Air environmental information plays an important role during plant growth and reproduction, prompt and accurate prediction of atmospheric environmental data is helpful for agricultural robots to make a timely decision...Air environmental information plays an important role during plant growth and reproduction, prompt and accurate prediction of atmospheric environmental data is helpful for agricultural robots to make a timely decision. For efficiency, an online learning method for predicting air environmental information was presented in this work. This method combines the advantages of convolutional neural network (CNN) and experience replay technique: CNN is used to extract features from raw data and predict atmospheric environmental information, experience replay technique can store environmental data over some time and update the hyperparameters of CNN. To validate the effects of this method, this online method was compared with three different predictive methods (including random forest, multi-layer perceptron, and support vector regression) using a public dataset (Jena). According to results, a suitable sample sequence size (e.g., 16) has a smaller number of training sessions and stable results, a larger replay memory size (e.g., 200) can provide enough samples to capture useful features, and 6 d of historical information is the best setting for training predictor. Compared with traditional methods, the method proposed in this study is the only method applied for various conditions.展开更多
In a local context, sustainable development entails utilizing the current resources—material and immaterial, measurable and immeasurable, popular and unpopular—of the community in a manner that avoids overexploitati...In a local context, sustainable development entails utilizing the current resources—material and immaterial, measurable and immeasurable, popular and unpopular—of the community in a manner that avoids overexploitation and ensures intergenerational equity. This approach prioritizes the safety and health of local citizens, placing communal productivity above corporate profitability. This research aims to assess air quality surrounding 28 chemical industry sites in Baton Rouge, Louisiana, to understand the environmental and health impacts of industrial pollutants, with a focus on environmental justice. Air quality pollutants, including PM2.5, PM10, O3, NO2, CO, and SO2, were monitored for 75 days during the Summer, using the BreezoMeter app. Python, Mapize, and QGIS software technologies were utilized for data analysis and visualization. Findings indicate a reduction in NO2 and CO levels, compared to existing literature. However, the persistent challenge of particulate matter suggests areas for further environmental management efforts. Additionally, the research suggests a significant disparity in air pollution exposure, probably affecting marginalized communities. Although the nature of the study might not fully capture annual pollution trends, the findings highlight the urgent need for the chemical industry to adopt efficient production methods and for policymakers to enhance air quality standards and enforcement, particularly in pollution-sensitive areas. The disproportionate impact of air pollution on vulnerable communities calls for a more inclusive approach to environmental justice, ensuring equitable distribution of clean air benefits and community involvement in pollution management decisions.展开更多
With 1 185 pi eces of questionnaire, it is found that in China, people take fresh air, odor, e tc., as well as indoor air temperature, humidity, as the most important indoor a ir parameters. It is also found that ther...With 1 185 pi eces of questionnaire, it is found that in China, people take fresh air, odor, e tc., as well as indoor air temperature, humidity, as the most important indoor a ir parameters. It is also found that there is a significant sensitivity differen ce in indoor environment between southerners and northerners in China. People fr om different regions have different demands for their working and living environ ment. Therefore, as a good design of air conditioning system, it is strongly rec ommended that the different demands of people from different regions should be t aken into consideration.展开更多
Environmental sustainability is the rate of renewable resourceharvesting, pollution control, and non-renewable resource exhaustion. Airpollution is a significant issue confronted by the environment particularlyby high...Environmental sustainability is the rate of renewable resourceharvesting, pollution control, and non-renewable resource exhaustion. Airpollution is a significant issue confronted by the environment particularlyby highly populated countries like India. Due to increased population, thenumber of vehicles also continues to increase. Each vehicle has its individualemission rate;however, the issue arises when the emission rate crosses thestandard value and the quality of the air gets degraded. Owing to the technological advances in machine learning (ML), it is possible to develop predictionapproaches to monitor and control pollution