Tracking the optimal watershed landscape pattern for driving pollutant transport: Insights from the integration of mechanistic models and data-driven approaches

• Published in: Journal of environmental management 2025-01, Vol.373, p.123939, Article 123939
• Main Authors: Zheng, Yuexin, Li, Chong, Yu, Jingshan, Wang, Qianyang, Yue, Qimeng
• Format: Article
• Language: English
• Subjects: Coupling effect; Environmental Monitoring; Landscape pattern elements; Mechanism model; Models, Theoretical; Pollutant transport; Random forest; Rivers; Water Pollutants, Chemical - analysis; Water Quality
• ISSN: 0301-4797; 1095-8630; 1095-8630
• DOI: 10.1016/j.jenvman.2024.123939

Identifying landscape patterns conducive to pollutant transport control is of vitally importance for water quality protection. However, it remains unclear which landscape patterns can weaken the transport capacity of pollutants entering water bodies. To fill this gap, this study proposes a new framework. This framework quantifies the contribution of landscape patterns to pollutant migration; it also identifies the optimal landscape patterns capable of reducing pollutants entering rivers. Furthermore, it analyzes the impact pathways of landscape patterns on pollutant migration by integrating mechanism models, machine learning techniques, and structural equation models (SEM). The results showed that on cultivated land and urban land, when the slope reached 35%, the terrestrial transport intensity of NH₃-N peaked at 34 kg/km2 and 45 kg/km2 respectively, with more pollutants entering the receiving water bodies. Meanwhile, in the forest with a DEM of 900 m, the terrestrial transport intensity of NH₃-N was the highest (50 kg/km2). The complexity of the landscape boundary shape in areas dominated by cultivated land and forest was verified to have a significant impact on the terrestrial migration intensity of NH₃-N, with a contribution rate of over 65%. From the comparison results of multiple land use combinations, it can be seen that the combination of woodland and grassland indirectly weakens the transport capacity of pollutants entering water bodies by directly influencing the connectivity among landscape units. In particular, when the proportion of woodland and grassland reaches 75%, it has a positive effect on improving river pollution and is the optimal landscape combination pattern for reducing the pollution load of the river. The outcomes can be used to develop more efficacious optimization and regulation tactics for landscape patterns and offer a decision - making foundation for the control of pollutant transport in large basins. [Display omitted] •New framework proposed for quantifying landscape effect on pollutant transport.•Cropland boundary shape is the highest contributor to pollutant migration intensity.•Forestland-grassland combo curbs pollutants' entry into water bodies.•75% forest-grass area ratio is the optimal landscape pattern for pollutant control.