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  • Harnessing Computational Power to Tackle Air Pollution: Modeling, Simulation, and Prediction Techniques

    Harnessing Computational Power to Tackle Air Pollution by Yadav, Akhilesh Kumar; Yang, Hsi-Hsien;

    Modeling, Simulation, and Prediction Techniques

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      • Publisher's listprice EUR 171.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        71 001 Ft (67 620 Ft + 5% VAT)
      • Discount 12% (cc. 8 520 Ft off)
      • Discounted price 62 481 Ft (59 506 Ft + 5% VAT)

    71 001 Ft

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    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 25 February 2026

    • ISBN 9783032139528
    • Binding Hardback
    • No. of pages254 pages
    • Size 235x155 mm
    • Language English
    • Illustrations VII, 254 p. 55 illus., 54 illus. in color.
    • 700

    Categories

    Long description:

    This book examines the central role of computational methods in understanding, predicting, and mitigating air pollution, a critical challenge for both public health and environmental sustainability. The book offers foundations of air pollution modeling, emphasizing computational fluid dynamics for simulating pollutant dispersion and transport in relation to urban landscapes, meteorological conditions, and airflow. These approaches are complemented by statistical methods and models that broaden the scope of air quality simulations.

    While highlighting major advances, the book also addresses persistent challenges: the demand for greater model accuracy, the need to manage uncertainty, the complexity of urban systems, and the computational intensity of many techniques. Developments such as parallel computing and reduced-order models are presented as promising directions for overcoming these obstacles.

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    Table of Contents:

    1 Computational Approaches for Air Pollution Assessment.- 2 Advanced Computational Methods for Air Pollution Modeling and Simulation.- 3 Adaptive Holistic Air Quality Modeling and Machine Learning.- 4 Transforming Air Quality Monitoring Through Artificial Intelligence.- 5 AI-driven Approaches to Air Pollution and Environmental Ethics.- 6 Artificial Intelligence for Real-time Air Quality Monitoring and Forecasting.- 7 Artificial Intelligence Driven Models for Air Pollution and Related Health Outcomes.- 8 Artificial Intelligence for Enhanced Air Pollution Monitoring and Prediction.- 9 Collaborative Data Science for Citizen-driven Air Pollution Monitoring and Prediction.- 10 Neural Network-Based PM10 Prediction of Mandideep.- 11 Enhancing Industrial Emission Predictions with the AirGuard Framework.- 12 Ethical Considerations for Air Pollution Research.- 13 Bridging the Gap in Sustainable Urban Development Through Pollution Control.- 14 Clean Air Insights Evaluating the Impact of Pollution Control Regulations in India.- 15 Harmful Effects of Indoor Air Pollution on Women.

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