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基于夜光遥感的自然保护区光污染演变研究
刘 鸣1, 李瑞聪2, 刘清源3, 李熙4, 吴承龙3
1.(通讯作者):大连理工大学建筑与艺术学院,教授,liumingyitj@163.com;2.大连理工大学建筑与艺术学院,博士研究生;3.大连理工大学建筑与艺术学院,硕士研究生;4.武汉大学测绘遥感信息工程全国重点实验室,教授
摘要:
自然保护区是为了保护生物多样性 及生态系统而划定的区域,对生物及其环境起 着重要的作用;近年来,随着城市建成区的不 断扩大,逐渐受到人工光的侵扰。为探究城市 化进程中我国自然保护区的光污染状况,以 2012—2021 年校正后的NPP/VIIRS(搭载在 NPP卫星上的传感器:可见光红外成像辐射 套件)夜光遥感图像为研究对象, 借助 ArcGIS 平台,从数量变化、水平变化和强度 变化三方面,分析我国自然保护区的光污染 变化。结果发现:第一,2012—2021 年我国 未受人工光污染的自然保护区数量在逐渐减 少,到2021 年研究样本中仅剩52 个,主要 分布于黑龙江和内蒙古;第二,我国自然保 护区光污染的程度整体呈上升趋势;第三, 本次研究范围内,其中有50.56%的自然保护 区光污染呈增加趋势,多数地区污染程度提 高一个层级,空间上主要分布于西部和西南 地区,38%自然保护区光污染呈稳定趋势, 主要分布于中部和东部地区;11%的自然保 护区光污染呈下降趋势,主要分布东北的黑 龙江和内蒙古地区。本研究结果为更全面地 控制自然保护区光污染提供了科学依据,为 生态保护决策提供了重要支撑。
关键词:  自然保护区  夜光遥感  光污染  NPP/VIIRS  生态保护
DOI:10.13791/j.cnki.hsfwest.20231205001
分类号:
基金项目:国家自然科学基金面上项目(52178067)
Evolution of light pollution in nature reserves based on luminous remote sensing
LIU Ming,LI Ruicong,LIU Qingyuan,LI Xi,WU Chenglong
Abstract:
Nature reserves are designated areas aimed at protecting biodiversity and ecosystems, playing a crucial role in preserving biological species and their environments. In recent years, with the continuous expansion of urban built-up areas, nature reserves have gradually been encroached upon by artificial light. This study utilizes vector surface data and point data provided by the China Nature R eserve Biological Specimen Resource Sharing Platform. Additionally, the study employs NPP/ VIIRS monthly data from 2012 to 2021, synthesizing it into annual average data, and optimizes data quality through processes such as outlier removal, negative value elimination, noise reduction, and continuity correction. The research methodology primarily focuses on changes in the quantity, level, and intensity of light pollution. Firstly, regarding quantity changes, this study adopts an NPP/VIIRS pixel value of ≤0.33 as the standard for unpolluted areas and uses the maximum pixel value within a reserve to determine whether it is polluted. Data from 2012 to 2021 are analyzed to calculate the annual proportion of nature reserves free from light pollution. Secondly, for level changes, two nighttime light indices are constructed to represent light pollution levels: the first is the Total Nighttime Light (TNL) of all nature reserves nationwide, and the second is the Mean Nighttime Light (NTM) of nature reserves. Finally, for intensity changes, a linear regression trend analysis is applied to assess light pollution trends across all nature reserves, with linear regression models established based on calculated values for each reserve. The findings are as follows. 1) From a regional perspective, nature reserves in the northwest and north China regions experience relatively less light pollution, with Shaanxi, Qinghai, and Shanxi Provinces being the least affected. In contrast, the central-south region shows the most significant light pollution, with Guangdong, Guangxi, and Hainan Provinces having the highest levels. Over the past decade, the number of nature reserves affected by light pollution has increased in most provinces, with only a few remaining stable. Hainan and Guangdong Provinces experienced the most significant changes, each adding 13 affected reserves, while Jiangxi, Liaoning, Hunan, and Sichuan Provinces also saw notable increases. Stable regions fall into two categories: western provinces such as Ningxia Hui Autonomous Region, Qinghai Province and Guizhou Province saw no new light-polluted reserves, while areas like Tianjin maintained stable light environments from 2012 to 2021.2) A quantitative analysis of all nature reserves affected by human-induced light pollution at the national level reveals that TNL increased annually from 2012 to 2017 and stabilized from 2017 to 2021. From 2012 to 2021, the total DN value increased by 120 000, representing a 71.54% growth relative to 2021. Meanwhile, NTM showed an upward trend during the same period, rising from 0.66 in 2012 to 1.21 in 2021, with an increase of 0.55, representing an 83.85% growth relative to 2012. The analysis indicates that both the number of light-polluted nature reserves and NTM have been increasing, suggesting that light pollution is not only expanding in scope but also intensifying in strength.3) Overall, light pollution in nature reservesin the central and eastern regions tends to stabilize, while the western region shows a slow increase, and the northern region experiences a decline. Based on annual light radiation values, the study quantifies changes in the number of nature reserves affected by different levels of light pollution from 2012 to 2021. Among the three levels, the moderate level shows the most rapid growth, indicating that an increasing number of nature reserves in China are being affected by light pollution. The severe level reveals that parts of 227 nature reserves have light environments comparable to urban built-up areas, which could severely damage ecosystems and disrupt biological rhythms.This study evaluates changes in light pollution in China’s nature reserves using time-series-corrected NPP/ VIIRS nighttime light images from 2012 to 2021. Firstly, it quantitatively analyzes nature reserves unaffected by artificial light. Secondly, it establishes nighttime light indices to assess changes in light pollution across national nature reserves. Finally, it classifies light pollution based on light radiation values to analyze hierarchical changes in light pollution within nature reserves. The results provide a scientific basis for more comprehensive control of light pollution in nature reserves and offer critical support for ecological conservation decision-making. Future research will delve deeper into the potential impacts of light pollution on nature reserve ecosystems, including effects on plants, animals, and nocturnal environments, to provide further scientific evidence for ecological protection. By integrating multi-source remote sensing data and ground monitoring data, the precision and reliability of research can be enhanced, offering a more comprehensive understanding of light pollution in nature reserves. Future studies should also consider establishing buffer zones and formulating relevant policies to control and reduce light pollution in nature reserves.
Key words:  nature reserve  luminous remote sensing  light pollution  NPP/VIIRS  ecological protection