使用地理空间技术的印度班加罗尔城市热岛和污染物相关性

Solar Compass Pub Date : 2025-01-28 DOI:10.1016/j.solcom.2025.100108

Aneesh Mathew, K.S. Arunab

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引用次数: 0

摘要

城市热岛效应与城市空气污染之间的相互作用对城市生态、气候动态和居民福祉具有重要影响。本研究探讨了2019年至2022年期间班加罗尔城市热岛效应与各种污染物（CO、HCHO、气溶胶、NO2、O3和SO2）之间的相关性，探讨了它们的空间和热联系。该研究利用了来自TROPOMI的卫星遥感数据来获取空气污染物（CO、NO₂、HCHO、SO₂、O₃和气溶胶），并利用MODIS数据来获取地表温度（LST）。收集了四年（2019-2022年）的数据，分析了班加罗尔污染物的时空分布和城市热岛效应，并采用Pearson相关、独立t检验和方差分析等统计方法评估了城市热岛指标与污染物浓度之间的关系。采用模糊层次分析法建立了加权城市污染岛指数（UPI），并通过空间分析技术实现了热分类。研究表明，与农村地区相比，城市地区的污染水平明显升高。研究表明，城市热岛指数与城乡环境CO、HCHO、气溶胶、NO2、O3呈正相关。在这些情况下，在热岛指数和二氧化硫之间观察到负相关，需要对热岛指数污染物关系进行彻底的调查。高风险区NO2（66.614%）、气溶胶（13.610%）、HCHO（8.816%）和CO（2.028%）的年平均浓度显著高于低风险区（LRZs）。臭氧水平在高隔离区和低隔离区之间始终相似。相比之下，低污染地区SO2的年平均浓度高于高污染地区（7.562%）。此外，HRZs的地表温度比LRZs高2.198°C。这些结果为城市规划和政策制定提供了重要的见解，提供了对城市热岛污染动态的全面理解。这项研究阐明了这些动态，有助于做出明智的决策，以减轻城市环境中城市热岛和污染的影响。

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Urban heat island and pollutant correlations in Bangalore, India using geospatial techniques

The interaction between urban heat island (UHI) effects and urban air pollution significantly impacts urban ecology, climate dynamics, and inhabitants' well-being. This study examines into the correlation between UHI effects and various pollutants (CO, HCHO, aerosols, NO₂, O₃, and SO₂) across Bangalore from 2019 to 2022, exploring their spatial and thermal connections. The study utilized satellite remote sensing data from TROPOMI for air pollutants (CO, NO₂, HCHO, SO₂, O₃, and aerosols) and MODIS for land surface temperature (LST). Data were collected over a four-year period (2019–2022) to analyze spatial and temporal pollutant distributions and UHI effects in Bangalore and employed statistical methods, including Pearson correlation, independent t-tests, and ANOVA, to assess the relationships between UHI indicators and pollutant concentrations. A weighted Urban Pollution Island (UPI) index was developed using Fuzzy AHP, while thermal categorization was achieved through spatial analysis techniques. Research indicates significantly elevated pollution levels in urban areas compared to rural regions. The research demonstrates positive correlation between UHI indicators and CO, HCHO, aerosols, NO₂, and O₃ in urban-rural environments. A negative correlation is observed between the UHI indicator and SO₂ in these contexts, requiring a thorough investigation of the UHI-pollutant relationship. High-risk zones (HRZs) demonstrate significantly elevated yearly average concentrations of NO₂ (66.614%), aerosols (13.610%), HCHO (8.816%), and CO (2.028%) relative to low-risk zones (LRZs). Ozone levels are consistently similar between HRZs and LRZs. In contrast, LRZs demonstrate a greater yearly average concentration of SO₂ (7.562%) than HRZs. Furthermore, HRZs exhibit an elevated LST of 2.198 °C relative to LRZs. These results yield essential insights for urban planning and policy development, providing a thorough comprehension of UHI pollution dynamics. This research clarifies these dynamics, aiding informed decision-making to mitigate the effects of UHI and pollution in urban settings.

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Solar Compass

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