| 摘要: |
| 揭示草原地区城镇夜空光污染形态影响因素，对城镇可持续发展与生态环境保护具有现实意义。以内蒙古草原地区典型城镇夜空光环境形态为研究对象，采用实地测量与卫星数据相结合的方法，对夜空光污染形态进行量化分析。结果表明：1.典型城镇夜空光污染影响因素包括城镇整体照明强度、平面形态和内部结构，并得到形态表现的具体相关参数。2.城镇照明强度对夜空光污染的空间分布具有显著影响。照明强度的总和和极差与光污染的平面形态相关性较强；标准差与光污染的分布特征相关性较强。3.典型城镇夜空光污染具有明显的空间异质性，不同城镇的光污染分布具有显著的几何和分形差异。基于城镇本体和光污染外部形态层面归纳影响因素，以期对内蒙古及类似地区夜空光污染的科学评估与有效治理提供理论基础和数据支持。 |
| 关键词: 夜空光污染 草原城镇 形态 影响因素 内蒙古地区 |
| DOI： |
| 分类号:X321、TU113.19 |
| 基金项目:“草原夜空广域光分布特征与评价研究”(51908298)内蒙古自然科学基金(RZ1800008279)内蒙古自治区基本科研业务费项目（ZTY2025003） |
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| Research on the Influencing Factors of Night Sky Light Pollution Patterns in Inner Mongolia Grassland Towns |
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Ding Yang, Su Xiaoming, Hao Zhanguo, Cao Dun, Wen Xin, Han Zeyang
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Inner Mongolia University of Technology
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| Abstract: |
| Light pollution in urban and suburban areas has become an increasingly significant environmental issue, particularly in ecologically sensitive regions such as the Inner Mongolia grasslands. As urbanization progresses, artificial lighting affects nocturnal ecosystems, human health, and astronomical observations. However, research on light pollution in grassland towns, which have distinct spatial and structural characteristics compared to large metropolitan areas, remains limited. This study focuses on understanding the morphological influencing factors of night sky light pollution in Inner Mongolia's grassland towns. The research explores how urban lighting intensity, planar morphology, and internal structural layout contribute to variations in light pollution levels, using a combination of field measurements and satellite data analysis.
Inner Mongolia’s grassland towns have unique spatial configurations due to their historical, economic, and environmental contexts. Unlike densely populated urban centers, these towns have lower population densities and more dispersed urban layouts, yet they exhibit significant light pollution due to increasing urbanization. The primary objective of this study is to identify and quantify the key morphological factors influencing night sky brightness in these regions. Specifically, the study aims to:Measure and analyze the intensity of artificial lighting in selected grassland towns.
Examine the relationship between urban form (e.g., shape, size, and internal structure) and the extent of light pollution.Utilize geometric and fractal parameters to quantify these relationships and derive actionable insights for light pollution mitigation.
The study employs a comprehensive methodological framework combining field measurements, satellite imagery analysis, and statistical modeling. The methodology includes the following steps:
1. Field Measurements.Light pollution was quantified using a combination of specialized instruments, including:Sky Quality Meters (SQM): Used to measure sky brightness at multiple locations within and around selected towns.Color Illuminance Meters: Employed to assess the spectral characteristics of artificial lighting sources.Digital Cameras with Calibrated Filters: Used to capture spatial variations in light pollution levels.
Measurements were conducted under clear-sky conditions around the time of the new moon (to minimize lunar illumination effects) and were repeated at different times to account for temporal variations.
2. Satellite Data Analysis.Nighttime light data from satellite sources were processed to assess large-scale patterns of light pollution. The data were analyzed in conjunction with GIS-based urban form analysis to extract parameters such as:Urban Area and Shape Index: The spatial extent and geometric configuration of the towns.Fractal Dimension (Box-Counting Method): A measure of the complexity and dispersion of artificial lighting sources within the urban area.Light Intensity Gradients: Variations in brightness as a function of distance from the urban core.
3. Statistical Analysis and Modeling.To identify correlations between urban morphology and light pollution levels, regression models were developed. The key independent variables included urban size, shape complexity, and lighting distribution, while the dependent variable was night sky brightness.
The analysis revealed several important findings regarding the relationship between urban morphology and light pollution in grassland towns:Lighting Intensity and Urban Density: Higher lighting intensity was observed in towns with compact layouts and centralized commercial zones. In contrast, towns with dispersed structures exhibited lower peak brightness but extended light pollution zones.Urban Shape and Light Pollution Distribution: Towns with irregular shapes and fragmented layouts tended to have more uneven light distribution, with multiple light pollution hotspots rather than a single concentrated source.Fractal Characteristics and Light Dispersion: The fractal dimension of urban layouts showed a strong correlation with light pollution spread. Higher fractal dimensions (indicating more complex urban forms) were associated with broader diffusion of artificial lighting.Distance Decay Effect: Light pollution intensity decreased non-linearly with distance from urban centers, but the rate of decline varied based on urban shape and lighting infrastructure.
The findings underscore the significance of urban morphology in shaping night sky brightness. Unlike traditional urban areas where high-density development leads to concentrated light pollution, grassland towns exhibit distinct dispersion patterns due to their spatial configurations. The study suggests that:Implementing targeted lighting policies (e.g., shielding, directional lighting) can mitigate excessive brightness without compromising urban functionality.Zoning regulations should consider the spatial arrangement of lighting infrastructure to minimize unnecessary light dispersion.Fractal analysis provides a useful quantitative tool for assessing and predicting light pollution patterns, which can aid in designing more sustainable urban lighting strategies.
This study provides a comprehensive assessment of the morphological factors influencing night sky light pollution in Inner Mongolia’s grassland towns. By integrating field measurements with satellite data and geometric analysis, the research highlights the complex interplay between urban form and artificial lighting. The results offer valuable insights for policymakers and urban planners seeking to balance development with environmental conservation. Future research should expand the scope of analysis to include seasonal variations, the impact of different light sources and the effectiveness of mitigation strategies over time. |
| Key words: Night sky light pollution Grassland towns Morphology Influencing factors Inner Mongolia |
