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Nature Environmental Protection, 2022, 3(1); doi: 10.38007/NEP.2022.030104.

Natural Protection Environment Under the "the Belt and Road" Based on Artificial Neural Network

Author(s)

Huaju Xue

Corresponding Author:
Huaju Xue
Affiliation(s)

Qinghai Normal University, Qinghai, China

Abstract

In the "the Belt and Road" strategy, focusing on the development of environmental protection industry and building an information platform for environmental protection technology can promote the sustainable development of industries in the "the Belt and Road" related areas. In order to solve the shortcomings of the existing research on natural protection environment under the "the Belt and Road", this paper discusses the ecological vulnerability of the green "the Belt and Road" and the northwest region, as well as the derivation process of the artificial neural network, and investigates and discusses the pretreatment of environmental pollution source monitoring data and the establishment of the evaluation index system. Through the artificial neural network, the abnormal values of the environmental ingenious pollution source data were corrected and analyzed, and the ecological environment vulnerability assessment in northwest China was established based on the artificial neural network. The experimental data shows that the artificial neural network can provide a reference basis for detecting and judging the abnormal degree of the abnormal value between 47~58ug/m3 after correcting the abnormal value of the daily average environmental pollution source data in January, within the range of the monthly average emission change.

Keywords

"The Belt and Road", Artificial Neural Network, Nature Protection Environment, Ecological Vulnerability

Cite This Paper

Huaju Xue. Natural Protection Environment Under the "the Belt and Road" Based on Artificial Neural Network. Nature Environmental Protection (2022), Vol. 3, Issue 1: 26-34. https://doi.org/10.38007/NEP.2022.030104.

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