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Earth Science Informatics

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19.04.2023 | RESEARCH

Exploring watershed structural variation during watershed evolution process under artificial rainfall experiment

verfasst von: Siwei Lin, Nan Chen

Erschienen in: Earth Science Informatics | Ausgabe 2/2023

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Abstract

Spatio-temporal variations of watershed evolution, a process under rainfall erosion, soil erosion, and kinetic energy variation, are diverse, complex, and dynamic phenomena. In this study, a clear evolution process of the loess watershed under an artificial rainfall experiment was monitored with close-range photogrammetry. Via complex network theory, we constructed the watershed weighted complex network (WWCN) to simulate watershed spatial structures in nine evolution stages. On this basis, we fully analyzed and discussed the watershed structural variation during the watershed evolution process from the aspect of node, edges, polygon, and overall spatial structure. The quantitative indexes showed a regular variation following the loess watershed evolution, with a drastic trend in the early and active evolution stages, whilst a slow trend in the stable evolution stages. From the perspective of watershed spatial structure, fresh insights into the watershed structure (such as the closeness, community effect, connectivity, stability, and stability of the watershed network) are introduced to comprehensively explain the watershed evolution process. Besides, we found watershed structural indexes are closely related to the typical terrain indexes, which may suggest that watershed structures have responses to characteristics of watershed morphologies during the watershed evolution process. This study is beneficial to deepen further understanding of the formation genesis and variation laws of the watershed evolution process as well as present a potential method for landform quantitative analysis.

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Titel: Exploring watershed structural variation during watershed evolution process under artificial rainfall experiment
verfasst von: Siwei Lin
Nan Chen
Publikationsdatum: 19.04.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 2/2023
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-023-01000-z

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