National Institute of Technology Warangal, India.
National Institute of Technology Warangal, India.
Sci Total Environ. 2022 Feb 1;806(Pt 1):150424. doi: 10.1016/j.scitotenv.2021.150424. Epub 2021 Sep 20.
It is well understood that India is largely exposed to different climate extremes including floods, droughts, heat waves, among others. However, the exposure of co-occurrence of these events is still unknown. The present analysis, first study of its kind, provides the projected changeability of five different compound extremes under three different emission scenarios (SSP2-4.5, SSP3-7.0, and SSP5-8.5). These changes are combined with population projection under SSP2, SSP3, and SSP5 scenarios to examine the total exposure in terms of number of persons exposed during 2021-2060 (T1) and 2061-2100 (T2). Here, the outputs from thirteen GCMs are used under CMIP6 experiment. The findings from the study show that all the compound extremes are expected to increase in future under all the emission scenarios being greater in case of SSP5-8.5. The population exposure is highest (2.51- to 4.96-fold as compared to historical) under SSP3-7.0 scenario (2021-2100 i.e., T1 and T2) in case of coincident heat waves and droughts compound extreme. The total exposure in Central Northeast India is projected to be the highest while Hilly Regions are likely to have the lowest exposure in future. The increase in the exposure is mainly contributed from climate change, population growth and their interaction depending on different kinds of compound extremes. The findings would help in devising sustainable policy strategies to climate mitigation and adaptation.
人们深知印度在很大程度上面临着各种极端气候,包括洪水、干旱、热浪等。然而,这些事件同时发生的情况仍不得而知。本分析首次对此进行了研究,预测了在三种不同排放情景(SSP2-4.5、SSP3-7.0 和 SSP5-8.5)下五种不同复合极端事件的变化情况。这些变化与 SSP2、SSP3 和 SSP5 情景下的人口预测相结合,以考察在 2021-2060 年(T1)和 2061-2100 年(T2)期间暴露人数的总暴露情况。这里使用了 CMIP6 实验下的十三个 GCM 的输出。研究结果表明,在所有排放情景下,所有复合极端事件预计在未来都会增加,在 SSP5-8.5 情况下增加幅度更大。在同时发生热浪和干旱的复合极端情况下,SSP3-7.0 情景(即 T1 和 T2)下的人口暴露最高(与历史相比增加了 2.51 到 4.96 倍)。未来,印度中东北部的总暴露预计将是最高的,而丘陵地区的暴露可能最低。暴露的增加主要归因于气候变化、人口增长及其对不同类型的复合极端事件的相互作用。这些发现将有助于制定可持续的气候缓解和适应政策战略。