Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

The present invention concerns a method for generating technical design solutions satisfying a given performance target for a building. The method comprises: selecting a design model for the building; selecting a first set of design parameters from a first database; qualifying and/or quantifying the design parameters in the first set; generating a first set of design parameter combinations from the first set of design parameters; attributing the first set of design parameter combinations to the design model to obtain a first set of design alternatives; accessing a second database to determine the impact of the first set of design alternatives on a performance of the building; and ranking the first set of design parameters according to their contribution to the performance of the building.

Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

Methods and systems to spatially model individual features or accumulations which are undiscovered but conceptualized or expected to exist sporadically within areas. These include physical properties, materials, minerals, environmental contamination, organisms, and energy of all types. The model(s) may be used to optimize technical concerns with respect to these features such as hydrocarbon accumulations. The resulting model(s) may improve efficiency of investments in acquisition of mineral interests, exploration well locations among other uses.

An environmental pertinence interface generated by an example apparatus, method, and computer program product is provided. The apparatus receives an interface request from a mobile device and location data relating to the mobile device. The apparatus queries a database to identify environmental objects that satisfy a proximity threshold. The apparatus identifies environmental pertinence digital content items when the proximity threshold is satisfied. The apparatus applies user permissions rules to determine a user-permitted environmental pertinence digital content item set and generates an environmental pertinence interface for display by the mobile device.

Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

An environmental pertinence interface generated by an example apparatus, method, and computer program product is provided. The apparatus receives an interface request from a mobile device and location data relating to the mobile device. The apparatus queries a database to identify environmental objects that satisfy a proximity threshold. The apparatus identifies environmental pertinence digital content items when the proximity threshold is satisfied. The apparatus applies user permissions rules to determine a user-permitted environmental pertinence digital content item set and generates an environmental pertinence interface for display by the mobile device.

A computer implemented method for generating sustainable performance and environmental impact assessment for a target system, comprising: receiving input data associated with the target system; receiving sustainable performance and environmental assessment rules of the target system; generating assessment dataset containing a plurality of data items based on the received input data; determining applicable impact assessment data for each of the data items in the assessment dataset using dynamic adaptive recognition data comprising pre-configured recognition data; applying the applicable impact assessment data for each of the data items in the assessment dataset to generate an impact dataset; and determining sustainable performance and environmental impact assessment information of the target system using the sustainable performance and environmental assessment rules and the impact dataset.

The present disclosure refers to a method and a system of sudden water pollutant source detection by forward-inverse coupling, including: building an one-dimensional forward water quality simulation model of a river way according to acquired mechanical parameters and water quality parameters; according to the one-dimensional forward water quality simulation model of the river way, measuring and calculating each monitoring index by using an inverse optimization source-detection model; by constructing the one-dimensional forward water quality simulation model of the river way, using the inverse optimization source-detection model for measurement and calculation; and performing the Bayesian updating, in order to realize multi-information fusion. The present disclosure may reasonably control and use different observation information, and combine the redundancy or complementarity of multi-sourced information in space or in time to obtain consistent interpretation of the measured object, thus overcoming the uncertainty of the water environment, improving the accuracy of water pollutant source detection.

A computer-implemented method for producing a product by selection of one or more chemical precursors, the method comprising: (a) receiving, from an interface, at least two data sets comprising (i) material data related to chemical or physical properties of the one or more chemical precursors and (ii) environmental impact metrics data related to environmental impact metrics for the one or more chemical precursors necessary for manufacturing the product; (b) providing an environmental impact calculation model describing a functional relationship between the material data and the environmental impact metrics data; (c) optionally retrieving, from a database, historical environmental impact metrics data for the one or more chemical precursors, the historical environmental impact metrics data comprising historic environmental impact metrics corresponding to the one or more chemical precursors; (d) ranking the at least two data sets by a distance from predefined minimum values in multiple dimensions of the environmental impact calculation model and generating thereon based ranking results; and (e) optionally obtaining a degree of matching between the ranking results of the environmental impact calculation model and the historical environmental impact metrics data and generating thereon based matching results; and (f) selecting one or more chemical precursors out of a plurality of chemical precursors based on the ranking results and/or the matching results and adding the selected one or more chemical precursors to a production process of the product.