EVALUATING HABITABILITY OF WATER ENVIRONMENTS FOR FIREFLIES WITH AN ARTIFICIAL INTELLIGENCE MODEL

Authors

  • Shengping Zhang
  • Jie Qi

Keywords:

Water Environment, Artificial Intelligence (AI), Firefly Habitability, Sensitivity Analysis

Abstract

: This study constructs an artificial intelligence (AI) model to evaluate water environments, and
applies an artificial neural network system to this AI model construction. This AI model has been tested in a
real urban river basin. The evaluation results based on the model reveal that most parts of the river do not meet
its management goal of being suitable for fireflies to inhabit. Therefore, a sensitivity analysis based on the AI
Model is carried out to select and rank the river environment improvement measures in terms of the
effectiveness of improvement. This study has shown that an AI Model is able to reveal and simulate the
complicated relationships between river management goals and diverse river environment factors and also is
able to make the sensitivity analysis and the selecting of effective river environment improvement measures
much more convenient and reliable. This study will contribute to establishing a more reliable river environment
planning and management methodology.

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Published

2020-04-29

How to Cite

Shengping Zhang, & Jie Qi. (2020). EVALUATING HABITABILITY OF WATER ENVIRONMENTS FOR FIREFLIES WITH AN ARTIFICIAL INTELLIGENCE MODEL. GEOMATE Journal, 18(68), 87–93. Retrieved from https://geomatejournal.com/geomate/article/view/547