Modeling the impacts of fully-filled check dams on flood processes using CAESAR-lisflood model in the Shejiagou catchment of the Loess Plateau, China Article Swipe
Yulan Chen
,
Jianjun Li
,
Juying Jiao
,
Nan Wang
,
Leichao Bai
,
Tongde Chen
,
Chunjing Zhao
,
Ziqi Zhang
,
Qian Xu
,
Jianqiao Han
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.ejrh.2022.101290
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.ejrh.2022.101290
Study region: The Shejiagou catchment on the Loess Plateau, China Study focus: This study used CAESAR-lisflood to simulate the impacts on flood processes of fully-filled check dams with different numbers, silt land areas and connection modes. According to the model results, the protective measures of fully-filled check dams and recommendations for promoting the construction of check dams were proposed in the study. New hydrological insights for the region: CAESAR-lisflood model in the study obtained higher accuracy with both the Nash-Sutcliff coefficient of efficiency and the coefficient of determination greater than 0.8. Our results showed the presence of fully-filled check dams made the flood process tend to balance, and reduced the flood volume by 9.56–75.52%, peak discharge by 14.25–89.74%, runoff kinetic energy by 30.21–99.75% and runoff power by 20.17–95.23% under different layout scenarios. Meanwhile, the results indicated that the impacts of fully-filled check dams in main channel mainly manifested in the energy dissipation of silt land and energy increase at the outside slope of dam body, which was aggravated by downstream channel with steep slope. The combination of fully-filled check dams could amplify the flood control efficiency of individual dam. These results provide a scientific basis for reinforcement of fully-filled check dams and optimization of check dams layout in the future on the Chinese Loess Plateau.
Related Topics
Concepts
Flood myth
Hydrology (agriculture)
Environmental science
Surface runoff
Channel (broadcasting)
Plateau (mathematics)
Silt
Loess plateau
Loess
Levee
Geology
Geotechnical engineering
Geomorphology
Soil science
Geography
Computer science
Mathematics
Mathematical analysis
Computer network
Ecology
Archaeology
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ejrh.2022.101290
- OA Status
- gold
- Cited By
- 16
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311774891
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4311774891Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ejrh.2022.101290Digital Object Identifier
- Title
-
Modeling the impacts of fully-filled check dams on flood processes using CAESAR-lisflood model in the Shejiagou catchment of the Loess Plateau, ChinaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-05Full publication date if available
- Authors
-
Yulan Chen, Jianjun Li, Juying Jiao, Nan Wang, Leichao Bai, Tongde Chen, Chunjing Zhao, Ziqi Zhang, Qian Xu, Jianqiao HanList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ejrh.2022.101290Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.ejrh.2022.101290Direct OA link when available
- Concepts
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Flood myth, Hydrology (agriculture), Environmental science, Surface runoff, Channel (broadcasting), Plateau (mathematics), Silt, Loess plateau, Loess, Levee, Geology, Geotechnical engineering, Geomorphology, Soil science, Geography, Computer science, Mathematics, Mathematical analysis, Computer network, Ecology, Archaeology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 6, 2023: 6Per-year citation counts (last 5 years)
- References (count)
-
54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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