Self-organized approach to modeling hydraulic erosion features
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| Title: | Self-organized approach to modeling hydraulic erosion features |
|---|---|
| Authors: | Pytel, Alexei apytel@cs.uwaterloo.ca, Mann, Stephen1 smann@uwaterloo.ca |
| Source: | Computers & Graphics. Jun2013, Vol. 37 Issue 4, p280-292. 13p. |
| Subjects: | Self-organizing systems, Hydraulics, Computer simulation, Relief models, Fractals, Erosion, Mathematical models |
| Abstract: | Abstract: A simulation of the effects of hydraulic erosion should generate realistic fractal character and exhibit certain high-level behavior, such as tributary capture. Our simulation method is able to achieve these goals in an emergent way by using a variant of avalanching, which is a principle followed by many physical self-organized systems. We also use the same approach to generate initial conditions for the erosion, so that the combined algorithm is a complete terrain modeling method based only on self-organization. [Copyright &y& Elsevier] |
| Copyright of Computers & Graphics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 87397252 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Self-organized approach to modeling hydraulic erosion features – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pytel%2C+Alexei%22">Pytel, Alexei</searchLink><i> apytel@cs.uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Mann%2C+Stephen%22">Mann, Stephen</searchLink><relatesTo>1</relatesTo><i> smann@uwaterloo.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computers+%26+Graphics%22">Computers & Graphics</searchLink>. Jun2013, Vol. 37 Issue 4, p280-292. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Self-organizing+systems%22">Self-organizing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulics%22">Hydraulics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Relief+models%22">Relief models</searchLink><br /><searchLink fieldCode="DE" term="%22Fractals%22">Fractals</searchLink><br /><searchLink fieldCode="DE" term="%22Erosion%22">Erosion</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: A simulation of the effects of hydraulic erosion should generate realistic fractal character and exhibit certain high-level behavior, such as tributary capture. Our simulation method is able to achieve these goals in an emergent way by using a variant of avalanching, which is a principle followed by many physical self-organized systems. We also use the same approach to generate initial conditions for the erosion, so that the combined algorithm is a complete terrain modeling method based only on self-organization. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computers & Graphics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=87397252 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cag.2013.01.006 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 280 Subjects: – SubjectFull: Self-organizing systems Type: general – SubjectFull: Hydraulics Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Relief models Type: general – SubjectFull: Fractals Type: general – SubjectFull: Erosion Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Self-organized approach to modeling hydraulic erosion features Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pytel, Alexei – PersonEntity: Name: NameFull: Mann, Stephen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00978493 Numbering: – Type: volume Value: 37 – Type: issue Value: 4 Titles: – TitleFull: Computers & Graphics Type: main |
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