A method for hourly, daily, weekly, monthly, quarterly and annual forecasted air quality health effects caused by air pollutants generated over a determined geographical area and a system implementing the method.

Method and a System for Determining at Least One Forecasted Air Quality Health Effect Caused in a Determined Geographical Area by at Least One Air Pollutant

The invention relates to an air quality index prediction method, in particular to an air quality index prediction method based on spatial and temporal distribution characteristics. The method adopts a time series prediction method to predict time orientation, i.e. an air quality index at certain time in the future; and then, a Kriging interpolation method is adopted, and the known latitude and longitude coordinates of a monitoring site are combined with a time series prediction result to carry out interpolate estimation on the air quality index of any place of a whole area. Therefore, the air quality index prediction method has the following advantages that the complexity of a model is lowered, whole calculation time is shortened, and meanwhile, the accuracy of the model is guaranteed; and in addition, the air quality indexes in multiple time periods in one day at each place within the area can be more accurately predicted.

Air quality index prediction method based on spatial and temporal distribution characteristics

An embodiment of the invention provides a method where an air quality forecast having an air quality turning point is received. A processor identifies an updated air quality turning point based on weather observation information. An air quality forecast at the updated air quality turning point is generated with the weather observation information and human input, which can include human knowledge from a weather expert or an air quality expert. An air quality forecast for a first time period directly prior to the updated air quality turning point is generated with the air quality forecast at the updated air quality turning point and the human input. An air quality forecast for a second time period directly after the updated air quality turning point is generated with the air quality forecast for the first time period, the air quality forecast at the updated air quality turning point, and the human input.

Integrated Air Quality Forecasting

The present invention relates to an air quality prediction and management system for early detection of environmental disasters, the system performing wind field modeling and air quality modeling using AWS measurement information and UM meteorological data provided by the meteorological administration, and topographical information and air discharge amount information provided by related organizations; generating predicted data regarding the direction and strength of wind and predicted air quality information with respect to air pollution sources; and, through big data processing and analysis, comparatively analyzing the predicted data and predicted air quality information and real-time measurement values of site environment composite sensors, and correcting and supplementing elements of the wind field modeling and air quality modeling according to extracted pattern results Thus, the system is capable of enhancing the accuracy of prediction values, detecting, in advance, regions in which the degree of air quality of each pollution source is determined to be likely to reach a harmful level on the basis of the air quality modeling, displaying the same in spatiotemporal and time-series manners, and propagating situations to the outside

Air quality prediction and management system for early detection of environmental disasters

The embodiment of the invention discloses an animation display method, device and system for sand and dust meteorological disaster data. The method is applied to a server, and by applying the scheme provided by the embodiment of the invention, three-dimensional visual rendering can be performed on sand and dust disaster data based on a server-side intermediate layer caching technology and a client-side WEBGL technology. Moreover, when the sand and dust disaster data is displayed based on the client WEBGL technology, the client does not need to independently install a plug-in, and the convenience of sand and dust disaster data display can be improved. The method comprises the following steps: acquiring original DST data; corresponding IDDI data can be obtained through calculation; obtaininga random forest model according to pre-training; according to the sand and dust disaster data display method and device, the sand and dust disaster data is displayed to obtain the corresponding sandand dust intensity data, so that when the sand and dust disaster data is displayed, the displayed sand and dust intensity data is the sand and dust intensity data, and compared with original DST datadisplay, users can visually analyze, better utilize the disaster data and provide disaster early warning and reports for decision departments.

Animation display method, device and system for sand and dust meteorological disaster data

An air quality forecasting and managing system is disclosed. The present invention relates to a system for forecasting and managing air quality through a modeling technique. The present invention is able to forecast air quality synthetically by comprising: a forecast meteorological model module which forecasts future weather information by using an MM5/UM 72 hours forecast meteorological model which is a meteorological model provided by a meteorological administration; an air quality forecast management module which locally displays air quality by performing an aerosol analysis and a yellow dust modeling and calculating the concentration of each air pollutant; and a display module which displays a watch or warning area based on an air quality index and an image which are generated in the air quality forecast management module. [Reference numerals] (210) Emission data unit; (211) Meteorological model; (212) Satellite data unit; (220) Chemical transport model; (230) Aerosol dynamic model; (240) Natural yellow dust model; (260) Dust concentration calculating unit; (261) Gas concentration calculating unit; (262) Aerosol concentration calculating unit; (270) Regional air quality model

Air quality forecast and management system

A method for generating emission input data for community multiscale and air quality (CMAQ) is disclosed. The present invention inputs grid emission input data by automatically converting it into an input data type of a CMAQ model as emission data is generated in a sparse matrix operator kernel emissions modeling system (SMOKE) module as domestic emission (environment ministry CAPSS emission) and Asian emission (INTEX-B,2006). [Reference numerals] (AA) Start;(BB) End;(S210) Read model lattice information;(S211) Convert the information into emissions by unit area;(S212) Convert the information into emissions by unit lattice;(S213) Divide an annual emissions value into hourly emissions values;(S214) Emission information included?;(S215) Assign the emissions values to a model layer with a corresponding emitting altitude;(S216) Assign the emissions values to a model layer with a selected emitting altitude using a simple Plume Rise Model;(S217) Subdivide pollutants by chemical element;(S218) Store the information in the form of model input data

Emissions input data generation method for cmaq

Disclosed is a modeling system for radiation dose prediction, which is a system of modeling radiation doses for predicting and managing radiation exposure through a modeling technique. The system of the present invention is composed of the Lagrangian particle dispersion model (LPDM) for calculating the location and concentration of the relevant radiological particles; a meteorological field model for predicting past meteorological field information and future meteorological field information; and a Eulerian diffusion model (EDM) for receiving modeling data of the LPDM and meteorological data of the meteorological field model and performing modeling by having the spot of accident as the center, with a distance of 105 degrees latitude and 50 degrees longitude including a range of the LPDM model. According to the present invention, the system can predict radiation concentrations and doses in the Asian region and display an area in danger, thereby providing a quick response to radiation exposure accidents. [Reference numerals] (111) Meteorological field model (MM5/UM); (112) Topographical data unit; (120) EDM; (121) Radioactive decay; (122) Radioactive substance DB unit; (130) LPDM; (131) Wet/dry deposition; (132) Reactors DB; (140) Output unit; (150) Display unit

Choe An Na

Papers

Air quality forecast and management system

Emissions input data generation method for cmaq

Radiological dose modeling system for emergency response