globalchange  > 过去全球变化的重建
DOI: 10.3133/sir20155034
报告号: 2015-5034
报告题名:
Reducing cross-sectional data using a genetic algorithm method and effects on cross-section geometry and steady-flow profiles
作者: Berenbrock, Charles E. ceberenb@usgs.gov
出版者: U.S. Geological Survey
出版年: 2015
发表日期: 2015
总页数: 24
国家: 美国
语种: 英语
英文摘要:

Reduction of cross-sectional data using a genetic algorithm method, and the effects of data reduction on channel geometry and steady-flow profiles, were analyzed. Two reduction methods─standard and genetic algorithms─were used to reduce cross-sectional

URL: http://pubs.usgs.gov/sir/2015/5034/pdf/sir2015-5034.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/44926
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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Recommended Citation:
Berenbrock, Charles E. ceberenb@usgs.gov. Reducing cross-sectional data using a genetic algorithm method and effects on cross-section geometry and steady-flow profiles. 2015-01-01.
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