Spatiotemporal heterogeneity, source apportionment, and transformation-driven partitioned control of nitrate pollution in urban river network: Isotopic and Bayesian insights from the Liuxi-Baini River Basin
Key Points
Nitrate pollution is influenced by variable sources across seasons and locations, impacting water quality.
Isotopic analysis indicates specific origins of nitrate, helping identify key contributors in the river basin.
The study utilizes Bayesian insights to effectively model and predict nitrate source contributions over time.
Findings highlight the need for tailored pollution control strategies within urban river frameworks.
Spatiotemporal heterogeneity, source apportionment, and transformation-driven partitioned control of nitrate pollution in urban river network: Isotopic and Bayesian insights from the Liuxi-Baini River Basin | Synapse