using real time data. With thedevelopment of the Internet of Things (IoT) and Big Data Analytics (BDA),there is a huge paradigm shift in how environmental data are employed forsustainable cities and societies, especially by applying intelligent algorithms.In this view, this study develops an optimal AI based air quality prediction andclassification (OAI-AQPC) model in big data environment. For handling bigdata from environmental monitoring, Hadoop MapReduce tool is employed.In addition, a predictive model is built using the hybridization of ARIMAand neural network (NN) called ARIMA-NN to predict the pollution level.For improving the performance of the ARIMA-NN algorithm, the parametertuning process takes place using oppositional swallow swarm optimization(OSSO) algorithm. Finally, Adaptive neuro-fuzzy inference system (ANFIS)classifier is used to classify the air quality into pollutant and non-pollutant.A detailed experimental analysis is performed for highlighting the betterprediction performance of the proposed ARIMA-NN method. The obtainedoutcomes pointed out the enhanced outcomes of the proposed OAI-AQPCtechnique over the recent state of art techniques.展开更多
<div style="text-align:justify;"> Environmental barrier coatings (EBCs) play a critical role in mitigating the degradation of SiC<sub>f</sub>/SiC ceramic matrix composites (CMCs) in complex...<div style="text-align:justify;"> Environmental barrier coatings (EBCs) play a critical role in mitigating the degradation of SiC<sub>f</sub>/SiC ceramic matrix composites (CMCs) in complex combustion environment, and improve the service life of thermal engine components. In this paper, by adjusting the parameters of atmospheric plasma spraying (APS), the spraying process of ytterbium disilicate (Yb<sub>2</sub>Si<sub>2</sub>O<sub>7</sub>) under a lower power has been optimized. A two-layer EBC system consisting of ytterbium disilicate and silicon is prepared on the SiC<sub>f</sub>/SiC composite substrate by using optimized technological parameters. The thermal resistance and water oxygen corrosion resistance of such two-layer EBC system are investigated. The results indicate that the current ytterbium disilicate/silicon EBC system exhibits good phase stability, excellent water vapor and oxygen corrosion resistance. However, the exposed silicon bonding layer tends to generate an excessive thermal growth oxide (TGO) layer known as SiO<sub>2</sub>, leading to an early spallation of the coating. </div>展开更多
Based on an analysis of major recent social events in China,such as the 2008 Beijing Olympic Games,2010 Shanghai World Expo,2014 Nanjing Youth Olympic Games,and 2014 Beijing Asia Pacific Economic Cooperation Conferenc...Based on an analysis of major recent social events in China,such as the 2008 Beijing Olympic Games,2010 Shanghai World Expo,2014 Nanjing Youth Olympic Games,and 2014 Beijing Asia Pacific Economic Cooperation Conference,mandatory,temporary,and indemnificatory quantitative policies aimed at protecting air quality,which were carried out by both central and local governments,made substantial contributions to changes and improvements in air quality.To some extent,the findings show that command and control measures play a significant role in protecting air quality,while the law and economic and voluntary environmental safeguard measures do not during major social events.Therefore,it reminds us the air quality could and will improve not only during major social events but also in the regular days if we implement appropriate environmental policies and safeguard measures.展开更多
The haze has become the necessary thing to talk about everywhere for the Chinese people nowadays and the main report object in the news. It becomes increasingly urgent to develop the circular economy and build a beaut...The haze has become the necessary thing to talk about everywhere for the Chinese people nowadays and the main report object in the news. It becomes increasingly urgent to develop the circular economy and build a beautiful China. But there exists secretly a game between the central and local governments when the air protection is enforced. The central government calls for implementing the total control system of the key pollutant emission,but the local governments are blandly ignoring the central government＇s requirement as they have to face the pressures of the assessment and performance. And the games among the local governments at the same level and between the governments and enterprises lead that the existing incentive policy through the legislation is inefficiency in China. The amendment about Environmental Law has laid foundation of the legal system for it.展开更多
