Impact Of Smog Research Articles

Photovoltaic Power Prediction Considering the Influence of Smog on Solar Radiation

As smog significantly weakens the intensity of solar radiation, the impact of smog on photovoltaic power generation cannot be ignored. This article aims to improve the prediction accuracy of photovoltaic power generation under smog weather. The impact of main atmospheric meteorological factors on atmospheric aerosols under smog weather is studied, and radial basis function neural network is adopted to predict the optical thickness of atmospheric aerosols; then, the inclined plane radiation model is established to predict the radiation intensity received by the photovoltaic panel; finally, considering fully the factors affecting the photovoltaic power generation under the smog weather, the RBF neural network is used to predict the photovoltaic power. Experimental verification proved that the presented photovoltaic power prediction model has high accuracy.

The impact of smog on the concentration of particulate matter in the antelope house in the Silesian zoological garden.

Persistent negligence in the field of environmental protection in Poland as well as strong dependance of the energy sector on the fossil fuels have led to serious pollution of the air with particulate matter, which at high concentrations is capable of penetrating into the buildings. The aim of this study is to assess the impact of particulate airborne pollution on the concentration of particulate matter inside the antelope house in the Silesian Zoological Garden located within the Upper Silesia in Poland. The research was conducted from February to May in 2018. The records taken in the research period show that the concentration of PM10 exceeded the level of 50 µg/m3 outside the building during 26 days and 11 days when it comes to the concentration of particulate matter inside the antelope house. The quantity of particulate matter in the antelope house is strongly correlated with the concentration of the particles in the air. Despite fitting existing ventilation system with a filter that reduces the dust level by 60% during the highest level of smog, particulate matter concentration in the antelope house exceeded acceptable limit for PM10 more than twofold. Particle size-fraction analysis revealed that as much as 85% of the particles detected in the studied compartment constitute PM2.5.

Evaluation of characterization models for the photochemical smog impact category focused on the Brazilian reality

The Life Cycle Impact Assessment (LCIA) is composed of characterization models, and in Brazil, the methodological and scientific LCIA framework is still under development. The research’s aim was to evaluate the literature available characterization models to photochemical smog category. Thus, the contribution of work is recommending one of these models to be used in Brazilian LCA studies, standardizing the studies in Brazil. The methodology consisted of searching the literature and selecting, describing and analyzing the characterization models as well as elaborating a table of criteria for better comparison. Aiming to visualize the differences in the results of each selected model, a case study was applied to analyze the photochemical smog formation potential to the transport of one ton of sugar using two transportation modes (road and railroad). Five characterization models related to smog category were selected, described and compared. Herewith, it was observed that the models present significant differences, that is, each model presents Characterization Factors (CF) for different categories within the environmental impact chain of the photochemical smog (midpoint and/or endpoint), differences in modeling, scale of the model (regional, continental or global), quantity and quality of elementary flows, etc. Those factors have influence in the CF’s calculation and, consequently, the LCA’s results, in the same case study. The criteria table’s results suggested that the model of Van Zelm et al. (2016) – World (midpoint and endpoint), is the best interim option to be used in studies of LCA in Brazil, because it was the model that resulted in the highest grade referring to the established criteria and it presents results on a Global scale. However, the results do not rule out the need for regionalization studies, which would develop a model that presents results and studies directed to the Brazilian reality or adjust the model of Van Zelm et al. (2016) - Brazil

Impact of Smog in North India-Air Pollution

Impact of Smog in North India-Air Pollution

The impact of smog on risk perception and satisfaction of international and domestic tourists in Beijing.

Frequent natural disasters and epidemic diseases have sparked off an obvious concern over health and safety issues among the public all over the world. Public panic is further enhanced by intense media coverage on such events. Tourism is susceptible to crises because of the optionality and instability of tourist consumption. A considerable number of potential visitors would avoid to visiting certain destinations as they are not assured of enough levels of safety or health. Others would visit but their behaviours and experiences will change owing to higher level of risk perception. The smog or air pollution condition in most city of China has sparked off an intense concern to the public not only in China but also internationally. This research aims at answering the question: 'whether smog condition has exerted effects on tourists' risk perception, travelling satisfaction or loyalty to Beijing as a travelling destination' by exploring the perceptions of on-site international and domestic tourists towards the smog in Beijing. The characteristics of tourists' concern over smog condition were explored by interviewing visitors who finished their trips and were about to leave Beijing. Based on the content analysis of the interviewing materials, as well as the review on studies on human attitudes and responses towards air pollution and tourist perception on health related risks, possible concerns were identified. Afterwards, a scale measuring the degree of tourists' concern over smog conditions was developed. Scales evaluating tourist risk perception, satisfaction and loyalty were drawn from previous research. Comprehensive literature review laida solid foundation to the hypothesised model showing correlations among latent variables. A structural equation model was adopted to test the links among smog concern, risk perception, trip satisfaction and destination loyalty. Additionally, on the premise of cross-group invariance of the model, standardised means of latent variables were compared between international and domestic tourists to compare the levels of smog concern, risk perception, satisfaction and loyalty between these two groups. The outcomes of study on tourists' perception and attitudes resulted in the following findings. Firstly, tourists' concerns over smog consist in the harm on their health, emotion, quality of photos, attractiveness of spots and overall travelling satisfaction. Secondly, direct relationships were found for the hypothesized effects of smog concern on risk perception and satisfaction; the influence of risk perception on reducing satisfaction as well as the role of satisfaction in forming revisit intention (loyalty) was identified; Smog concern and risk perception exert negative impact on loyalty indirectly. Furthermore, the comparing result shows that the levels of smog concern, risk perception and loyalty among international tourists are lower than that of Chinese while difference in satisfaction evaluation is not significant. The broad concerns of this study are applicable across all key Chinese tourism cities visited by international tourists.

Up in Smoke? The Impact of Smog on Risk Perception and Satisfaction of International Tourists in Beijing

AbstractThis research explored the perceptions of on‐site international tourists towards the smog in Beijing. A scale measuring the degree of tourists' concern about smog conditions was developed. The links among smog concern, risk perception, trip satisfaction and destination loyalty were tested with a structural equation model. Direct relationships were found for the hypothesized effects of smog concern on risk perception and satisfaction. Further, the influence of risk perception on reducing satisfaction as well as the role of satisfaction in forming revisit intention (loyalty) was identified. The broad concerns of this study are applicable across all key Chinese tourism cities visited by international tourists. Copyright © 2015 John Wiley & Sons, Ltd.