Regression - Revision history

Mpollei@gfnet.com at 04:36, 21 July 2023

2023-07-21T04:36:48Z

← Older revision		Revision as of 04:36, 21 July 2023
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	==Best Practices Resources==		==Best Practices Resources==
	{{Website Icon}} [https://www.usgs.gov/mission-areas/water-resources/science/streamstats-streamflow-statistics-and-spatial-analysis-tools StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications, USGS~~, 2022~~]		{{Website Icon}} [https://www.usgs.gov/mission-areas/water-resources/science/streamstats-streamflow-statistics-and-spatial-analysis-tools StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications, USGS]
	{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C) \| Guidelines for Determining Flood Flow Frequency (Bulletin 17C), USGS~~, 2019~~]]		{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C) \| Guidelines for Determining Flood Flow Frequency (Bulletin 17C), USGS]]

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Rmanwaring at 20:01, 19 December 2022

2022-12-19T20:01:02Z

← Older revision		Revision as of 20:01, 19 December 2022
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	==Best Practices Resources==		==Best Practices Resources==
	~~{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C)\|Guidelines for Determining Flood Flow Frequency (Bulletin 17C) (United States Geological Survey)]]~~		{{Website Icon}} [https://www.usgs.gov/mission-areas/water-resources/science/streamstats-streamflow-statistics-and-spatial-analysis-tools StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications, USGS, 2022]
	{{Website Icon}} [https://www.usgs.gov/mission-areas/water-resources/science/streamstats-streamflow-statistics-and-spatial-analysis-tools StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications (~~United States Geological Survey~~)]		{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C) \| Guidelines for Determining Flood Flow Frequency (Bulletin 17C), USGS, 2019]]

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Grichards at 00:44, 13 December 2022

2022-12-13T00:44:56Z

← Older revision		Revision as of 00:44, 13 December 2022
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	<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->		<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->
	“In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from [[precipitation]] and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicability of regional equations”.<ref name="NEH210-630-20">[[National Engineering Handbook: Chapter 20 - Watershed Yield \| National Engineering Handbook: Chapter 20 - Watershed Yield, NRCS, 2009]]</ref>		“In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from [[precipitation]] and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicability of regional equations”.<ref name="NEH210-630-20">[[National Engineering Handbook: Chapter 20 - Watershed Yield \| National Engineering Handbook: Chapter 20 - Watershed Yield, NRCS, 2009]]</ref>

	~~“The most important variable in~~ the regression equations ~~is precipitation; therefore~~, the ~~key to using this method is to have~~ a ~~good estimate~~ of ~~watershed average precipitation~~ for the ~~time period~~ of ~~interest”~~.<ref name="~~NEH210-630-20~~" />		The U.S. Geological [[Survey]] has developed streamflow regression equations that can be applied to ungaged watersheds across the country. "The regression equations included in NSS are used to transfer streamflow statistics from gaged to ungaged sites through the use of watershed and climatic characteristics as explanatory or predictor variables. Generally, the equations were developed on a statewide or metropolitan-area basis as part of cooperative study programs. Equations are available for estimating rural and urban flood-frequency statistics, such as the 100-year flood, for every state, for Puerto Rico, and for the island of Tutuila, American Samoa. Equations are available for estimating other statistics, such as the mean annual flow, monthly mean flows, flow-duration percentiles, and low-flow frequencies (such as the 7-day, 10-year low flow) for less than half of the states. All equations available for estimating streamflow statistics other than flood-frequency statistics assume rural (non-regulated, non-urbanized) conditions.<ref name="USGS">[[The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites \| The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites, USGS, 2007]]</ref>

	==Best Practices Resources==		==Best Practices Resources==
	{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C)\|Guidelines for Determining Flood Flow Frequency (Bulletin 17C) (United States Geological Survey)]]		{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C)\|Guidelines for Determining Flood Flow Frequency (Bulletin 17C) (United States Geological Survey)]]
			{{Website Icon}} [https://www.usgs.gov/mission-areas/water-resources/science/streamstats-streamflow-statistics-and-spatial-analysis-tools StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications (United States Geological Survey)]

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Grichards at 06:22, 18 November 2022

2022-11-18T06:22:43Z

← Older revision		Revision as of 06:22, 18 November 2022
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	__NOTOC__		__NOTOC__
			[[Category:Flood Hydrology]]
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Rmanwaring at 19:49, 21 October 2022

2022-10-21T19:49:19Z

← Older revision		Revision as of 19:49, 21 October 2022
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	<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->		<!-- Delete any sections that are not necessary to your topic. Add pictures/sections as needed -->
	“In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from precipitation and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicability of regional equations”.<ref name="NEH210-630-20">[[National Engineering Handbook ~~210 Part 630 Hydrology~~: Chapter 20 Watershed Yield \| National Engineering Handbook ~~210 Part 630 Hydrology~~: Chapter 20 Watershed Yield, NRCS, 2009]]</ref>		“In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from [[precipitation]] and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicability of regional equations”.<ref name="NEH210-630-20">[[National Engineering Handbook: Chapter 20 - Watershed Yield \| National Engineering Handbook: Chapter 20 - Watershed Yield, NRCS, 2009]]</ref>

	“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" />		“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" />

Grichards at 00:44, 17 September 2022

2022-09-17T00:44:37Z

← Older revision		Revision as of 00:44, 17 September 2022
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	“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" />		“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" />

	~~==Examples==~~
	~~{{Website Icon}}~~
	==Best Practices Resources==		==Best Practices Resources==
	{{Document Icon}} [[~~National Engineering Handbook 210 Part 630 Hydrology: Chapter 20 Watershed Yield~~]]		{{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C)\|Guidelines for Determining Flood Flow Frequency (Bulletin 17C) (United States Geological Survey)]]
	~~==Trainings==~~
	~~{{Video Icon}}~~

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Rmanwaring: Created page with "NOTOC ---- “In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from precipitation and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicabilit..."

2022-09-08T23:46:56Z

Created page with "__NOTOC__ ----  “In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from precipitation and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicabilit..."

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__NOTOC__
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“In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from precipitation and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicability of regional equations”.<ref name="NEH210-630-20">[[National Engineering Handbook 210 Part 630 Hydrology: Chapter 20 Watershed Yield | National Engineering Handbook 210 Part 630 Hydrology: Chapter 20 Watershed Yield, NRCS, 2009]]</ref>

“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" />

==Examples==
{{Website Icon}}
==Best Practices Resources==
{{Document Icon}} [[National Engineering Handbook 210 Part 630 Hydrology: Chapter 20 Watershed Yield]]
==Trainings==
{{Video Icon}}


{{Citations}}


{{revhistinf}}