阿拉伯沙漠城市地表温度上升的决定因素的检验和建模:以沙特阿拉伯利雅得为例

IF 0.7 Q3 GEOGRAPHY
M. T. Rahman
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引用次数: 6

摘要

继20世纪70年代的石油繁荣之后,沙特阿拉伯王国首都利雅得经历了人口的快速增长和城市扩张[1],[2]。人口的快速增长影响了城市的环境和居民的社会经济条件,而城市住宅和商业基础设施以及交通网络的大规模建设导致空气污染加剧,城市洪水频率增加,地表温度(以下简称LST)上升,[3],[4],[5]。在沙漠环境中,LST的上升和城市热岛的形成将对健康状况产生巨大影响,尤其是对城市的儿童、老人和贫困居民[6]。自20世纪90年代以来,地理空间技术的快速发展使研究人员能够研究世界各地城市扩张对地表温度的变化和影响[7],[8],[9],[10],[11]。从遥感成像中获得的LST数据比从地面气象站收集的数据具有更好的准确性[12],[13]。Yuan和Bauer(2007)在2002年研究了不透水表面对明尼苏达州双城市LST季节变化的影响[14]。刘和张(2011)利用Landsat TM和ASTER数据研究了LST对香港城市热岛形成的影响[15]。王等人(2018)使用Landsat TM和ETM+数据来了解1985年至2009年间南京城市扩张对地表温度的影响[16]。对于阿克苏市(中国),使用了各种景观指标。沙特首都利雅得在过去40年中经历了人口快速增长和城市扩张。这种增长的一个主要后果是城市地表温度的上升。这项研究使用Landsat 7 ETM+传感器数据绘制了利雅得地表温度的分布图,然后检查并模拟了已知增加城市地表温度的五个因素的影响。影响因素是每个社区的面积/面积和人口密度,以及通过遥感指数NDBI、NDVI和NDBsI测量的不透水表面、植被和土壤/沙子的数量。使用Pearson乘积矩相关值、通径分析和多元回归分析对数据进行分析。结果表明,社区人口密度和NDBsI指数与LST呈正相关(r=0.68和r=0.60)。邻里面积与LST呈显著但低的正相关(r=0.33),NDBI和NDVI指数与LST呈正相关(r=-0.55和r=-0.64)。多元回归模型解释了LST总变化的77%。该模型可用于预测和模拟利雅得以及沙特王国和该地区其他城市未来的LST分布。定居点和城市主义研究中心
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia
Following the oil boom in the 1970s, Riyadh, the capital of the Kingdom of Saudi Arabia has experienced rapid population growth and urban expansions [1], [2]. Rapid population growth has affected the city’s environment, and the socio-economic conditions of its residents while massive construction of urban residential and business infrastructures and transportation networks has resulted in rising air pollution, increased frequency of flooding of the city, and rising of the land surface temperature (hereafter LST), [3], [4], [5]. In a desert environment, rising LST and the formation of urban heat island will have tremendous impacts on the health conditions especially in the case of the children, elderly, and the poor residents of the city [6]. The rapid development of geospatial technologies since the 1990s has allowed researchers to examine the changes and effects of urban expansion on LST in cities around the world [7], [8], [9], [10], [11]. LST data derived from remote sensing imageries have achieved better accuracy than those collected from ground-based weather stations [12], [13]. Yuan and Bauer (2007) examined the effect of the impervious surfaces on the seasonal variation of LST for the City of Twin Cities, Minnesota in 2002 [14]. Using Landsat TM and ASTER data, Liu and Zhang (2011) examined the influences of LST on the formation of urban heat islands for the city of Hong Kong [15]. Wang et al. (2018) used Landsat TM and ETM+ data to understand the impacts of urban expansion on LST in Nanjing City for the period between 1985 and 2009 [16]. For the city of Aksu (China), various landscape metrics were used to The Saudi capital city of Riyadh has experienced rapid population growth and urban expansion over the past 4 decades. One major consequence of such growth is the rising of the city’s land surface temperature (LST). This study used Landsat 7 ETM+ sensor data to map the distribution of Riyadh’s LST and then examined and modelled the impacts of five contributing factors known to increase urban LST. The contributing factors are size/area and population density of each neighbourhood, along with amounts of impervious surfaces, vegetations, and soil/sand measured through remote sensing indices NDBI, NDVI, and NDBsI. The data were analyzed using Pearson’s Product Moment Correlation values, Path Analysis, and Multiple Regression analysis. The result shows that neighbourhood population densities and NDBsI index have strong positive correlations (r= 0.68 and r= 0.60) with LST. Neighbourhood area showed significant but low positive correlation (r= 0.33) and the NDBI and NDVI indices showed strong negative correlations (r= -0.55 and r= -0.64) with the LST. The multiple regression model explained about 77% of the total variation in the LST. The model can be used to predict and simulate future LST distribution for Riyadh as well as other cities in the Kingdom and the region. Centre for Research on Settlements and Urbanism
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来源期刊
CiteScore
2.10
自引率
14.30%
发文量
16
期刊介绍: Journal of Settlements and Spatial Planning (JSSP) is a biannual, peer-reviewed, open access journal, edited by the Centre for Research on Settlements and Urbanism, Faculty of Geography, Babeş-Bolyai University, Cluj-Napoca, ROMANIA. For the unrestricted access to potential subscribers all over the world the journal is published in English language and can be accessed electronically. The Journal of Settlements and Spatial Planning addresses mainly to geographers, young researchers and also to other specialists in adjacent fields of research that focus their attention on aspects related to settlements and spatial planning. On the other hand, it strongly encourages representatives of the public administration, who are responsible with the practical implementation of planning projects, to bring their contribution to the scientific field. Our journal seeks to publish original theoretical and applied research studies on a large range of subjects addressed to urban and rural settlements and spatial planning, as well as precise issues related to both of them. We welcome scholars to bring their contribution (original articles in basic and applied research, case studies) and increase interdisciplinary research on settlements and their spatial impact.
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