Optimized algorithm of auxiliary drainage scheme in tailings reservoir rainfall prediction: illustrated with a case study Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3389/feart.2023.1141345
Under forecasting rainfall condition, rainfall flows into the tailings pond instantaneously, causing water level rising rapidly, thus threatening the safety of the tailings pond. Therefore, it is of great importance to give auxiliary flood discharge measures in emergency situation. This study investigated the optimized calculation algorithm of two combined schemes of lowering the coverplate of tailing ponds and installing additional drainage pumps to determine the recommended scheme of auxiliary drainage measures for tailing ponds under forecast rainfall and proposed the corresponding prediction and calculation method based on the basic data of the water level-reservoir capacity curve of tailing ponds, forecast rainfall parameters, and flood discharge system parameters. The results showed that compared with the precise algorithm, the optimized algorithm does not need to call the main procedure of flood regulation calculation and is of high calculation efficiency and accuracy, calculation time can be controlled within 0.05s. Through the optimized algorithm, the recommended auxiliary drainage scheme for forecast rainfall can be obtained immediately, which can effectively guide tailing pond flood control and drainage activities during the flood season.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/feart.2023.1141345
- https://www.frontiersin.org/articles/10.3389/feart.2023.1141345/pdf
- OA Status
- gold
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4367843593
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4367843593Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/feart.2023.1141345Digital Object Identifier
- Title
-
Optimized algorithm of auxiliary drainage scheme in tailings reservoir rainfall prediction: illustrated with a case studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-03Full publication date if available
- Authors
-
Guodong Mei, Sha Wang, Lijie GuoList of authors in order
- Landing page
-
https://doi.org/10.3389/feart.2023.1141345Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/feart.2023.1141345/pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/feart.2023.1141345/pdfDirect OA link when available
- Concepts
-
Drainage, Tailings, Environmental science, Flood myth, Hydrology (agriculture), Flood control, Algorithm, Drainage system (geomorphology), Meteorology, Geology, Geotechnical engineering, Computer science, Philosophy, Metallurgy, Ecology, Theology, Physics, Biology, Materials scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5100699775, https://openalex.org/A5100608375 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I4210108870 |
| citation_normalized_percentile.value | 0.05679785 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |