data sources is associated with a geographic region and maintains the environmental data using at least one data format of a plurality of disparate data formats, such that the environmental data is received in the plurality of disparate data formats. The environmental data is transformed from the plurality of disparate data formats into a consistent data format, such that the transformed environmental data is in a standardized format capable of direct comparison and analysis. The transformed environmental data is stored in a database configured to receive and perform searches on the transformed environmental data.

Abstract: In a computer-implemented method for evaluating air quality, air quality information is received for a plurality of locations for a plurality of days over a time period. For each location of the plurality of locations a severe air quality percentile for the air quality information for each location of the plurality of locations for the time period is determined and a variance of the air quality information for each location of the plurality of locations for the time period is determined. The plurality of locations is evaluated according to the severe air quality percentile for the air quality information and the variance of the air quality information for each location.

Abstract: In a computer-implemented method for transformation of inconsistent environmental data, environmental data is received from a plurality of data sources, wherein each data source of the plurality of data sources is associated with a geographic region and maintains the environmental data using at least one data format of a plurality of disparate data formats, such that the environmental data is received in the plurality of disparate data formats. The environmental data is transformed from the plurality of disparate data formats into a consistent data format, such that the transformed environmental data is in a standardized format capable of direct comparison and analysis. The transformed environmental data is stored in a database configured to receive and perform searches on the transformed environmental data.