Predicting the Future: A Brief Introduction to Air Quality Forecasting
「Predicting the Future: A Brief Introduction to Air Quality Forecasting」於資料集「Environmental Policy Monthly」由單位「行政院環境保護署」的楊先生所提供，聯繫電話是(02)23117722#2217,(02)23117722#2216，最近更新時間為：2022-01-15 01:13:03。 欄位編號的內容是509 ， 欄位標題的內容是Predicting the Future: A Brief Introduction to Air Quality Forecasting ， 欄位摘要的內容是In order to raise the general public’s environmental awareness and get a better handle on air quality the EPA began daily air quality forecasting in 1992. By 1996, an island-wide forecasting network had been established. After many years of implementation, the quality of air quality forecasting is moving towards maturity. In the future, the EPA will raise forecasting accuracy through gradually developing a more objective forecasting system based on the special characteristics of various regions.
For the past several years, the EPA has been providing next-day forecasts of air quality throughout Taiwan. This service is offered with the intention of raising the public’s awareness of the surrounding environment and to remind the public to abide by relevant support measures when poor air quality days are eminent.
Air quality forecasting works under the basic assumption that daily emissions of air pollutants change less than the weather changes; therefore, changes in weather can be used to predict air quality the next day.
For practical and technical reasons, all EPA air quality forecasts use the Pollution Standard Index (PSI) and rather than pollutant concentrations so that the public can more easily grasp air quality status. Because the major indicator pollutants in Taiwan are particulate matter and ozone, the EPA next-day forecasts are mainly based on these two pollutants. The forecasts are valid for the next 24 hours.
Since January 1992, the EPA has made use of weather surveys to forecast next-day air quality for the greater Taipei region. In August 1992, forecasting for the greater Kaohsiung area was also initiated. These initial forecasting methods used particulate matter as the indicator pollutant, and in April 1993, ozone was added as another indicator pollutant.
By December 1993, forecasting was expanded to include Keelung City in the north and all of the Tainan-Kaohsiung-Pingtung region in the south. One year later, 66 air quality monitoring stations throughout the island were completed, thereby allowing Taiwan to be divided into eight forecasting districts. In this same year, the Taichung-Changua area was also brought under the forecasting umbrella; and by March 1995, the areas of Hualien, Taitung, Taoyuan, Hsinchu, Miaoli and Yi-lan were also added.
Finally, four years after initial implementation, the remaining areas of Nantou and Yun-lin were added. This completed the island-wide network for forecasting next-day air quality values of particulate matter and ozone PSI.
The process of forecasting involves utilizing the most recent data from air quality monitoring stations to analyze regional air pollutant concentrations and meteorological conditions. After initial analyses are performed, air quality data from the Taiwanese and Japanese weather bureaus is used to analyze weather conditions in Taiwan and the state of regional air circulation. After integrating these two types of data, model simulations are performed, and the data is interpreted by experienced forecasting personnel to make an initial prediction of air quality values for the next day. Prediction data are provided daily to the media and to environmental agencies, as well as put on the EPA website so that the public can review the data at their leisure.
Changes in space and time, for air quality forecasting is more complicated than in general meteorological forecasting. Even after many years of research and development, there is still uncertainty inherent in weather forecasting. Given this uncertainty, the use of weather forecasts to predict air quality is an important topic of discussion. Since 1992 when the EPA began air quality forecasting, with the help of academics and experts initial results have already been seen. Current goals include improving the forecasting assistance system and reporting methods. A database of weather patterns will also be actively developed and will allow for the systematic evaluation of errors and thereby raise forecasting accuracy. ， 欄位全文的內容是In order to raise the general public’s environmental awareness and get a better handle on air quality the EPA began daily air quality forecasting in 1992. By 1996, an island-wide forecasting network had been established. After many years of implementation, the quality of air quality forecasting is moving towards maturity. In the future, the EPA will raise forecasting accuracy through gradually developing a more objective forecasting system based on the special characteristics of various regions.
For the past several years, the EPA has been providing next-day forecasts of air quality throughout Taiwan. This service is offered with the intention of raising the public’s awareness of the surrounding environment and to remind the public to abide by relevant support measures when poor air quality days are eminent.
Air quality forecasting works under the basic assumption that daily emissions of air pollutants change less than the weather changes; therefore, changes in weather can be used to predict air quality the next day.