With the atmospheric stereoscopic monitoring, air quality forecasting and decision of environment management as the main line, and comprehensive management system as the guidance, five platforms including infrastruct...With the atmospheric stereoscopic monitoring, air quality forecasting and decision of environment management as the main line, and comprehensive management system as the guidance, five platforms including infrastructure, technological support, monitoring and early monitoring, decision support and information services were established. These platforms have 15 subsystems, including stereoscopic monitoring network, visual business consultation, high-performance computing environment, comprehensive management of atmospheric data, emission inventories of pollu-tion sources, evaluation tools of atmospheric models, monitoring and management of air pollution, forecasting and early warning of air quality, diag-nostic analysis of atmospheric environment, tracking of air pollution sources, emergency management of air pollution, conformity management of air quality, comprehensive display of information, releasing of information to external networks, and releasing of information by mobile networks. The decision support system （DSS） of atmospheric environment management could realize an integration business system of 11 air quality forecast - heavy pollution weather warning - diagnosis of pollution causes （dynamic analysis of pollution sources） -air quality conformity planning （air pollu-tion emergency management） -evaluation of forecasting and warning results （evaluation pf management measures） -air quality forecasting＂ and provide the technical support for the prevention and control of atmosphere pollution in Anhui province.展开更多
Air pollution is a major environmental problem in the Niger Delta Area (NDA) of Nigeria primarily due to oil and gas-related operational activities. Identifiable sources of air pollution in the NDA include gas flaring...Air pollution is a major environmental problem in the Niger Delta Area (NDA) of Nigeria primarily due to oil and gas-related operational activities. Identifiable sources of air pollution in the NDA include gas flaring, vehicle emissions from internal combustion engines, crude oil pollution, etc. The aim of this research is to evaluate the concentration of air pollutants from crude oil-related activities using air quality parameters in Warri during seasons peculiar to the area of study. The Warri metropolis, one of Nigeria’s largest oil cities, was the sampling region under research in this study. An Aeroqual handheld mobile multi-gas monitor fitted with different sensors of (Carbon Monoxide (CO), air quality multi-meter for Particulate Matter (PM<sub>2.5</sub> and PM<sub>10</sub>), Volatile Organic (VOC), Sulphur dioxide (SO<sub>2</sub>), Ammonia (NH<sub>3</sub>), Methane (CH<sub>4</sub>), and air quality index (AQI), was used for the collection of air quality parameter. Linear regression was used to create the model, which was then used to predict the extent of pollution in the locations of study. The average mean concentrations of air pollutants such as CO, NO<sub>2</sub>, CH<sub>4</sub>, VOC, NH<sub>4</sub>, and SO<sub>2</sub> were measured at all sampling sites during wet and dry seasons. The results showed that the levels of these pollutants were above the WHO permissible limits for the majority of the air quality parameters studied in all sixteen locations. The concentration levels of most of the pollutants were higher in the dry season than in the rainy season. The study also found that the pollutants were mainly from fossil fuel combustion and road traffic emissions. Overall, the research provided monitoring data for all air quality pollutants under investigation in the study area and demonstrated that these concentrations exceed regulatory guidelines.展开更多
基金funded by the National Key Research and Development Program(Grant No.2022YFD2002202)Beijing Innovation Consortium of Agriculture Research System(BAIC08-2024-FQ04)+2 种基金Key Laboratory of Agricultural Sensors,Ministry of Agriculture and Rural Affairs(Grant No.PT2024-46)China Postdoctoral Science Foundation(Grant No.BX20230048)Postdoctoral fund of Beijing Academy of Agriculture and Forestry Sciences(Grant No.2023-ZZ-025).
文摘Air environmental information plays an important role during plant growth and reproduction, prompt and accurate prediction of atmospheric environmental data is helpful for agricultural robots to make a timely decision. For efficiency, an online learning method for predicting air environmental information was presented in this work. This method combines the advantages of convolutional neural network (CNN) and experience replay technique: CNN is used to extract features from raw data and predict atmospheric environmental information, experience replay technique can store environmental data over some time and update the hyperparameters of CNN. To validate the effects of this method, this online method was compared with three different predictive methods (including random forest, multi-layer perceptron, and support vector regression) using a public dataset (Jena). According to results, a suitable sample sequence size (e.g., 16) has a smaller number of training sessions and stable results, a larger replay memory size (e.g., 200) can provide enough samples to capture useful features, and 6 d of historical information is the best setting for training predictor. Compared with traditional methods, the method proposed in this study is the only method applied for various conditions.
