scholarly journals A Novel Air Quality Evaluation Paradigm Based on the Fuzzy Comprehensive Theory

2020 ◽  
Vol 10 (23) ◽  
pp. 8619
Author(s):  
Xinyue Mo ◽  
Huan Li ◽  
Lei Zhang ◽  
Zongxi Qu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Human Life ◽  
Fuzzy Comprehensive Evaluation ◽  
Least Square ◽  
Evaluation Tool ◽  
Concentration Data ◽  
The Government

Air pollution is a prominent problem all over the world, seriously endangering human life. To protect the environment and human health, timely and accurate air quality evaluations are imperative. Recently, with the increasing focus on air pollution, an evaluation tool that can offer intuitive air quality information is especially needed. Though the Air Quality Index (AQI) has played this role over the years, its intrinsic limitations discussed in this study (sharp boundary, biased evaluation, conservative strategy and incomplete criterion) are gradually apparent, limiting its air quality evaluation capability. Therefore, a novel paradigm, the Air Quality Fuzzy Comprehensive Evaluation (AQFCE), is proposed. In the preprocessing module, missing and reversal data are handled by a least square piecewise polynomial fitting and linear regression. An improved fuzzy comprehensive evaluation model is adopted to solve the AQI’s above limitations in the evaluation module. The early warning module provides a timely alert and recommendation. To validate the performance of the AQFCE, Beijing, Shanghai and Xi’an in China are selected for case studies, and daily and hourly concentration data of six conventional air pollutants from September 2018 to August 2019 are employed. For daily reports, the AQFCE and AQI have a high consistent rate and correlation coefficient regarding chief pollutants and levels, respectively, while examples show the level of the AQFCE is more reasonable. For hourly reports, AQI has antinomies and cannot reflect actual pollution, but the AQFCE is still effective. Current major pollutants, “weekend and holiday effect” and “peak type” of pollution are also revealed by the AQFCE. Experiment results prove that the AQFCE is accurate under different pollution conditions and an important supplement to the AQI. Furthermore, the AQFCE can provide health guideline for the public and assist the government in making environmental decisions and development policies.

Vehicle Air Quality Analysis and Comprehensive Evaluation

2014 ◽  
Vol 507 ◽  
pp. 786-789
Author(s):  
Ruo Jun Wang ◽  
Yan Ying Xu
Keyword(s):  
Air Quality ◽  
Pollution Control ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Quality Analysis ◽  
Air Pollution Control ◽  
Short Term ◽  
Comprehensive Evaluation Method

Vehicle air quality is attracted attention more and more with the increase of private vehicles popularization rate but the air quality evaluation is difficult to achieve standardization in the short term. The main pollutants affecting vehicle air quality were analyzed. Index factors were identified and the classification method of vehicle air quality evaluation were determined combining with China and international air quality standards. Fuzzy comprehensive evaluation method was established for vehicle air quality evaluation. According to the degree of different pollutants harm to human body, weight of each index factor was determined. The evaluation results would provide theoretical basis for the comparison of different vehicle air quality conditions and vehicle air pollution control.

scholarly journals Carbon Monoxide Emission and Air Quality Analysis Based on an Improved Double-Weight Fuzzy Comprehensive Evaluation

2022 ◽  
Vol 9 ◽  
Author(s):  
Weicai Peng ◽  
Xiangguo Liu ◽  
Farhad Taghizadeh-Hesary
Keyword(s):  
Carbon Monoxide ◽  
Air Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Quality Analysis ◽  
Water Classification ◽  
Average Analysis ◽  
The Government ◽  
The Impact

In this article, we adopt an improved double-weighted fuzzy comprehensive evaluation method to investigate the air condition of Hefei City from July 2016 to July 2021. We focus on the impact of the toxicity index, especially the impact of carbon monoxide, which is also considered in some other kinds of quality evaluation, such as water classification. Firstly, we found that with the increasing awareness of environmental protection and with the attention of the government to the quality of air in recent years, the air conditions have become better (the grades become lower). Secondly, the value of the factors, PM2.5, PM10, SO2, CO, NO2, and O3 periodically fluctuate from year to year; and the periodicity of O3 is reversed with the other factors. Finally, the monthly average analysis shows that the overall air quality is good; all the grades are I-II, except for December 2017 which has a grade III. Furthermore, the air quality in the winter (especially in December and January) is not always good.

Comparative Study on Indoor Air Quality Evaluation Method

2012 ◽  
Vol 178-181 ◽  
pp. 267-271
Author(s):  
Xing Yang Leng ◽  
Ping Jiang
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Index Method ◽  
Comprehensive Evaluation Method ◽  
Comprehensive Index Method ◽  
Grey Relational

This paper reviewed six kinds of indoor air quality (IAQ) evaluation methods, by which the same IAQ status were evaluated. Besides, the relations and distinctions of six methods were also analyzed. The results indicate that the evaluation results of different methods on the same sample are not identical. Fuzzy comprehensive evaluation method, pollution loss rate method and comprehensive index method are relatively accurate, and improved grey relational analysis method has the largest error.

scholarly journals The Impact of “Coal to Gas” Policy on Air Quality: Evidence from Beijing, China

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3876 ◽  
Author(s):  
Zhe Liu ◽  
Xueli Chen ◽  
Jinyang Cai ◽  
Tomas Baležentis ◽  
Yue Li
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Energy Use ◽  
Northern China ◽  
Heating System ◽  
Use Efficiency ◽  
The Government ◽  
The Impact ◽  
Beijing China

