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Ensemble Model for Lidar Data Analysis and Nocturnal Boundary Layer Height Estimation

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Intelligent Data Engineering and Analytics (FICTA 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 371))

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Abstract

The atmosphere of Earth is divided into five distinct layers, each with its own characteristics. Each layer has its own unique characteristics and plays a vital role in protecting life on Earth. The lowest part of the atmosphere on Earth is called the troposphere. One of its key characteristics is the nocturnal boundary layer (NBL), which plays a major role in the formation of clouds and precipitation patterns. The NBL layer characteristics change over time due to seasonal changes and other local influences; hence, they are important specially to understand the impact of the dispersion of pollutants in a growing industrial region. This paper presents the analysis of various research works carried out in the field of Lidar system analysis, study on nocturnal boundary layer, intercomparison of various methods for analysis and estimation of nocturnal boundary layer height and the study on ensemble technique for optimal estimation of NBL height. The experimental results showed that proposed ensemble method is more effective in computing optimal nocturnal boundary layer height than the analytical and signal processing methods when used individually to compute NBL height.

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Authors and Affiliations

  1. Department of AI and ML, School of Computing, Mohan Babu University, Tirupati, A.P., India

    Gurram Sunitha, Gurram Sunitha, K. Reddy Madhavi & J. Avanija

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju & Adepu Kirankumar

  3. Department of Mechanical Engineering, CMR Technical Campus, Hyderabad, Telangana, India

    Avala Raji Reddy

Authors
  1. Gurram Sunitha
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  2. K. Reddy Madhavi
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  3. J. Avanija
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  4. K. Srujan Raju
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  5. Adepu Kirankumar
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  6. Avala Raji Reddy
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Corresponding author

Correspondence to Gurram Sunitha .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Fiona Carroll

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    João Manuel R. S. Tavares

  4. Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Sandeep Singh Sengar

  5. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Peter Peer

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sunitha, G., Reddy Madhavi, K., Avanija, J., Srujan Raju, K., Kirankumar, A., Raji Reddy, A. (2023). Ensemble Model for Lidar Data Analysis and Nocturnal Boundary Layer Height Estimation. In: Bhateja, V., Carroll, F., Tavares, J.M.R.S., Sengar, S.S., Peer, P. (eds) Intelligent Data Engineering and Analytics. FICTA 2023. Smart Innovation, Systems and Technologies, vol 371. Springer, Singapore. https://doi.org/10.1007/978-981-99-6706-3_28

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