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! 6# ÃÄ, =: ²Å¡ÆhiºÇȤ2¤A&ÉJ³ÊËÌ 9 7
SCIR,2011. 15 ].http//doi.org/10.5067/TXBMLX570XX8.
[9]ß©^, PÀÀ, 8;ø.CMIP6 dõk|!y [21]LIBailing,RODELLM,KUMARS,etal.GlobalGR
ájQñ8ãKñ}ã[J]. a ACEdataassimilationforgroundwateranddroughtmoni
%B,2022,27(1):6378. toring :advancesandchallenges[J].WaterResources
[10]GREENTR.Linkingclimatechangeandgroundwater[J]. Research,2019,55(9):75647586.
IntegratedGroundwaterManagement ,2016:97141. [22]YANGWenting,LONGDi,SCANLONBR,etal.Hu
[11]KURYLYKBL,MACQUARRIEKTB.Theuncertainty maninterventionwillstabilizegroundwaterstorageacross
associatedwithestimatingfuturegroundwaterrecharge:a theNorthChinaPlain [J].WaterResourcesResearch,
summaryofrecentresearchandanexamplefromasmall 2022,58(2):e2021WR030884.
unconfinedaquiferinanorthernhumidcontinentalclimate [23]a Ú W.| ! 1km í Ù ! / á j ã ¢
[J].Journalofhydrology,2013,492:244253. (1901—2023)[DB/OL].!"Ú¯8¢|i,
[12]WOLDEMESKELFM,SHARMAA,SIVAKUMARB,et 2019[20230315].https://doi.org/10.11888/Meteo
al.AframeworktoquantifyGCM uncertaintiesforusein ro.tpdc.270961.
impactassessmentstudies [J].JournalofHydrology, [24]aÚW. |! 1kmíÙ!/49¢(1901—
2014,519:14531465. 2023)[DB/OL].! " Ú ¯ 8 ¢ | i,2020
[13]NKHONJERAGK,DINKAM O.Significanceofdirect [20230315]. https://doi. org/10. 5281/zenodo.
andindirectimpactsofclimatechangeongroundwaterre 3114194.
sourcesintheOlifantsRiverBasin :areview[J].Global [25]aÚW.|! 1km!/jÔ&¢(1901—
andPlanetaryChange ,2017,158:7282. 2023)[DB/OL].! " Ú ¯ 8 ¢ | i,2022
[14]CROSBIERS,SCANLONBR,MPELASOKAFS,et [20230315]. https://doi.org/10.11866/db.loess.
al.Potentialclimatechangeeffectsongroundwaterre 2021.001.
chargeintheHighPlainsAquifer ,USA[J].WaterRe [26]ZHANGChao,DONGJinwei,GeQuansheng.IrriMap_
sourcesResearch ,2013,49(7):39363951. CN :improvedannualirrigationmapsacrossChinain
[15] WANG Huimin,CHEN Jie,XU Chongyu,etal.A 2000 —2019based on satelliteimageryand machine
frameworktoquantifytheuncertaintycontributionofGC learningmethod[DB/OL].(20220724)https://doi.
Msovermultiplesourcesinhydrologicalimpactsofcli org/10.6084/m9.figshare.20363115.v1.
matechange [J].Earth’sFuture,2020,8(8):e2020 [27]JIANGDabang,HUDan,TIANZhiping,etal.Differ
EF001602. encesbetweenCMIP6andCMIP5modelsinsimulating
climateoverChinaandtheEastAsianmonsoon [J].Ad
[16]ö ê, *3V, P;.CMIP6 õkÚ¯8
vancesinAtmosphericSciences,2020,37(10):1102
JaK%B [J]. 8 ¨,2021,40
(6):14551469. 1118.
[28]YUANFei,TUNGYK,RENL.Projectionoffuturestre
[17]SUNQingyan,XUChengcheng,GAOXiang,etal.Re
amflowchangesofthePearlRiverBasininChinausing
sponseofgroundwatertodifferentwaterresourceallocation
twodeltachangemethods [J]. Hydrology Research,
patternsintheSanjiangPlain ,northeastChina[J].Jour
2016,47(1):217238.
nalofHydrology :RegionalStudies,2022,42:101156.
[29]{f2, öD:, Å2, à. CMIP6 õ
[18]CHENGWenju,DONGFangying,TANGRuqian,etal.
<,å-LM4ß]^VWרXY[J]. <a<
Improvedcombinationweightedpredictionmodelofaquifer
¤o6K,2023,39(3):94103.
waterabundancebasedonacloudmodel[J].ACSOme
[30]TAYLORKE.Summarizingmultipleaspectsofmodelper
ga ,2022,7(40):3584035850.
formanceinasinglediagram[J].JournalofGeophysical
[19]LUANZhaoqing,LIUGuihua,BAIXing.Applicationof
Research:Atmospheres,2001,106(D7):71837192.
timeseriesmodeltopredictgroundwaterdynamicinSan
[31]WUNSCHA,LIESCHT,BRODAS.Groundwaterlevel
jiangPlain , northeastChina[J]. Wetland Science,
forecastingwithartificialneuralnetworks :acomparison
2011,9(1):4751.
oflongshorttermmemory (LSTM),convolutionalneural
[20]LIBinghua,BEAUDOINGH,RODELLM,etal.GL
networks(CNNs),andnonlinearautoregressivenet
DASCatchmentLandSurfaceModelL4daily0.25×0.25
workswithexogenousinput (NARX)[J].Hydrologyand
degreeGRACEDA1V2.2 [DB/OL].Greenbelt,Mary
EarthSystemSciences ,2021,25(3):16711687.
land ,USA:GoddardEarthSciencesDataandInformation
ServicesCenter(GESDISC),(20200225)[202303 ( ;<= 109 >)