Trend Analysis of Air Quality Index (AQI) and Greenhouse Gas (GHG) Emissions in Taiwan and Their Regulatory Countermeasures
Abstract
:1. Introduction
2. Data Mining and Methodology
2.1. AQI in Taiwan
2.2. Inventory of GHG Emissions from the Energy Sector
2.3. Regulatory Measures for Controlling the Emissions of Air Pollutants and Relevant GHG
3. Results and Discussion
3.1. Trend Analysis of Air Quality Index (AQI)
3.1.1. Air Quality Standards in Taiwan
3.1.2. Trend Analysis of Air Quality Index (AQI) in Taiwan
3.2. Trend Analysis of Greenhouse Gas Emissions with Relevance to Air Quality
- During the period of 2005–2019, the change in the total emissions did not vary much with the exception in 2009, ranging from 249.9 to 269.1 MtCO2eq. An increase of 7.68% in the GHG emission was obtained at an average annual growth rate of 0.57%. The total GHG emission in 2018 was slightly lower than the previous year by 0.88%. This stable situation was mainly due to the regulatory measures and promotional actions, including renewable energy development, improvement of energy efficiency, and energy conservation [42,43,44]. For example, the electricity generation by renewable energy sources significantly increased from 7808 GWh in 2009, to 15,247 GWh in 2019 [45]. Herein, the data in 2019 were estimated by the authors based on the energy statistics in 2019 [45].
- In terms of the emission sources in the energy sector, the contribution percentage of GHG emissions from the energy (electricity generation from power plants using fossil fuels) industry indicated a slight increase from 62.8% in 2005, to 70.6% in 2018. On the other hand, the contribution percentages of GHG emissions from the industrial manufacturing & construction industries, transportation, and other sources showed a decreasing trend.
- Among these sources in the energy sector, the contribution percentage of GHG emissions from the industrial manufacturing and construction industries significantly reduced from 42.9 MtCO2eq in 2005, to 32.8 MtCO2eq in 2019. This decline should be attributed to the industrial policy for shifting to high-tech industries and energy management policy for enhancing energy efficiencies during this period. For example, the data on energy intensity decreased from 6.38 in 2005, to 4.44 L of oil equivalent per NT$1000 (about US$35) in 2019 [45].
3.3. Air Quality Management Measures for Combating Climate Change in Taiwan
3.3.1. Control Measures for Mobile Sources of Air Pollution
- 1.
- New vehicle control measures
- -
- Phased implementation of stricter vehicle emission standards
- -
- New vehicle model inspection and testing system in compliance with emission standards
- 2.
- On-road vehicle emissions control measures
- -
- Routine exhaust emissions inspection and testing program
- -
- Motorcycles and diesel engine automobile spot check
- -
- Remote sensing of emissions from gasoline engine automobiles
- -
- Urging the public to identify and report on-road gross polluters or other high-emission vehicles
- -
- Eliminating old vehicles and two-stroke engine motorcycles
- -
- Enhancing the quality of exhaust emissions inspection and testing of in-use gasoline and diesel engine automobiles
- 3.
- Clean alternative fuel promotion measures
- -
- Subsidizing the price of liquefied petroleum gas (LPG)
- -
- Setting control measures of automobile gasoline and diesel fuels (e.g., setting more stringent standards for the sulfur content of automobile fuels)
- -
- Enforcing the air pollution control fee program
- -
- Cracking down on illegal fuel
- -
- Adding more LPG vehicles and LPG filling stations
- -
- Promoting the use of bio-diesel fuel and ethanol gasoline
- 4.
- Low-pollution vehicles promotion measures
- -
- Advocating the use of low-pollution motorcycles
- -
- Subsidizing the purchase of electric auxiliary bicycles
- -
- Promoting the use of hybrid vehicles
- -
- Advocating bike lanes
- 5.
