Precipitation-Runoff and Streamflow-Routing Models for the ...

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APPENDIX 2. ARC MACRO LANGUAGE (AML) PROGRAM USED TO CONVERT HYDROLOGIC RESPONSE UNIT(HRU) COVERAGE AND OTHER SPATIAL COVERAGE INFORMATION TO PRECIPITATION-RUNOFF MODELINGSYSTEM (PRMS) PARAMETER VALUES—CONTINUEDCA LU = RLUCA ITST = RITSTCA ITND = RITNDCA TST = RTSTCA SCX = RSCXCA RETIP = RRETIPCA SCN = RSCNCA SC1 = RSC1DEFINE MISC1REC,80,80,CLU,4,4,IKGW,1,1,IKDS,1,1,IKDC,1,1,ITRNCF,4,4,F,2AIMX,2,2,ISRX,1,1,IKRES,1,1,I[unquote ‘’]RED5,RLU,4,4,I15,RKGW,1,1,I25,RKDS,1,1,I35,RKDC,1,1,I45,RTRNCF,4,4,N,255,RAIMX,2,2,I65,RSRX,1,1,I75,RKRES,1,1,I[unquote ‘’]ADD FROM %tablepath%mis1.tabRES RLU LT 1000 OR RLU GT 5000PURGEYCA LU = RLUCA KGW = RKGWCA KDS = RKDSCA KDC = RKDCCA TRNCF = RTRNCFCA AIMX = RAIMXCA SRX = RSRXCA KRES = RKRESDEFINE MISC2REC,80,80,CLU,4,4,IKTS,1,1,ITXAJ,1,1,ITNAJ,1,1,I[unquote ‘’]RED5,RLU,4,4,I15,RKTS,1,1,I108
APPENDIX 2. ARC MACRO LANGUAGE (AML) PROGRAM USED TO CONVERT HYDROLOGIC RESPONSE UNIT(HRU) COVERAGE AND OTHER SPATIAL COVERAGE INFORMATION TO PRECIPITATION-RUNOFF MODELINGSYSTEM (PRMS) PARAMETER VALUES—CONTINUED25,RTXAJ,1,1,I35,RTNAJ,1,1,I[unquote ‘’]ADD FROM %tablepath%mis2.tabRES RLU LT 1000 OR RLU GT 5000PURGEYCA LU = RLUCA KTS = RKTSCA TXAJ = RTXAJCA TNAJ = RTNAJSEL %infoname%.STATSRELATE 1 GEOSOILS GEO ORDEREDRELATE 2 LANDUSE1 LU ORDEREDRELATE 3 LANDUSE2 LU ORDEREDRELATE 4 MISC1 LU ORDEREDRELATE 5 MISC2 LU ORDEREDCA $COMMA-SWITCH = -1OUTPUT %outpath%c36.%outname% IPRINT‘$RECNO’,11T,’IRU’,16T,’IRD’,23T,’SLP’,31T,’ELV’,36T,’ICOV’,42T,’COVDNS’,50T,’COVDNW’,59T,’TRNCF’,68T,’SNST’,75T,’RNSTS’,83T,’RNSTW’,89T,’ITST’,94T,’ITND’,99T,’ITSW’,108T,’CTX’,115T,’TXAJ’,123T,’TNAJ’PRINT1T,$RECNO,10T,HRU,HRU,22T,SLOPE,28T,MEANELEV,39T,$2ICOV,44T,$2COVDNS,52T,$2COVDNW,60T,$4TRNCF,68T,$2SNST,76T,$2RNSTS,84T,$2RNSTW,92T,$3ITST,96T,$3ITND,102T,’10.00’,118T,$5TXAJ,126T,$5TNAJOUTPUT %outpath%c37.%outname% IPRINT‘$RECNO’,11T,’IRU’,16T,’ISOIL’,24T,’SMAX’,32T,’SMAV’,40T,’REMX’,47T,’RECHR’,57T,’SRX’,65T,’SCX’,73T,’SCN’,81T,’SC1’,86T,’IMPERV’,95T,’RETIP’,105T,’SEP’,109T,’KRES’,114T,’KGW’,118T,’KSTOR’PRINT1T,$RECNO,10T,HRU,18T,$1ISOIL,24T,$1SMAX,32T,$1SMAV,40T,$1REMX,47T,$1RECHR,58T,$4SRX,64T,$3SCX,72T,$3SCN,80T,$3SC1,87T,$2IMPERV,95T,$3RETIP,104T,$1SEP,111T,$4KRES,115T,$4KGW,120T,’0’OUTPUT %outpath%c38.%outname% IPRINT‘$RECNO’,11T,’IRU’,15T,’KDS’,22T,’DARU’,29T,’UPCOR’,37T,’DRCOR’,45T,’DSCOR’,55T,’TST’,61T,’KTS’,67T,’KSP’,73T,’KDC’,80T,’AIMX’,87T,’PKFAC’,95T,’ASPECT’PRINT 1T,$RECNO,10T,HRU,17T,$4KDS,19T,ACRES,30T,’1.00 1.001.00’,57T,$3TST,63T,$5KTS,69T,’0’,75T,$4KDC,82T,$4AIMX,88T,’0.00’,98T,ASPECTQ STOP&end&workspace ../*/* CLEAN UP/*&type 7&if [exists elevstats -info] &<strong>the</strong>n&s delete_status [delete elevstats -info]109
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Precipitation-Runoff and Streamflow
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U.S. DEPARTMENT OF THE INTERIORBRUC
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Determining Travel Time and Dilutio
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2. Stream-gaging stations used to c
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Page Intentionally Blank
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network-routing models where availa
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made on the main stem at base-flow
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Figure 1. Willamette River Basin, O
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EvapotranspirationINPUTSAirtemperat
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Table 1. Climate stations used to c
