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Impact of rainfall spatial aggregation on the identification of debris flow occurrence thresholds

机译:降雨空间聚集对碎片流动发生阈值的影响

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The systematic underestimation observed in debris flow early warning thresholds has been associated with the use of sparse rain gauge networks to represent highly non-stationary rainfall fields. Remote sensing products permit concurrent estimates of debris-flow-triggering rainfall for areas poorly covered by rain gauges, but the impact of using coarse spatial resolutions to represent such rainfall fields is still to be assessed. This study uses fine-resolution radar data for ~ 100 debris flows in the eastern Italian Alps to (i) quantify the effect of spatial aggregation (1-20 km grid size) on the estimation of debris-flow-triggering rainfall and on the identification of early warning thresholds and (ii) compare thresholds derived from aggregated estimates and rain gauge networks of different densities. The impact of spatial aggregation is influenced by the spatial organization of rainfall and by its dependence on the severity of the triggering rainfall. Thresholds from aggregated estimates show 8-21 % variation in the parameters whereas 10-25 % systematic variation results from the use of rain gauge networks, even for densities as high as 1/10 km~(-2).
机译:泥石流预警阈值中观测到的系统性低估与使用稀疏雨量计网络来表示高度非平稳的降雨场有关。遥感产品允许同时估计在雨量计覆盖较差的地区引发泥石流的降雨量,但使用粗略的空间分辨率来表示此类降雨场的影响仍有待评估。本研究使用意大利东部阿尔卑斯山约100条泥石流的精细分辨率雷达数据,以(i)量化空间聚集(1-20 km网格大小)对泥石流触发降雨估计和早期预警阈值识别的影响,以及(ii)比较从聚集估计和不同密度雨量计网络得出的阈值。空间聚集的影响受降雨的空间组织及其对触发降雨严重程度的依赖性的影响。汇总估计的阈值显示参数变化8-21%,而系统变化10-25%是由于使用雨量计网络造成的,即使密度高达1/10 km-2。

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