Evaluating heat health risk in Indian cities: Geospatial and socio-ecological analysis

Kaushik Mandvikar , Nirmal Kumar , Hitesh Supe , Deepak Singh , Ankita Gupta , Pankaj Kumar , Gowhar Meraj , Inam Danish Khan , Asma Kouser , Santosh Kumar Pandey , Ram Avtar
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Abstract

India is home to 11 % of the global urban population and is ranks as the second-largest urban system in the world. This study introduces a Heat Health Risk Index (HHRI) rankings for 37 major Indian cities with more than one million residents, using geospatial and socio-ecological data to identify potential heat health risk areas. In this study, the Otsu method was employed to determine the critical parameters in the heat health index, considering factors such as Land Surface Temperature (LST), solar radiation, population density, mean temperature, urban green cover, rainfall, specific humidity, and wind speed. All data values were standardized to a uniform scale (0–1) for comparability. The standardized values, integrated with the assigned weights, formed the HHRI. Results indicate that cities such as Chennai, Mumbai, Kolkata, and Ahmedabad, each with populations exceeding 10 million, are deemed less livable due to their high HHRI (>0.50). Both Chennai and Mumbai stand out with highest hazard index as 0.66, followed by Kolkata (0.62) and Ahmedabad (0.56). Cities that lack sufficient green spaces are often more vulnerable, display elevated risk levels, and have decreased adaptability. In contrast, cities such as Ludhiana, Theni, Amritsar, and Nabarangpur are perceived as the most livable, with a mean HHRI of 0.21, owing to their higher adaptive capacity and lower exposure. Overall, this study serves as a foundation for conceiving future perspective plans for existing urban and peri‑urban areas, compared to living standards within the realms of sustainability.

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评估印度城市的高温健康风险:地理空间和社会生态分析
印度的城市人口占全球总人口的 11%,是世界第二大城市体系。本研究利用地理空间和社会生态数据,对印度 37 个居民人数超过 100 万的主要城市进行了热健康风险指数(HHRI)排名,以确定潜在的热健康风险区域。本研究采用大津法确定热健康指数的关键参数,考虑的因素包括地表温度(LST)、太阳辐射、人口密度、平均温度、城市绿化覆盖率、降雨量、比湿度和风速。为便于比较,所有数据值均标准化为统一的刻度(0-1)。标准化值与指定权重相结合,形成了人类健康和幸福指数。结果表明,钦奈、孟买、加尔各答和艾哈迈达巴德等人口超过 1000 万的城市因其较高的 HHRI(0.50)而被认为不太宜居。钦奈和孟买的危险指数最高,均为 0.66,其次是加尔各答(0.62)和艾哈迈达巴德(0.56)。缺乏足够绿地的城市往往更加脆弱,风险水平更高,适应能力更差。相比之下,卢迪亚纳、特尼、阿姆利则和纳巴兰普尔等城市被认为是最宜居的城市,其平均 HHRI 为 0.21,这是因为这些城市的适应能力较强,面临的风险较低。总之,这项研究为构想现有城市和城郊地区的未来远景规划奠定了基础,并与可持续发展范围内的生活标准进行了比较。
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