WEI Ye, CHEN Zuoqi, XIU Chunliang, YU Bailang, LIU Hongxing. Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method[J]. Chinese Geographical Science, 2019, 29(6): 949-961. doi: 10.1007/s11769-019-1079-2
Citation: WEI Ye, CHEN Zuoqi, XIU Chunliang, YU Bailang, LIU Hongxing. Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method[J]. Chinese Geographical Science, 2019, 29(6): 949-961. doi: 10.1007/s11769-019-1079-2

Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method

doi: 10.1007/s11769-019-1079-2
Funds:

Under the auspices of the National Natural Science Foundation of China (No. 41871162)

  • Received Date: 2018-12-10
  • 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.
  • [1] Cauwels P, Pestalozzi N, Sornette D, 2014. Dynamics and spatial distribution of global nighttime lights. EPJ Data Science, 3(1):2. doi: 10.1140/epjds19
    [2] Chen Z Q, Yu B L, Song W et al., 2017. A new approach for de-tecting urban centers and their spatial structure with nighttime light remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 55(11):6305-6319. doi:10.1109/TGRS. 2017.2725917
    [3] Cinzano P, Falchi F, Elvidge C D et al., 2000. The artificial night sky brightness mapped from DMSP satellite operational lines-can system measurements. Monthly Notices of the Royal As-tronomical Society, 318(3):641-657. doi: 10.1046/j.1365-8711.2000.03562.x
    [4] Cinzano P, Falchi F, Elvidge C D, 2001. The first world atlas of the artificial night sky brightness. Monthly Notices of the Royal Astronomical Society, 328(3):689-707. doi: 10.1046/j.1365-8711.2001.04882.x
    [5] Cinzano P, 2004. A portable spectrophotometer for light pollution measurements. Memorie Della Società Astronomica Italiana Supplement, 5:395-398.
    [6] Collison F M, Poe K, 2013. ‘Astronomical tourism’:the astron-omy and dark sky program at Bryce canyon national park. Tourism Management Perspectives, 7:1-15. doi: 10.1016/j.tmp.2013.01.002
    [7] Duriscoe D M, Anderson S J, Luginbuhl C B et al., 2018. A sim-plified model of all-sky artificial sky glow derived from VIIRS Day/Night band data. Journal of Quantitative Spectroscopy and Radiative Transfer, 214:133-145. doi:10.1016/j.jqsrt. 2018.04.028
    [8] Ebdon D, 1985. Statistics in Geography. 2nd ed. Oxford:Black-well.
    [9] Hänel A, Posch T, Ribas S J et al., 2018. Measuring night sky brightness:methods and challenges. Journal of Quantitative Spectroscopy and Radiative Transfer, 205:278-290. doi: 10.1016/j.jqsrt.2017.09.008
    [10] Hearnshaw J, 2015. The Aoraki Mackenzie international dark sky reserve and light pollution issues in New Zealand. In:IAU General Assembly. IAU, 22, Hawaii.
    [11] Hillger D, Kopp T, Lee T et al., 2013. First-light imagery from Suomi NPP VIIRS. Bulletin of the American Meteorological Society, 94(7):1019-1029. doi: 10.1175/BAMS-D-12-00097.1
    [12] 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.
    [13] International Dark-Sky Association (IDA), 2018. Dark sky reserve program guidelines. https://www.darksky.org/wp-content/uploads/2018/12/IDSR-Guidelines-2018.pdf. Cited 3 May 2019.
    [14] Jechow A, Kolláth Z, Ribas S J et al., 2017. Imaging and mapping the impact of clouds on skyglow with all-sky photometry. Scientific Reports, 7(1):6741. doi: 10.1038/s41598-017-06998-z
    [15] Jiang W, He G J, Long T F et al., 2017. Assessing light pollution in China based on nighttime light imagery. Remote Sensing, 9(2):135. doi: 10.3390/rs9020135
    [16] Jiang W, He G J, Long T F et al., 2018. Potentiality of using Luojia 1-01 nighttime light imagery to investigate artificial light pollution. Sensors, 18(9):2900. doi: 10.3390/s18092900.
    [17] Khoi D D, Murayama Y, 2010. Delineation of suitable cropland areas using a GIS based multi-criteria evaluation approach in the Tam Dao national park region, Vietnam. Sustainability, 2(7):2024-2043. doi: 10.3390/su2072024
    [18] Kyba C C M, Garz S, Kuechly H et al., 2015. High-resolution imagery of earth at night:new sources, opportunities and challenges. Remote Sensing, 7(1):1-23. doi:10.3390/rs 70100001
