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Quantifying the Trends in Land Surface Temperature and Surface Urban Heat Island Intensity in Mediterranean Cities in View of Smart Urbanization

机译:鉴于智能城市化,量化地中海城市的地表温度和地表城市热岛强度趋势

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Land Surface Temperature (LST) is a key parameter for the estimation of urban fluxes as well as for the assessment of the presence and strength of the surface urban heat island (SUHI). In an urban environment, LST depends on the way the city has been planned and developed over time. To this end, the estimation of LST needs adequate spatial and temporal data at the urban scale, especially with respect to land cover/land use. The present study is divided in two parts: at first, satellite data from MODIS-Terra 8-day product (MOD11A2) were used for the analysis of an eighteen-year time series (2001a??2017) of the LST spatial and temporal distribution in five major cities of the Mediterranean during the summer months. LST trends were retrieved and assessed for their statistical significance. Secondly, LST values and trends for each city were examined in relation to land cover characteristics and patterns in order to define the contribution of urban development and planning on LST; this information is important for the drafting of smart urbanization policies and measures. Results revealed (a) positive LST trends in the urban areas especially during nighttime ranging from +0.412 ?°K in Marseille to +0.923 ?°K in Cairo and (b) the SUHI has intensified during the last eighteen years especially during daytime in European Mediterranean cities, such as Rome (+0.332 ?°K) and Barcelona (+0.307 ?°K).
机译:地表温度(LST)是估计城市通量以及评估表面城市热岛(SUHI)的存在和强度的关键参数。在城市环境中,LST取决于城市规划和发展的方式。为此,LST的估算需要在城市范围内提供足够的空间和时间数据,尤其是在土地覆盖/土地利用方面。本研究分为两个部分:首先,使用MODIS-Terra 8天产品(MOD11A2)的卫星数据分析LST时空分布的18年时间序列(2001a ?? 2017)。在夏季的五个主要城市。检索LST趋势并对其统计意义进行评估。其次,根据土地覆盖特征和模式检查了每个城市的LST值和趋势,以确定城市发展和规划对LST的贡献;这些信息对于起草智能城市化政策和措施非常重要。结果表明:(a)城市地区的LST呈积极趋势,特别是在夜间,从马赛的+0.412°K到开罗的+0.923°K,以及(b)SUHI在过去的18年中得到了加强,尤其是在欧洲的白天地中海城市,例如罗马(+0.332°K)和巴塞罗那(+0.307°K)。

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