scholarly journals A Short-Term Air Quality Control for PM10 Levels

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1409
Author(s):  
Claudio Carnevale ◽  
Elena De Angelis ◽  
Franco Luis Tagliani ◽  
Enrico Turrini ◽  
Marialuisa Volta
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Control Variable ◽  
Air Quality Index ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Forecasting Model ◽  
Short Term ◽  
Air Quality Control ◽  
Selection Of

In this work, the implementation and test of an integrated assessment model (IAM) to aid governments to define their short term plans (STP) is presented. The methodology is based on a receding horizon approach where the forecasting model gives information about a selected air quality index up to 3 days in advance once the emission of the involved pollutants (control variable) are known. The methodology is fully general with respect to the model used for the forecast and the air quality index; nevertheless, the selection of these models must take into account the peculiarities of the pollutants to be controlled. This system has been tested for particulate matter (PM10) control over a domain located in Northern Italy including the highly polluted area of Brescia. The results show that the control system can be a valuable asset to aid local authorities in the selection of suitable air quality plans.

scholarly journals Estimating Short- and Long-Term Associations Between Air Quality Index and COVID-19 Transmission: Evidence From 257 Chinese Cities

2021 ◽  
Vol 66 ◽  
Author(s):  
Ru Cao ◽  
Yuxin Wang ◽  
Xiaochuan Pan ◽  
Xiaobin Jin ◽  
Jing Huang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Pollution Level ◽  
Short Term ◽  
Migration Index ◽  
Long Run ◽  
Long Term Impact

Objectives: To evaluate the long- and short-term effects of air pollution on COVID-19 transmission simultaneously, especially in high air pollution level countries.Methods: Quasi-Poisson regression was applied to estimate the association between exposure to air pollution and daily new confirmed cases of COVID-19, with mutual adjustment for long- and short-term air quality index (AQI). The independent effects were also estimated and compared. We further assessed the modification effect of within-city migration (WM) index to the associations.Results: We found a significant 1.61% (95%CI: 0.51%, 2.72%) and 0.35% (95%CI: 0.24%, 0.46%) increase in daily confirmed cases per 1 unit increase in long- and short-term AQI. Higher estimates were observed for long-term impact. The stratifying result showed that the association was significant when the within-city migration index was low. A 1.25% (95%CI: 0.0.04%, 2.47%) and 0.41% (95%CI: 0.30%, 0.52%) increase for long- and short-term effect respectively in low within-city migration index was observed.Conclusions: There existed positive associations between long- and short-term AQI and COVID-19 transmission, and within-city migration index modified the association. Our findings will be of strategic significance for long-run COVID-19 control.

scholarly journals Applying EPA’s instruction to calculate air quality index (AQI) in Tehran

2019 ◽  
Author(s):  
Somayeh Yousefi ◽  
Abbas Shahsavani ◽  
Mostafa Hadei
Keyword(s):  
Air Pollution ◽  
Quality Control ◽  
Air Quality ◽  
Quality Index ◽  
Good Condition ◽  
Air Quality Index ◽  
Sudden Increase ◽  
Governmental Organizations ◽  
Abnormal Distribution ◽  
Air Quality Control

Introduction: This study aimed to calculate and evaluate air quality index (AQI) in Tehran according to the EPA’s instruction, and evaluate the obtained values. Materials and methods: The study period included three years of 2013, 2015, and 2017 within the six-year period of 2013-2017. The concentrations of six studied pollutants were acquired from Department of Environment (DE) and Air Quality Control Company of Tehran (AQCC). EPA’s method was applied to calculate AQI values during the study period, selecting the highest AQI value among all of the pollutants and monitors. Results: The three-year average of AQI was about 147. During all the three years, the air quality had never been in a “good” condition (AQI<50). About 92%, 91%, 87% of AQIs indicated the conditions unhealthy for sensitive groups (100<AQI<150) or unhealthy for all groups (150<AQI<200). PM2.5 accounted for most of the AQI values in Tehran, followed by NO2 and O3. Evaluating the histogram of AQI values indicated a strange form of distribu- tion, showing a decline in the 100-150 range and a sudden increase just after AQIs higher than 150. Conclusion: This study indicated that governmental organizations should follow EPA’s instruction for AQI calculations to avoid underestimation of air pollution, and broadcast accurate and reliable AQIs to public. To determine the reason for the abnormal distribution of AQI, further studies with longer study periods are required.

