globalchange  > 过去全球变化的重建
DOI: 10.3133/sir20155184
报告号: 2015-5184
报告题名:
Regression equations to estimate seasonal flow duration, <em>n</em>-day high-flow frequency, and <em>n</em>-day low-flow frequency at sites in North Dakota using data through water year 2009
作者: Williams-Sether, Tara tjsether@usgs.gov; Gross, Tara A.
出版者: U.S. Geological Survey
出版年: 2016
发表日期: 2016
国家: 美国
语种: 英语
英文摘要:

Seasonal mean daily flow data from 119 U.S. Geological Survey streamflow-gaging stations in North Dakota; the surrounding states of Montana, Minnesota, and South Dakota; and the Canadian provinces of Manitoba and Saskatchewan with 10 or more years of u

URL: http://pubs.usgs.gov/sir/2015/5184/sir20155184.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/45072
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:
Williams-Sether, Tara tjsether@usgs.gov,Gross, Tara A.. Regression equations to estimate seasonal flow duration, <em>n</em>-day high-flow frequency, and <em>n</em>-day low-flow frequency at sites in North Dakota using data through water year 2009. 2016-01-01.
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