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苏格兰长期的日流水温度记录揭示了过去河流变暖的时空模式以及未来进一步变暖的趋势。

Long-term daily stream temperature record for Scotland reveals spatio-temporal patterns in warming of rivers in the past and further warming in the future.

机构信息

School of Geosciences (University of Aberdeen), Aberdeen, Scotland, UK; James Hutton Institute, Aberdeen, Scotland, UK.

James Hutton Institute, Aberdeen, Scotland, UK.

出版信息

Sci Total Environ. 2023 Sep 10;890:164194. doi: 10.1016/j.scitotenv.2023.164194. Epub 2023 May 16.

DOI:10.1016/j.scitotenv.2023.164194
PMID:37201803
Abstract

Stream temperature is directly and indirectly affected by climate change. To be able to project future changes in stream temperature, historic trends and factors influencing these trends need to be understood. There is a demand for daily data to analyse historical trends and future changes in stream temperature. However, long-term daily stream temperature data are rare and observations of coarse temporal resolution (e.g. once-a-month) do not allow for robust trend analyses. Here, we present a methodology to reconstruct a national long-term daily stream temperature record (1960-2080) from 40 years of once-a-month observations (for 45 Scottish catchments). This involved implementing climatic and hydrological variables in generalized additive models. These models were then used in combination with regional climate projections (UKCP18 Strand 3 - RCP8.5) to predict future spatio-temporal temperature patterns. The results indicate that for the Scottish dataset (i) in addition to air temperature, the dominant environmental controls on stream temperature are unique combinations for each catchment; (ii) a general increase of up to 0.06 °C/year in historic stream temperature over all catchments resulted mainly from increases in spring and summer stream temperatures; (iii) future spatial patterns in stream temperature are more homogenous and differ therefore from the past where temperatures in N Scotland were relatively lower; (iv) future changes of up to +4.0 °C in annual stream temperature are strongest in those catchments which show lower stream temperature in the past (NW and W Scotland). These results are important in the context of water quality and stream temperature management. The methodology can be applied to smaller scale sites or to other national/global datasets enabling the analysis of historic trends and future changes at a high temporal resolution.

摘要

水温直接或间接地受到气候变化的影响。为了能够预测未来水温的变化,需要了解历史趋势和影响这些趋势的因素。需要每天的数据来分析水温的历史趋势和未来变化。然而,长期的每日水温数据很少,而且时间分辨率较粗的观测(例如每月一次)不允许进行稳健的趋势分析。在这里,我们提出了一种从 40 年的每月一次观测中重建全国长期每日水温记录(1960-2080 年)的方法(适用于 45 个苏格兰流域)。这涉及到在广义加性模型中实施气候和水文变量。然后,这些模型与区域气候预测(英国气候预测 18 期第 3 卷-RCP8.5)结合使用,以预测未来的时空温度模式。结果表明,对于苏格兰数据集:(i)除了气温之外,对水温有主要影响的环境控制因素是每个流域特有的组合;(ii)所有流域的历史水温普遍上升了 0.06°C/年,主要是由于春、夏季水温的上升;(iii)未来水温的空间模式更加均匀,与过去不同,过去苏格兰北部的温度相对较低;(iv)在过去水温较低的流域,年度水温的变化最大可达+4.0°C(苏格兰西北部和西部)。这些结果在水质和水温管理方面非常重要。该方法可应用于较小的流域或其他国家/全球数据集,以便以较高的时间分辨率分析历史趋势和未来变化。

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