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Monitoring snowbank processes and cornice fall avalanches with time-lapse photography

机译:通过定时摄影监控雪堆过程和檐口掉落的雪崩

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Time-lapse photography was employed to monitor a snowbank at 3640 m above sea level in the Uinta Mountains, Utah, USA. The snowbank forms against a 35-m high, east-facing escarpment and is nourished by wind redistribution of snow from an alpine plateau. The snowbank is capped by a large cornice, and its central core persists through the summer in most years. An automated, solar-powered digital camera was deployed between October 2016 and June 2017, and programmed to capture 5 photographs each day between 8:00 and 16:00, local time. Although cold temperatures affected the batteries during the winter, a total of 812 photographs were collected, for an overall average of 3.4 per day. These images were combined in an animation displaying the growth of the snowbank and associated cornice over the course of the winter. The debris fields resulting from nineteen cornice fall avalanches were noted in the sequence of photographs. Data collected at a nearby automated weather station reveal that 12 avalanches (between early December and early April) were preceded by significant increases in snow depth, snow water equivalent, and precipitation, with sustained windspeeds above the winter average. In contrast, six of the last seven events (between late April and early June) occurred in the absence of new snowfall, but were associated with rapid rises in temperature and notable decreases in snow water equivalent. The average interval between recorded avalanches is 10 days, with a maximum of 29 days and a minimum of 2 h. Recurrence intervals were shorter in December/January, in late March/ early April, and in late April/early May. Only one avalanche occurred in the 56 days between 27 January and 24 March. Time-lapse photography is a powerful tool for monitoring nival processes.
机译:在美国犹他州Uinta山,采用延时摄影技术来监测海拔3640 m的雪堆。积雪形成在一个35米高的,朝东的悬崖上,并受到来自高山高原的雪风的重新分配的滋养。雪堆被一个巨大的檐口盖住了,在大多数年中,雪堆的中央核心一直持续到整个夏天。在2016年10月至2017年6月之间部署了自动的太阳能数码相机,并编程为在当地时间每天8:00至16:00捕获5张照片。尽管在冬季寒冷的天气影响了电池,但总共收集了812张照片,每天平均总计3.4张。这些图像组合成动画,显示了整个冬季雪堆和相关檐口的生长情况。在照片序列中记录了由19个檐口掉落的雪崩引起的碎片场。在附近的一个自动气象站收集的数据显示,在12个雪崩(12月初至4月初之间)之前,雪深,雪水当量和降水量显着增加,持续风速高于冬季平均水平。相反,最近七个事件中的六个(在四月下旬至六月初之间)发生在没有新的降雪的情况下,但与温度的迅速升高和雪水当量的显着下降有关。记录的雪崩之间的平均间隔为10天,最多29天,最少2小时。复发间隔时间在12月/ 1月,3月下旬/ 4月初和4月下旬/ 5月初更短。在1月27日至3月24日的56天内,仅发生了一次雪崩。缩时摄影是监视nival过程的强大工具。

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