Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)

The Assessment and Predictive Analysis of Factors Influencing EU Countries’ Bathing Water Quality

Authors
Sixiang Liu1, *
1St Edward’s College, Birgu, Malta
*Corresponding author. Email: seoog4star@gmail.com
Corresponding Author
Sixiang Liu
Available Online 9 May 2025.
DOI
10.2991/978-94-6463-708-3_10How to use a DOI?
Keywords
Environmental Quality Assessment; Bathing Water Quality; Random Forest Regression; Time Series Forecasting
Abstract

The issue of water quality in the Seine River during the Paris Olympics has again drawn significant attention to the importance of bathing water quality. As bathing water is a critical concern for the health and safety of residents and tourists across the EU, it is essential to understand the factors influencing its condition. In this study, we will explore how bathing water quality in EU countries is affected by six specific factors: CO₂ emissions, tourism GDP, average temperature, rainfall, number of tourists, and wastewater treatment grade. Through the random Forest Regression Analysis, the results show that rainfall is the main factor affecting the quality of both inland and coastal bathing water, wastewater treatment is the least influential factor for coastal bathing water quality, and the average temperature is the least influential factor for inland bathing water quality. By time series forecasting analysis to predict the bathing water quality of nine countries for the next ten years, 2023 to 2032, and compare the data about 2023 bathing water quality, knowing that Poland, Denmark and the Netherlands may have higher predicted water quality than reality.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
Series
Atlantis Highlights in Engineering
Publication Date
9 May 2025
ISBN
978-94-6463-708-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-708-3_10How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sixiang Liu
PY  - 2025
DA  - 2025/05/09
TI  - The Assessment and Predictive Analysis of Factors Influencing EU Countries’ Bathing Water Quality
BT  - Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
PB  - Atlantis Press
SP  - 71
EP  - 82
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-708-3_10
DO  - 10.2991/978-94-6463-708-3_10
ID  - Liu2025
ER  -