Near-surface high-density monitoring sensor network-based dispersion pattern of urban-scale particulate matter：taking central urban area of Xiangyang City as an example

XUE Wei; XIAO Jingxuan; ZHU Yuhe; MA Xuan; FAN Yuli; KONG Hong; WU Zhonghua; SUN Zhihao; XU Genyu; ZHAN Qingming

doi:10.13300/j.cnki.hnlkxb.2026.01.004

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Near-surface high-density monitoring sensor network-based dispersion pattern of urban-scale particulate matter：taking central urban area of Xiangyang City as an example

High-quality development of urban-rural with green integration | 更新时间：2026-11-05

- Near-surface high-density monitoring sensor network-based dispersion pattern of urban-scale particulate matter：taking central urban area of Xiangyang City as an example
- Journal of Huazhong Agricultural University Vol. 45, Issue 1, Pages: 37-51(2026)
- 作者机构：
  
  1.江汉大学精细爆破全国重点实验室/数字建造与爆破工程学院，武汉 430056
  2.东南大学建筑学院，南京 210096
  3.长安大学建筑学院，西安 710064
  4.中国地质大学（武汉）公共管理学院/长江流域国土空间治理与绿色发展研究院，武汉 430074
  5.湖北省生态环境厅襄阳生态环境监测中心，襄阳 441021
  6.武汉市自然资源保护利用中心，武汉 430014
  7.云南大学建筑与规划学院，昆明 650500
  8.武汉大学城市设计学院/数字城市研究中心，武汉 430072
- 作者简介：
- 基金信息：
- DOI：10.13300/j.cnki.hnlkxb.2026.01.004
  CLC： X513
- Received：29 August 2025，
  
  Published：15 January 2026
- 稿件说明：
移动端阅览
薛维，肖景轩，朱宇赫，等.基于近地面高密度监测传感网的城市尺度颗粒物扩散分布特征：以襄阳市中心城区为例［J］.华中农业大学学报，2026，45（1）：37‐51.

XUE Wei,XIAO Jingxuan,ZHU Yuhe,et al.Near-surface high-density monitoring sensor network-based dispersion pattern of urban-scale particulate matter：taking central urban area of Xiangyang City as an example[J].Journal of Huazhong Agricultural University,2026,45(01):37-51.
薛维，肖景轩，朱宇赫，等.基于近地面高密度监测传感网的城市尺度颗粒物扩散分布特征：以襄阳市中心城区为例［J］.华中农业大学学报，2026，45（1）：37‐51. DOI： 10.13300/j.cnki.hnlkxb.2026.01.004.

XUE Wei,XIAO Jingxuan,ZHU Yuhe,et al.Near-surface high-density monitoring sensor network-based dispersion pattern of urban-scale particulate matter：taking central urban area of Xiangyang City as an example[J].Journal of Huazhong Agricultural University,2026,45(01):37-51. DOI： 10.13300/j.cnki.hnlkxb.2026.01.004.

摘要

为解决城市尺度颗粒物扩散特征难以识别、规划可实施性欠缺的问题，在襄阳市中心城区构建146个站点的近地面高密度监测传感网，以获取高空间分辨率的PM

2.5

、PM

、风速和风向数据。在此基础上，提出一种兼顾机理解释性与计算效率的污染识别方法：在高斯扩散机理约束下对工业源、扬尘源及蓝绿空间等影响因素进行多尺度连续表征；提出双精度嵌套策略筛选关键因素；利用地理加权回归解析各因素对颗粒物的空间异质性影响。结果显示：工业源在热电厂和产业园区周边形成1.2~4 km片区集聚，并沿“园区-物流通道”呈走廊增强；工地与货运物流在主要交通轴线形成条带状高影响区，且物流活动对PM

的影响显著高于PM

2.5

；蓝色空间在低开发强度区域与主风道耦合处形成约2 km的污染缓解带，高强度开发则削弱其效应；绿色空间具有消减作用，对PM

更显著，但施工扰动会抵消其短期效益。据此，提出面向规划实践的转译路径：构建“分区-分段-分点”的综合治理优先序；沿物流通道、产业园边界和高暴露区布置带状、片带复合或楔形补绿；在关键节点嵌入口袋式复层绿化；在主风道保持低密度布局与通风连续性。结果表明，相比传统空间统计方法，该识别方法在解释性、精度与算力间实现更优平衡，可识别同源异质与异源叠加的关键区段。

Abstract

A near-surface high

-density sensor network with 146 sites in the central urban area of Xiangyang City，Hubei Province，China，was established to collect high-resolution data on PM

2.5

，PM

，wind speed，and wind direction to solve the problem of difficulty in identifying the dispersion patterns of urban-scale particulate-matter （PM） and the lack of planning feasibility. On this basis，a method of identifying pollution that balances the interpretability of mechanism and the efficiency of computation was proposed.Multi-scale continuous characterization of affecting factors including industrial emissions，fugitive dust，and blue-green spaces was conducted under the constraints of Gaussian diffusion mechanism.A dual-precision nested strategy was proposed to screen key factors.The geographically weighted regression （GWR） was used to analyze the spatial heterogeneity effects of various factors on particulate matter.The results showed that industrial sources clustered in a 1.2-4 km area around thermal power plants and industrial parks，and intensified along the “park-logistics corridor” pathways.The construction sites and freight logistics formed banded high-impact zones along the major transportation axes，and the effect of logistics activities on PM

was significantly higher than that on PM

2.5

.The blue spaces formed about 2-kilometer-wide mitigation belts at the coupling point between the area with low-intensity of development and the main ventilation corridors，while the high-intensity of development weakened its effect.The green spaces generally reduced PM，especially PM

，but short-term benefits was offset by construction disturbances.Based on this，a translation path with a “zone-corridor-node” priority scheme，targeted greening configurations along logistics corridors and park edges，pocket-scale multilayer planting at key nodes，and continuity of low-density layouts and ventilation corridors for planning practice was proposed.It is indicated that the established method achieves a better balanc

e between the interpretability，accuracy，and the computational power compared to the traditional methods of spatial statistics，and can identify key segments of homologous heterogeneity and exogenous overlap.

关键词

Keywords

references

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