scholarly journals Air Pollution in a Low-Industry City in China’s Silk Road Economic Belt: Characteristics and Potential Sources

2021 ◽  
Vol 9 ◽  
Author(s):  
Fanglong Wang ◽  
Zhongqin Li ◽  
Feiteng Wang ◽  
Xiaoni You ◽  
Dunsheng Xia ◽  
...  

In this study, air pollutants were analyzed at a low-industry city on the Silk Road Economic Belt of Northwestern China from 2015 to 2018. The results show that SO2 and CO had a decreasing trend and NO2, O3, PM2.5, and PM10 had an increasing trend during the study period. The primary characteristic pollutants were PM2.5 and PM10, which were higher than China’s Grade II standard. SO2, NO2, CO, PM2.5, and PM10 concentrations showed similar seasonal variation patterns: the highest pollutant concentration was in winter and the lowest in summer. Those pollutants showed a similar diurnal pattern with two peaks, one at 7:00 to 9:00 and another at 21:00 to 22:00. However, O3 concentration was highest in summer and lowest in winter, with a unimodal diurnal variation pattern. The annual average pollution concentrations in Tianshui in 2017 were substantially lower than the concentrations reported by most cities in China. By examining the meteorological conditions at a daily scale, we found that Tianshui was highly influenced by local emissions and a southwest wind. Potential source contributions and concentration weighted trajectory analyses indicated that the pollution from Gansu, Sichuan, Qinghai, and Shaanxi Province could affect the pollution concentration in Tianshui. The results provide directions for the government to take in formulating regional air pollution prevention and control measures and to improve air quality.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zuiyuan Guo ◽  
Dan Xiao

AbstractWe established a stochastic individual-based model and simulated the whole process of occurrence, development, and control of the coronavirus disease epidemic and the infectors and patients leaving Hubei Province before the traffic was closed in China. Additionally, the basic reproduction number (R0) and number of infectors and patients who left Hubei were estimated using the coordinate descent algorithm. The median R0 at the initial stage of the epidemic was 4.97 (95% confidence interval [CI] 4.82–5.17). Before the traffic lockdown was implemented in Hubei, 2000 (95% CI 1982–2030) infectors and patients had left Hubei and traveled throughout the country. The model estimated that if the government had taken prevention and control measures 1 day later, the cumulative number of laboratory-confirmed patients in the whole country would have increased by 32.1%. If the lockdown of Hubei was imposed 1 day in advance, the cumulative number of laboratory-confirmed patients in other provinces would have decreased by 7.7%. The stochastic model could fit the officially issued data well and simulate the evolution process of the epidemic. The intervention measurements nationwide have effectively curbed the human-to-human transmission of severe acute respiratory syndrome coronavirus 2.


2016 ◽  
Vol 04 (04) ◽  
pp. 1650027
Author(s):  
Rong ZHU

Analysis of the meteorological conditions for atmospheric pollutant dispersion before and after the 2014 APEC meeting shows very significant effects of air pollution prevention and control measures on the meeting. It proves that the proper measures to control air pollution in the Beijing-Tianjin-Hebei Region are: establishing a regional emergency response mechanism to reduce emissions in the case of heavy air pollution, strengthening the local emergency response measures for emission reduction, and enhancing the early warning system for weather conditions conducive to heavy air pollution.


Author(s):  
LI Yunyan ◽  
SUN Guihua ◽  
DI Peng

In recent years, Beijing has been more often confronted with serious haze pollution, especially in autumn and winter. The People’s Government of Beijing Municipality has adopted a package of measures to control the haze pollution with its best efforts. To objectively evaluate how effective these haze pollution control measures are from different perspectives and in an all-round way, it is necessary to adopt a scientific and reasonable approach. Based on the Balanced Scorecard (BSC) idea, we establish a system of indexes to evaluate the government performance of Beijing in haze pollution control from the four perspectives of development quality, public services, government management and development potential, and use a combination of analytic hierarchy process (AHP) and entropy weight method (EWM) to determine the index weights, and objectively evaluate Beijing’s performance in haze pollution control from 2010 to 2016. The results show that the scores for the four perspectives are all on the rise, and since the implementation of the Air Pollution Prevention and Control Action Plan in 2013, the government’s haze pollution control measures have achieved significant results, and made a much higher overall score. On that basis, we propose the optimized path for Beijing’s haze pollution control, namely, accelerating the upgrading of development quality, improving the public services level, strengthening the government management, tapping the development potential of haze pollution control and increasing the linkage and cooperation between the governments of Beijing, Tianjin and Hebei.


