Academic literature on the topic 'Air – Pollution – Macau'

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Journal articles on the topic "Air – Pollution – Macau"

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Vong, Chi-Man, Weng-Fai Ip, Pak-kin Wong, and Jing-yi Yang. "Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines." Journal of Control Science and Engineering 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/518032.

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Forecasting of air pollution is a popular and important topic in recent years due to the health impact caused by air pollution. It is necessary to build an early warning system, which provides forecast and also alerts health alarm to local inhabitants by medical practitioners and the local government. Meteorological and pollutions data collected daily at monitoring stations of Macau can be used in this study to build a forecasting system. Support vector machines (SVMs), a novel type of machine learning technique based on statistical learning theory, can be used for regression and time series p
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Hang, Fong Iat, and Simon Fong. "AIR POLLUTANTS CONCENTRATION PREDICTION BASED ON TRANSFER LEARNING AND RECURRENT NEURAL NETWORK." International Journal of Extreme Automation and Connectivity in Healthcare 2, no. 1 (2020): 103–15. http://dx.doi.org/10.4018/ijeach.2020010106.

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Air pollution poses a great threat to human health, and people are paying more and more attention to the prediction of air pollution. Prediction of air pollution helps people plan for their outdoor activities and helps protect human health. In this article, long-short term memory recurrent neural networks were used to predict the future concentration of air pollutants in Macau. In addition, meteorological data and data on the concentration of air pollutants were used. Moreover, in Macau, some air quality monitoring stations have less observed data, and some AQMSs less observed data of certain
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Tam, Lap Mou, Pak Kin Wong, Hang Yuan Lao, and Zheng Chao Xie. "Preliminary Research of Environmentally Friendly Taxi Based on Comprehensive Evaluation in Macau SAR." Applied Mechanics and Materials 192 (July 2012): 445–49. http://dx.doi.org/10.4028/www.scientific.net/amm.192.445.

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To promote the green taxis in Macau SAR has being attractive because of the increasingly air pollution caused by vehicles’ emission. In order to improve the air quality and living condition in Macau, this paper shows us some environmentally friendly taxis to replace theconventional ones. In this paper, an overall picture of the current situation and tendency of world’s taxies is firstly presented. Secondly, the vehicle emissions of Macau taxi including environmentally friendly ones are detailedly demonstrated and compared. On the basis of feasibility, cost, safety and regulations related to Ma
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Liu, Yide, and Ivan Ka Wai Lai. "The Effects of Environmental Policy and the Perception of Electric Motorcycles on the Acceptance of Electric Motorcycles: An Empirical Study in Macau." SAGE Open 10, no. 1 (2020): 215824401989909. http://dx.doi.org/10.1177/2158244019899091.

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Air pollution is a serious environmental issue across the world and has drawn attention from researchers with different backgrounds. The carbon exhaust from gasoline vehicles is one cause of air pollution. One solution for reducing carbon emissions is to provide green vehicles, such as electric motorcycles, for drivers and passengers, which can help the sustainable development of the environment in an ecological way. This research discusses the market response to electric motorcycles in Macau by focusing on the effects of environmental policy. An environmental technology acceptance model was d
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Lei, Man Tat, Joana Monjardino, Luisa Mendes, David Gonçalves, and Francisco Ferreira. "Statistical Forecast of Pollution Episodes in Macao during National Holiday and COVID-19." International Journal of Environmental Research and Public Health 17, no. 14 (2020): 5124. http://dx.doi.org/10.3390/ijerph17145124.

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Statistical methods such as multiple linear regression (MLR) and classification and regression tree (CART) analysis were used to build prediction models for the levels of pollutant concentrations in Macao using meteorological and air quality historical data to three periods: (i) from 2013 to 2016, (ii) from 2015 to 2018, and (iii) from 2013 to 2018. The variables retained by the models were identical for nitrogen dioxide (NO2), particulate matter (PM10), PM2.5, but not for ozone (O3) Air pollution data from 2019 was used for validation purposes. The model for the 2013 to 2018 period was the on
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Lei, Man Tat, Joana Monjardino, Luisa Mendes, David Gonçalves, and Francisco Ferreira. "Macao air quality forecast using statistical methods." Air Quality, Atmosphere & Health 12, no. 9 (2019): 1049–57. http://dx.doi.org/10.1007/s11869-019-00721-9.