For practical and technical reasons, all EPA air quality forecasts use the Pollution Standard Index (PSI) and rather than pollutant concentrations so that the public can more easily grasp air quality status. Because the major indicator pollutants in Taiwan are particulate matter and ozone, the EPA next-day forecasts are mainly based on these two pollutants. The forecasts are valid for the next 24 hours.
Since January 1992, the EPA has made use of weather surveys to forecast next-day air quality for the greater Taipei region. In August 1992, forecasting for the greater Kaohsiung area was also initiated. These initial forecasting methods used particulate matter as the indicator pollutant, and in April 1993, ozone was added as another indicator pollutant.
By December 1993, forecasting was expanded to include Keelung City in the north and all of the Tainan-Kaohsiung-Pingtung region in the south. One year later, 66 air quality monitoring stations throughout the island were completed, thereby allowing Taiwan to be divided into eight forecasting districts. In this same year, the Taichung-Changua area was also brought under the forecasting umbrella; and by March 1995, the areas of Hualien, Taitung, Taoyuan, Hsinchu, Miaoli and Yi-lan were also added.
Finally, four years after initial implementation, the remaining areas of Nantou and Yun-lin were added. This completed the island-wide network for forecasting next-day air quality values of particulate matter and ozone PSI.
The process of forecasting involves utilizing the most recent data from air quality monitoring stations to analyze regional air pollutant concentrations and meteorological conditions. After initial analyses are performed, air quality data from the Taiwanese and Japanese weather bureaus is used to analyze weather conditions in Taiwan and the state of regional air circulation. After integrating these two types of data, model simulations are performed, and the data is interpreted by experienced forecasting personnel to make an initial prediction of air quality values for the next day. Prediction data are provided daily to the media and to environmental agencies, as well as put on the EPA website so that the public can review the data at their leisure.
Changes in space and time, for air quality forecasting is more complicated than in general meteorological forecasting. Even after many years of research and development, there is still uncertainty inherent in weather forecasting. Given this uncertainty, the use of weather forecasts to predict air quality is an important topic of discussion. Since 1992 when the EPA began air quality forecasting, with the help of academics and experts initial results have already been seen. Current goals include improving the forecasting assistance system and reporting methods. A database of weather patterns will also be actively developed and will allow for the systematic evaluation of errors and thereby raise forecasting accuracy. ， 欄位年度的內容是2000 ， 欄位月份的內容是3 ， 欄位卷的內容是3 ， 欄位期的內容是9 ， 欄位順序的內容是1 ， 欄位倒序的內容是2 ， 欄位分類的內容是air ， 欄位標題2的內容是Predicting the Future: A Brief Introduction to Air Quality Forecasting ， 欄位檔案位置的內容是print/V3/V3-09 。
編號
509
標題
Predicting the Future: A Brief Introduction to Air Quality Forecasting
摘要
In order to raise the general public’s environmental awareness and get a better handle on air quality the EPA began daily air quality forecasting in 1992. By 1996, an island-wide forecasting network had been established. After many years of implementation, the quality of air quality forecasting is moving towards maturity. In the future, the EPA will raise forecasting accuracy through gradually developing a more objective forecasting system based on the special characteristics of various regions. For the past several years, the EPA has been providing next-day forecasts of air quality throughout Taiwan. This service is offered with the intention of raising the public’s awareness of the surrounding environment and to remind the public to abide by relevant support measures when poor air quality days are eminent. Air quality forecasting works under the basic assumption that daily emissions of air pollutants change less than the weather changes; therefore, changes in weather can be used to predict air quality the next day. For practical and technical reasons, all EPA air quality forecasts use the Pollution Standard Index (PSI) and rather than pollutant concentrations so that the public can more easily grasp air quality status. Because the major indicator pollutants in Taiwan are particulate matter and ozone, the EPA next-day forecasts are mainly based on these two pollutants. The forecasts are valid for the next 24 hours. Since January 1992, the EPA has made use of weather surveys to forecast next-day air quality for the greater Taipei region. In August 1992, forecasting for the greater Kaohsiung area was also initiated. These initial forecasting methods used particulate matter as the indicator pollutant, and in April 1993, ozone was added as another indicator pollutant. By December 1993, forecasting was expanded to include Keelung City in the north and all of the Tainan-Kaohsiung-Pingtung region in the south. One year later, 66 air quality monitoring stations throughout the island were completed, thereby allowing Taiwan to be divided into eight forecasting districts. In this same year, the Taichung-Changua area was also brought under the forecasting umbrella; and by March 1995, the areas of Hualien, Taitung, Taoyuan, Hsinchu, Miaoli and Yi-lan were also added. Finally, four years after initial implementation, the remaining areas of Nantou and Yun-lin were added. This completed the island-wide network for forecasting next-day air quality values of particulate matter and ozone PSI. The process of forecasting involves utilizing the most recent data from air quality monitoring stations to analyze regional air pollutant concentrations and meteorological conditions. After initial analyses are performed, air quality data from the Taiwanese and Japanese weather bureaus is used to analyze weather conditions in Taiwan and the state of regional air circulation. After integrating these two types of data, model simulations are performed, and the data is interpreted by experienced forecasting personnel to make an initial prediction of air quality values for the next day. Prediction data are provided daily to the media and to environmental agencies, as well as put on the EPA website so that the public can review the data at their leisure. Changes in space and time, for air quality forecasting is more complicated than in general meteorological forecasting. Even after many years of research and development, there is still uncertainty inherent in weather forecasting. Given this uncertainty, the use of weather forecasts to predict air quality is an important topic of discussion. Since 1992 when the EPA began air quality forecasting, with the help of academics and experts initial results have already been seen. Current goals include improving the forecasting assistance system and reporting methods. A database of weather patterns will also be actively developed and will allow for the systematic evaluation of errors and thereby raise forecasting accuracy.
