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地中海闪电强度的空间变异性与海水特性有关。

Spatial variability of lightning intensity over the Mediterranean sea correlates with seawater properties.

机构信息

Faculty of Marine Sciences, Ruppin Academic Center, Mikhmoret, Israel.

Porter School of the Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel.

出版信息

Sci Rep. 2023 Apr 10;13(1):5834. doi: 10.1038/s41598-023-33115-0.

Abstract

The divergence of total alkalinity (TA) from conservation with salinity (S) and relatively acidic conditions (pH) in surface seawater was suggested to explain the high prevalence of lightning superbolts in the Mediterranean sea, North sea and upwelling regions of the oceans. In this study we tested the combined effects of changes in S, TA and pH of Mediterranean sea surface water on the intensity of laboratory generated electrical sparks, which are considered to be analogous to cloud to sea-surface intensity of lightning discharges. The experimental results were used to develop a multivariate linear equation (MLE) of Lightning Flash Intensity (LFI) as a function of S, TA/S and pH. This relation was validated with wintertime (DJF) LFI measurements along a Mediterranean sea zonal profile during the period 2009-2020 compared to corresponding climate model outputs of S, TA and pH. Based on the resulting MLE, the combined effects of climate change, ocean acidification and the damming of the Nile, may have increased LFI in the Levantine Sea by 16 ± 14% until now relative to the pre-Aswan Dam period. Furthermore, assuming that salinization and acidification of the Levantine Sea will continue at current trends, the LFI is predicted to increase by 25 ± 13% by the year 2050.

摘要

总碱度(TA)与盐度(S)和相对酸性条件(pH)的背离被认为可以解释在地中海、北海和海洋上升流区域闪电超级风暴的高发率。在这项研究中,我们测试了地中海海水表面 S、TA 和 pH 的变化对实验室产生的电火花强度的综合影响,这些电火花被认为类似于云对地闪放电强度。实验结果用于开发闪电闪光强度(LFI)的多元线性方程(MLE),作为 S、TA/S 和 pH 的函数。该关系通过与 2009 年至 2020 年期间地中海纬向剖面的冬季(DJF)LFI 测量值进行了验证,同时还与 S、TA 和 pH 的相应气候模型输出值进行了比较。基于所得的 MLE,气候变化、海洋酸化和尼罗河大坝的综合影响可能导致目前相对于阿斯旺大坝前时期,在黎凡特海的 LFI 增加了 16±14%。此外,假设黎凡特海的盐度和酸化将继续保持当前的趋势,到 2050 年,LFI 预计将增加 25±13%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0996/10085976/8b1d9d569ac8/41598_2023_33115_Fig1_HTML.jpg

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