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Nonlinear multivariate modelling of wetland dynamics

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conference contribution
posted on 2023-05-16, 15:50 authored by Angesh AnupamAngesh Anupam

 Wetlands are very complex yet pivotal ecosystems on Earth. They serve as habitats for various flora and fauna. Alongside, wetlands are crucial for biogeochemical exchange between the Earth’s surface and its atmosphere. A large proportion of organic carbon is sequestered in wetlands and plays a substantial role in the carbon cycle. The planning and management of wetlands depend a lot upon a reliable wetland model. The underlying complex dynamics of wetlands hinder the modelling of wetland extent. This study for the first time considers multivariate nonlinear dynamical system modelling using Nonlinear Autoregressive with Exogenous Inputs (NARX) model class. The data consists of weather variables and wetland fractions for two wetland sites falling under Asia and Africa. The model is simulated using fresh testing data and can predict wetland extent satisfactorily for both sample sites. The accuracy of the models is quantified using Root Mean square Error (RMSE) and Mean Absolute Error (MAE). A transparent NARX structure reveals the dynamical elements for the potential planning and management of wetlands. 

History

Presented at

AISS 2022: 2022 4th International Conference on Advanced Information Science and System Sanya China November 25 - 27, 2022

Published in

AISS '22: Proceedings of the 4th International Conference on Advanced Information Science and System

Publisher

ACM

Version

  • VoR (Version of Record)

Citation

Angesh Anupam (2022) 'Nonlinear multivariate modelling of wetland dynamics', In 2022 4th International Conference on Advanced Information Science and System (AISS 2022), November 25–27, 2022, Sanya, China. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3573834.3574500

ISBN

978-1-4503-9793-3

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Angesh Anupam

Copyright Holder

  • © The Publisher

Language

  • en

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