通过应用于合成数据的机器学习分析,了解坡地土壤对降水响应的水文控制

IF 5.7 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Daniel Camilo Roman Quintero, P. Marino, G. Santonastaso, Roberto Greco
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引用次数: 0

摘要

摘要降雨事件开始前的土壤和地下条件控制着斜坡的水文过程,影响着通过其边界的水交换。本研究旨在确定合适的监测变量,以预测斜坡土壤对降水的反应。本研究以亚平宁半岛南部(意大利)覆盖在岩溶基岩上的火成碎屑粗粒土层为例进行描述。对溪流水位记录、气象变量、土壤含水量和吸力的实地监测已进行了数年。为了丰富实地数据集,利用一个基于物理的模型和一个随机降雨模型生成了一个 1000 年的合成序列。机器学习技术用于解开变量之间的非线性因果关系。k-means 聚类技术用于识别土壤水分和地下水位方面季节性反复出现的斜坡条件,随机森林技术用于评估降雨开始时的条件如何控制土壤地幔的姿态,以保留大部分渗入的雨水。结果表明,降雨事件结束时仍储存在土壤表层的雨水比例受降雨开始前的土壤湿度和地下水位的控制,从而证明了有效排水过程的启动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data
Abstract. Soil and underground conditions prior to the initiation of rainfall events control the hydrological processes that occur in slopes, affecting the water exchange through their boundaries. The present study aims at identifying suitable variables to be monitored to predict the response of sloping soil to precipitation. The case of a pyroclastic coarse-grained soil mantle overlaying a karstic bedrock in the southern Apennines (Italy) is described. Field monitoring of stream level recordings, meteorological variables, and soil water content and suction has been carried out for a few years. To enrich the field dataset, a synthetic series of 1000 years has been generated with a physically based model coupled to a stochastic rainfall model. Machine learning techniques have been used to unwrap the non-linear cause–effect relationships linking the variables. The k-means clustering technique has been used for the identification of seasonally recurrent slope conditions in terms of soil moisture and groundwater level, and the random forest technique has been used to assess how the conditions at the onset of rainfall controlled the attitude of the soil mantle to retain much of the infiltrating rainwater. The results show that the response in terms of the fraction of rainwater remaining stored in the soil mantle at the end of rainfall events is controlled by soil moisture and groundwater level prior to the rainfall initiation, giving evidence of the activation of effective drainage processes.
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来源期刊
Hydrology and Earth System Sciences
Hydrology and Earth System Sciences 地学-地球科学综合
CiteScore
10.10
自引率
7.90%
发文量
273
审稿时长
15 months
期刊介绍: Hydrology and Earth System Sciences (HESS) is a not-for-profit international two-stage open-access journal for the publication of original research in hydrology. HESS encourages and supports fundamental and applied research that advances the understanding of hydrological systems, their role in providing water for ecosystems and society, and the role of the water cycle in the functioning of the Earth system. A multi-disciplinary approach is encouraged that broadens the hydrological perspective and the advancement of hydrological science through integration with other cognate sciences and cross-fertilization across disciplinary boundaries.
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