城市热岛识别及其与植被覆盖的关系——以斯里兰卡科伦坡和甘帕哈地区为例

FERNANDO GARRIDO
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引用次数: 2

摘要

全球变暖是当前所有生物都受到影响的重大环境问题。城市热岛是全球变暖的主要影响之一。城市热岛是指城市地区的温度高于周边农村地区或郊区的现象。城市气温的上升趋势影响着空气质量、水资源、生境行为和气候变化等诸多环境实体。与热岛热岛有关的最显著的事件是表面热性能的差异。许多国家在经济、健康、社会和环境影响等许多方面都经历了城市热岛的后果。因此,为了减轻热岛的这种影响,确定其背后的主要原因是非常重要的。本文基于Landsat 830m分辨率数据,分析了科伦坡、Gampaha地区的热岛指数及其与植被覆盖的关系。利用Arc GIS 10,通过美国地质调查局(USGS)指南中的几个方程,从Landsat热红外波段获得地表温度。将数字数(DN)值转换为大气顶(TOA)辐亮度,将TOA辐亮度转换为卫星亮度温度,最后计算考虑地表发射率的地表温度。利用红外和近红外波段植被指数反演植被覆盖度。结果表明,城市化地区地表温度高与植被覆盖少有直接关系。在科伦坡和甘帕哈地区,可以确定高温差异是导致城市热岛效应产生的原因。地表温度与植被覆盖度呈较强的线性负相关,相关系数值为-0.742。NDVI值小于0.1的面积为78.8 km2(含水体)。10.22am温度超过27℃的高温区面积为74.12 km2。温度25 ~ 27℃范围内的面积为464.95km2, NDVI值0.1 ~ 0.2范围内的面积为333.04 km2。NDVI值在0.3 ~ 0.4之间的区域为1471.1 km2,温度低于25℃的区域为1529 km2。由此可见,非植被区域的高温和植被区域的低温可以非常明显地表现出来。这可能是由于植被的生态功能,使地表温度从高蒸散发下降。植被区主要是用地表温度感测。因此,研究成果可以为西部省大都市项目等发展项目的决策者和规划者以及公众了解城市热岛效应和植被覆盖对减轻这种影响的重要性提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Urban Heat Islands &Its Relationship withVegetation Cover: A Case Study of Colombo & Gampaha Districts in Sri Lanka
Global Warming is a major environmental problem that all kind of organisms has been affected at present. Urban Heat Island (UHI) is one of primary impacts of Global Warming. UHI is a phenomenon that the temperature of urban area is higher than surrounding rural areas or suburban areas. This increasing trend of temperature in urban areas affects many environmental entities such as air quality, water resources, habitats behaviors and climate changes. The most remarkable incident that relate with UHI is the difference of thermal properties of the surfaces. Many countries experience the consequences of Urban Heat Islands in many aspects such as economic, health, social and environmental affects. Thus to mitigate such impacts of UHI, it is very important to identify the main reasons behind this. In this paper UHIs in Colombo, Gampaha Districts and the relationship between UHI and vegetation cover were analyzed based on Landsat 8, 30m resolution data. Land Surface Temperature was derived from Landsat thermal Infrared band through several equations of United State Geological Survay (USGS) guidelines using Arc GIS 10. Conversion of Digital Number (DN) values to Top of Atmosphere (TOA) Radiance, Conversion of TOA Radiance to Satellite Brightness temperature and final calculation of Land Surface Temperature considering land surface emissivity are the steps that had been done for the analysis. Vegetation cover was derived by using vegetation index with the Red and Near Infra Red bands. The result shows that the land high surface temperature directly relates with the urbanized regions where vegetation cover is very less. High temperature difference could be identified that cause to arise the urban heat island effects in Colombo & Gampaha districts. There is a strong linearly negative correlation with correlation coefficient value of -0.742 between land surface temperature and vegetation cover. 78.8 km2 (including water) of total area had been identified as NDVI value less than 0.1. And extent of high temperature area was 74.12 km2 where temperature more than 27oC at 10.22am. The area in temperature range of 25-27 was 464.95km2 and area in NDVI value range 0.1-0.2 was 333.04 km2. 1471.1 km2 was identified as NDVI value between 0.3-0.4 and the area at low temperature was 1529 km2where temperature less than 25oC. According to this results, high temperature at non-vegetated areas and low temperature at vegetated areas could be noted very clearly. This is probably due to the ecological function of vegetation that lay down the surface temperature from high evapotranspiration. Vegetated areas are mostly sensed with surface temperature.Thus research output can be useful for policy-makers and planners of development projects such as Western province Megapolis project as well as for general public to understand the urban heat island effects and importance of vegetation cover to mitigate such impacts.
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