沿海水质动态的时空模式和驱动因素:来自中国门湾可解释机器学习和PLS-SEM分析的见解

Aynuddin1, Yao Chen2, Jielong Xu3

  • 1College of the Environment and Ecology, Xiamen University, Xiamen, China; AKA Bogor Polytechnic, Ministry of Industry, Bogor, Indonesia.

Marine pollution bulletin
|January 15, 2026
PubMed
概括

城市地区有效的沿海水质管理是复杂的. 这项研究使用先进的方法来识别模式,确定土地使用变化等驱动因素,并确认综合沿海管理对可持续城市湾健康的好处.

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