Regional air quality management and control evaluation and quantification method

The invention discloses a regional air quality management and control evaluation quantification method. The method comprises the following steps of S1, performing correlation analysis on model prediction day data Xi and actual monitoring day data Yi of a certain city air quality model in the previou...

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Hauptverfasser:	YUAN SHUIXING, WANG XIUJUN, HUANG LIUQUN, DING XIANG, LU WENQIANG, CAO CHENCHEN, SHI WEI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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creator	YUAN SHUIXING WANG XIUJUN HUANG LIUQUN DING XIANG LU WENQIANG CAO CHENCHEN SHI WEI
description	The invention discloses a regional air quality management and control evaluation quantification method. The method comprises the following steps of S1, performing correlation analysis on model prediction day data Xi and actual monitoring day data Yi of a certain city air quality model in the previous year; and S2, performing difference value operation on model prediction day data Xi with high correlation and actual monitoring day data Yi, namely d = Xi-Yi, taking an average value # imgabs0 # of a difference value d, subtracting the average value # imgabs1 # from the model prediction day data Xi to obtain actual prediction correction day data X'i, and performing linear regression on the actual prediction correction day data X'i and the actual monitoring day data Yi by # imgabs2 # to obtain a linear regression equation. According to the regional air quality management and control evaluation quantification method, the effect of manual management and control of regional air quality can be effectively evaluated; a
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The method comprises the following steps of S1, performing correlation analysis on model prediction day data Xi and actual monitoring day data Yi of a certain city air quality model in the previous year; and S2, performing difference value operation on model prediction day data Xi with high correlation and actual monitoring day data Yi, namely d = Xi-Yi, taking an average value # imgabs0 # of a difference value d, subtracting the average value # imgabs1 # from the model prediction day data Xi to obtain actual prediction correction day data X'i, and performing linear regression on the actual prediction correction day data X'i and the actual monitoring day data Yi by # imgabs2 # to obtain a linear regression equation. 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subjects	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title	Regional air quality management and control evaluation and quantification method
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