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A deep analytics for prediction and forecasting of air quality in Chennai
33-53Views:10Air pollution is a global crisis with profound implications for public health and environmental sustainability. In addressing this issue in Chennai, Tamil Nadu, a novel Hadoop-based real-time air pollution prediction system is proposed. This research offers accurate air quality information for specific Chennai regions, aiding decisions and mitigating pollution risks through big data analytics and deep learning for air quality prediction. To expedite air quality prediction, a vast air pollution dataset is rigorously analyzed using a Hadoop-based analytics model. Specific locations in Chennai, including Perungudi, Royapuram, Manali, Alandur, Arumbakkam, Kodungaiyur, and Velachery, are assessed for upto- date air quality evaluations. The core of the research revolves around implementing deep learning models—Long Short-Term Memory, Convolutional Neural Network, and a hybrid Long Short-Term Memory-Convolutional Neural Network model. These models are trained to forecast AQI for selected areas over the next five years, with the hybrid model emerging as the standout performer, achieving 99% of accuracy rate and mean absolute error, mean square error, root mean square error rates of 7.95, 101.71, 9.65. This high accuracy and low error rates empowers policymakers and environmental agencies to make informed decisions, fostering healthier living conditions in Chennai. The integration of big data analytics and deep learning, promises improved air quality management in urban areas globally, addressing similar environmental challenges and enhancing overall quality of life.
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Exploring air quality and health effects during diwali: A comprehensive study in Lucknow city
16-32Views:5Diwali, a revered cultural festival nationwide, poses significant environmental challenges, especially in urban hubs like Lucknow. Traditionally marked by elaborate rituals and widespread firecracker usage, Diwali contributes notably to air pollution. Amid mounting concerns over environmental degradation's health impacts, this study examines Diwali's air pollution dynamics, indoor exposure factors, and health effects in Lucknow. By dissecting these intricacies, it seeks to inform targeted interventions for environmental preservation and community health enhancement. The study adopts an exploratory survey design, employing both primary and secondary data collection methods. Primary data, acquired through structured questionnaires, involves 523 parents and 179 doctors in Lucknow, Uttar Pradesh. Quota and purposive sampling techniques were utilised to select participants meeting specific criteria. Statistical analyses, including frequency, Chi-square, and exploratory factor analysis, were conducted using SPSS version 25 to achieve research objectives. The results of the Diwali 2023 air pollution survey in Lucknow City indicate a significant rise in PM10 and PM2.5 levels, notably during nighttime, attributed to firecracker burning. Slight increases in SO2 and NO2 suggest additional fuel combustion. Further, hypotheses testing associations between locality types and indoor air pollution sources revealed significant links to factors like burning mosquito repellents, candles, and genetic predispositions. Doctors highlighted children in flats/apartments, aged 0-4, as most vulnerable, citing socioeconomic and behavioural influences. Seasonal variations and festivals, particularly Diwali, exacerbate air pollution effects. Doctors noted diverse health impacts, from respiratory issues to neurological effects, stressing the need for comprehensive mitigation efforts.
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Environmental monitoring using linden tree leaves as natural traps of atmospheric deposition: a pilot study in Transilvania, Romania
24-35Views:192Atmospheric pollution caused by toxic elements is an emerging problem of concern. Tree leaves have been widely used as indicator of atmospheric pollutions and they are effective alternatives to the more usual biomonitoring methods. Tree leaves can be used as natural traps of atmospheric deposition. Elemental composition of dust deposited onto leaf surfaces can be used to characterize the urban environment. A pilot survey including 16 Romanian settlements was carried out in order to evaluate the characteristics and sources of air pollutants. Tree leaves (Tilia tomentosa, Tilia cordata, Tilia platyphyllos) were collected and used for the measurements. Elemental analyses were carried out by ICP-OES and ICP-MS. Principal component and discriminant analyses were used to characterizing and estimating the level of pollution. Settlements were grouped on the basis of discriminant function values. Multivariate comparison of chemical data ordered the settlements into 3 main groups, which showed a systematic geographic distribution.
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Environment protection and its reflection in the environmental consciousness of the inhabitants in a middle-sized town (Vác, Hungary)
83-94Views:128Abstract The paper presents the role of urban environmental protection in sustainable development while analysing the factors influencing the environmental consciousness of the inhabitants of a middle-sized town based on a general model, together with the role of environmental consciousness in solving environmental protection problems at settlement level. My particular research focused on characterising the environmental state of Vác, with a population of 35000 people, and on the knowledge and environmental consciousness of the inhabitants. In the course of the representative questionnaire survey, 439 people gave assessable answers. Questions were related to the most significant environmental problems (air pollution, water contamination, sewage treatment, waste management). Answers were compared to the real situation based on measurements. Results revealed that the knowledge of the inhabitants on local environmental problems is better than the national average. In certain relations (water contamination, sewage treatment), however, it is deficient, thus information transfer was studied separately as well. It can be stated that local governments should make greater efforts in order to inform inhabitants. Environmental attitude of the inhabitants can be regarded as good. Based on the general model, I analysed the tasks of the settlement to improve environmental consciousness in order to increase efficiency of urban environmental protection.