Kangwon National University, South Korea

Transcription

1 Evaluato of WAT Auto-calbrato usg Dverse Effcecy Crtera 0 Iteratoal WAT Coferece Hyuwoo Kag Kagwo Natoal Uversty, outh Korea

2 Itroducto Calbrato ad Valdato of hydrologcal model Nash-utclffe Model Effcecy Coeffcet (NE) Coeffcet of Determato (R ) Idex of agreemet d Modfed NE ad d Relatve effcecy crtera NE ad d

3 Itroducto Nash-utclffe Model Effcecy Coeffcet = NE NE =.0 Perfect match

4 Itroducto ol ad Water Assessmet Tool (WAT)

5 Itroducto Calbrato WAT model Calbrato of model through adjustg put parameter. (Maual calbrato)

6 Itroducto Calbrato WAT model Auto-calbrato Tool Fd the best parameters automatcally

7 Itroducto Parameter oluto (Parasol) Method Fds the best parameter Based o huffle Complex Evoluto(CE-UA)

8 Itroducto Root Mea quare Error(RME) Parameter oluto (Parasol) Coeffcet of Determato (R ) Goal fucto Idex of agreemet d Modfed NE ad d NE Relatve effcecy crtera NE ad d

9 bjectves of study Modfcato of WAT Auto-calbrato usg dfferet effcecy crtera. Comparso of each WAT Auto-calbrato ad fdg the effcecy crtera whch make the better calbrato result.

10 tudy Area oyaggag dam watershed Area:,703 km Forest : 89.6 % Agrcultural area : 5.3 %

11 Effcecy crtera Nash-utclffe Model Effcecy Coeffcet (NE) NE ( ( ) ) mulated data bserved data The average of observed data

12 Effcecy crtera NE wth logarthmc values l NE (l (l l ) l ) mulated data bserved data The average of observed data Usg to overcome oversestvty to extreme values

13 Effcecy crtera Idex of agreemet d (Wllmot, 98) d ( ( ) ) mulated data bserved data The average of observed data Usg to overcome sestvty of NE ad R

14 Modfed forms of NE ad d Effcecy crtera m d ) ( m NE ame purpose logarthmc NE ad Idex of d

15 Effcecy crtera Relatve effcecy crtera NE ad d rel d rel NE More sestve partcular durg low flow codtos

16 Methods The objectve fucto of curret WAT Auto-calbrato um of the squares of the resduals(q)

17 Methods NE ( ( ) ) Q Fxed

18 NE wth logarthmc values Idex of agreemet d Modfed forms of NE NE ) l (l ) l (l l d ) ( ) ( m NE m d ) ( Modfed forms of d Methods

19 Methods Relatve effcecy crtera NE Relatve effcecy crtera d rel NE rel d Modfed WAT auto-calbrato ca cosder varous effcecy crtera

20 Methods Modfed WAT Auto-calbrato NE wth logarthmc values Idex of agreemet d Modfed NE ad d Relatve effcecy crtera NE ad d Daly mulato 006

21 Methods Parameter ALPHA_BF BIMIX BLAI CANMX CH_K CH_N CN EPC EC GW_DELAY GW_REVAP GWQMN REVAPMN FTMP LPE LUBBN MFMN MFMX Descrpto Baseflow alpha factor Bologcal mxg effcecy Maxmum potetal leaf area dex Maxmum caopy storage Effectve hydraulc coductvty ma chael alluvum Mags value for the ma chael C ruoff curve umber for mosture codto II Plat evaporato compesato factor ol evaporato compesato factor Groudwater delay Groudwater revap coeffcet Threshold depth of water the shallow aqufer requred for retur flow to occur Threshold depth of water the shallow aqufer for revap to occur (mm) ow melt base temperature ( C) Icrease the lateral flow Average slope legth Mmum melt rate for sow (mm/ C/day) Maxmum melt rate for sow (mm/ C/day) ow melt base temperature ( C) Most sol albedo Avalable water capacty of the sol layer L_K aturated hydraulc coductvty (mm/hr) L_Z ol depth (%) urface ruoff lag tme ow pack temperature lag factor MTMP L_AlB L_AWC URLAG TIMP TLAP Temperature laps rate ( C/km)

22 Methods Each WAT auto-calbrato was compared total stream flow, hgh ad low flow codtos

23 Results Each auto-calbrato was geerated amog the over 0,000 smulatos

24 Results Comparso of Auto-calbrato for hgh flow codto(top 0% ) Effcecy crtera Type of objectve NE NE_logar Agg_d NEm dm NErel drel fucto NE_logar Agg_d NEm dm NErel drel

25 Results NE_logar Agg_d NEm dm NErel drel Reasoable result for hgh flow codto

26 Results Comparso of Auto-calbrato for low flow codto(bottom 0%) Effcecy crtera Type of objectve NE NE_logar Agg_d NEm dm NErel drel fucto NE_logar Agg_d NEm dm NErel drel

27 Results NE_logar Agg_d NEm dm NErel drel Ureasoable calbrato result for low flow codto

28 Results Curret WAT Auto-calbrato Ureasoable calbrato result for low flow codto

29 Results Flow Durato Curve

30 Cocluso I ths study, WAT Auto-calbrato was modfed by dfferet effcecy crtera. As a result of ths study, Auto-calbratos modfed by mod_ne, mod_d ad rel_d show the better calbrato result for hgh flow codtos.

31 Cocluso I low flow codtos, the results of all autocalbratos are uacceptable. WAT Auto-calbrato should be mproved ad modfed to make the better smulato for low flow codtos.

32 Cocluso For better calbrato ad valdato of hydrologcal modelg, combato ad comparso of dfferet effcecy crtera s eeded. The result of ths study ca be used to mprove the accuracy of WAT Auto-calbrato for varous flow codtos.

33 Future study WAT Auto-calbrato

34 GI Evromet ystem Lab.