- Traffic management measures
- -
- Promoting the use of public transportation
- -
- Expanding paid motorcycle parking areas
- -
- Revising the traffic code to curb the growth of motor vehicles
- -
- Designating clean air zones that prohibit the entry of any motor vehicles
3.3.2. Control Measures for Stationary Sources of Air Pollution
- -
- Evaluation of the total quantity control zones
- -
- Stationary pollution source installation and operating permit management
- -
- Air pollution control fee system
- -
- Improved control of fugitive dust pollution sources
- -
- Reinforcing control of dioxins and other hazardous air pollutants
- -
- Boiler replacement subsidy
- -
- Control of volatile organic compounds (VOCs) from consumer products
- -
- Continuous emission monitoring system
- -
- Response to air pollution emergency
- -
- Control, monitoring, and improvement of volatile organic air pollutants
3.4. Sustainable Development Goals for Air Quality and GHG Emissions in Taiwan
3.4.1. Sustainable Development Goals for Air Quality by 2030 in Taiwan
3.4.2. Sustainable Development Goals for GHG Emissions by 2030 in Taiwan
- 1.
- Goals by 2020According to the first period for GHG emission control goals approved by the Taiwan government in January 2018, the net GHG emissions by 2020 must reduce by 2%, as compared to the baseline year (2016); that is, 260.717 MtCO2eq. Furthermore, the goals for the GHG emissions by various sectors were given below:
- Energy sector: 32.305 MtCO2eq (reduced by 3% compared to the 2005 level).
- -
- Carbon emission factor: 0.492 kg CO2eq/kWh (exclusive of own use by power plants and line loss).
- -
- The total installed capacity of renewable energy will be 10,875 MW. In parallel with this, electricity generation will be 25,200 GWh.
- Industrial processes sector: 146.544 MtCO2eq (reduced by 3% compared to the 2005 level).
- -
- Energy intensity in 2020 (reduced by 43% compared to the 2005 level; that is, 6.83 L of oil equivalent/1000 NT$).
- Transportation sector: 37.211 MtCO2eq (reduced by 2% compared to the 2005 level).
- -
- Public transport by 2020 will grow more than 7% compared to that of 2015 level.
- -
- The promotional target for the sales of electric motorcycles during the period of 2018–2020 will increase by 121,000.
- Residential and commercial sector: 57.530 MtCO2eq (reduced by 2.5% compared to the 2005 level).
- -
- As compared to that in 2017, the building shells of new architects constructed by the design basis levels (e.g., energy saving) will increase by 10%.
- -
- As compared to that in 2017, the electricity efficiency in the public sector buildings will improve by 5%.
- Agriculture sector: 5.318 MtCO2eq (reduced by 25% compared to the 2005 level).
- -
- Total organic and friendly farming land area: 15,000 hectares.
- -
- The biogas-to-power production by valorizing manure with 250 × 104 heads swine (about 50% of total swine heads on farms).
- -
- The forest land area via afforestation and reforestation: 3636 hectares.
- 2.
- Goals by 2030According to the legal norms under the Greenhouse Gas Reduction and Management Act, the net GHG emission by 2030 must reduce 20% compared to the baseline year (2005). Furthermore, the sector goals for the GHG emissions were described as follows:
- Energy sector
- -
- The total installed capacity of renewable energy will be 31,000 MW.
- Industrial processes sector
- -
- Energy intensity will be reduced by 50%, compared to the 2005 level.
- Transportation sector: 37.211 MtCO2eq (reduced by 2% compared to the 2005 level).
- -
- Public transport will grow more than 20% compared to that of 2015 level.
- -
- Official vehicles and city buses will be electrified totally.
- -
- Motorcycles using new energy accounted for 35% of new sales.
- Residential and commercial sector: 57.530 MtCO2eq (reduced by 2.5% compared to the 2005 level).
- -
- The electricity efficiency in the public sector buildings will improve by 10% and meet the announced specifications of the energy usage index (EUI).
- -
- Planning for the establishment of building energy database and the development of building energy passport.
- Agriculture sector
- -
- Total organic and friendly farming land area: 30,000 hectares.
- -
- The biogas-to-power production by valorizing manure with 375 × 104 heads swine (about 75% of total swine heads on farms).
