Occurrence of rainfall-induced landslides is increasing worldwide, owing to land use and climate changes. Although the connection between hydrology and rainfall-induced landslides might seem obvious, hydrological processes have been only marginally considered in landslide research for decades. In 2016, an advanced review paper published in WIREs Water [Bogaard and Greco (2016), WIREs Water, 3(3), 439–459] pointed out several challenging issues for landslide hydrology research: considering large-scale hydrological processes in the assessment of slope water balance; including antecedent hydrological information in landslide hazard assessment; understanding and quantifying the feedbacks between deformation and infiltration/drainage processes; overcoming the conceptual mismatch of soil mechanics models and hydrological models. While little progress has been made on the latter two issues, a variety of studies have been published, focusing on the role of hydrological processes in landslide initiation and prediction. The importance of the identification of the origin of water to understand the processes leading to landslide activation is largely acknowledged. Techniques and methodologies for the definition of landslide catchments and for the assessment of landslide water balance are progressing fast, often considering the hydraulic effect of vegetation. The use of hydrological information in landslide prediction models has also progressed enormously. Empirical predictive tools, to be implemented in early warning systems for shallow landslides, benefit from the inclusion of antecedent soil moisture, extracted from different sources depending on the scale of the prediction, leading to significant improvement of their predictive skill. However, this kind of information is generally still missing in operational LEWS.

中文翻译：

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滑坡水文学最新进展

由于土地利用和气候变化，全球范围内降雨引起的山体滑坡的发生率正在增加。尽管水文与降雨引起的滑坡之间的联系似乎很明显，但几十年来滑坡研究中只很少考虑水文过程。2016年，WIREs Water发表的一篇高级评论论文[Bogaard and Greco (2016), WIREs Water , 3(3), 439–459]指出了滑坡水文研究的几个具有挑战性的问题：在评估中考虑大规模水文过程坡度水平衡；将前期水文信息纳入滑坡灾害评估；了解并量化变形和渗透/排水过程之间的反馈；克服土壤力学模型和水文模型概念上的不匹配。虽然在后两个问题上进展甚微，但已经发表了各种研究，重点关注水文过程在滑坡引发和预测中的作用。人们普遍认识到识别水源对于了解导致滑坡活化过程的重要性。用于定义滑坡流域和评估滑坡水平衡的技术和方法正在快速发展，通常考虑植被的水力效应。水文信息在滑坡预测模型中的应用也取得了巨大进展。将在浅层滑坡预警系统中实施的经验预测工具受益于包含根据预测规模从不同来源提取的先前土壤湿度，从而显着提高其预测技能。然而，在实际运行的 LEWS 中，此类信息通常仍然缺失。