Unlock instant, AI-driven research and patent intelligence for your innovation.

Large-range haze prediction method and system based on atmospheric stability

A stable and large-scale technology, applied in weather forecasting, meteorology, climate sustainability, etc., can solve the problem of less research on haze forecasting, and achieve the effect of clear thinking, accurate forecasting, and strong practicability

Active Publication Date: 2019-03-12
STATE GRID HUNAN ELECTRIC POWER +2
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, most of the research on haze focuses on haze monitoring and purification, and there are relatively few studies on haze prediction. Therefore, a practical method for forecasting the duration of large-scale haze is urgently needed.

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
  • Large-range haze prediction method and system based on atmospheric stability
  • Large-range haze prediction method and system based on atmospheric stability
  • Large-range haze prediction method and system based on atmospheric stability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043]The so-called smog live data in the present embodiment include: smog area range, location of the forecast location and fine particulate matter concentration index; the historical PM2.5 concentration observation data and smog process data from late autumn to early winter include: The time of appearance, development and dissipation of smog, and the evolution data of smog concentration; weather data, weather forecast information, historical weather condition data from late autumn to early winter season, weather condition data of smog development stage, and smog dispersal stage The weather condition data and live weather data include the following meteorological elements: near-surface temperature, humidity, wind speed, wind direction, temperature, humidity and wind field profile in the vertical direction from the ground to the upper floors.

[0044] see figure 2 , the forecasting method of the large-scale haze based on atmospheric stability of the present embodiment, compri...

Embodiment 2

[0062] The present embodiment is the application example of embodiment 1, and the large-scale haze duration forecasting method based on weather conditions of the present embodiment comprises the following steps:

[0063] Select Shijiazhuang, a city in the central and southern regions of the North China Plain where large-scale smog occurs frequently, and take the large-scale smog process from December 30, 2016 to January 7, 2017 as an example to carry out the forecast of the duration of smog, and the forecast start time is 2017 January 2.

[0064] (1) Data collection.

[0065] The collected data mainly include the following:

[0066] Obtained the real situation of smog and haze in and around Shijiazhuang on December 30, 2016 through the China Air Quality Online Monitoring and Analysis Platform, mainly including the haze area (the distance from north to south of the haze area L 1 , east-west distance L 2 ), the position of the forecast location in the haze area (to the northe...

Embodiment 3

[0090] The present invention also provides a computer system, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the steps in any of the above embodiments are realized.

[0091] In summary, the present invention can determine the smog development stage where the future weather conditions are located by establishing the smog event model in the forecast area; furthermore, the establishment of the smog maintenance time model can realize accurate forecasting of the duration of the large-scale smog , strong practicability, the method has clear thinking and high accuracy.

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 invention discloses a large-range haze prediction method and system based on atmospheric stability, the method comprises the following steps of: collecting real-time haze condition data in a prediction area, real-time ambient weather data, ambient weather prediction information, historical PM2.5 concentration observation data and haze process data from end of autumn to beginning of winter as well as historical weather condition data from the end of autumn to the beginning of winter for establishing a haze event model of the prediction area; analyzing weather real-time data and weather prediction information of the prediction area; comparing the weather data and the weather prediction information with a haze event model to determine the haze stage of the future weather condition: according with the haze development trend, haze dissipation trend or the same as the current condition. According to the method, the haze development stage of the future weather condition can be determined,and the method is clear in thought and high in accuracy.

Description

technical field [0001] The invention relates to the technical field of power grid protection, in particular to a method and system for forecasting large-scale haze based on atmospheric stability. Background technique [0002] Haze is a disastrous weather phenomenon formed by the interaction of specific climate conditions and human activities. The economic and social activities of a high-density population will emit a large amount of fine particles. Once the emission exceeds the atmospheric circulation capacity and carrying capacity, the concentration of fine particles will continue to accumulate. If affected by stable weather, large-scale smog will easily appear, which is harmful to people's health. , the ecological environment, and traffic safety have been seriously affected, and smog has become one of the important issues related to the national economy and people's livelihood in our country. Aiming at the problem of smog, reducing pollution sources and reducing the emiss...

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 Applications(China)
IPC IPC(8): G01W1/10
CPCG01W1/10Y02A90/10
Inventor 陆佳政李丽李波冯涛蔡泽林邸悦伦
Owner STATE GRID HUNAN ELECTRIC POWER