气候变化背景下的赫伦河水温变化研究

Veronika Bačová Mitková, P. Pekárová, D. Halmová
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引用次数: 0

摘要

水温是水质的理化指标之一,对地表水的生物过程起着至关重要的影响。在气候变化的背景下,溪流中的水温也发生了变化。本文分析了1962-2020年赫龙河两个监测站(bansk Bystrica和Brehy)的长期水温资料。这项分析是通过一系列的水温测量来进行的。研究的目的是检测水温的时间序列是否有显著的变化趋势。本文第一部分进行了月、年水温的趋势分析。下一节重点介绍1、3、7天最高水温的测定、调查和评价。气温上升对水温的影响对保护水资源和确保水质至关重要。在研究的最后一部分,利用空气温度对两个测量站的月水温进行了模拟。Hron在B. Bystrica的最佳回归量为SARIMA(1,0,0)x(0,1,1) 12 + 1回归量模型,而Hron在Brehy的最佳回归量为SARIMA(1,0,0)x(1,0,2) 12 + 2回归量模型,B. Bystrica和Brehy的相关系数分别为0.983和0.985。结果表明,气温每升高1℃,bansk Bystrica的水温升高0.35℃,Brehy的水温升高0.57℃;气温每升高3℃,bansk Bystrica的水温升高1.05℃,Brehy的水温升高1.75℃。研究得出结论,SARIMA模型可以
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of water temperature changes in the Hron River in the context of expected climate change
The water temperature is one of the physico – chemical indicator of water quality that plays a crucial role in affecting the biological processes in surface water. In the context of the climate changes, there are also changes in the temperature of the water in the streams. The paper presents an analysis of long-term data of the water temperature in the Hron River at two selected gauging stations: Banská Bystrica and Brehy, during the period of 1962–2020. The analysis was conducted using a long series of water temperature measurements. The aim of the study is to detect whether significant trends occur in the time series of water temperature. The first part of the paper dealt with the trend analyses of monthly and annual water temperature. The following section is focused on determination, investigation and evaluation of 1, 3-, 7-day maximum water temperatures. The impact of rising air temperatures on water temperature is critical for protecting water resources and ensuring water quality. In the last part of the study, the monthly water temperature of the Hron River at two gauging stations was modeled using air temperature. The best for Hron at B. Bystrica was the model: SARIMA(1,0,0)x(0,1,1) 12 + 1 regressor, and for Hron at Brehy the best was the model: SARIMA(1,0,0)x(1,0,2) 12 + 2 regressors, with a high correlation coefficient of 0.983 at B. Bystrica and 0.985 at Brehy. Results showed that a 1°C increase in air temperature caused the water temperature to rise by 0.35°C at Banská Bystrica and 0.57°C at Brehy, while a 3°C increase resulted in a rise of 1.05°C at Banská Bystrica and 1.75°C at Brehy. The study concludes that the SARIMA model can
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