Determination of climate change impacts on Mediterranean streamflows: a case study of Edremit Eybek Creek, Türkiye

Ayşenur Iltas, Mesut Demircan, Erkan Gokdag, Hakan Aksu
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Abstract

The growing population contributes to an increase in greenhouse gases and affects environment in a negative manner. To determine and predict the impact of climate change on hydrological processes, and to examine the status of our current/future water resources, hydrological modeling is of great importance and various models are utilized in this regard. In this study, the hydrological impact of climate change on a river in Türkiye, located in the Mediterranean Basin, has been revealed using a hydrological model, Hydrologiska Byråns Vattenbalansavdelning (HBV). Precipitation, temperature, and streamflow data from 1979 to 2021 were used for model calibration, validation, and warming processes, and model performance was assessed using the Nash–Sutcliffe efficiency (NSE) coefficient criterion. The established model's NSE performance has been determined as 0.66 for calibration and 0.69 for validation. The hydrological model was run with climate projection data (representative concentration pathways (RCP4.5 and RCP8.5)) to predict streamflows for the projection period (2023–2092). The evaluations conducted using the hydrological model for the period between 2023 and 2092 under the RCP8.5 scenario indicate a statistically significant decreasing trend of streamflows due to climate change. However, for RCP4.5, no trend was detected in streamflows for the projection period. From a seasonal perspective, while the greatest decrease in trends is expected to occur in autumn according to the RCP 8.5 scenario, all seasons are anticipated to exhibit significant decreasing.
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确定气候变化对地中海溪流的影响:对土耳其 Edremit Eybek 溪的案例研究
人口增长导致温室气体增加,对环境造成负面影响。为了确定和预测气候变化对水文过程的影响,并研究我们当前/未来的水资源状况,水文建模非常重要,在这方面使用了各种模型。本研究利用水文模型 Hydrologiska Byråns Vattenbalansavdelning (HBV) 揭示了气候变化对地中海盆地图尔基耶一条河流的水文影响。1979 年至 2021 年的降水、温度和流量数据被用于模型校准、验证和变暖过程,模型性能则采用纳什-苏特克里夫效率(NSE)系数标准进行评估。已建立模型的 NSE 性能在校准时为 0.66,在验证时为 0.69。水文模型与气候预测数据(代表性浓度路径(RCP4.5 和 RCP8.5))一起运行,以预测预测期(2023-2092 年)的溪流。在 RCP8.5 情景下,使用水文模型对 2023 年至 2092 年期间进行的评估表明,气候变化导致的河水流量下降趋势具有统计学意义。然而,在 RCP4.5 情景下,预测期内的河水流量未发现任何趋势。从季节角度来看,虽然根据 RCP8.5 情景,预计秋季的趋势下降幅度最大,但预计所有季节都会出现显著下降。
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