- -
- The forest land area via afforestation and reforestation: 7080 hectares.
- Waste management sector
- -
- The national sewage treatment rate will reach 70%.
4. Conclusions and Prospects
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Pollutant | Averaging Time | Level | |
---|---|---|---|
Particle matter (PM) | PM2.5 | 24 h 1 | 35 μg/m3 |
1 year 2 | 15 μg/m3 | ||
PM10 | 24 h or 1 day 3 | 100 μg/m3 | |
1 year | 50 μg/m3 | ||
Sulfur dioxide (SO2) | 1 h 4 | 0.075 ppm | |
1 year | 0.02 ppm | ||
Nitrogen dioxide (NO2) | 1 h | 0.1 ppm | |
1 year | 0.03 ppm | ||
Carbon monoxide (CO) | 1 h | 35 ppm | |
8 h 5 | 9 ppm | ||
Ozone (O3) | 1 h | 0.12 ppm | |
8 h | 0.06 ppm | ||
Lead (Pb) | Rolling 3-month average 6 | 0.15 μg/m3 |
AQI (Scale/Color) | O3 (ppm) | PM2.5 (μg/m3) | PM10 (μg/m3) | CO (ppm) | SO2 (ppm) | NO2 (ppm) | |
---|---|---|---|---|---|---|---|
Statistical methods | 8 h | Real-time | 12 h 1 | 12 h 1 | 8 h | Real-time | Real-time |
Good (0–50/Green) | 0.000–0.054 | - | 0.0–15.4 | 0–54 | 0–4.4 | 0–35 | 0–53 |
Moderate (51–100/Yellow) | 0.055–0.070 | - | 15.5–35.4 | 55–125 | 4.5–9.4 | 36–75 | 54–100 |
Unhealthy for sensitive groups (101–150/Orange) | 0.071–0.085 | 0.125–0.164 | 35.4–54.4 | 126–254 | 9.5–12.4 | 76–185 | 101–360 |
Unhealthy (151–200/Red) | 0.086–0.105 | 0.165–0.204 | 54.5–150.4 | 255–354 | 12.5–15.4 | 186–303 | 361–649 |
Very unhealthy (201–300/Purple) | 0.106–0.200 | 0.205–0.404 | 150.5–250.4 | 355–424 | 15.5–30.4 | 305–604 | 650–1249 |
Hazardous (301–500/Maroon) | - | 0.405–0.604 | 250.5–500.4 | 425–604 | 30.5–50.4 | 605–1004 | 1250–2049 |
Year | PM2.5 (μg/m3) | PM10 (μg/m3) | SO2 (ppb) | CO (ppm) | NO2 (ppb) | O3 (ppb) 3 |
---|---|---|---|---|---|---|
2014 | -- 2 | 52.0 | 3.40 | 0.41 | 14.37 | 58.36 |
2015 | -- | 47.1 | 3.13 | 0.40 | 13.62 | 56.13 |
2016 | -- | 42.9 | 2.97 | 0.39 | 13.53 | 53.89 |
2017 | 20.5 | 44.0 | 2.88 | 0.35 | 12.86 | 56.43 |
2018 | 19.0 | 42.6 | 2.71 | 0.35 | 12.20 | 55.34 |
2019 | 17.3 | 35.7 | 2.30 | 0.35 | 11.57 | 54.91 |
2020 | 15.1 | 30.1 | 2.14 | 0.31 | 10.73 | 54.77 |
Year | Total Station-Day | AQI by Station-Day (Percentage) | |||||
---|---|---|---|---|---|---|---|
Good (0–50) | Moderate (51–100) | Unhealthy for Sensitive Groups (101–150) | Unhealthy(151–200) | Very Unhealthy (201–300) | Hazardous (301–500) | ||
2017 | 21,876 | 8690 | 9231 | 3334 | 610 | 11 | 0 |
(39.72) | (42.20) | (15.24) | (2.79) | (0.05) | (0.00) | ||
2018 | 21,885 | 9299 | 9083 | 2955 | 540 | 8 | 0 |
(42.49) | (41.50) | (13.50) | (2.47) | (0.04) | (0.00) | ||
2019 | 21,775 | 10,423 | 8543 | 2423 | 383 | 3 | 0 |
(47.87) | (39.23) | (11.13) | (1.76) | (0.01) | (0.00) | ||
2020 | 21,958 | 11.902 | 7845 | 1976 | 225 | 10 | 0 |
