区域水循环变化及其对社会的影响

F. H. Lambert, R. P. Allan, A. Behrangi, M. P. Byrne, P. Ceppi, R. Chadwick, P. J. Durack, G. Fosser, H. J. Fowler, P. Greve, T. Lee, H. Mutton, P. A. O'Gorman, J. M. Osborne, A. G. Pendergrass, J. T. Reager, P. Stier, A. L. S. Swann, A. Todd, S. M. Vicente‐Serrano, G. L. Stephens
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引用次数: 0

摘要

“蓝水”的变化,即陆地上可供人类提取的淡水的总供应量,与径流或相当于降水减去蒸发的变化密切相关。本文探讨了气候变化驱动的近期、过去和未来区域水循环变化如何与蓝水可用性和人类蓝水需求变化相关。虽然在最大尺度上,理论和数值模式的预测与观测大体一致,但在大陆及以下尺度上,模式预测的可能未来和径流的范围很大,特别是在单个河流集水区的尺度上,以及在较短时间尺度上的亚季节性洪水和干旱。然而,预计洪水的发生和严重程度将会增加,干旱的发生和严重程度可能会增加,而人类驱动的非气候变化,如土地利用、大坝蓄水、灌溉和地下水开采的变化,可能会加剧这种变化。当前的评估预测,鉴于对未来的预测,21世纪许多人口密集地区人类取水量的增加不太可能是可持续的。为了减少未来预测的不确定性,迫切需要改进对大气、陆地表面和人类过程以及这些成分如何耦合的模拟。为此应维持观测网并扩大它,以改进对陆地表面、海洋和大气变量的测量。这包括发展几十年稳定的卫星观测,适合建立适合模式评估的再分析数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changes in the Regional Water Cycle and Their Impact on Societies
Changes in “blue water”, which is the total supply of fresh water available for human extraction over land, are quite closely related to changes in runoff or equivalently precipitation minus evaporation, . This article examines how climate change‐driven recent past and future changes in the regional water cycle relate to blue water availability and changes in human blue water demand. Although at the largest scales theoretical and numerical model predictions are in broad agreement with observations, at continental scales and below models predict large ranges of possible future and runoff especially at the scale of individual river catchments and for shorter timescale subseasonal floods and droughts. Nevertheless, it is expected that the occurrence and severity of floods will increase and that of droughts may increase, possibly compounded by human‐driven non‐climatic changes such as changes in land use, dam water impoundment, irrigation and extraction of groundwater. Contemporary assessments predict that increases in 21st century human water extraction in many highly‐populated regions are unlikely to be sustainable given projections of future . To reduce uncertainty in future predictions, there is an urgent need to improve modeling of atmospheric, land surface and human processes and how these components are coupled. This should be supported by maintaining the observing network and expanding it to improve measurements of land surface, oceanic and atmospheric variables. This includes the development of satellite observations stable over multiple decades and suitable for building reanalysis datasets appropriate for model evaluation.
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