The role of citizen science in assessing the spatiotemporal pattern of rainfall events in urban areas: a case study in the city of Genoa, Italy

Nicola Loglisci, Giorgio Boni, A. Cauteruccio, F. Faccini, Massimo Milelli, G. Paliaga, Antonio Parodi
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Abstract

Abstract. Climate change in the Mediterranean region is manifesting itself as an increase in average air temperature and a change in the rainfall regime: the value of cumulative annual rainfall generally appears to be constant, but the intensity of annual rainfall maxima, between 1 and 24 h, is increasing, especially in the period between late summer and early autumn. The associated ground effects in urban areas consist of flash floods and pluvial floods, often in very small areas, depending on the physical-geographical layout of the region. In the context of global warming, it is therefore important to have an adequate monitoring network for rain events that are highly concentrated in space and time. This research analyses the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in the city of Genoa, Italy, just 4 d after the record maximum air temperature was recorded: between 19:00 and 02:00 UTC almost 400 mm of rainfall was recorded in the eastern sector of the historic centre of Genoa, with significant ground effects such as flooding episodes and the overflowing of pressurised culverts. Rainfall observations and estimates were made using both official or “authoritative” networks (rain gauges and meteorological radar) and rain gauge networks inspired by citizen science principles. The combined analysis of observations from authoritative and citizen science networks reveals, for the event analysed, a spatial variability of the precipitation field at an hourly and a sub-hourly timescale that cannot be captured by the current spatial density of the authoritative measurement stations (which have one of the highest densities in Italy). Monthly total rainfall and short-duration annual maximum time series recorded by the authoritative rain gauge network of the Genoa area are then analysed. The results show significant variation even at distances of less than 2 km in the average rainfall depth accumulated over sub-hourly duration. Extreme weather monitoring activity is confirmed as one of the most important aspects in terms of flood prevention and protection in urban areas. The integration between authoritative and citizen science networks can prove to be a valid contribution to the monitoring of extreme events.
公民科学在评估城市地区降雨事件时空模式中的作用:意大利热那亚市的案例研究
摘要地中海地区的气候变化表现为平均气温的升高和降雨机制的改变:年累积降雨量的数值总体上似乎保持不变,但年最大降雨量(1 至 24 小时)的强度却在增加,尤其是在夏末秋初这段时间。城市地区的相关地面效应包括山洪和冲积洪水,根据该地区的自然地理布局,这些洪水通常发生在很小的范围内。因此,在全球变暖的背景下,建立一个针对时空高度集中的降雨事件的适当监测网络非常重要。本研究分析了 2023 年 8 月 27 日和 28 日发生在意大利热那亚市的气象-水文特征,当时距创纪录的最高气温仅 4 天:在世界协调时 19:00 至 02:00 期间,热那亚历史中心东部地区降雨量近 400 毫米,造成了严重的地面影响,如洪水泛滥和加压涵洞溢流。降雨量的观测和估算是通过官方或 "权威 "网络(雨量计和气象雷达)以及受公民科学原则启发的雨量计网络进行的。对权威网络和公民科学网络的观测结果进行综合分析后发现,在所分析的事件中,降水场在每小时和每小时以下的时间尺度上存在空间变化,而目前权威测量站的空间密度(其密度在意大利是最高的)无法捕捉到这种空间变化。然后对热那亚地区权威雨量计网络记录的月总降雨量和短时年最大降雨量时间序列进行分析。结果表明,即使距离不到 2 公里,每小时积累的平均降雨深度也有很大差异。极端天气监测活动被证实是城市地区防洪和保护的最重要方面之一。事实证明,权威网络与公民科学网络之间的整合可为极端事件监测做出有效贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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