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COVID-19 封锁导致印度特大城市群的地表温度变化。

COVID-19 lockdowns induced land surface temperature variability in mega urban agglomerations in India.

机构信息

School of Earth, Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar, Argul, Jatni, 752050, Odisha, India.

Department of Geography, University of Georgia, Athens, GA 30602, USA.

出版信息

Environ Sci Process Impacts. 2021 Feb 4;23(1):144-159. doi: 10.1039/d0em00358a.

Abstract

The COVID-19 pandemic forced a nationwide lockdown in India for months when close to 1.3 billion people were confined to their homes. An abrupt halt in the majority of the urban activities reduced the generation of anthropogenic heat which often exacerbates the Urban Heat Island (UHI) effect in the urban pockets of the country. We studied the lockdown impact on seven highly populated and polluted mega urban agglomerations across India, namely Delhi, Ahmedabad, Hyderabad, Kolkata, Mumbai, Bengaluru and Chennai, using near-anniversary Landsat 8 data. The results revealed that the lockdowns have improved the air quality and reduced the Land Surface Temperature (LST) and hence the UHI effect over these cities. Each of the cities experienced an improved Air Quality Index (AQI) ranging from 18 to 151 units except Chennai (with a marginal 8 units increase in AQI), a decrease in mean LST in the range of 0.27 °C to 7.06 °C except Kolkata which showed an increment by ∼4 °C, and a reduction in daily averaged air temperature ranging from 0.3 °C to 10.88 °C except Hyderabad which witnessed an increase of 0.09 °C during the lockdown (April 2020) compared to the previous years (April 2019 and 2018). Delhi exhibited the maximum positive impact of the lockdown in all aspects with two-fold improved air quality, and Ahmedabad showed the least improvement. In addition to the variations in regional land use and land cover and proportion of essential industries that remained operational throughout the lockdown, the geographic location, topography, local meteorology and climate were some of the other factors also responsible for either aiding or overcompensating the large scale LST variabilities observed in these cities. These results hint at an unprecedented opportunity to evaluate the effectiveness of periodic planned lockdowns as a possible mitigating measure to reduce LST spikes and degraded air quality in urban areas in the future.

摘要

新冠疫情迫使印度全国封锁数月,近 13 亿人被限制在家中。大部分城市活动的突然停止减少了人为热量的产生,而人为热量的产生通常会加剧该国城市地带的城市热岛(UHI)效应。我们使用临近周年的 Landsat 8 数据研究了封锁对印度七个人口众多且污染严重的大都市区的影响,这些大都市区分别是德里、艾哈迈达巴德、海德拉巴、加尔各答、孟买、班加罗尔和钦奈。结果表明,封锁措施改善了空气质量,降低了这些城市的地表温度(LST),从而减轻了城市热岛效应。除了钦奈(空气质量指数略有增加 8 个单位),每个城市的空气质量指数都有所改善,范围在 18 到 151 个单位之间;除了加尔各答,平均 LST 下降了 0.27°C 到 7.06°C,其余城市均有所下降;除了海德拉巴,日平均气温下降了 0.3°C 到 10.88°C,其余城市均有所下降,而海德拉巴在封锁期间(2020 年 4 月)比前几年(2019 年和 2018 年 4 月)上升了 0.09°C。在各个方面,德里都表现出了封锁的最大积极影响,空气质量提高了一倍,而艾哈迈达巴德的改善最小。除了区域土地利用和土地覆盖以及在整个封锁期间保持运营的必要产业的比例的变化外,地理位置、地形、当地气象和气候等其他因素也对这些城市的 LST 大范围变化起到了辅助或过度补偿的作用。这些结果表明,有机会评估定期计划封锁的有效性,作为减轻城市地区地表温度飙升和空气质量恶化的一种可能措施。

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