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探索沿海旅游业增长与环保化之间的联系:环境管理的挑战

Yijia Li¹, Diyuan Cheng², Nawal Abdalla Adam³

¹School of Business, Shandong Xiehe University, Jinan, Shandong 250109, China.

Marine pollution bulletin

|April 17, 2025

概括

沿海旅游业的扩张显著加剧了海洋肥胖化,营养水平增加了40%. 机器学习可以准确预测这些水质降低的区域,突出显示了综合沿海管理的必要性.

科学领域:

海洋生态海洋生态学
环境科学环境科学
沿海地区的管理

背景情况:

沿海旅游业的增长带来了环境挑战,特别是海洋生态系统的优化.
地中海沿海地区面临与旅游业相关的水质问题越来越多.
由营养丰富驱动的优化,威胁到海洋生物多样性和生态系统健康.

研究的目的:

调查沿海旅游业的扩张与地中海地区的肥胖化之间的相关性.
确定与旅游业相关的水质下降的主要驱动因素.
评估支持矢量机器 (SVM) 在识别优化热点方面的预测能力.

主要方法:

使用支持矢量机器 (SVM) 进行预测分析.
综合长期环境监测数据与旅游统计数据 (2000-2023年).
分析了营养物质度 (,) 和TRIX指数值.

主要成果:

旅游活动较多的地区,和含量增加了40%.
在旅游热点中,TRIX指数值从中性转变为温性转变.
在 SVM 模型中,在预测缩区方面,SVM 模型的准确度超过了 90%.
降低水质的水质季节性达到高峰,随着大量游客的涌入.

结论:

沿海旅游业是地中海缩的一个重要驱动因素.
预测建模,特别是SVM,对于沿海水质管理是有效的.
综合环境管理提高了旅游受影响地区的生态弹性.
战略规划和机器学习对于可持续的沿海旅游发展至关重要.

关键词:

沿海旅游业的增长环境管理环境管理欧洲化是什么意思?优化化带来的挑战.监控技术的监控技术

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