Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard

Shao Jian; Yang Yuanyuan; Chen Min; Du QingYang

doi:doi:10.11648/j.sd.20210903.14

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Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard

Shao Jian, Yang Yuanyuan, Chen Min, Du QingYang

Published in Science Discovery (Volume 9, Issue 3)

Received: 26 March 2021 Published: 24 May 2021

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Abstract

In this paper, the characteristics of air quality index, air quality grade, pollutant concentration and the type of primary pollutant were tested, and the forecast result was analyzed by the daily observe and forecast data of air quality index, concentration of pollutants, primary pollutant types in Yinchuan from January 1st 2015 to December 31th 2018. The results showed that the forecast result was not satisfactory for the air quality grades. The annual TS of air quality grade forecast in Yinchuan were increased year by year, which between 20% and 40%，but the point out rates (PO) and the not hit rates (NH) were high, which showed a decreasing trend. For the weather with a good air quality grade, the TS were significantly higher than that of other grades. The average absolute error of the air quality index (AQI) forecast decreased over the year, and presented seasonal fluctuation characteristics, but increased with the pollution grades. The model was good at predictive capacity of primary pollutant types, which TS generally reached 40%-60%. There was little difference in the forecast results of each predictable scale by the simple and objective revise, that was to say, the forecast capability of the product had not been improved obviously with the variation of forecast timeliness, so that the forecast product should strive for more room for its improvement, which still has a long way to go.

Published in	Science Discovery (Volume 9, Issue 3)
DOI	10.11648/j.sd.20210903.14
Page(s)	108-113
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Air Quality Index, Pollutant Concentration, Primary Pollutant, Predictive Capacity

References

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APA Style

Shao Jian, Yang Yuanyuan, Chen Min, Du QingYang. (2021). Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard. Science Discovery, 9(3), 108-113. https://doi.org/10.11648/j.sd.20210903.14

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ACS Style

Shao Jian; Yang Yuanyuan; Chen Min; Du QingYang. Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard. Sci. Discov. 2021, 9(3), 108-113. doi: 10.11648/j.sd.20210903.14

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AMA Style

Shao Jian, Yang Yuanyuan, Chen Min, Du QingYang. Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard. Sci Discov. 2021;9(3):108-113. doi: 10.11648/j.sd.20210903.14

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@article{10.11648/j.sd.20210903.14,
  author = {Shao Jian and Yang Yuanyuan and Chen Min and Du QingYang},
  title = {Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard},
  journal = {Science Discovery},
  volume = {9},
  number = {3},
  pages = {108-113},
  doi = {10.11648/j.sd.20210903.14},
  url = {https://doi.org/10.11648/j.sd.20210903.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20210903.14},
  abstract = {In this paper, the characteristics of air quality index, air quality grade, pollutant concentration and the type of primary pollutant were tested, and the forecast result was analyzed by the daily observe and forecast data of air quality index, concentration of pollutants, primary pollutant types in Yinchuan from January 1st 2015 to December 31th 2018. The results showed that the forecast result was not satisfactory for the air quality grades. The annual TS of air quality grade forecast in Yinchuan were increased year by year, which between 20% and 40%，but the point out rates (PO) and the not hit rates (NH) were high, which showed a decreasing trend. For the weather with a good air quality grade, the TS were significantly higher than that of other grades. The average absolute error of the air quality index (AQI) forecast decreased over the year, and presented seasonal fluctuation characteristics, but increased with the pollution grades. The model was good at predictive capacity of primary pollutant types, which TS generally reached 40%-60%. There was little difference in the forecast results of each predictable scale by the simple and objective revise, that was to say, the forecast capability of the product had not been improved obviously with the variation of forecast timeliness, so that the forecast product should strive for more room for its improvement, which still has a long way to go.},
 year = {2021}
}

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TY  - JOUR
T1  - Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard
AU  - Shao Jian
AU  - Yang Yuanyuan
AU  - Chen Min
AU  - Du QingYang
Y1  - 2021/05/24
PY  - 2021
N1  - https://doi.org/10.11648/j.sd.20210903.14
DO  - 10.11648/j.sd.20210903.14
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 108
EP  - 113
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20210903.14
AB  - In this paper, the characteristics of air quality index, air quality grade, pollutant concentration and the type of primary pollutant were tested, and the forecast result was analyzed by the daily observe and forecast data of air quality index, concentration of pollutants, primary pollutant types in Yinchuan from January 1st 2015 to December 31th 2018. The results showed that the forecast result was not satisfactory for the air quality grades. The annual TS of air quality grade forecast in Yinchuan were increased year by year, which between 20% and 40%，but the point out rates (PO) and the not hit rates (NH) were high, which showed a decreasing trend. For the weather with a good air quality grade, the TS were significantly higher than that of other grades. The average absolute error of the air quality index (AQI) forecast decreased over the year, and presented seasonal fluctuation characteristics, but increased with the pollution grades. The model was good at predictive capacity of primary pollutant types, which TS generally reached 40%-60%. There was little difference in the forecast results of each predictable scale by the simple and objective revise, that was to say, the forecast capability of the product had not been improved obviously with the variation of forecast timeliness, so that the forecast product should strive for more room for its improvement, which still has a long way to go.
VL  - 9
IS  - 3
ER  -

