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<br /> SOME STATISTICAL TOOLS IN HYDROLOGY 25 <br />. 60 3~ <br />ci 9,41 <br />~ 24 <br />> 0 <br />0: x <br />~ 0 " <br />" <br />01- 10.77 ~~ 16 <br />iiiltl u...ttl- <br />~U; 40 4.68 l.L...Jltl <br />~~ ~!;(U, <br />'" 0 <br />"''' z ~ <br />"'''' =>wo:::a <br />o~ ",>" <br />~o 4,69 ",'" <br /> o=>~ <br />1-", 0 ~"o <br />~o ~;:;(/) 0 <br />~z <br />,'" g 5.07 gzCl <br />~'" n.-z <br />=>=> ~'" <br />~o 5.60 ~z'" <br />J j:!: 20 OQ6a <br />o:z z"':x: <br /> 0"'1- <br />n._ -~ <br />'" I-",z <br />"' 9.41 Precipitation ~C..?- <br />~ >~ 16 <br />0 o Plotted point ~'" <br /> 0 <br />z X Point adjusted for effect <br />=> <br />'" of precipitation from <br /> curve at right ~4 <br /> 0 <br /> 10 ~O 30 0 4 S 12 <br /> WATER CONTENT OF SNOW ON APRIL 1 PRECIPITATION AT THREE CREEK <br /> ON GOAT CREEK SNOW COURSE, IN INCHES APRil-JULY, IN INCHES <br /> <br /> <br />Figure: 18.-Example of graphical multiple regression usin9 arithmetic scales. <br /> <br />. <br /> <br />are given in table 4. Curve 1 (fig. 19) is the <br />relation between lOO-year flood (QII") and <br />mean annual flood (Q2.33) for 17 stations. <br /> <br />1000 <br /> <br /> "'~ ?j- <br /> . L~ & ' " <br /> ...--?' ~ --c,.y '0-; )'..: <br /> ./5' V '.q,; <br /> ,'"'~ ~ !4fr; <br /> ''''0 . <br />a~ ~~ <br />~~~"o~ "-~,d:L?. ~ 1"'<> <br />~ i\",! ...S'?~ ? <br />'IS '" """"".. '<5'", ".. <br /> ~<b <br /> . ~-f~~ <br /> " ~+-? <br />.JC --i~ ~ . <br />L ...~?1kfi~ <br />)~"i;'~ 1~ <br />--"0", J--?v.; <br />? <br />.''{,> <br /> <br />~ <br />o <br />'" <br />o <br />z <br />'" <br />"'0 <br />=>z <br />00 <br />:x: " <br />I-~ <br />z'" <br />-'" <br />^~ <br />8""100 <br />-I- <br />O~ <br />~~ <br />o~ <br />gS! <br />~'" <br />~=> <br />"," <br />'" <br />~ <br />>- <br />6 <br />S <br /> <br />10 <br />10 <br /> <br />The numerator of the fraction flagged to each <br />plotted point is the mean annual discharge <br />(Q..) of the stream. Because this discharge <br /> <br />15 <br /> <br />100 <br /> <br />- <br />~" Ii <br />~ii: 10 ."'~ <br />o=> <br />-" <<~- <br />'" <br />~" <br />CC:~06 ~ <br />~ 2.0 <br /> 0.6 1.0 <br /> OIVIOENO / <br /> / <br /> l/ <br /> . <br /> / <br /> /' " <br />"/ . <br /> <br />~ <br />o <br />'" <br />" <br />z <br />'" <br />'" <br />=> <br />o <br />:x: <br />1-0 <br />~}5 <br />,,, <br />~~ <br />>'" <br />o <br />0'" <br />lO'-'-~ <br />~t;j <br />"'~ <br />:i~ <br />"" <br />!aiii <br />o=> <br />~" <br />'" <br />=> <br />z <br />z <br />'" <br />z <br />'" <br />~ <br />" <br /> <br />100 500 10 100 <br />MEAN ANNUAL Fb.OOD (02_33), IN THOUSANDS OF CUBIC PEET PER SECOND <br /> <br />500 <br /> <br />. <br /> <br />Figure 19.-Graphical regression using highly cORelated independent variables. Based on dolo given in Ioble 4. <br />