Air pollution has become an increasingly serious environmental problem in China. Especially in winter, the air pollution in northern China becomes even worse due to winter heating. The “coal to gas” policy, which uses natural gas to replace coal in the heating system in winter, was implemented in Beijing in the year 2013. However, the effects of this policy reform have not been examined. Using a panel dataset of 16 districts in Beijing, this paper employs a first difference model to examine the impact of the “coal to gas” policy on air quality. Strong evidence shows that the “coal to gas” policy has significantly improved the air quality in Beijing. On average, the “coal to gas” policy reduced sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter smaller than 10 µm (PM10), particulate matter smaller than 2.5 µm (PM2.5) and carbon monoxide (CO) by 12.08%, 4.89%, 13.07%, 11.94% and 11.10% per year, respectively. We find that the “coal to gas” policy is more effective in areas with less energy use efficiency. The finding of this paper suggests that the government should continue to implement the “coal to gas” policy, so as to alleviate the air pollution in Beijing, China.

scholarly journals A Novel Air Quality Early-Warning System Based on Artificial Intelligence

2019 ◽  
Vol 16 (19) ◽  
pp. 3505
Author(s):  
Mo ◽  
Zhang ◽  
Li ◽  
Qu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Prediction Model ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Air Pollutant ◽  
Concentration Data ◽  
Whale Optimization ◽  
The World

The problem of air pollution is a persistent issue for mankind and becoming increasingly serious in recent years, which has drawn worldwide attention. Establishing a scientific and effective air quality early-warning system is really significant and important. Regretfully, previous research didn’t thoroughly explore not only air pollutant prediction but also air quality evaluation, and relevant research work is still scarce, especially in China. Therefore, a novel air quality early-warning system composed of prediction and evaluation was developed in this study. Firstly, the advanced data preprocessing technology Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) combined with the powerful swarm intelligence algorithm Whale Optimization Algorithm (WOA) and the efficient artificial neural network Extreme Learning Machine (ELM) formed the prediction model. Then the predictive results were further analyzed by the method of fuzzy comprehensive evaluation, which offered intuitive air quality information and corresponding measures. The proposed system was tested in the Jing-Jin-Ji region of China, a representative research area in the world, and the daily concentration data of six main air pollutants in Beijing, Tianjin, and Shijiazhuang for two years were used to validate the accuracy and efficiency. The results show that the prediction model is superior to other benchmark models in pollutant concentration prediction and the evaluation model is satisfactory in air quality level reporting compared with the actual status. Therefore, the proposed system is believed to play an important role in air pollution control and smart city construction all over the world in the future.

scholarly journals Cloud Model based Fuzzy Comprehensive Evaluation Method for Effect Assessment of Beijing-Tianjin-Hebei Cooperative Air Pollution Supervision Mode

2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Yunna Wu ◽  
Ting Zhang ◽  
Jing Wang ◽  
Ruhang Xu ◽  
Yuanxin Liu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Prevention And Control ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Pollution Prevention ◽  
Fuzzy Comprehensive Evaluation ◽  
Decision Makers ◽  
Pollution Prevention And Control ◽  
And Control

In order to cope with air pollution, China has formulated Beijing-Tianjin-Hebei cooperative supervision mechanism on air pollution prevention and control. Nevertheless, after several years’ effort, the air quality has improved significantly but far from reaching people’s needs. To improve the supervision strategies for meeting a better supervision and treatment effect, this paper will evaluate the effect of the cooperative supervision on air pollution and control in Beijing-Tianjin-Hebei and give several advices on the improvement of existing supervision method through results analyzation. Firstly, a comprehensive evaluation criteria system is established. Then a novel method of determining weight is firstly proposed in this paper, -fuzzy measure and AHP are used for determining weights which can not only consider the correlation among criteria but also take care of the will of the decision-makers. Finally, we obtain the evaluation ranking results by Fuzzy comprehensive evaluation combined with Cloud model and several advice is proposed. In general, the model can provide reference for monitoring and evaluating the effect of supervision on air pollution prevention and control in other regions and the results analysis provide a great reference to the decision makers to optimize the cooperative supervision in Beijing-Tianjin-Hebei.

scholarly journals Analysis of Urban Air Pollution and The Effectiveness of Air Pollution Control Policy in Malaysia: Case Study in Klang Valley, Malaysia

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Siti Haslina Mohd Shafie ◽  
Suzani Mohamad ◽  
Nor Lita Fadilah Rameli ◽  
Sahala Benny Pasaribu
Keyword(s):  
Air Pollution ◽  
Information System ◽  
Air Quality ◽  
Geographic Information System ◽  
Environmental Sustainability ◽  
Local Community ◽  
Well Being ◽  
Geographic Information ◽  
Klang Valley ◽  
The Government

AbstractAir pollution in Malaysia is largely attributed to motor vehicles and land transportation, industrial activities and open burning. It has a hazardous effect on the public’s health and the environment. This study focuses on the spatial analysis of carbon monoxide (CO) and ozone (O3) concentrations trend in Klang Valley stations, specifically in Klang, Petaling Jaya, Kajang, Shah Alam and Cheras from 2000 to 2009. The study used the Inverse Distance Weighted (IDW) interpolation technique under the Geographic Information System (GIS). This study found that the distribution pattern of CO spatial concentrations in the Klang Valley is the highest concentration and reached 2.5 ppm, especially in Klang and Petaling Jaya stations in 2002 and 2003. However, the annual concentration of O3 recorded in Klang, Petaling Jaya, Kajang, Shah Alam, and Cheras stations from 2004 to 2009 is between 0.01 to 0.025 ppm. While air quality legislations have been introduced in Malaysia, policies and regulations being established by the government, their enforcement is still weak. Subsequently, air pollution is still a significant issue in Malaysia. Strong cooperation between the government, stakeholders and the local community is important to promote environmental sustainability and improve the community’s well-being. Keywords: Air pollution; Geographic Information System (GIS); Air Quality Policy; Malaysia

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