A Width Parameter Estimation Through Equivalent Rectangle Methodology for Hydraulic Modeling Applications Article Swipe
José Ricardo Bonilla Brenes
,
Rafael Oreamuno Vega
,
Jochen Hack
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.14796/jwmm.c493
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.14796/jwmm.c493
EPA SWMM hydraulic modeling requires the estimation of different parameters allowing the determination of the basin's response upon a given precipitation event. Some physical parameters, such as area or perimeter, are measurable and can be accurately determined; however, other parameter estimation presents greater uncertainty, such as the width parameter. For regular and uniform drainage areas, width parameter estimation is relatively simple; however, when a complete irregular basin analysis is required, width determination presents greater uncertainty, and its representativeness becomes complicated to define. Width determination is idealized with the representation of a rectangle, where, for an equal area, a higher width will result in a faster response of the basin, while a lower width will result in a slower response of the basin. This paper attempts to estimate a representative value of width for a realistic, irregularly shaped basin by defining the equivalent rectangle, which takes into account the area, perimeter, and compactness index of the basin. The compactness index can be used to classify the basin by its shape. The shape of the basin is an indicator of how the precipitation histograms are temporally distributed and how the water flows through the basin, i.e., it defines the response speed of the basin, as the width parameter does in modeling. The width parameter has a high sensitivity in the EPA SWMM modeling results; therefore, an inaccurate estimation of the parameter leads to unrepresentative results. For this reason, this study seeks to find an optimal methodology to reduce modeling uncertainty and achieve more accurate simulations of an irregular watershed's hydrological response.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.14796/jwmm.c493
- https://www.chijournal.org/Content/Files/C493.pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312791098
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312791098Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.14796/jwmm.c493Digital Object Identifier
- Title
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A Width Parameter Estimation Through Equivalent Rectangle Methodology for Hydraulic Modeling ApplicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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José Ricardo Bonilla Brenes, Rafael Oreamuno Vega, Jochen HackList of authors in order
- Landing page
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https://doi.org/10.14796/jwmm.c493Publisher landing page
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https://www.chijournal.org/Content/Files/C493.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.chijournal.org/Content/Files/C493.pdfDirect OA link when available
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Rectangle, Estimation theory, Structural basin, Mathematics, Algorithm, Geology, Geometry, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2024: 1, 2023: 1Per-year citation counts (last 5 years)
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9Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.uncertainty | 247 |
| abstract_inverted_index.watershed's | 256 |
| abstract_inverted_index.hydrological | 257 |
| abstract_inverted_index.uncertainty, | 43, 74 |
| abstract_inverted_index.determination | 12, 71, 83 |
| abstract_inverted_index.precipitation | 20, 180 |
| abstract_inverted_index.representation | 88 |
| abstract_inverted_index.representative | 128 |
| abstract_inverted_index.unrepresentative | 231 |
| abstract_inverted_index.representativeness | 77 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5085606292, https://openalex.org/A5014608862 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I114112103, https://openalex.org/I31944674 |
| citation_normalized_percentile.value | 0.50796147 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |