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Surface temperature pattern characterization and analysis: An investigation of urban effects on surface warming.

机译：地表温度模式表征与分析：城市对地表变暖影响的调查。

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摘要

During the process of worldwide urbanization along with high rise and high density housing development in large cities, urban warming has received growing concern among many environmental issues related to urban landscape change. Due to the complicated interplay between urban environment and local climate, it is far from certain about the urban effects on local warming. In this literature, a systematic monitoring and analysis of the spatial dependency and heterogeneity of urban thermal landscape at city scale remains inadequate. The goal of this doctoral research is to develop a research framework incorporating geospatial statistics, thermal infrared remote sensing and landscape ecology to study the urban effect on local surface thermal landscape regarding both the pattern and process.;Located in a subtropical region, Hong Kong's development with high rise and high density housing made it a suitable site for studying urban effect on local warming. This research chose Hong Kong as the case study which hopes to enrich our knowledge regarding urban local thermal performance and add to our understanding of urban microclimate in hot-humid weather area.;Contrasting the day-night variation in thermal landscape, the higher local variation and irregularity on urban surface temperature pattern during daytime was observed and identified by landscape metrics compared with those of nighttime pattern. The diversity and fragmentation metrics had revealed the influence of urban development on the overall urban landscape pattern. Along with urban development, daytime pattern of urban thermal landscape presented more fragmentation, less diversity and uneven texture distribution within daytime observations.;In summary, global regression analysis confirmed the relationship between environmental factors and surface temperature and gave a general overview of urban effect on local surface warming. The distinctive mechanism of dominating day-night surface warming was uncovered by regression analysis. Vegetation played the most important role which could be referred as surface cooling in average to local surface temperature variation as compared with other measures of local environment during both daytime and nighttime. Besides the dominant role of local solar radiation on surface warming, building square footage demonstrated the second important influence on local surface temperature elevation during daytime. During nighttime, population density played a dominant role on nighttime surface warming among different parameters, with the second important contribution of nighttime surface warming coming from road density. While elevation and distance from coast demonstrated obvious cooling effect on surface temperature within most nighttime models.;GWR analysis offered an in-depth investigation of local effect on surface temperature variation which had been proven to be spatially varying and influenced by local weather condition with local environmental setting quantified with the referred site specific environmental factors. The local dominant factor accounted for most to the site specific surface temperature variation which varied significantly in space and time and prevented a general delineation of the relative association among environmental factors to surface temperature disparities. The effective adaptive measures could be devised locally with reference to day-night needs in the identification of this feature.
机译：在全球城市化进程以及大城市中高层建筑和高密度住宅的发展过程中，城市变暖已引起与城市景观变化有关的许多环境问题的日益关注。由于城市环境与当地气候之间复杂的相互作用，因此对于城市对当地变暖的影响尚不确定。在这些文献中，对城市规模的城市热景观的空间依赖性和异质性进行系统的监测和分析仍然不够。这项博士研究的目的是建立一个结合地理空间统计，热红外遥感和景观生态学的研究框架，以研究城市对地表热景观的格局和过程的影响。；位于亚热带地区，香港的发展高层和高密度的住房使其成为研究城市对局部变暖影响的合适场所。本研究选择香港作为案例研究，以期丰富我们对城市局部热力性能的了解，并加深我们对湿热天气区城市小气候的认识。与白天相比，通过景观指标观察和识别白天白天城市表面温度格局的不规则性。多样性和碎片化指标揭示了城市发展对整体城市景观格局的影响。随着城市的发展，城市热景观的日间格局在日间观测中呈现出更多的碎片化，更少的多样性和不均匀的纹理分布。总之，全球回归分析证实了环境因素与地表温度之间的关系，并概述了城市对环境的影响。局部表面变暖。通过回归分析发现了主导昼夜升温的独特机制。与白天和晚上的其他局部环境测量相比，植被起着最重要的作用，即平均地表冷却至局部表面温度变化。除了局部太阳辐射在地表增温中起主要作用外，建筑面积还显示出白天对局部地表温度升高的第二个重要影响。在夜间，人口密度在夜间地表变暖之间的不同参数中起主导作用，而夜间地表变暖的第二重要贡献来自道路密度。在大多数夜间模型中，海拔和距海岸的距离均显示出对表面温度的明显降温效果。； GWR分析提供了对表面温度变化的局部影响的深入研究，事实证明，该变化是空间变化的，并受当地天气条件的影响。环境设置由参考站点特定的环境因素量化。局部主要因素占现场比表面温度变化的大部分，该比温度在空间和时间上显着变化，并且阻止了环境因素与表面温度差异之间的相对联系的普遍描述。在识别此功能时，可以参考日夜需求在本地设计有效的自适应措施。

著录项

  • 作者

    Xue, Yucai.;

  • 作者单位

    The Chinese University of Hong Kong (Hong Kong).;

  • 授予单位 The Chinese University of Hong Kong (Hong Kong).;
  • 学科 Biology Landscape Ecology.;Environmental Sciences.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 228 p.
  • 总页数 228
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:24

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