Page 143 - 《水资源与水工程学报》2024年第2期
P. 143
!35 "!2 # & ' ( ) & * + , - Vol.35No.2
2024 $ 4 % JournalofWaterResources&WaterEngineering Apr.,2024
DOI:10.11705/j.issn.1672-643X.2024.02.16
'Å RF-GWO8@ÚÛi9Ã
'(¥X)<* I
1 2 1 2
c : , ½"¾ , 9( , ¿ÀÁ
(1. mq3¢#ûFc¯£./a)dKd, e d 710065;2. d24:+ h_q¢
FÅÝL2]qw9xyz{, e d 710048)
B C: s
/u¥IS¸2]45ã¦;<¤¥。ËEv|¼£Öñ~、 cá¦õö, ç@
)d ¼¿Àü Õz¯£¢/u¥|¼Å'#, ¢B¾ÓÔ./×Ö(RF) Ö¦ã£Ö-2¿À;
WÓJ», l=#<H(GWO) Ö, OG¾ÓÔ RF-GWO¦/u¥]´|¼, ×7 Z Ä2´3¹
./~ж·¾z{。ëìíî:RF ¿ÀËK=m23·ëì©U°y², ´HÔ CART ü BP ¿À;GWO
kÀss
ÿ×/u¥, =m23|¼ëì)2, ÚËiáÿ:¹ 0.42%, cQ½45NÙ, £Ö¦½-
ã7Ò5Ë«)ïëZã7ÒD。¢B¦|¼¿À´(ÁøS¸sØa45Ýs/u¥, Y)
yL45?@å²。
DEF: s
/u¥; |¼; Õz¯£; ./×Ö; #<H
GHIJK:TV139.1 LMNOP:A LQRK:1672643X(2024)020139010
Intelligentinversionanalysisofgeologicalpermeabilitycoefficientsin
hydraulicengineeringbasedonRF-GWO
2
1
2
1
LEIYan,WENLifeng,ZHAOMingcang,YINQiaogang
(1.PowerChinaNorthwestEngineeringCorporationLimited,Xi’an710065,China;2.StateKeyLaboratoryof
EcohydraulicsinNorthwestAridRegionofChina ,Xi’anUniversityofTechnology,Xi’an710048,China)
Abstract:Thegeologicalpermeabilitycoefficientsarethecrucialparametersforaccuratelyanalyzingthe
seepageinhydraulicengineering.Toaddresstheissuesoflowefficiencyandaccuracyofconventionalin
versionapproaches ,thisresearchutilizedacombinationofthefiniteelementforwardmodelandorthogonal
experimentaldesigntoconstructasamplesetforthepermeabilitycoefficientinversion.Then ,apermeabili
tycalculationsurrogatemodelbasedontherandomforest (RF)algorithmwasdeveloped.Subsequently,
thegreywolfoptimization(GWO)algorithm wasintroducedtodevelopanintelligentinversionmethod
basedonRF-GWO.TakingtheZpumpedstoragepowerstationasthecasestudy,itisfoundthatthewa
terlevelpredictionoutcomesoftheRFmodelarecloselyalignedwiththeactualmeasuredvaluesateach
borehole ,withtheperformancesurpassingCARTandBPmodels.Theoptimalgeologicalpermeabilitycoef
ficientcalculatedbyGWOperformsexcellentlyintheboreholewaterlevelinversion ,withamaximumrela
tiveerrorof0.42%,therebysatisfyingtherequiredaccuracyforengineeringapplications.Thecalculated
naturalseepagefielddistributionconformstothegeneraldistributionpatternsofmountainousseepage
fields.Therefore ,theproposedinversionmodelcanrapidlyandpreciselypredictthegeologicalpermeabili
tycoefficientintheprojectarea ,demonstratingsignificantengineeringpracticalityandvalue.
Keywords:geologicalpermeabilitycoefficient;inversionanalysis;orthogonalexperimentaldesign;ran
domforest(RF);greywolfoptimization(GWO)
!"#$:20230606; %&#$:20231207
'()*: qw,-*+ÓÛ01(51909215)
+,-.: (1982—), p, evõI, sK, &ç45Z, MNOP23^Ä2´324믣./。
/0+,: °B'(1989—), D, â³~I, JK, rWX, sKLYZ, ./ö¹24ë45。