文摘In a local context, sustainable development entails utilizing the current resources—material and immaterial, measurable and immeasurable, popular and unpopular—of the community in a manner that avoids overexploitation and ensures intergenerational equity. This approach prioritizes the safety and health of local citizens, placing communal productivity above corporate profitability. This research aims to assess air quality surrounding 28 chemical industry sites in Baton Rouge, Louisiana, to understand the environmental and health impacts of industrial pollutants, with a focus on environmental justice. Air quality pollutants, including PM2.5, PM10, O3, NO2, CO, and SO2, were monitored for 75 days during the Summer, using the BreezoMeter app. Python, Mapize, and QGIS software technologies were utilized for data analysis and visualization. Findings indicate a reduction in NO2 and CO levels, compared to existing literature. However, the persistent challenge of particulate matter suggests areas for further environmental management efforts. Additionally, the research suggests a significant disparity in air pollution exposure, probably affecting marginalized communities. Although the nature of the study might not fully capture annual pollution trends, the findings highlight the urgent need for the chemical industry to adopt efficient production methods and for policymakers to enhance air quality standards and enforcement, particularly in pollution-sensitive areas. The disproportionate impact of air pollution on vulnerable communities calls for a more inclusive approach to environmental justice, ensuring equitable distribution of clean air benefits and community involvement in pollution management decisions.
文摘With 1 185 pi eces of questionnaire, it is found that in China, people take fresh air, odor, e tc., as well as indoor air temperature, humidity, as the most important indoor a ir parameters. It is also found that there is a significant sensitivity differen ce in indoor environment between southerners and northerners in China. People fr om different regions have different demands for their working and living environ ment. Therefore, as a good design of air conditioning system, it is strongly rec ommended that the different demands of people from different regions should be t aken into consideration.
基金The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under grant number(RGP2/45/43)Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R135)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:(22UQU4270206DSR02).
文摘Environmental sustainability is the rate of renewable resourceharvesting, pollution control, and non-renewable resource exhaustion. Airpollution is a significant issue confronted by the environment particularlyby highly populated countries like India. Due to increased population, thenumber of vehicles also continues to increase. Each vehicle has its individualemission rate;however, the issue arises when the emission rate crosses thestandard value and the quality of the air gets degraded. Owing to the technological advances in machine learning (ML), it is possible to develop predictionapproaches to monitor and control pollution using real time data. With thedevelopment of the Internet of Things (IoT) and Big Data Analytics (BDA),there is a huge paradigm shift in how environmental data are employed forsustainable cities and societies, especially by applying intelligent algorithms.In this view, this study develops an optimal AI based air quality prediction andclassification (OAI-AQPC) model in big data environment. For handling bigdata from environmental monitoring, Hadoop MapReduce tool is employed.In addition, a predictive model is built using the hybridization of ARIMAand neural network (NN) called ARIMA-NN to predict the pollution level.For improving the performance of the ARIMA-NN algorithm, the parametertuning process takes place using oppositional swallow swarm optimization(OSSO) algorithm. Finally, Adaptive neuro-fuzzy inference system (ANFIS)classifier is used to classify the air quality into pollutant and non-pollutant.A detailed experimental analysis is performed for highlighting the betterprediction performance of the proposed ARIMA-NN method. The obtainedoutcomes pointed out the enhanced outcomes of the proposed OAI-AQPCtechnique over the recent state of art techniques.
文摘<div style="text-align:justify;"> Environmental barrier coatings (EBCs) play a critical role in mitigating the degradation of SiC<sub>f</sub>/SiC ceramic matrix composites (CMCs) in complex combustion environment, and improve the service life of thermal engine components. In this paper, by adjusting the parameters of atmospheric plasma spraying (APS), the spraying process of ytterbium disilicate (Yb<sub>2</sub>Si<sub>2</sub>O<sub>7</sub>) under a lower power has been optimized. A two-layer EBC system consisting of ytterbium disilicate and silicon is prepared on the SiC<sub>f</sub>/SiC composite substrate by using optimized technological parameters. The thermal resistance and water oxygen corrosion resistance of such two-layer EBC system are investigated. The results indicate that the current ytterbium disilicate/silicon EBC system exhibits good phase stability, excellent water vapor and oxygen corrosion resistance. However, the exposed silicon bonding layer tends to generate an excessive thermal growth oxide (TGO) layer known as SiO<sub>2</sub>, leading to an early spallation of the coating. </div>
基金sponsored by National Social Science Fund [grant number 13&ZD172]
文摘Based on an analysis of major recent social events in China,such as the 2008 Beijing Olympic Games,2010 Shanghai World Expo,2014 Nanjing Youth Olympic Games,and 2014 Beijing Asia Pacific Economic Cooperation Conference,mandatory,temporary,and indemnificatory quantitative policies aimed at protecting air quality,which were carried out by both central and local governments,made substantial contributions to changes and improvements in air quality.To some extent,the findings show that command and control measures play a significant role in protecting air quality,while the law and economic and voluntary environmental safeguard measures do not during major social events.Therefore,it reminds us the air quality could and will improve not only during major social events but also in the regular days if we implement appropriate environmental policies and safeguard measures.