Author(s):  
L. S. Liang ◽  
J. L. Jing ◽  
A. N. Wang ◽  
F. L. Luo

Abstract. In recent years, air pollution is still a serious problem in China. Therefore, the government has further strengthened the pollution control measures for the Beijing-Tianjin-Hebei (BTH) air pollution transmission channel cities (“2+26” cities). This study used real-time PM2.5 monitoring data from 176 air quality monitoring sites in “2+26” cities from 2015 to 2018. The temporal and spatial evolution characteristics of PM2.5 concentration in “2+26” cities were analysis by statistical analysis and Kriging interpolation method. The research results showed that: (1) From the analysed of time variation, the hourly variation presents a bimodal distribution, with the PM2.5 concentration reaching the peak at 9:00–10:00 O’clock and 22:00–00:00, and finally dropping to the lowest value at 16:00–17:00. The monthly change of PM2.5 concentration was almost the same, reaching the peak pollution concentration in December. The seasonal variation trend of the study area was almost the same, and the PM2.5 concentration had a small decline, except for the special changed in winter. However, autumn and winter were still the most polluted seasons, while the spring and summer were less polluted. (2) From the analysed of spatial variation, the pollution process started in November and ended slowly in March of the following year, with the worst and most extensive pollution in December. It was spread to surrounding cities by Baoding, Shijiazhuang, Xingtai and Handan in the central region, and the central area was the most polluted. In August, PM2.5 concentration was the lightest, with an average concentration of 42.4 μg/m3.


2020 ◽  
Author(s):  
Ao Zhang ◽  
Xiang Wu ◽  
Jingqi Gao ◽  
Yongbao Zhang

Abstract Background: China has basically succeeded in controlling the COVID-19 epidemic, which is due to the cooperation and acceptance of epidemic prevention measures by the public. However, few studies have examined the measures China has taken to combat COVID-19 in order to reflect on its success in curbing the the spread of epidemic.Methods: In this study, the public acceptance questionnaire was designed based on the epidemic prevention measures adopted in China, to investigate the difference of public acceptance of epidemic prevention measures. The survey data was collected from 2,062 samples with different demographic characteristics from March 8, 2020 to April 9, 2020. And SPSS was used to analyze the data collected in the questionnaire, such as one-way variance, so as to draw conclusions.Results: The results show that age and educational level have a significant influence on public acceptance. In contrast gender and occupation field has no significant impact on it. The acceptance of the emergency prevention and control measures taken by the government during the epidemic period is generally high. With the development of the epidemic, the acceptability is increasing. And the public acceptance of traffic measures was highest. Conclusions: Rapid deployment of epidemic prevention measures and appropriate methods in transportation, economy and education are the key to China's effective containment of the epidemic. Measures such as shutting down cities and encouraging the wearing of masks deserve to be copied by other countries. This study summed up China's scientific experience in the fight against COVID-19 and differences in public acceptance. It can provide a positive reference for the development of epidemic prevention measures in other countries.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Fan Yang ◽  
Zhao-guo Huang ◽  
Hua-zhi Yuan ◽  
Jian-jun Wang ◽  
Wei-jia Li ◽  
...  

In order to sketch the transport infrastructure construction in an economy or a region, the government has to predict the passenger volume, under the local policy of industrial investment. In this paper, we propose a combined input-output and distributed lag prediction model of passenger volume in a province in P. R. China, under a certain policy of industrial investment called Silk Road Economic Belt. Specifically, the relationships between the passenger volume, GDP (gross domestic product), gross output, and transportation consumption are analyzed, and then the industrial development speed analysis and classification are used to calculate the average development speeds and the GDP contributions of 42 industries. Combining the input-output table, the provincial transportation consumption under the Silk Road Economic Belt policy is predicted, and the passenger volumes of the cities and the province in the future are predicted by the distributed lag models. Considering the uncertainty of the investment, the elastic ranges of the cities and the province’s passenger volumes are determined. The results show that the correlation between the passenger volume and transportation consumption is the highest, and it is equal to 0.975. In 2020, the passenger volume in Shaanxi is 1,641,305 thousands, and the error between the predicted value and the value obtained by summing the cities’ passenger volumes is smaller than 0.002%.


