西部人居环境学刊2026，Vol.41Issue(2)：71-78,8.DOI:10.13791/j.cnki.hsfwest.20240915001
内蒙古草原城镇夜空光污染形态影响因素研究
Research on the influencing factors of night sky light pollution patterns in Inner Mongolia grassland towns
摘要
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 and 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.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 and Fractal Dimension.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 suggestions are as follows.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.关键词
夜空光污染/草原城镇/形态/影响因素/内蒙古地区Key words
night sky light pollution/grassland towns/morphology/influencing factors/Inner Mongolia分类
资源环境引用本文复制引用
丁杨,苏晓明,郝占国,曹敦,温馨,韩则阳..内蒙古草原城镇夜空光污染形态影响因素研究[J].西部人居环境学刊,2026,41(2):71-78,8.基金项目
国家自然科学基金项目(51908298) （51908298）
内蒙古自然科学基金项目(RZ1800008279) （RZ1800008279）
内蒙古自治区基本科研业务费项目(ZTY2025003) （ZTY2025003）
