Academic Journal of Environment & Earth Science, 2023, 5(5); doi: 10.25236/AJEE.2023.050507.
Yuyang Ma1, Yifei Song2, Ruiyu Zhang2
1Tourism School, Xi’an International Studies University, Xi'an, Shaanxi, 710128, China
2Business School, Xi’an International Studies University, Xi'an, Shaanxi, 710128, China
Light pollution is a new type of environmental pollution, long-term exposure to light pollution not only harms human health, but also restricts urban development and even threatens biodiversity [1]. In order to evaluate the risk level of light pollution in different regions, this paper first selects 9 indicators leading to light pollution risk, takes 10,000 regions in the world as samples, constructs a neural network model, and the output of the network is the probability value of the light pollution risk level in the region. To improve the accuracy of the output, the parameters are then updated by back propagation to constrain the predicted regional risk level to be close to the actual risk level. Finally, four real areas are selected, and the indicator data brought into the area is used to obtain the risk level.
light pollution risk level, neural network model, back propagation algorithm
Yuyang Ma, Yifei Song, Ruiyu Zhang. Research on regional light pollution risk level measurement based on neural network model. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 5: 41-45. https://doi.org/10.25236/AJEE.2023.050507.
[1] Zhang Shijun. Light pollution-a new type of environmental pollution [J]. Urban problem, 2004 (06): 31-34+42.
[2] Chen Chaonan. Research on light pollution and countermeasures in urban night lighting [J]. Low Carbon World, 2021, 11(5): 2.
[3] Liu Tianyuan. Light pollution control: a two-way examination of domestic practice and foreign experience [J]. Journal of Northwestern University for Nationalities: Philosophy and Social Science Edition, 2022(1): 8.
[4] Hao Qingli, Ren Zhuofei, Liu Gang, etc. Under the coercion of light and noise pollution, the risk evaluation of urban ecological plaques and birds [J]. Journal of Ecology, 2022, 42 (06): 2186-2201.
[5] Xiao-Ting W, Ai-Hong L, Pei-Long S. Research on Regional Financial Risk Measurement and Evaluation Based on Macro Balance Sheet:Taking Shanxi Province as an Example[J].On Economic Problems, 2019.
[6] Li Z, Huang S, Xu HW, Wu Duxiong, Zhou Gang, & Wu Chunhai. (2020). A study on the status of light pollution standards for urban night scenes. China Lighting Appliances.
[7] Jiang Yixin, Shi Yingying, Gao Shuo, etc. The impact of artificial noise, artificial light and road kill on amphibians [J]. Bio diversity, 2023, 31 (03): 220-232.