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Table 2. Stream-gaging stations use
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Figure 4. Mean annual precipitation
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Major Land Use MapHydrologic Soil G
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0.5 mi 2 , created in the merge of
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Table 6. Geology and soils matrix o
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tion value of the HRU class by the
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Table 8. Selected monthly basinwide
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Figure 9. Location of Precipitation
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Table 11. Statistical analyses of P
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flow can become a significant compo
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diffusion at selected grid interval
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samples were collected at various d
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3,0002,500June 21-30, 1993September
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stream network is shown on figure 1
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122˚30´ 15´122˚00´121˚45´Roc
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123˚22´30´´ 123˚15´ 123˚00´
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123˚00´´ 45´30´122˚15´45˚15
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YamhillRiver123˚45´ 30´ 15´123
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123˚07´30´´ 123˚00´ 45´ 30´
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123˚07´30´´ 123˚00´ 45´ 30´
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44˚15´14166000122˚07´30´´Will
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122˚15´ 122˚00´121˚52´30´´4
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44˚52´30´´45´122˚15´ 122˚00
Page 68 and 69: observed flow at the Willamette Riv
Page 70 and 71: DAFLOW model, and peak amplitude is
Page 72 and 73: 20DYE CONCENTRATION, IN MICROGRAMS
Page 74 and 75: ARC-INFO and Geographic Information
Page 76 and 77: WILL.WDMData-base file(Observed pre
Page 78 and 79: WILL.WDMData-base fileSWSTATSFreque
Page 80 and 81: Jobson, H.E., 1980, Comment on A ne
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Page 84 and 85: APPENDIX 1. STREAM GEOMETRY FOR MAI
Page 110 and 111: APPENDIX 2. ARC MACRO LANGUAGE (AML
Page 122 and 123: APPENDIX 3. DEFINITIONS OF PARAMETE
Page 124 and 125: APPENDIX 3. DEFINITIONS OF PARAMETE
Page 126 and 127: APPENDIX 4. MEASUREMENTS USED TO DE
Page 134 and 135: APPENDIX 5. EXAMPLE PRECIPITATION-R
Page 136 and 137: APPENDIX 5. EXAMPLE PRECIPITATION-R
Page 138 and 139: APPENDIX 6. DIFFUSION ANALOGY FLOW
Page 150 and 151: APPENDIX 7. PROGRAMMING STEPS TO IN
Page 152 and 153: APPENDIX 8. PROGRAMMING STEPS TO DE
Page 160 and 161: 150Climatemaxtempmintempprecipitati
Page 162 and 163: APPENDIX 10. DIRECTORY TREE AND DES
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APPENDIX 10. DIRECTORY TREE AND DES
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APPENDIX 11. DIRECTORY TREES AND DE
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APPENDIX 11. DIRECTORY TREES AND DE
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APPENDIX 12. DIRECTORY FOR will.wdm
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APPENDIX 13. PROGRAMMING STEPS FOR
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APPENDIX 14. INPUT FILES FOR BRANCH
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