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基于SDGSAT-1数据的深圳市夜间灯光格局

Spatial patterns of urban nighttime lights in Shenzhen using SDGSAT-1 imagery
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摘要 夜间灯光是城市的重要景观要素。灯光在支撑人类活动的同时,对人类健康和生态系统的负面(城市光污染)影响正在引起广泛关注。本研究以特大城市深圳市为例,基于高空间分辨率SDGSAT-1夜间灯光数据,揭示城市夜间灯光格局。结果表明:深圳市灯光整体以低辐射亮度灯光为主,其中红光波段辐射亮度远高于其他波段;各灯光波段的辐射亮度在空间分布上均呈现高度异质性。功能区间灯光辐射亮度和光谱组成均存在显著差异。商业区灯光平均辐射亮度最高,居民区灯光平均辐射亮度中等。蓝光波段辐射亮度的功能区间差异最大(相对极差26.76%),商业区和生态空间蓝光波段辐射亮度占比最高,居民区占比中等,交通区和市政区占比最低。夜间灯光强度沿城乡梯度递减。城市中心各波段的平均辐射亮度是城郊的1.4倍、乡村的8.5倍;对不同功能区而言,商业区的城乡辐射亮度差异最大,达到6倍。本研究结果指示城市中心的商业区、分布广泛的居民区和生态空间均是光污染的重点管控区域,并提出了针对性的灯光管理策略,为缓解城市灯光污染提供了科学支撑。 Artificial light is a key element of the urban nocturnal landscape.Despite its role in enabling diverse nocturnal human activities,artificial light is drawing growing concern for its adverse impacts on human health and ecosystems-a problem known as urban light pollution.Taking the megacity of Shenzhen as an example,we investigated the nighttime-light pattern based on high spatial resolution SDGSAT-1 GLI glimmer imagery.We found that light brightness in Shenzhen was dominated by low values,with the values of red band being significantly higher than those of other spectral bands.There was high spatial heterogeneity in the distribution of light brightness across all bands.The brightness and spectral composition of nighttime light diverged markedly across functional zones.Commercial areas exhibited the highest average brightness,whereas the residential areas showed moderate average brightness.Blue band showed the most pronounced differences in light brightness across functional zones(with a relative range difference of 26.76%).The light brightness proportion of blue band in commercial areas and green spaces was the highest,while a medium proportion was found in the residential areas,and the lowest proportion was found in the transportation areas and municipal areas.Light brightness decreased along the urban-rural gradient.The average brightness across different bands in urban centers was 1.4 times that of the suburbs and 8.5 times that of rural areas.The commercial areas exhibited the greatest urban-rural disparity,reaching a six-fold difference.Our results indicate that the commercial areas in urban center,the widely distributed residential areas,and green spaces are priority regions for light pollution control.We propose specific lighting management strategies,providing scientific support for alleviating urban light pollution.
作者 何贞晓 谭中琦 盛瀚澜 段美玲 张志明 靖传宝 HE Zhenxiao;TAN Zhongqi;SHENG Hanlan;DUAN Meiling;ZHANG Zhiming;JING Chuanbao(School of Ecology and Environmental Science,Yunnan University,Kunming 650091,China;Institute of International Rivers and Eco-security,Yunnan University,Kunming 650091,China)
出处 《生态学杂志》 2026年第4期1134-1142,共9页 Chinese Journal of Ecology
基金 国家重点研发计划项目(2022YFF1303103)资助。
关键词 功能区 SDGSAT-1 GLI 空间格局 城乡差异 functional zone SDGSAT-1 GLI spatial pattern urban-rural difference

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