Author(s):  
Lei Jiang ◽  
Yujia Huang ◽  
Haonan Cheng ◽  
Ting Zhang ◽  
Lei Huang

As the country where the COVID-19 was first reported and initially broke out, China has controlled the spread of the pandemic well. The pandemic prevention process included emergency response and risk communication, both of which could notably increase public participation, people’s anxiety has been alleviated, their confidence in the government has been enhanced, and the implementation of prevention and control measures has been understood. This study selected 157,283 articles published by 447 accounts across 326 cities in February 2020 from WeChat, the largest social media application in China, to systematically compare the spatial distributions in the effectiveness of emergency responses and risk communication. The results showed that there were significant regional differences in the effectiveness of emergency response and risk communication during the pandemic period in China. The effectiveness of emergency response and risk communication are related to the exposure risk to the COVID-19, the level of economy, culture, and education of the region, the type of accounts and articles, and the ranking of the articles in posts. The timeliness and distribution types of articles should take into account the psychological changes in communication recipients to avoid the dissemination of homogenized information to the masses and the resulting information receiving fatigue period.


Author(s):  
Mingze Du ◽  
Weijiang Liu ◽  
Yizhe Hao

To understand the status of air pollution in northeastern China, we explore the structure of air pollution transmission networks and propose targeted policy recommendations. Using air pollution data from 35 cities in northeastern China for a total of 879 periods from 6 January 2015 to 3 June 2017, this paper used social network analysis (SNA) to construct a spatial association network of air pollution in the region, and analyzed the spatial association of air pollution among cities and its causes in an attempt to reveal the transmission path of air pollution in the region. The results show that inter-city air pollution in northeast China forms a complex and stable correlation network with obvious seasonal differences of “high in winter and low in summer”. Different cities in the region play the roles of “spillover”, “intermediary” and “receiver” of air pollution in the network. Small respirable particulate (PM2.5) pollution constitutes a significant component of air pollution in northeast China, which spreads from Liaoning province to Heilongjiang province via Jilin province. Therefore, regional joint pollution prevention and control measures should be adopted to combat the air pollution problem, and different treatment measures should be developed for different city “roles” in the pollution network, in order to fundamentally solve the air pollution problem in the region.


2021 ◽  
Author(s):  
Ebrahim Sahafizadeh ◽  
Saeed Talatian Azad

AbstractBackgroundThe first confirmed cases of COVID-19 in Iran were reported on February 19, 2020. This study aimed to analyze the epidemic curves and to investigate the correlation between epidemic parameters and furthermore to analyze the impact of control measures on the spread of COVID-19 in Iran during 365 days of the epidemic.MethodsWe used data from February 20, 2020, to February 18, 2021, on the number of COVID-19 cases reported by Iranian governments. Pearson correlation coefficient was applied to investigate the correlation between different epidemic parameters. The number of daily deaths per daily new cases was averaged to calculate daily death rate and the same method was used to investigate the rate of daily positive tests. Furthermore, we employed two different methods to calculate the effective reproduction number using reported data.ResultsThe results showed that there was a strong correlation between the number of daily deaths and the number of daily new cases (specially the admitted cases). The results also indicated that the mean of daily death rate of COVID-19 during 365 days was 4.9 percent, and averagely 13.9 percent of daily tests results were positive. Furthermore, epidemic curves showed that implementing strict social distancing measures effectively reduced the number of confirmed cases. The effective reproduction curve indicated that social distancing is still necessary to control the spread of COVID-19 in Iran.ConclusionsAnalyzing the prevention and control measures indicated that the strict social distancing implemented by the government effectively reduces the number of new cases and deaths. The curve of reproduction number also showed that effective reproduction number is still above one; hence, it is necessary to continue strict social distancing and control travelling to prevent causing another wave of outbreak especially in Persian New Year.


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