摘要
城市绿地系统作为改善城市生态环境的重要组成部分，其对空气质量的调控作用日益受到关注。本研究以提升城市空气质量和优化绿地布局为目标，通过结合遥感数据、地面监测数据和地理信息系统技术，构建了多尺度评估模型，用于量化绿地系统对颗粒物（PM2.5和PM10）及气态污染物（如SO2、NO2和O3）的去除效果。研究选取典型城市区域为案例，分析了不同绿地类型、结构特征及其空间分布对空气质量的影响机制，并引入动态模拟方法预测未来情景下的改善潜力。结果表明，城市绿地对颗粒物具有显著的沉降和吸附作用，同时能够通过光合作用吸收气态污染物，其中乔木层贡献最为突出；此外，绿地的空间连通性和覆盖率与空气质量改善效果呈正相关关系。本研究的创新点在于提出了基于生态功能分区的绿地优化配置策略，并首次将污染物时空异质性纳入评估框架，为城市规划提供了科学依据。研究表明，合理设计和管理城市绿地系统可有效缓解空气污染问题，从而促进人居环境质量的整体提升。
关键词：城市绿地系统；空气质量改善；颗粒物去除；生态功能分区；污染物时空异质性
Abstract
Urban green space systems, as a critical component for enhancing urban ecological environments, have increasingly drawn attention for their role in regulating air quality. This study aims to improve urban air quality and optimize green space layouts by integrating remote sensing data, ground monitoring data, and geographic information system technologies to construct a multi-scale evaluation model. The model quantifies the removal effects of green space systems on particulate matter (PM2.5 and PM10) and gaseous pollutants (such as SO2, NO2, and O3). A typical urban area was selected as a case study to analyze the impact mechanisms of different green space types, structural characteristics, and spatial distributions on air quality, with dynamic simulation methods employed to predict improvement potentials under future scenarios. Results indicate that urban green spaces significantly contribute to the deposition and adsorption of particulate matter and absorb gaseous pollutants through photosynthesis, with the tree canopy layer demonstrating the most prominent contribution. Additionally, the spatial connectivity and coverage of green spaces are positively correlated with air quality improvement outcomes. The innovation of this study lies in proposing an optimization strategy for green space allocation based on ecological functional zoning and incorporating pollutant spatiotemporal heterogeneity into the assessment fr amework for the first time, providing scientific support for urban planning. The findings suggest that well-designed and managed urban green space systems can effectively mitigate air pollution issues, thereby promoting overall improvements in living environment quality.
Keywords：Urban Green Space System; Air Quality Improvement; Particulate Matter Removal; Ecological Function Zoning; Pollutant Spatiotemporal Heterogeneity
目 录
摘要 I
Abstract II
一、绪论 1
(一) 城市绿地与空气质量改善的研究背景 1
(二) 国内外研究现状与进展 1
(三) 研究方法与技术路线 2
二、城市绿地系统对空气污染物的吸收机制 2
(一) 主要空气污染物及其来源分析 2
(二) 绿地植物对污染物的吸收原理 3
(三) 不同类型绿地的净化能力对比 3
(四) 影响吸收效率的关键因素 4
三、城市绿地系统对空气质量改善的实际效果评估 4
(一) 数据采集与监测方法设计 4
(二) 典型城市绿地案例分析 5
(三) 空气质量改善效果的量化评估 5
(四) 评估结果的不确定性分析 6
四、城市绿地系统优化策略与政策建议 6
(一) 提高绿地系统净化效能的设计原则 6
(二) 不同区域绿地布局的优化方案 7
(三) 政策支持与公众参与的重要性 7
(四) 长期管理与维护的实施路径 8
结 论 9
参考文献 10
