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Diurnal water temperature dynamics in lowland rivers: A case study from Central Poland

机译:低地河流的水温日变化:以波兰中部为例

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The paper examines spatial and seasonal variations in diurnal water temperature dynamics in lowland rivers. Temperature data was obtained from digital temperature loggers located in nine sites across the Mazovian Lowland during the hydrological year 2016. On the basis of measurement data, mean, maximum, and minimum daily ranges were calculated in the monthly timescale, as well as the timing of extreme temperatures during the day. The results indicate that water temperature dynamics of lowland rivers have a clear seasonal pattern, with the highest variations of temperature in May and June and the lowest in January. Statistically significant differences were found in the daily temperature range between groups of the investigated sites; a higher diurnal temperature range was observed in sites draining a smaller catchment area, while larger rivers were generally more thermally stable in the daily timescale. There was also found an effect of anthropopressure on diurnal temperature dynamics in urbanized catchments, mainly due to impoundments and sewage inflows. Maximum water temperature in the studied sites usually occurred in the morning, from 06:00 to 10:00 CEST, while minimum temperature occurred in the late afternoon, from 14:00 to 18:00 CEST. Spatially, the timing of the maximum and minimum water temperatures during the day was similar in all of the investigated sites, with no statistically significant differences. However, cluster analysis indicated that in the summer half of the year the timing of the extreme temperatures was more varied between investigated sites. The results provide new insight into short-term river thermal behaviour and they are valuable in the context of game fisheries due to the significance of daily temperature variations in fish activity and feeding.
机译:本文研究了低地河流昼夜水温动态的空间和季节变化。温度数据是从2016年水文年期间位于Mazovian Lowland九个地点的数字温度记录仪获得的。根据测量数据,以月为单位计算月度平均时间,最大和最小日范围以及时间安排。白天的极端温度。结果表明,低地河流水温动态具有明显的季节性规律,5月和6月的温度变化最大,而1月最低。在各调查地点之间的每日温度范围内发现统计学上的显着差异;在流域面积较小的地方观测到较高的昼夜温度范围,而较大的河流通常在每天的时间范围内更热稳定。还发现人为压力对城市化集水区昼夜温度动态的影响,这主要是由于蓄水和污水流入造成的。研究地点的最高水温通常发生在美国东部时间早上06:00至10:00,而最低温度发生在下午晚些时候(东部时间14:00至18:00)。在空间上,在所有调查地点中,白天最高水温和最低水温的时机相似,无统计学差异。但是,聚类分析表明,在调查的地点之间,在夏季的一半,极端温度的发生时间有所不同。结果提供了短期河流热行为的新见解,并且由于在鱼类活动和摄食中每日温度变化的重要性,因此在野味渔业中它们是有价值的。

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