Short-Term Associations between Daily Mortality and Fine Particulate Matter, Nitrogen Dioxide, and the Air Quality Index in Tehran, Iran

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Heresh Amini ◽  
Nguyen Thi Trang Nhung ◽  
Christian Schindler ◽  
Masud Yunesian ◽  
Vahid Hosseini ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Nitrogen Dioxide ◽  
Quality Index ◽  
Fine Particulate Matter ◽  
Air Quality Index ◽  
Daily Mortality ◽  
Short Term ◽  
Fine Particulate

scholarly journals A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model

2018 ◽  
Vol 15 (9) ◽  
pp. 1941 ◽  
Author(s):  
Jiaming Zhu ◽  
Peng Wu ◽  
Huayou Chen ◽  
Ligang Zhou ◽  
Zhifu Tao
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Hybrid Approach ◽  
Air Quality Index ◽  
Pollutant Emission ◽  
Forecasting Model ◽  
Hybrid Forecasting ◽  
Combined Forecasting ◽  
Air Pollution Forecasting

Air pollution forecasting plays a vital role in environment pollution warning and control. Air pollution forecasting studies can also recommend pollutant emission control strategies to mitigate the number of poor air quality days. Although various literature works have focused on the decomposition-ensemble forecasting model, studies concerning the endpoint effect of ensemble empirical mode decomposition (EEMD) and the forecasting model of sub-series selection are still limited. In this study, a hybrid forecasting approach (EEMD-MM-CFM) is proposed based on integrated EEMD with the endpoint condition mirror method and combined forecasting model for sub-series. The main steps of the proposed model are as follows: Firstly, EEMD, which sifts the sub-series intrinsic mode functions (IMFs) and a residue, is proposed based on the endpoint condition method. Then, based on the different individual forecasting methods, an optimal combined forecasting model is developed to forecast the IMFs and residue. Finally, the outputs are obtained by summing the forecasts. For illustration and comparison, air quality index (AQI) data from Hefei in China are used as the sample, and the empirical results indicate that the proposed approach is superior to benchmark models in terms of some forecasting assessment measures. The proposed hybrid approach can be utilized for air quality index forecasting.

scholarly journals A short review on different techniques used for site selection of air quality monitoring stations

2021 ◽  
Vol 2 (1) ◽  
pp. 27-30
Author(s):  
Hemanth Kollati ◽  
◽  
Animesh Debnath ◽  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Site Selection ◽  
Quality Index ◽  
Air Quality Index ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Air Quality Monitoring Stations ◽  
Selection Of ◽  
Monitoring Stations

Air pollution has become a serious concern across the world in the last few decades. In specific cities, the air quality index value had changed from very unhealthy to a hazardous level of health concern. Air pollution has a serious impact on daily lives in those cities. Monitoring of air pollution is becoming necessary these days. Air quality monitoring stations are installed to get the air pollution data, which indicates in the air quality index (AQI) value. In order to contain a proper air quality index (AQI) value, it is essential to locate the air quality monitoring stations in the appropriate place of the study area. Several techniques were being used for site selection of air quality monitoring stations for the last few decades. In this short review, all such techniques have been studied systematically, and comprehensive analysis has been reported for further use by the scientific community and policymakers. In this study, the methods used in the site selection of air quality monitoring stations were categorized into four groups. (1) Multi-Criteria Decision Making (MCDM) techniques; (2) Geographical Information System (GIS); (3) hybrid techniques; and (4) miscellaneous. In the site selection of air quality monitoring stations, the decision-makers should consider various parameters based on the study area. While considering various parameters, the problem solving becomes complex. At this point, MCDM techniques, GIS, and Hybrid techniques are found to be helpful tools for the decision-makers.

scholarly journals The Effect of Air Pollution on the Occurrence of Nonspecific Conjunctivitis

2016 ◽  
Vol 2016 ◽  
pp. 1-3 ◽  
Author(s):  
Zhiwei Li ◽  
Xiaoyan Bian ◽  
Jianguang Yin ◽  
Xiaoli Zhang ◽  
Guoying Mu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Short Term ◽  
Outpatient Visits ◽  
Lag Effect ◽  
One Year ◽  
Autumn And Winter ◽  
The Relationship

Purpose. To investigate the short-term effect of air pollution on occurrence of nonspecific conjunctivitis. Methods. Data were collected from outpatient visits from cases with conjunctivitis over a period of one year. Regression analysis was performed to evaluate the relationship between the number of outpatient visits and the air quality and the lag effect of air quality on conjunctivitis occurrence. Results. The air quality index on the day of presentation (P=0.023), one day before presentation (P=0.049), and two days before presentation day (P=0.050) had a positive relation with outpatient visits for conjunctivitis. The air quality index (P=0.001) and outpatient visits number per day (P=0.013) in autumn and winter (October to March) were significantly higher than those in spring (April) and summer (September). Conclusions. The air quality index within two days before presentation affected the probability of attending the outpatient clinic for nonspecific conjunctivitis. High number of cases can be expected in colder season.

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