4.7 Article

Analysis of the evolution of urban nighttime light environment based on time series

Journal

SUSTAINABLE CITIES AND SOCIETY
Volume 78, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scs.2021.103660

Keywords

Night light environment; Natural factors; Predicted sequence; Monochromatic light; Time series

Funding

  1. National Key Research and Develop-ment Program of China [2017YFE0125900]
  2. National Natural Science Foundation of China [52178067]

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Excessively bright nighttime light environment is an increasingly serious environmental problem. This study used continuous monitoring and data analysis for 5 years to explore the factors affecting the night light environment, including moon phase, atmospheric pollution, and cloudiness. The results showed an increasing trend in nighttime brightness in the study area over the past five years. Historical data can be used to predict future changes in the light environment and support urban lighting planning.
Excessively bright nighttime light environment has become an increasingly serious environmental problem. The Sky Quality Meter isused to continuously monitor the urban night light environment at the commanding heights of the building for 5 years. This study used correlation analysis and control variables to analyze the evolution and seasonal changes of the night light environment in Dalian from 2016 to 2021. Meteorological data were combined to explore the mechanism of natural factors on the light environment. The results showed the following: (1) the closer the moon phase is to the full moon, the brighter the night sky is; (2) The night sky brightness becomes brighter with the increase of atmospheric pollution; (3) Cloudiness will double the magnification effect of artificial lighting on the night sky; (4) The nighttime brightness of the study area has shown a certain increasing trend in the past five years. The annual average brightness value has elevated year by year, from 3.3 x 10(-2) cd/m(2) to 5.6 x 10(-2) cd/m(2); (5) Historical data can be used to predict the changing trend of the light environment in the future and provide a data basis for future urban ecological lighting planning .

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