全文
In order to raise the general public’s environmental awareness and get a better handle on air quality the EPA began daily air quality forecasting in 1992. By 1996, an island-wide forecasting network had been established. After many years of implementation, the quality of air quality forecasting is moving towards maturity. In the future, the EPA will raise forecasting accuracy through gradually developing a more objective forecasting system based on the special characteristics of various regions. For the past several years, the EPA has been providing next-day forecasts of air quality throughout Taiwan. This service is offered with the intention of raising the public’s awareness of the surrounding environment and to remind the public to abide by relevant support measures when poor air quality days are eminent. Air quality forecasting works under the basic assumption that daily emissions of air pollutants change less than the weather changes; therefore, changes in weather can be used to predict air quality the next day. For practical and technical reasons, all EPA air quality forecasts use the Pollution Standard Index (PSI) and rather than pollutant concentrations so that the public can more easily grasp air quality status. Because the major indicator pollutants in Taiwan are particulate matter and ozone, the EPA next-day forecasts are mainly based on these two pollutants. The forecasts are valid for the next 24 hours. Since January 1992, the EPA has made use of weather surveys to forecast next-day air quality for the greater Taipei region. In August 1992, forecasting for the greater Kaohsiung area was also initiated. These initial forecasting methods used particulate matter as the indicator pollutant, and in April 1993, ozone was added as another indicator pollutant. By December 1993, forecasting was expanded to include Keelung City in the north and all of the Tainan-Kaohsiung-Pingtung region in the south. One year later, 66 air quality monitoring stations throughout the island were completed, thereby allowing Taiwan to be divided into eight forecasting districts. In this same year, the Taichung-Changua area was also brought under the forecasting umbrella; and by March 1995, the areas of Hualien, Taitung, Taoyuan, Hsinchu, Miaoli and Yi-lan were also added. Finally, four years after initial implementation, the remaining areas of Nantou and Yun-lin were added. This completed the island-wide network for forecasting next-day air quality values of particulate matter and ozone PSI. The process of forecasting involves utilizing the most recent data from air quality monitoring stations to analyze regional air pollutant concentrations and meteorological conditions. After initial analyses are performed, air quality data from the Taiwanese and Japanese weather bureaus is used to analyze weather conditions in Taiwan and the state of regional air circulation. After integrating these two types of data, model simulations are performed, and the data is interpreted by experienced forecasting personnel to make an initial prediction of air quality values for the next day. Prediction data are provided daily to the media and to environmental agencies, as well as put on the EPA website so that the public can review the data at their leisure. Changes in space and time, for air quality forecasting is more complicated than in general meteorological forecasting. Even after many years of research and development, there is still uncertainty inherent in weather forecasting. Given this uncertainty, the use of weather forecasts to predict air quality is an important topic of discussion. Since 1992 when the EPA began air quality forecasting, with the help of academics and experts initial results have already been seen. Current goals include improving the forecasting assistance system and reporting methods. A database of weather patterns will also be actively developed and will allow for the systematic evaluation of errors and thereby raise forecasting accuracy.
年度
2000
月份
3
卷
3
期
9
順序
1
倒序
2
分類
air
標題2
Predicting the Future: A Brief Introduction to Air Quality Forecasting
檔案位置
print/V3/V3-09
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