Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR028827 |
Soil moisture responses to rainfall: Implications for runoff generation | |
Nitin K. Singh; Ryan E. Emanuel; Brian L. McGlynn; Chelcy F. Miniat | |
2021-09-01 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Soil moisture is a key control on runoff generation and biogeochemical processes on hillslopes. Precipitation events can evoke different soil moisture responses with depth through the soil profile, and responses can differ among landscape positions along a hillslope. We sought to elucidate the nature of these responses by estimating changes in water content, response time between peak precipitation and peak soil moisture, and wetting front velocities for 43 storms at 45 locations on three adjacent hillslopes within a headwater catchment of the southern Appalachian Mountains (NC, USA). We used a multivariate modeling approach to quantify the relative influences and the predictability of soil moisture responses by a combination of landscape and storm characteristics. We quantified the lag-correlations between hillslope mean soil moisture and catchment runoff to demonstrate how storm properties and hillslope-scale characteristics may influence runoff at the catchment outlet. Soil moisture responses varied widely, and no consistent patterns were observed among response metrics laterally or vertically along hillslopes. In contrast to other studies, we found that the relative influence of hillslope properties and storm characteristics varied with soil moisture responses and during storms. Antecedent conditions and storm depths influenced the strength of lag-correlations between soil moisture and runoff, whereas storm mean intensity was correlated with the lag times. These results highlight the utility of intensive observations for characterizing heterogeneity in soil moisture responses, suggesting, among other things, a need for better representation of the subsurface processes in rainfall-runoff models. Identifying the relative importance of drivers can be beneficial in building parsimonious hydrological models. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/337556 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Nitin K. Singh,Ryan E. Emanuel,Brian L. McGlynn,et al. Soil moisture responses to rainfall: Implications for runoff generation[J]. Water Resources Research,2021. |
APA | Nitin K. Singh,Ryan E. Emanuel,Brian L. McGlynn,&Chelcy F. Miniat.(2021).Soil moisture responses to rainfall: Implications for runoff generation.Water Resources Research. |
MLA | Nitin K. Singh,et al."Soil moisture responses to rainfall: Implications for runoff generation".Water Resources Research (2021). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论