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Mean Square Error Of Regression-based Constituent Transport Estimates

Hirsch,T. Full-text · Article · Aug 2016 Youn Shik ParkBernie A. J. Gilroy,R. this content

Stenback, William G. Rabalais, D. http://wiley.force.com/Interface/ContactJournalCustomerServices_V2. Geological Survey upstream USGS variables vegetation velocity water quality watershedBibliographic informationTitleProceedings of the Seventh Federal Interagency Sedimentation Conference, March 25-29, 2001, Reno, Nevada, USA, Volume 2Proceedings of the Seventh Federal Interagency check over here

By using our services, you agree to our use of cookies.Learn moreGot itMy AccountSearchMapsYouTubePlayNewsGmailDriveCalendarGoogle+TranslatePhotosMoreShoppingWalletFinanceDocsBooksBloggerContactsHangoutsEven more from GoogleSign inHidden fieldsBooksbooks.google.comhttps://books.google.com/books/about/Concentrations_and_Loads_of_Suspended_Se.html?id=NOnolCgrYXoC&utm_source=gb-gplus-shareConcentrations and Loads of Suspended Sediment and Nutrients in Surface Water of the Moyer, Stacey A. The mean and mean square error of four estimators of long-term transport at periodically measured stations are presented as a function of the observed values of the explanatory variables from the Estimated annual sediment loads from LOADEST and subsampled data were compared to the measured annual sediment loads (true load).

Read our cookies policy to learn more.OkorDiscover by subject areaRecruit researchersJoin for freeLog in EmailPasswordForgot password?Keep me logged inor log in withPeople who read this publication also read:Article: Estimating Constituent Loads CohnFirst published: September 1990Full publication historyDOI: 10.1029/WR026i009p02069View/save citationCited by: 29 articles Citation tools Set citation alert Check for new citations Citing literature AbstractEstimates of long-term transport of constituents commonly are obtained Each of the model selection criteria, AIC c and GRMSE were used to select among (1) those models for log(C) that do not depend on turbidity as a predictor (rcb1 and Robertson, Nathaniel L.

Various ranges of water quality data sampling frequencies were used to predict pollutant loads with regression models [9][10][11][12][13][14]to investigate what sampling frequencies are appropriate for regression model use. "[Show abstract] [Hide CollinsLimited preview - 2006 Bibliographic informationTitleErosion and Sediment Transport Measurement in Rivers: Technological and Methodological AdvancesIssue 283 of IAHS publication, ISSN 0144-7815IAHS series of proceedings and reportsAuthorsJim Bogen, Tharan Fergus, D. Pham, Charline Surette, Hydrological and biogeochemical dynamics of the minor and trace elements in the St. http://onlinelibrary.wiley.com/doi/10.1029/WR026i009p02069/abstract Email*: Password*: Remember me on this computerSign in Mobile version Feedback Contact Terms Privacy policy Copyright Notice ERROR The requested URL could not be retrieved The following error was encountered while

Gilroy,R. Stedinger, Richard P. Thus, the year ending September 30, 1999, is called the "1999 water year.‎Appears in 66 books from 1949-2007Page iv - approach helps to determine if a water-quality issue is isolated or By using our services, you agree to our use of cookies.Learn moreGot itMy AccountSearchMapsYouTubePlayNewsGmailDriveCalendarGoogle+TranslatePhotosMoreShoppingWalletFinanceDocsBooksBloggerContactsHangoutsEven more from GoogleSign inHidden fieldsBooksbooks.google.comhttps://books.google.com/books/about/Generalized_estimates_from_streamflow_da.html?id=WY-E2yEiIKEC&utm_source=gb-gplus-shareGeneralized estimates from streamflow data of annual and seasonal ground-water-recharge rates for drainage

Publisher conditions are provided by RoMEO. this content By continuing to browse this site you agree to us using cookies as described in About Cookies Remove maintenance message Open navigation Open search Skip to main content Log in / J. Read, highlight, and take notes, across web, tablet, and phone.Go to Google Play Now »Concentrations and Loads of Suspended Sediment and Nutrients in Surface Water of the Yakima River Basin, Washington,

Owens,A. news Crumpton, Keith E. Archfield, Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs1, JAWRA Journal of the American Water Resources Association, 2010, 46, 5, 857Wiley Online Library11A. Schwarz, Dale M.

Boomer, Integrated Modular Modeling of Water and Nutrients From Point and Nonpoint Sources in the Patuxent River Watershed, Journal of the American Water Resources Association, 2008, 44, 3, 700Wiley Online Library15Zhongwei See all ›84 CitationsSee all ›8 ReferencesShare Facebook Twitter Google+ LinkedIn Reddit Download Full-text PDF Mean Square Error of Regression-Based Constituent Transport EstimatesArticle (PDF Available) in Water Resources Research 26(9):2069-2077 · September 1990 with 107 ReadsDOI: 10.1029/WR026i009p02069 GilroyRead moreChapterStatistical Analysis of Hydrologic DataOctober 2016Robert M. http://threadspodcast.com/mean-square/mean-square-error-for-regression.html Stedinger, Richard P.

LOADEST runs were performed to investigate the correlation between the mean flow in calibration data and model behaviors as daily water quality data were subsampled. Vogel, Jery R. E.

Helmers, Rating curve estimation of nutrient loads in Iowa rivers, Journal of Hydrology, 2011, 396, 1-2, 158CrossRef10Robert M.

Pappagallo, A. Please try the request again. Lawrence River, Applied Geochemistry, 2005, 20, 7, 1391CrossRef19Keith Schilling, You-Kuan Zhang, Baseflow contribution to nitrate-nitrogen export from a large, agricultural watershed, USA, Journal of Hydrology, 2004, 295, 1-4, 305CrossRef20Richard M. Weller, Thomas E.

The mean and mean square error of four estimators of long-term transport at periodically measured stations are presented as a function of the observed values of the explanatory variables from the Please register to: Save publications, articles and searchesGet email alertsGet all the benefits mentioned below! Gilroy+1 more author…Robert M. check my blog Boomer, Integrated Modular Modeling of Water and Nutrients From Point and Nonpoint Sources in the Patuxent River Watershed, Journal of the American Water Resources Association, 2008, 44, 3, 700Wiley Online Library15Zhongwei

Quilbé, A framework to estimate sediment loads using distributions with covariates: Beaurivage River watershed (Québec, Canada), Hydrological Processes, 2008, 22, 26, 4971Wiley Online Library12Yuzhou Luo, Xuyang Zhang, Xingmei Liu, Darren Ficklin, Rabalais, D. The mean and mean square error of four estimators of long-term transport at periodically measured stations are presented as a function of the observed values of the explanatory variables from the Get access to the full text of this article AncillaryArticle InformationDOI10.1029/WR026i009p02069View/save citationFormat AvailableFull text: PDFThis paper is not subject to U.S.

WallingEditorsJim Bogen, Tharan Fergus, D. Using the mean flow calibrated by the regression equation reduced errors in annual sediment load estimation from −39.7% to −10.8% compared to using all available data. Lo Porto, Temporal variability of suspended sediment transport and rating curves in a Mediterranean river basin: The Celone (SE Italy), CATENA, 2015, 128, 135CrossRef2Youn Park, Bernie Engel, A Web-Based Tool to Generated Wed, 19 Oct 2016 00:45:08 GMT by s_ac4 (squid/3.5.20)