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土地覆盖动态对半干旱城市地表城市热岛变化的影响:以印度艾哈迈达巴德市为例,利用多传感器/数据源数据

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.

作者信息

Mohammad Pir, Goswami Ajanta, Bonafoni Stefania

机构信息

Department of Earth Sciences, IIT Roorkee, Uttarakhand 247667, India.

Department of Engineering, University of Perugia, via Duranti 93, 06125 Perugia, Italy.

出版信息

Sensors (Basel). 2019 Aug 26;19(17):3701. doi: 10.3390/s19173701.

Abstract

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.

摘要

本研究利用中分辨率成像光谱仪(MODIS)数据,对印度古吉拉特邦艾哈迈达巴德市2003年至2018年期间的地表温度(LST)和城市热岛效应(SUHI)进行了分析。研究分析了夏季和冬季白天及夜间的LST模式。艾哈迈达巴德是印度发展最快的大城市之一,具有半干旱气候特征。本研究聚焦于城乡地区增温或降温趋势导致的城市热岛效应变化,并通过多传感器/数据源数据进行定量解读。分析了历年的土地覆盖图、归一化植被指数、地表反照率、蒸散量、城市人口和地下水位,以评估它们对城市热岛效应变化的影响。此外,2018年夏季开展了实地测量活动,在多个农村和城市地点测量LST。夏季白天,农村地区的平均LST高于城市地区,导致平均城市热岛效应为负,这是干旱城市的典型特征,而冬季白天则出现轻微的正城市热岛效应(平均强度为0.4°C)。仅在夏季(1.8°C)和冬季夜间(3.2°C)发现明显的正城市热岛效应。负城市热岛效应强度是由于农村地区植被覆盖率低,在季风前夏季,农田占主导,土地表面变为裸地。实地测量活动也证实了农村地区的LST值高于城市地区,平均差值约为5°C。因此,农村LST对城市热岛效应偏差的影响明显,需要进行细致的生物物理解读。例如,在城市区域内,夏季白天城市热岛效应的年强度与蒸散量无关,而相应的夏季白天LST与蒸散量呈现显著负相关(-0.73)。此外,尽管多年来城市一直在发展,但城市区域一般并未显示热岛强度随时间增加,而是其空间范围有所扩大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe4b/6749296/34463e95c6e3/sensors-19-03701-g001.jpg

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