A groundbreaking study has applied a Bayesian multistage factorial analysis to unravel the complex interplay between water resources, environmental health, and ecological systems in Ordos, China. Researchers developed a multi-indicator evaluation framework to assess the synergistic carrying capacity — the ability of regional systems to sustainably balance resource use, pollution control, and ecological stability.
Unlike traditional single-indicator models, this Bayesian approach integrates probability, uncertainty, and interdependence across multiple stages, revealing hidden feedback loops and synergistic effects. The case study in Ordos demonstrates that urban expansion, industrial development, and ecological constraints must be managed collectively to prevent trade-offs and maximize sustainability.
The findings provide critical insights for policy-making, water resource planning, and ecological restoration, offering a more scientific basis for managing fragile arid regions like Ordos where water scarcity is a defining challenge.
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