<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Skiing depends on the external environment, in which material, energy and information are frequently exchanged, and this external environment greatly affects the quality of skiing’s existence. In this article, an ecosystem assessment algorithm based on ANN (Artificial Neural Network) is put forward. Based on this, a skiing development model under the influence of ecosystem factors is constructed to explore the influence of ecosystem factors on skiing development. The simulation results show that after many iterations, the error of this method is better than that of the comparison algorithm in ecosystem analysis, with the error reduced by 28.17 % and the recall rate reaching 94.65 %, which is improved by 16.88 % compared with the comparison algorithm. Therefore, this model can provide theoretical support for studying the influence of ecological and environmental factors on the growth of skiing. Based on the analysis of the characteristics of the regional landscape ecosystem, the eco-environmental impact assessment of the ski resort project predicts the impact of project construction on the regional landscape ecosystem. It explores ways and means to maintain the ecological integrity of the natural system to carry out project construction on the premise of protecting the local ecosystem and building a natural and artificial composite landscape ecosystem with reasonable structure and high efficiency.</p>
</abstract>

Skiing depends on the external environment, in which material, energy and information are frequently exchanged, and this external environment greatly affects the quality of skiing’s existence. In this article, an ecosystem assessment algorithm based on ANN (Artificial Neural Network) is put forward. Based on this, a skiing development model under the influence of ecosystem factors is constructed to explore the influence of ecosystem factors on skiing development. The simulation results show that after many iterations, the error of this method is better than that of the comparison algorithm in ecosystem analysis, with the error reduced by 28.17 % and the recall rate reaching 94.65 %, which is improved by 16.88 % compared with the comparison algorithm. Therefore, this model can provide theoretical support for studying the influence of ecological and environmental factors on the growth of skiing. Based on the analysis of the characteristics of the regional landscape ecosystem, the eco-environmental impact assessment of the ski resort project predicts the impact of project construction on the regional landscape ecosystem. It explores ways and means to maintain the ecological integrity of the natural system to carry out project construction on the premise of protecting the local ecosystem and building a natural and artificial composite landscape ecosystem with reasonable structure and high efficiency.

The Influence of Ecoenvironment Factors on the Development of Skiing

Ecological Chemistry and Engineering S

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"The Influence of Ecoenvironment Factors on the Development of Skiing"}

Skiing depends on the external environment, in which material, energy and information are frequently exchanged, and this external environment greatly affects...

The Influence of Ecoenvironment Factors on the Development of Skiing

Publié en ligne: 08 juil. 2023

Pages: 219 - 225

DOI: https://doi.org/10.2478/eces-2023-0022

Mots clés
ecosystem, skiing, assessment, regional landscape ecosystem

© 2023 Xiao Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The Influence of Ecoenvironment Factors on the Development of Skiing

Publié en ligne: 08 juil. 2023

Pages: 219 - 225

DOI: https://doi.org/10.2478/eces-2023-0022

Mots clésecosystem, skiing, assessment, regional landscape ecosystem

© 2023 Xiao Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
ecosystem, skiing, assessment, regional landscape ecosystem