Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL088731 |
Deep Learning as a tool to forecast hydrologic response for landslide‐prone hillslopes | |
Elijah Orland; Joshua J. Roering; Matthew A. Thomas; Benjamin B. Mirus | |
2020-07-08 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2020 |
英文摘要 | Empirical thresholds for landslide warning systems have benefitted from the incorporation of soil‐hydrologic monitoring data, but the mechanistic basis for their predictive capabilities is limited. Although physically based hydrologic models can accurately simulate changes in soil moisture and pore pressure that promote landslides, their utility is restricted by high computational costs and nonunique parameterization issues. We construct a Deep Learning model using soil‐moisture, pore‐pressure, and rainfall monitoring data acquired from landslide‐prone hillslopes in Oregon, USA, to predict the timing and magnitude of hydrologic response at multiple soil depths for 36‐hour intervals. We find that observation records as short as six months are sufficient for accurate predictions, and our model captures hydrologic response for high‐intensity rainfall events even when those storm types are excluded from model training. We conclude that machine learning can provide an accurate, and computationally efficient alternative to empirical methods or physical modeling for landslide hazard warning. |
领域 | 气候变化 |
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/283328 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Elijah Orland,Joshua J. Roering,Matthew A. Thomas,等. Deep Learning as a tool to forecast hydrologic response for landslide‐prone hillslopes[J]. Geophysical Research Letters,2020. |
APA | Elijah Orland,Joshua J. Roering,Matthew A. Thomas,&Benjamin B. Mirus.(2020).Deep Learning as a tool to forecast hydrologic response for landslide‐prone hillslopes.Geophysical Research Letters. |
MLA | Elijah Orland,et al."Deep Learning as a tool to forecast hydrologic response for landslide‐prone hillslopes".Geophysical Research Letters (2020). |
条目包含的文件 | 条目无相关文件。 |
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