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Wetland Ecotourism Development Using Deep Learning and Grey Clustering Algorithm from the Perspective of Sustainable

Bintao Shao1, Longtao Chen2, Nian Xing3

  • 1School of Economics and Management, Shihezi University, Shihezi, Xinjiang 832000, China.

Journal of Environmental and Public Health
|August 15, 2022
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Summary
This summary is machine-generated.

This study developed accurate models to predict wetland ecotourism passenger flow and evaluate water quality, aiding sustainable development. The hybrid model demonstrated superior accuracy for forecasting visitor numbers and ensuring environmental health.

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Area of Science:

  • Ecotourism research
  • Environmental management
  • Data science applications

Background:

  • Sustainable development of wetland ecotourism is crucial for China.
  • Accurate prediction of passenger flow and water quality is needed for effective management.
  • Zhangye Heihe wetland ecotourism spot serves as the case study.

Purpose of the Study:

  • To promote sustainable development of wetland ecotourism in China.
  • To plan passenger flow considering different tourism periods.
  • To evaluate water quality in relation to tourism seasons.

Main Methods:

  • Developed two single wetland ecotourism Demand Prediction Models (DPMs) using optimized Fuzzy Clustering Algorithm (FCA), grey theory, and Markov Chain.
  • Proposed a hybrid DPM combining the two single models: optimized fuzzy grey clustering algorithm.
  • Developed a Water Quality Evaluation (WQE) model using Deep Learning Backpropagation Neural Network (DL BPNN).

Main Results:

  • The hybrid DPM achieved the highest accuracy with a Mean Absolute Percentage Error (MAPE) of 1.25% and Root Mean Square Error (RMSE) of 0.2532.
  • Single models showed higher errors (MAPE: 11.67%, 1.45%; RMSE: 0.2526, 0.1652).
  • Water quality is significantly better in the wet season compared to dry and flat seasons.

Conclusions:

  • The hybrid model offers superior accuracy and stability for predicting wetland ecotourism passenger flow.
  • Water quality is a critical factor, with wet seasons showing better conditions.
  • Integrating environmental factors like water quality and passenger flow is essential for ecotourism strategies.