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

PM2.5 Concentration Prediction Method for Microscopic Time-series Modeling of Precipitation Wet Clearance Process

A technology for clearing process and concentration prediction, applied in prediction, data processing application, calculation, etc., to achieve the effect of improving immediacy and application ability

Active Publication Date: 2021-11-09
浙江中海达空间信息技术有限公司 +1
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the object of the present invention is to provide a PM2.5 concentration prediction method for microscopic time-series modeling of the precipitation wet removal process, which overcomes the PM2.5 hourly concentration value that is difficult to obtain forecast information under the influence of precipitation The problem

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
  • PM2.5 Concentration Prediction Method for Microscopic Time-series Modeling of Precipitation Wet Clearance Process
  • PM2.5 Concentration Prediction Method for Microscopic Time-series Modeling of Precipitation Wet Clearance Process
  • PM2.5 Concentration Prediction Method for Microscopic Time-series Modeling of Precipitation Wet Clearance Process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0044] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0045] Below in conjunction with accompanying drawing and embodiment the present invention will be further descr...

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 relates to the PM2.5 concentration prediction method of the microcosmic time series modeling of the precipitation wet removal process, the steps are as follows, step 1, the precipitation microcosmic time series process extraction: carry out the preprocessing of the environmental elements of the regional air quality and meteorological observation data; Step 2, utilize The quantitative analysis method builds an effect model based on the characteristics and laws of precipitation on the wet removal process of PM2.5 in the air, including the effect process, effect index and effect model; step 3, based on the precipitation effect process model, builds a sequence for PM2.5 concentration and environment Statistical feature classifier, in order to obtain the commonality and characteristics of a large number of precipitation samples; step 4, input the easy-to-obtain precipitation and meteorological data in the future time period, use the classifier to pre-classify the effect mode of a certain precipitation process, and generate the future precipitation process Change trend of PM2.5 concentration in China. The invention realizes the hourly PM2.5 concentration prediction according to the easily acquired future precipitation data.

Description

technical field [0001] The invention belongs to the technical field of geographic time series data processing, and in particular relates to a PM2.5 concentration prediction method for microscopic time series modeling of precipitation wet removal process. Background technique [0002] Precipitation can absorb a large amount of water-soluble ions in pollutants through wet deposition, and has a good removal effect on PM2.5. Continuous precipitation refers to the process of two or more precipitations in a certain period of time. It has the characteristics of intermittent, slow change, and uncertain duration. Clearance mechanisms and effects urgently need a research method that fully considers the process of continuous change. [0003] At present, the research on the concentration of PM2.5 removed by precipitation and moisture stays at the level of large-scale time data. For example, the average value of regional precipitation and the average value of PM2.5 concentration are cal...

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): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/067
Inventor 伍庭晨谢潇朱庆刘涛张叶廷鄂超
Owner 浙江中海达空间信息技术有限公司