The invention relates to a pollution source identification method and a system thereof. The pollution source identification method includes the steps that a monitoring area is divided into a pluralityof grids; monitoring devices are laid in the grids to establish a monitoring network; raw data are collected from the monitoring network, and the raw data include meteorological data, geographical data and pollution data; the suspected pollution source grid is determined by analyzing the raw data; and an air pollution diffusion model and original data are used for predicting the location of the maximum pollution concentration in the suspected pollution source grid.

Pollution source identification method and system thereof

The invention discloses a monitoring point optimized layout method for emergency monitoring of sudden atmospheric pollution accidents, and belongs to the technical field of environmental risk early warning and evaluation. According to the method, a pollutant diffusion model is used for determining the diffusion range and concentration distribution characteristics of pollutants after an accident occurs, and the point distribution range is meshed based on the down-wind direction environment sensitive point distribution characteristics; the uncertainty among influence factors of emergency monitoring distribution points such as geography and environment sensitive source distribution is quantitatively processed through a fuzzy evaluation theory, different grids are screened in combination witha post-optimization technology based on clustering analysis, and the positions and the number of emergency monitoring points are determined according to the monitoring resource quantity. According tothe optimized stationing method, uncertainty existing in optimized stationing is quantitatively converted and processed, the influence of different factors on monitoring stationing is represented, andthe defect that emergency monitoring stationing of sudden atmospheric pollution accidents can only refer to monitoring specifications and historical working experience of conventional pollutants is overcome.

Monitoring point optimization layout method for emergency monitoring of sudden atmospheric pollution accidents

The invention discloses an intelligent analysis system for an air heavy pollution process. The intelligent analysis system comprises a heavy pollution weather cause diagnosis unit, wherein the heavy pollution weather cause diagnosis unit comprises a heavy pollution case query module, a heavy pollution case management module and a case analysis project configuration module which are mutually connected; the heavy pollution case query module is used for inputting a specified time slot and querying all heavy pollution cases in the specified time slot; the heavy pollution case management module isused for automatically extracting the time slot when heavy pollution occurs from an AQI (Air Quality Index) data sheet monitored at background by a program to serve as a heavy pollution case; the caseanalysis project configuration module is used for enabling an administrator to select whether each parameter in the heavy pollution case management is valid or not so as to configure a heavy pollution case management display interface; the heavy pollution case management module comprises a time evolution module, a space distribution module and a meteorological contrast module which are mutually connected. According to the intelligent analysis system disclosed by the invention, analysis efficiency of the heavy pollution case can be improved.

Intelligent analysis system for air heavy pollution process

The invention provides a weather situation display method and device, electronic equipment and a storage medium, and relates to the technical field of weather forecast, and the method comprises the steps: obtaining a weather situation distribution diagram at a specified moment, wherein the weather situation distribution diagram comprises a first grid point coordinate; obtaining at least one kind of weather element distribution data at the specified moment, wherein the weather element distribution data comprises second grid point coordinates and weather element data corresponding to the secondgrid point coordinates; and matching the second grid point coordinates with the first grid point coordinates, and superposing the corresponding weather element data to a weather situation distributiondiagram. A weather situation distribution diagram is drawn according to grid data of a weather numerical forecasting product, and weather element distribution data is drawn on the weather situation distribution diagram according to time and position coordinates according to regional weather characteristics, so that an interactive weather situation distribution diagram which is more intuitive in observation and more convenient to judge is formed, and the forecasting accuracy is improved.

Weather situation display method and device, electronic equipment and storage medium

The invention discloses an objective weather typing method based on numerical statistics. The objective weather typing method based on numerical statistics comprises the following steps of: (1) downloading long-time global weather re-analysis data, and selecting 850 hPa height layer specific weather elements specific to time every day as determining factors; (2) before the weather is subjected to parting by using a computer, performing standardized calculation of the meteorological grid point data; (3) integrating and monitoring physical and chemical parameters of a heavy-load airship, an unmanned aerial vehicle and an airborne atmosphere; (4) calculating and selecting typical weather types of representative days; (5) calculating standard deviation indexes of the typical weather types of representative days and a certain day, and classifying all the weather types into one typical weather type; and (6) repeating the objective weather classification step to classify the weather types of the next week. The objective weather typing method is high in universality, timeliness and objectivity, and objective typing of long-term weather types in the past and weather typing forecasting of a week in the future can be achieved rapidly and accurately.

Objective weather typing method based on numerical statistics

An air heavy pollution case judging method based on weather classification and meteorological element clustering comprises the following steps: classifying main weather systems and meteorological elements affecting PM2.5 concentration distribution from a meteorological point of view of factors influencing air pollution diffusion based on historical data of meteorological elements and monitored PM2.5 hourly data, and innovatively establishing a weather classification and pollutant source analysis algorithm based on a backward track pattern; and on the basis of the numerical WRF simulation result, looking for cases similar to typical weather situations of pollution weather in the same season in the history to serve for air quality forecast. A weather classification method and a numerical calculation simulation method are combined, which improves the accuracy of forecast results and reasonably avoids abnormality in numerical calculation results; an automatic classification similarity forecast method is built, which makes air quality forecast more business-oriented; and the cause and source of heavy pollution can be analyzed, and the applicability of the algorithm is improved greatly.

Cheng Nianliang

Papers

Air heavy pollution case judging method based on weather classification and meteorological element clustering