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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >The Impact of the Land Cover Dynamics on Surface Urban Heat Island Variations in Semi-Arid Cities: A Case Study in Ahmedabad City India Using Multi-Sensor/Source Data
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The Impact of the Land Cover Dynamics on Surface Urban Heat Island Variations in Semi-Arid Cities: A Case Study in Ahmedabad City India Using Multi-Sensor/Source Data

机译：半干旱城市土地覆盖动态对城市地表热岛变化的影响：以多传感器/源数据为例的印度艾哈迈达巴德市案例研究

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This study examines the behavior of land surface temperature (LST) and surface urban heat island (SUHI) from MODIS data over Ahmedabad city, Gujarat state (India), from 2003 to 2018. Summer and winter LST patterns were analyzed, both daytime and nighttime. Ahmedabad, one of the fastest growing metropolitan cities in India, is characterized by a semi-arid climate. The investigation focuses on the SUHI variations due to warming or cooling trends of both urban and rural areas, providing quantitative interpretations by means of multi-sensor/source data. Land cover maps, normalized differential vegetation index, surface albedo, evapotranspiration, urban population, and groundwater level were analyzed across the years to assess their impact on SUHI variations. Moreover, a field campaign was carried out in summer 2018 to measure LST in several rural and urban sites. During summer daytime, the rural zone exhibits a higher average LST than the urban area, resulting in a mean negative SUHI, typical of arid cities, while a slight positive SUHI (mean intensity of 0.4 °C) during winter daytime is present. An evident positive SUHI is found only during summer (1.8 °C) and winter nighttime (3.2 °C). The negative SUHI intensity is due to the low vegetation presence in the rural area, dominated by croplands turning into bare land surfaces during the pre-monsoon summer season. Higher LST values in the rural area than in the urban area are also confirmed by the field campaign, with an average difference of about 5 °C. Therefore, the impact of the rural LST in biasing the SUHI is evident, and a careful biophysical interpretation is needed. For instance, within the urban area, the yearly intensity of the summer daytime SUHI is not correlated with the evapotranspiration, while the correspondent summer daytime LST exhibits a significant negative correlation (−0.73) with evapotranspiration. Furthermore, despite the city growth across the years, the urban area does not generally reveal a temporal increase of the magnitude of the heat island but an enlargement of its spatial footprint.
机译：本研究从印度古吉拉特邦艾哈迈达巴德市（印度）2003年至2018年的MODIS数据研究了地表温度（LST）和地表城市热岛（SUHI）的行为。分析了夏季和冬季的LST模式，包括白天和晚上。艾哈迈达巴德（Ahmedab​​ad）是印度发展最快的都会城市之一，其特点是半干旱气候。调查主要关注由于城市和农村地区变暖或降温趋势导致的SUHI变化，并通过多传感器/源数据提供定量解释。多年来对土地覆盖图，归一化植被指数，地表反照率，蒸散量，城市人口和地下水位进行了分析，以评估其对SUHI变化的影响。此外，于2018年夏季开展了一场野外运动，以测量多个城乡站点的LST。在夏季，农村地区的平均LST比城市地区高，导致SUHI的平均值为负，这是干旱城市的典型表现，而在冬季，SUHI的平均值为0.4°C，略为正。仅在夏季（1.8°C）和冬季夜间（3.2°C）发现明显的SUHI阳性。 SUHI强度为负值是由于农村地区的植被稀少，在季风前的夏季，农田变成了裸露的土地。野外调查也证实，农村地区的LST值高于城市地区，其平均差约为5°C。因此，农村LST在偏向SUHI方面的影响是显而易见的，因此需要仔细的生物物理解释。例如，在市区内，夏季白天SUHI的年强度与蒸散量不相关，而相应的夏季白天LST与蒸散量呈显着负相关（-0.73）。此外，尽管这些年来城市在增长，但城市地区通常并没有显示出热岛的大小随时间增加，而是其空间足迹有所增加。

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