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June 13, 2026Energy & Environmental SustainabilityOpen Access

Engineering ecology for digital water pollution control: A collaborative innovation framework

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Authors

ZXZhengzhong XuYLYue LüZXZiliang Xue

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Overview

Randomized trial develops a framework for digital water pollution control, suggesting improved governance strategies.

Key Points

  • This study aims to create a collaborative framework using digital technologies to enhance water pollution governance.
  • Developed a Global Information Modelling (GIM)-based engineering ecology framework.
  • Created a pilot scenario for a transboundary river basin to test operational feasibility.
  • Integrated environmental data streams and real-time analysis with AI and collaborative governance mechanisms.
  • Implemented a GIM to simulate pollutant transport, facilitating upstream and downstream data integration.
  • Demonstrated improved decision-making through an adaptive feedback loop in governance.
  • Identified challenges such as data privacy and institutional resistance impacting implementation.

Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf4dafaef96ed7f056fbchttps://doi.org/10.1016/j.eesus.2026.100085
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