With the rapid development of population and urbanization and the progress of lighting technology, the influence of artificial light sources has increased. In this context, the problem of light pollution has attracted wide attention. Previous studies have revealed that light pollution can affect biological living environments, human physical and mental health, astronomical observations and many other aspects. Therefore, organizations internationally have begun to advocate for measures to prevent light pollution, many of which are recognized by the International Dark-Sky Association (IDA). In addition to improving public awareness, legal protections, technical treatments and other means, the construction of Dark Sky Reserves (DSR) has proven to be an effective preventive measure. So far, as a pioneer practice in this field, the IDA has identified 11 DSRs worldwide. Based on the DA requirements for DSRs, this paper utilizes NPP-VIIRS nighttime light data and other multi-source spatial data to analyze possible DSR sites in China. The land of China was divided into more than ten thousand 30 km × 30 km fishnets, and constraint and suitable conditions were designated, respectively, as light and cloud conditions, and scale, traffic and attractiveness conditions. Using a multiple criteria evaluation, 1443 fishnets were finally selected as most suitable sites for the construction of DSRs. Results found that less than 25% of China is not subject to light pollution, and less than 13% is suitable for DSR construction, primarily in western and northern areas, including Tibet, Xinjiang, Qinghai, Gansu and Inner Mongolia.
Dark Sky Reserves light pollution NPP-VIIRS siting multiple criteria evaluation China
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International Dark-Sky Association (IDA), 2001. The International Dark Sky Places conservation program recognizes and promotes excellent stewardship of the night sky. http://www.darksky.org/idsp/. Cited 10 March 2018.Google Scholar
Miller S D, Straka III W, Mills S P et al., 2013. Illuminating the capabilities of the Suomi national polar-orbiting partnership (NPP) visible infrared imaging radiometer suite (VIIRS) day/night band. Remote Sensing, 5(12): 6717–6766. doi: https://doi.org/10.3390/rs5126717CrossRefGoogle Scholar
Rodrigues A L O, Rodrigues A, Peroff D M, 2015. The sky and sustainable tourism development: a case study of a dark sky reserve implementation in Alqueva. International Journal of Tourism Research, 17(3): 292–302. doi: https://doi.org/10.1002/jtr.1987CrossRefGoogle Scholar
Saaty T L, 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. New York: McGraw-Hill.Google Scholar
Shi K F, Yu B L, Huang Y X et al., 2014. Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales: a comparison with DMSP-OLS data. Remote Sensing, 6(2): 1705–1724. doi: https://doi.org/10.3390/rs6021705CrossRefGoogle Scholar
Sui D Z, 1993. Integrating neural networks with GIS for spatial decision making. Operational Geographer, 11(2): 13–20.Google Scholar
Williamson R A, 1984. Living the Sky: The Cosmos of the American Indian. Norman, OK: University of OklahomaPress.Google Scholar