An inverse design method for determining the optimal tributary flow into a main stream in a rainstorm period Article Swipe
Lei Liu
,
Huimin Chen
,
Xue‐yi You
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2166/ws.2021.089
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2166/ws.2021.089
To ensure water quality at the control cross-section of main streams (CCMS) in a rainstorm period, an inverse design method was proposed to determine the optimal discharge flow of tributary rivers. The design variables are tributary discharges and the target variables are the required concentrations of chemical oxygen demand (COD), dissolved oxygen (DO) and ammonia nitrogen (NH3-N) at CCMS. The relationship between target variables and design variables was identified using an artificial neural network (ANN). The database was obtained by Environmental Fluid Dynamics Code (EFDC) and the optimal tributary discharges were obtained by a genetic algorithm (GA) coupled with well trained ANN. The results showed the following results: (a) The relative prediction errors of ANN are mostly less than 5%. (b) When the inlet flow rate is 0 m3/s, 30 m3/s, 50 m3/s, 100 m3/s and 200 m3/s, the optimization total discharges of tributaries are 5.7 m3/s, 12.5 m3/s, 18.6 m3/s, 33.4 m3/s and 61.8 m3/s, respectively. (c) Most of optimization plans entirely satisfy the water quality requirements at CCMS except a few plans, in which the relative errors between optimized results and required values of COD and DO are less than 0.4% and 0.1%, respectively. The study showed that the inverse design method is efficient for determining the optimal discharges of multiple tributaries.
Related Topics
Concepts
Tributary
Environmental science
Inlet
Water quality
Inverse
STREAMS
Hydrology (agriculture)
Flow (mathematics)
Volumetric flow rate
Mathematics
Computer science
Ecology
Engineering
Mechanics
Biology
Geography
Geotechnical engineering
Computer network
Geometry
Physics
Mechanical engineering
Cartography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2166/ws.2021.089
- https://iwaponline.com/ws/article-pdf/21/6/3180/933048/ws021063180.pdf
- OA Status
- diamond
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3145600516
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3145600516Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2166/ws.2021.089Digital Object Identifier
- Title
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An inverse design method for determining the optimal tributary flow into a main stream in a rainstorm periodWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-25Full publication date if available
- Authors
-
Lei Liu, Huimin Chen, Xue‐yi YouList of authors in order
- Landing page
-
https://doi.org/10.2166/ws.2021.089Publisher landing page
- PDF URL
-
https://iwaponline.com/ws/article-pdf/21/6/3180/933048/ws021063180.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://iwaponline.com/ws/article-pdf/21/6/3180/933048/ws021063180.pdfDirect OA link when available
- Concepts
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Tributary, Environmental science, Inlet, Water quality, Inverse, STREAMS, Hydrology (agriculture), Flow (mathematics), Volumetric flow rate, Mathematics, Computer science, Ecology, Engineering, Mechanics, Biology, Geography, Geotechnical engineering, Computer network, Geometry, Physics, Mechanical engineering, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
- References (count)
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21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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