文摘The haze has become the necessary thing to talk about everywhere for the Chinese people nowadays and the main report object in the news. It becomes increasingly urgent to develop the circular economy and build a beautiful China. But there exists secretly a game between the central and local governments when the air protection is enforced. The central government calls for implementing the total control system of the key pollutant emission,but the local governments are blandly ignoring the central government＇s requirement as they have to face the pressures of the assessment and performance. And the games among the local governments at the same level and between the governments and enterprises lead that the existing incentive policy through the legislation is inefficiency in China. The amendment about Environmental Law has laid foundation of the legal system for it.
基金Supported by the National Science and Technology Support Plan(2014BAC22B06)Public Welfare Research Project of Science and Technology Department of Anhui Province in 2017(1704f0804056)
文摘With the atmospheric stereoscopic monitoring, air quality forecasting and decision of environment management as the main line, and comprehensive management system as the guidance, five platforms including infrastructure, technological support, monitoring and early monitoring, decision support and information services were established. These platforms have 15 subsystems, including stereoscopic monitoring network, visual business consultation, high-performance computing environment, comprehensive management of atmospheric data, emission inventories of pollu-tion sources, evaluation tools of atmospheric models, monitoring and management of air pollution, forecasting and early warning of air quality, diag-nostic analysis of atmospheric environment, tracking of air pollution sources, emergency management of air pollution, conformity management of air quality, comprehensive display of information, releasing of information to external networks, and releasing of information by mobile networks. The decision support system （DSS） of atmospheric environment management could realize an integration business system of 11 air quality forecast - heavy pollution weather warning - diagnosis of pollution causes （dynamic analysis of pollution sources） -air quality conformity planning （air pollu-tion emergency management） -evaluation of forecasting and warning results （evaluation pf management measures） -air quality forecasting＂ and provide the technical support for the prevention and control of atmosphere pollution in Anhui province.
文摘Air pollution is a major environmental problem in the Niger Delta Area (NDA) of Nigeria primarily due to oil and gas-related operational activities. Identifiable sources of air pollution in the NDA include gas flaring, vehicle emissions from internal combustion engines, crude oil pollution, etc. The aim of this research is to evaluate the concentration of air pollutants from crude oil-related activities using air quality parameters in Warri during seasons peculiar to the area of study. The Warri metropolis, one of Nigeria’s largest oil cities, was the sampling region under research in this study. An Aeroqual handheld mobile multi-gas monitor fitted with different sensors of (Carbon Monoxide (CO), air quality multi-meter for Particulate Matter (PM<sub>2.5</sub> and PM<sub>10</sub>), Volatile Organic (VOC), Sulphur dioxide (SO<sub>2</sub>), Ammonia (NH<sub>3</sub>), Methane (CH<sub>4</sub>), and air quality index (AQI), was used for the collection of air quality parameter. Linear regression was used to create the model, which was then used to predict the extent of pollution in the locations of study. The average mean concentrations of air pollutants such as CO, NO<sub>2</sub>, CH<sub>4</sub>, VOC, NH<sub>4</sub>, and SO<sub>2</sub> were measured at all sampling sites during wet and dry seasons. The results showed that the levels of these pollutants were above the WHO permissible limits for the majority of the air quality parameters studied in all sixteen locations. The concentration levels of most of the pollutants were higher in the dry season than in the rainy season. The study also found that the pollutants were mainly from fossil fuel combustion and road traffic emissions. Overall, the research provided monitoring data for all air quality pollutants under investigation in the study area and demonstrated that these concentrations exceed regulatory guidelines.