    [19] Latham J, Cumani R, Rosati I et al., 2014. FAO global land cover (GLC-SHARE) beta-release 1.0 database, land and water divi-sion. http://www.fao.org/uploads/media/glc-share-doc.pdf. Citied 3 December 2018.
    [20] Li X, Chen F R, Chen X L, 2013. Satellite-observed nighttime light variation as evidence for global armed conflicts. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5):2302-2315. doi:10.1109/JSTARS. 2013.2241021
    [21] Li X, Li D R, 2014. Can night-time light images play a role in evaluating the Syrian Crisis? International Journal of Remote Sensing, 35(18):6648-6661. doi: 10.1080/01431161.2014.971469
    [22] Liu J, Wang J, Wang S H et al., 2018. Analysis and simulation of the spatiotemporal evolution pattern of tourism lands at the Natural World Heritage Site Jiuzhaigou, China. Habitat Inter-national, 79:74-88. doi: 10.1016/j.habitatint.2018.07.005
    [23] Malville J M, 2008. Guide to Prehistoric Astronomy in the Southwest, Revised and Updated. Boulder, CO:Johnson Printing Company.
    [24] Miller D S, 1997. Stars of the First People:Native American Star Myths and Constellations. Bel Air, CA:Westwinds Press.
    [25] Miller S D, Hawkins J D, Kent J et al., 2006. NexSat:previewing NPOESS/VIIRS imagery capabilities. Bulletin of the American Meteorological Society, 87(4):433-446. doi: 10.1175/BAMS-87-4-433.
    [26] 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: 10.3390/rs5126717
    [27] Navara K J, Nelson R J, 2007. The dark side of light at night:physiological, epidemiological, and ecological consequences. Journal of Pineal Research, 43(3):215-224. doi: 10.1111/j.1600-079X.2007.00473.x
    [28] Nurbandi W, Yusuf F R, Prasetya R et al., 2016. Using visible infrared imaging radiometer suite (VIIRS) imagery to identify and analyze light pollution. IOP Conference Series:Earth and Environmental Science, 47:012040. doi: 10.1088/1755-1315/47/1/012040
    [29] Pauley S M, 2004. Lighting for the human circadian clock:recent research indicates that lighting has become a public health issue. Medical Hypotheses, 63(4):588-596. doi: 10.1016/j.mehy.2004.03.020
    [30] 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: 10.1002/jtr.1987
    [31] Saaty T L, 1980. The Analytic Hierarchy Process:Planning, Pri-ority Setting, Resource Allocation. New York:McGraw-Hill.
    [32] 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: 10.3390/rs6021705
    [33] Sui D Z, 1993. Integrating neural networks with GIS for spatial decision making. Operational Geographer, 11(2):13-20.
    [34] Williamson R A, 1984. Living the Sky:The Cosmos of the American Indian. Norman, OK:University of OklahomaPress.
    [35] Yang J, Guo A D, Li Y H et al., 2019. Simulation of landscape spatial layout evolution in rural-urban fringe areas:a case study of Ganjingzi district. GIScience & Remote Sensing, 56(3):388-405, doi: 10.1080/15481603.2018.1533680.
    [36] Zheng Q M, Weng Q H, Huang L Y et al., 2018. A new source of multi-spectral high spatial resolution night-time light image-ry-JL1-3B. Remote Sensing of Environment, 215:300-312. doi: 10.1016/j.rse.2018.06.016
    [37] Zhou Chenghu, Cheng Weiming, 2014. China 1:4 Million Digital Landform Data Set. (in Chinese)
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Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method

doi: 10.1007/s11769-019-1079-2
Funds:

Under the auspices of the National Natural Science Foundation of China (No. 41871162)

Abstract: 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.

WEI Ye, CHEN Zuoqi, XIU Chunliang, YU Bailang, LIU Hongxing. Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method[J]. Chinese Geographical Science, 2019, 29(6): 949-961. doi: 10.1007/s11769-019-1079-2
Citation: WEI Ye, CHEN Zuoqi, XIU Chunliang, YU Bailang, LIU Hongxing. Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method[J]. Chinese Geographical Science, 2019, 29(6): 949-961. doi: 10.1007/s11769-019-1079-2
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