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Author Information

Shao Jian

Key Laboratory of Characteristic Agro-meteorological Disaster Monitoring and Early Warning and Risk Management in Arid Regions, CMA, Yinchuan, China
Yang Yuanyuan

Ningxia Meteorological Observatory, Yinchuan, China
Chen Min

Yinchuan Meteorological Bureau, Yinchuan, China
Du QingYang

Yinchuan Meteorological Bureau, Yinchuan, China

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Plain Text BibTeX RIS

APA Style

Shao Jian, Yang Yuanyuan, Chen Min, Du QingYang. (2021). Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard. Science Discovery, 9(3), 108-113. https://doi.org/10.11648/j.sd.20210903.14

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ACS Style

Shao Jian; Yang Yuanyuan; Chen Min; Du QingYang. Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard. Sci. Discov. 2021, 9(3), 108-113. doi: 10.11648/j.sd.20210903.14

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AMA Style

Shao Jian, Yang Yuanyuan, Chen Min, Du QingYang. Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard. Sci Discov. 2021;9(3):108-113. doi: 10.11648/j.sd.20210903.14

Copy | Download

@article{10.11648/j.sd.20210903.14,
  author = {Shao Jian and Yang Yuanyuan and Chen Min and Du QingYang},
  title = {Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard},
  journal = {Science Discovery},
  volume = {9},
  number = {3},
  pages = {108-113},
  doi = {10.11648/j.sd.20210903.14},
  url = {https://doi.org/10.11648/j.sd.20210903.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20210903.14},
  abstract = {In this paper, the characteristics of air quality index, air quality grade, pollutant concentration and the type of primary pollutant were tested, and the forecast result was analyzed by the daily observe and forecast data of air quality index, concentration of pollutants, primary pollutant types in Yinchuan from January 1st 2015 to December 31th 2018. The results showed that the forecast result was not satisfactory for the air quality grades. The annual TS of air quality grade forecast in Yinchuan were increased year by year, which between 20% and 40%，but the point out rates (PO) and the not hit rates (NH) were high, which showed a decreasing trend. For the weather with a good air quality grade, the TS were significantly higher than that of other grades. The average absolute error of the air quality index (AQI) forecast decreased over the year, and presented seasonal fluctuation characteristics, but increased with the pollution grades. The model was good at predictive capacity of primary pollutant types, which TS generally reached 40%-60%. There was little difference in the forecast results of each predictable scale by the simple and objective revise, that was to say, the forecast capability of the product had not been improved obviously with the variation of forecast timeliness, so that the forecast product should strive for more room for its improvement, which still has a long way to go.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Inspection and Analysis of Air Quality Forecast Effect by Using 4 Years Data in Ningxia Base on the Newest National Standard
AU  - Shao Jian
AU  - Yang Yuanyuan
AU  - Chen Min
AU  - Du QingYang
Y1  - 2021/05/24
PY  - 2021
N1  - https://doi.org/10.11648/j.sd.20210903.14
DO  - 10.11648/j.sd.20210903.14
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 108
EP  - 113
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20210903.14
AB  - In this paper, the characteristics of air quality index, air quality grade, pollutant concentration and the type of primary pollutant were tested, and the forecast result was analyzed by the daily observe and forecast data of air quality index, concentration of pollutants, primary pollutant types in Yinchuan from January 1st 2015 to December 31th 2018. The results showed that the forecast result was not satisfactory for the air quality grades. The annual TS of air quality grade forecast in Yinchuan were increased year by year, which between 20% and 40%，but the point out rates (PO) and the not hit rates (NH) were high, which showed a decreasing trend. For the weather with a good air quality grade, the TS were significantly higher than that of other grades. The average absolute error of the air quality index (AQI) forecast decreased over the year, and presented seasonal fluctuation characteristics, but increased with the pollution grades. The model was good at predictive capacity of primary pollutant types, which TS generally reached 40%-60%. There was little difference in the forecast results of each predictable scale by the simple and objective revise, that was to say, the forecast capability of the product had not been improved obviously with the variation of forecast timeliness, so that the forecast product should strive for more room for its improvement, which still has a long way to go.
VL  - 9
IS  - 3
ER  -

Copy | Download