Andrea Citrini, Adriana Bruggeman, Ioannis Sofokleous, George Zittis, Georgia Lazoglou, Giovanni P. Beretta, Corrado A. S. Camera
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引用次数: 0
摘要
气候变化对山区的影响越来越大,强调需要可靠的流量预测来支持适应性水电管理。本研究以意大利北部的瓦尔格罗西纳河谷为研究对象,有两个主要目标:(i)预测四种全球变暖水平(与工业化前相比,+1.5°C、+2.0°C、+3.0°C和+ 4.0°C)对河流流量的影响,并评估其对总水电潜力(GHP)的影响;(ii)比较两种偏差校正方法——年度和月度分位数三角洲映射(分别为QDM-y和QDM-mo)在水文预测上的表现。利用2005-2020年参考期的观测数据,对21个区域气候模式(约12.5 km2分辨率)的日降水和温度时间序列进行了偏差校正和缩小,然后用于驱动显示相对于参考期明显年际变化的参考和未来模拟。在最严重的变暖情景(+4.0°C)下,预计冬季流量将增加约+0.5 m3 s - 1(约+300%),而夏季流量将减少约- 0.7 m3 s - 1(- 19%至- 20.5%),表明径流存在强烈的季节性再分配。相应地,GHP表明夏季能源生产的潜在下降高达20%。与QDM-y相比,QDM-mo偏倚校正方法在保持年内变率方面表现更好,降水和温度的偏倚分别比观测序列小14%和3%。这些结果强调了水电系统对未来气候变化的脆弱性,并强调需要制定适应性战略,以确保在高山环境中可持续地利用水和能源。
Streamflow Projections in Valgrosina Valley: Climate Change Calls for Adaptation in the Alpine Region
Climate change is increasingly impacting mountainous regions, emphasising the need for reliable streamflow projections to support adaptive hydropower management. This study focuses on the Valgrosina Valley (Northern Italy) with two main objectives: (i) to project impacts on streamflow under four global warming levels (+1.5°C, +2.0°C, +3.0°C, and + 4.0°C relative to pre-industrial conditions) and to evaluate their effects on gross hydropower potential (GHP); and (ii) to compare the performance of two bias-correction approaches—yearly vs. monthly quantile delta mapping (QDM-y and QDM-mo, respectively)—on hydrological projections. Daily precipitation and temperature timeseries from 21 regional climate models (approximately 12.5 km2 resolution) were bias-corrected and downscaled using observed data from the 2005–2020 reference period and then used to drive reference and future simulations that reveal pronounced intra-annual shifts relative to the reference period. Under the most severe warming scenario (+4.0°C), winter flows are projected to increase by approximately +0.5 m3 s−1 (around +300%), while summer flows decline by about −0.7 m3 s−1 (−19% to −20.5%), indicating a strong seasonal redistribution of runoff. Correspondingly, the GHP indicated a summer potential decline of up to 20% in energy production. The QDM-mo bias correction approach performed better than QDM-y in preserving intra-annual variability with 14% and 3% less bias than the observed series for precipitation and temperature, respectively. The results underline the vulnerability of hydropower systems to future climatic changes and emphasise the need for adaptive strategies to ensure sustainable use of water and energy in Alpine environments.
期刊介绍:
Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.