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Priadie, Bambang. "TEKNIK BIOREMEDIASI SEBAGAI ALTERNATIF DALAM UPAYA PENGENDALIAN PENCEMARAN AIR." Jurnal Ilmu Lingkungan 10, no. 1 (2012): 38. http://dx.doi.org/10.14710/jil.10.1.38-48.

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ABSTRAK Walaupun telah diberlakukan berbagai macam kebijakan dan peraturan terkait dengan pengendalian pencemaran air, namun penurunan kualitas badan air masih terus berlangsung. Hal ini disebabkan karena lemahnya pengawasan dan penegakan hukum maupun teknologi pengendalian pencemaran air yang berbasis pembubuhan bahan kimia masih belum bisa memenuhi kriteria yang diberlakukan. Tulisan ini menguraikan proses bioremediasi sebagai alternatif dalam upaya pengendalian pencemaran air, meliputi: isolasi, pengujian degradasi zat pencemar, dan perbanyakan bakteri. Hasil isolasi dan identifikasi yang b
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Song, Shaojie, Ye Wu, Xuan Zheng, et al. "Chemical characterization of roadside PM2.5 and black carbon in Macao during a summer campaign." Atmospheric Pollution Research 5, no. 3 (2014): 381–87. http://dx.doi.org/10.5094/apr.2014.044.

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Han, Hong Bo, Qin Dong, Yi Diao, Hui Ping Wei, and Min Jie Li. "Determination of Metal Elements in Maca from Different Areas by Inductively Coupled Plasma-Atomic Emission Spectrometry." Advanced Materials Research 978 (June 2014): 19–22. http://dx.doi.org/10.4028/www.scientific.net/amr.978.19.

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In this paper, the contents of these elements including Cu, Fe, Mn, Zn, Al, Cd, Pb, Ti and As were determined by ICP-AES technique, which elements originated from maca from different places. Detection limits ranged 0.0022 ug/ml-1 and 0.077ug/ml-1, the relative standard deviations for all these elements were lower than 2%, and recovery rates ranged 95.56% and 106.2%. The results showed that there were rich metal elements in maca from different places; contents of Fe and Al were highest; contents of Mn, Zn, Cu and Ti were moderately high, and contents of As, Cd and Pb were lowest. Futhermore, Cu
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Tang, Dengli, Yinan Lu, Wenyi Cai, and Xinwei Zhu. "Temporal and Spatial Distribution Characteristics of Air Pollution and the influence of Energy Structure in Guangdong-Hong Kong-Macao Greater Bay Area." IOP Conference Series: Earth and Environmental Science 446 (March 21, 2020): 032029. http://dx.doi.org/10.1088/1755-1315/446/3/032029.

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Dissertations / Theses on the topic "Air – Pollution – Macau"

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Liu, Yuan. "Development of a tool to estimate the atmospheric emissions with high spatial and temporal resolution over the Macau SAR." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3868750.

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Yang, Jing Yi. "An improved algorithm for data filtering based on variation for short term air pollution prediction in Macau." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2592957.

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Li, Xin. "High spatial and temporal resolution atmospheric emission inventory of road transport in Macau." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3868747.

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Man, Tat Lei. "Air Quality Management in Macao – assessment, development of an operational forecast, and future perspectives." Doctoral thesis, 2020. http://hdl.handle.net/10362/117168.

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A combination of assessment, operational forecast, and future perspective was thoroughly explored to provide an overview of the existing air quality problems in Macao. The levels of air pollution in Macao often exceed those recommended by the World Health Organization (WHO). In order for the population to take precautionary measures and avoid further health risks during high pollution episodes, it is important to develop a reliable air quality forecast. Statistical models based on linear multiple regression (MLR) and classification and regression trees (CART) analysis were succes
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Book chapters on the topic "Air – Pollution – Macau"

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Lei, Kin Seng, and Feng Wan. "Applying Ensemble Learning Techniques to ANFIS for Air Pollution Index Prediction in Macau." In Advances in Neural Networks – ISNN 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31346-2_57.

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Conference papers on the topic "Air – Pollution – Macau"

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Kin Seng Lei and Feng Wan. "Pre-processing for missing data: A hybrid approach to air pollution prediction in Macau." In 2010 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2010. http://dx.doi.org/10.1109/ical.2010.5585320.

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