Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Ensemble forecasting method and system for numerical forecasting of atmospheric haze

A technology of numerical forecasting and ensemble forecasting, applied in weather condition forecasting, meteorology, measuring devices, etc., can solve problems such as the inability of power grid enterprises to optimize power generation scheduling, and achieve the effects of reducing usage, reducing interference, and reducing smog

Active Publication Date: 2021-03-09
STATE GRID HUNAN ELECTRIC POWER +2
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide an ensemble forecast method and system for numerical forecasting of atmospheric smog to solve the problem in the prior art that it is impossible to scientifically and reasonably guide power grid enterprises to optimize power generation scheduling according to the degree of atmospheric smog

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Ensemble forecasting method and system for numerical forecasting of atmospheric haze
  • Ensemble forecasting method and system for numerical forecasting of atmospheric haze

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] An embodiment of an ensemble forecasting method for numerical forecasting of atmospheric haze according to the present invention. The ensemble forecasting method for numerical forecasting of atmospheric haze specifically includes the following steps:

[0030] Step S100: select the region for ensemble forecasting to be the central and eastern regions of my country, and the specific latitude and longitude range is from 100° east longitude to 120° east longitude, and from 20° north latitude to 55° north latitude, and divide this area into a grid of 9 kilometers by 9 kilometers;

[0031] Step S200: Collect the initial field data and boundary condition data of the global models of China, the United States and the United Kingdom at 12:00 (UT) on January 1, 2019, and select the initial field data and boundary conditions of -6h, 0h and +6h Data, used as initial field data and boundary condition data at different start times;

[0032] Step S300: Interpolate the initial field da...

Embodiment 2

[0035] see figure 1 , an embodiment of an ensemble forecasting method for numerical forecasting of atmospheric haze according to the present invention. The ensemble forecasting method for numerical forecasting of atmospheric haze specifically includes the following steps:

[0036] Step S100: select the region for ensemble forecasting to be the central and eastern regions of my country, and the specific latitude and longitude range is from 100° east longitude to 120° east longitude, and from 20° north latitude to 55° north latitude, and divide this area into a grid of 9 kilometers by 9 kilometers;

[0037] Step S200: Collect the initial field data and boundary condition data of the global models of China, the United States and the United Kingdom at 12:00 (UT) on January 1, 2019, and select the initial field data and boundary conditions of -6h, 0h and +6h Data, used as initial field data and boundary condition data at different start times;

[0038] Step S300: Interpolate the ...

Embodiment 3

[0043] see figure 2 , an ensemble forecasting system for numerical forecasting of atmospheric haze according to an embodiment of the present invention. The ensemble forecast system mainly includes an area selection and division module 101 , a data selection module 102 , a data interpolation module 103 , a spatial distribution data generation module 104 and an ensemble forecast result calculation module 105 .

[0044] Wherein, the area selection and division module 101 is used to select the areas that need to carry out the haze numerical forecast, and divide the areas into equal longitude and latitude grids;

[0045] The data selection module 102 is used to collect the initial field data and boundary condition data of various climate models, and select a plurality of different start times close to the current time from the initial field data and boundary condition data of each climate model respectively The initial field data and boundary condition data of ;

[0046] The dat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides an ensemble forecasting method and system for numerical forecasting of atmospheric haze, wherein the ensemble forecasting method includes: selecting an area where numerical forecasting of haze needs to be carried out, and dividing the area into grids of equal latitude and longitude; collecting multiple climate models From the initial field data and boundary condition data of each climate model, select the data of multiple different start times close to the current time; the data of different start time will be selected Perform interpolation according to the equal latitude and longitude grid to obtain grid data of uniform grid points; select the regional numerical prediction model and select different boundary layer parameterization schemes, input the grid data into the regional numerical prediction model respectively, and carry out the grid data Numerical integration calculations generate multiple sets of spatial distribution data of air pollutants at different times in the future. The method and system can scientifically guide power grid enterprises to optimize power generation scheduling, thereby reducing smog concentration.

Description

technical field [0001] The invention relates to the technical field of atmospheric environment and power grid dispatching, in particular to an ensemble forecasting method and system for numerical forecasting of atmospheric haze. Background technique [0002] With the continuous development and strengthening of my country's industrial volume, the sources of industrial emissions continue to increase, resulting in the frequent occurrence of atmospheric smog, which has a serious impact on the health of residents. [0003] When thermal power plants generate electricity, a large amount of smoke is produced, which is one of the reasons for the formation of atmospheric smog. When the atmospheric smog is serious, the use of thermal power plants to generate electricity will increase the concentration of smog. [0004] If the power grid enterprises can carry out reasonable power generation scheduling, increase the grid connection of clean energy, and appropriately reduce the use of th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10
CPCG01W1/10
Inventor 陆佳政蔡泽林冯涛徐勋建叶钰邸悦伦怀晓伟
Owner STATE GRID HUNAN ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com