The complexity of water governance makes the involvement of multiple institutions, including citizens, as a prerequisite for the preparation of effective, efficient and appropriate research and policies. Co-creation of knowledge and solutions is increasingly seen as a necessity to address the complex dynamics associated with water pollution. As enabling technologies grow, new approaches that anticipate and assess potential impacts are being developed to foster research and innovation as a framework for responsible research and innovation.

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Water Quality Modelling Using Multilayer Neural Network and Multivariate Statistical Techniques

  • Diana Syulekchieva,
  • Stanislav Popov,
  • Blagovesta Midyurova,
  • Aleksandar Dimitrov,
  • Sotir Sotirov

摘要

The complexity of water governance makes the involvement of multiple institutions, including citizens, as a prerequisite for the preparation of effective, efficient and appropriate research and policies. Co-creation of knowledge and solutions is increasingly seen as a necessity to address the complex dynamics associated with water pollution. As enabling technologies grow, new approaches that anticipate and assess potential impacts are being developed to foster research and innovation as a framework for responsible research and innovation.