Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map
<p>Hydrologic events can be characterized as particular combinations of hydrological processes on a hillslope scale. To configure hydrological mechanisms, we analyzed a dataset using an unsupervised machine learning algorithm to cluster the hydrologic events based on the dissimilarity distance...
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Autores principales: | , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Copernicus Publications
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/228250bd9a774149bbc774b95ac6f523 |
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Sumario: | <p>Hydrologic events can be characterized as particular combinations of
hydrological processes on a hillslope scale. To configure hydrological
mechanisms, we analyzed a dataset using an unsupervised machine learning
algorithm to cluster the hydrologic events based on the dissimilarity
distances between the weighting components of a self-organizing map (SOM).
The time series of soil moisture was measured at 30 points (at 10 locations
with three different depths) for 356 rainfall events on a steep, forested
hillslope between 2007 and 2016. The soil moisture features for hydrologic
events can be effectively represented by the antecedent soil moisture, soil
moisture difference index, and standard deviation of the peak-to-peak time
between rainfall and soil moisture response. Five clusters were delineated
for hydrologically meaningful event classifications in the SOM
representation. The two-dimensional spatial weighting patterns in the SOM
provided more insights into the relationships between rainfall
characteristics, antecedent wetness, and soil moisture response at different
locations and depths. The distinction of the classified events could be
explained by several rainfall features and antecedent soil moisture
conditions that resulted in different patterns attributable to combinations
of hillslope hydrological processes, vertical flow, and lateral flow along
either surface or subsurface boundaries for the upslope and downslope areas.</p> |
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