Risk assessment system and prevention suggestions of night light pollution based on AHP and PLS

Tianqi Ying; Linzhi Jiang; Xianpeng Chen; Xinzhi Liu

doi:10.54097/hset.v48i.8298

Authors

Tianqi Ying
Linzhi Jiang
Xianpeng Chen
Xinzhi Liu

DOI:

https://doi.org/10.54097/hset.v48i.8298

Keywords:

Light Pollution, AHP, State Space Regression Model, Light Response Model, Partial Least Squares.

Abstract

The appearance of light has brought great convenience to people’s life and promoted the development of the social economy. However, inappropriate or overused artificial lighting creates severe light pollution, adversely affecting people, organisms, and the climate. In this paper, the analytic hierarchy process is used to evaluate the severity of the influence of light pollution. The partial least squares, regression curve, and other methods comprehensively analyze the causes of light intensity and pollution. Finally, suggestions are put forward for preventing and controlling light pollution in different areas.

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