(54.20) | (35.73) | (9.00) | (1.03) | (0.04) | (0.00) |
GHG | Year | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2005 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 2 | |
Carbon dioxide (CO2) | 248.0 | 251.7 | 257.1 | 253.2 | 254.1 | 258.5 | 258.5 | 263.0 | 269.5 | 267.1 | 258.7 |
Methane (CH4) | 0.6 | 0.6 | 0.6 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 |
Nitrous oxide (N2O) | 1.3 | 1.3 | 1.3 | 1.2 | 1.2 | 1.2 | 1.2 | 1.3 | 1.3 | 1.3 | 1.3 |
Total emission | 249.9 | 253.6 | 259.0 | 255.1 | 256.0 | 260.4 | 260.4 | 265.0 | 271.5 | 269.1 | 260.7 |
GHG | Year | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2005 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 2 | |
Energy industry | 157.0 | 166.2 | 170.6 | 169.0 | 169.0 | 175.9 | 175.9 | 179.3 | 187.9 | 189.9 | 182.0 |
Manufacturing industry & construction | 42.9 | 41.6 | 42.5 | 41.2 | 42.2 | 39.2 | 38.3 | 38.5 | 36.9 | 33.6 | 32.8 |
Transportation | 37.7 | 35.4 | 35.9 | 35.1 | 35.0 | 35.4 | 36.3 | 37.4 | 37.0 | 36.0 | 36.2 |
Other sources | 12.3 | 10.4 | 10.0 | 9.8 | 9.8 | 9.9 | 9.9 | 9.8 | 9.7 | 9.6 | 9.7 |
Total | 249.9 | 253.6 | 259.0 | 255.1 | 256.0 | 260.4 | 260.4 | 265.0 | 271.5 | 269.1 | 260.7 |
SDG’s Targets for Air Quality | Baseline (2016) | 2020 | 2030 |
---|---|---|---|
Fine suspended particulate matter (PM2.5) 1 | 20 μg/m3 | 15 μg/m3 | 12 μg/m3 |
874 times 2 | 499 times | 140 times | |
Suspended particulate matter (PM10) 1 | 43.5 μg/m3 | 37 μg/m3 | 35 μg/m3 |
Ozone (O3) | 462 times 3 | 350 times | 140 times |
Sulfur dioxide (SO2) | Meeting AQS 4 | Meeting AQS | Meeting AQS |
Nitrogen dioxide (NO2) | Meeting AQS | Meeting AQS | Meeting AQS |
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Tsai, W.-T.; Lin, Y.-Q. Trend Analysis of Air Quality Index (AQI) and Greenhouse Gas (GHG) Emissions in Taiwan and Their Regulatory Countermeasures. Environments 2021, 8, 29. https://doi.org/10.3390/environments8040029
Tsai W-T, Lin Y-Q. Trend Analysis of Air Quality Index (AQI) and Greenhouse Gas (GHG) Emissions in Taiwan and Their Regulatory Countermeasures. Environments. 2021; 8(4):29. https://doi.org/10.3390/environments8040029
Chicago/Turabian StyleTsai, Wen-Tien, and Yu-Quan Lin. 2021. "Trend Analysis of Air Quality Index (AQI) and Greenhouse Gas (GHG) Emissions in Taiwan and Their Regulatory Countermeasures" Environments 8, no. 4: 29. https://doi.org/10.3390/environments8040029
APA StyleTsai, W. -T., & Lin, Y. -Q. (2021). Trend Analysis of Air Quality Index (AQI) and Greenhouse Gas (GHG) Emissions in Taiwan and Their Regulatory Countermeasures. Environments, 8(4), 29. https://doi.org/10.3390/environments8040029