VIAF

Virtual International Authority File

Search

Leader     00000nz a2200037n 45 0
001     WKP|Q57905001  (VIAF cluster)  (Authority/Source Record)
003     WKP
005     20241121000143.0
008     241121nneanz||abbn n and d
035 ‎‡a  (WKP)Q57905001‏
024 ‎‡a  0000-0003-0383-3852‏ ‎‡2  orcid‏
024 ‎‡a  35578689200‏ ‎‡2  scopus‏
035 ‎‡a  (OCoLC)Q57905001‏
100 0 ‎‡a  Luis Ribeiro‏ ‎‡c  researcher, ORCID id # 0000-0003-0383-3852‏ ‎‡9  en‏
375 ‎‡a  1‏ ‎‡2  iso5218‏
400 0 ‎‡a  Luis Ribeiro‏ ‎‡c  onderzoeker‏ ‎‡9  nl‏
670 ‎‡a  Author's Assessment of groundwater vulnerability in the Daule aquifer, Ecuador, using the susceptibility index method‏
670 ‎‡a  Author's Combining natural background levels (NBLs) assessment with indicator kriging analysis to improve groundwater quality data interpretation and management‏
670 ‎‡a  Author's Coverage methods for early groundwater contamination detection.‏
670 ‎‡a  Author's Current uses of ground penetrating radar in groundwater-dependent ecosystems research‏
670 ‎‡a  Author's Effect of the spatial variability of transmissivity on the groundwater flow and budget of the Takelsa multilayer aquifer, Tunisia‏
670 ‎‡a  Author's Exposure assessment of pesticides in a shallow groundwater of the Tagus vulnerable zone‏
670 ‎‡a  Author's Exposure assessment of pesticides in a shallow groundwater of the Tagus vulnerable zone (Portugal): a multivariate statistical approach (JCA).‏
670 ‎‡a  Author's Nitrate probability mapping in the northern aquifer alluvial system of the river Tagus‏
670 ‎‡a  Author's Nitrate probability mapping in the northern aquifer alluvial system of the river Tagus (Portugal) using Disjunctive Kriging.‏
670 ‎‡a  Author's Optimal estuarine sediment monitoring network design with simulated annealing‏
670 ‎‡a  Author's Optimization of the Operation of Large-Scale Multisource Water-Supply Systems‏
670 ‎‡a  Author's Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: a case study in an agricultural setting‏
670 ‎‡a  Author's Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: a case study in an agricultural setting (Southern Spain).‏
909 ‎‡a  (orcid) 0000000303833852‏ ‎‡9  1‏
909 ‎‡a  (scopus) 35578689200‏ ‎‡9  1‏
919 ‎‡a  assessmentofgroundwatervulnerabilityinthedauleaquiferecuadorusingthesusceptibilityindexmethod‏ ‎‡A  Assessment of groundwater vulnerability in the Daule aquifer, Ecuador, using the susceptibility index method‏ ‎‡9  1‏
919 ‎‡a  combiningnaturalbackgroundlevelsnblsassessmentwithindicatorkriginganalysistoimprovegroundwaterqualitydatainterpretationandmanagement‏ ‎‡A  Combining natural background levels (NBLs) assessment with indicator kriging analysis to improve groundwater quality data interpretation and management‏ ‎‡9  1‏
919 ‎‡a  coveragemethodsforearlygroundwatercontaminationdetection‏ ‎‡A  Coverage methods for early groundwater contamination detection.‏ ‎‡9  1‏
919 ‎‡a  currentusesofgroundpenetratingradaringroundwaterdependentecosystemsresearch‏ ‎‡A  Current uses of ground penetrating radar in groundwater-dependent ecosystems research‏ ‎‡9  1‏
919 ‎‡a  effectofthespatialvariabilityoftransmissivityonthegroundwaterflowandbudgetofthetakelsamultilayeraquifertunisia‏ ‎‡A  Effect of the spatial variability of transmissivity on the groundwater flow and budget of the Takelsa multilayer aquifer, Tunisia‏ ‎‡9  1‏
919 ‎‡a  exposureassessmentofpesticidesinashallowgroundwaterofthetagusvulnerablezone‏ ‎‡A  Exposure assessment of pesticides in a shallow groundwater of the Tagus vulnerable zone‏ ‎‡9  1‏
919 ‎‡a  exposureassessmentofpesticidesinashallowgroundwaterofthetagusvulnerablezoneportugalamultivariatestatisticalapproachjca‏ ‎‡A  Exposure assessment of pesticides in a shallow groundwater of the Tagus vulnerable zone (Portugal): a multivariate statistical approach (JCA).‏ ‎‡9  1‏
919 ‎‡a  nitrateprobabilitymappinginthenorthernaquiferalluvialsystemoftherivertagus‏ ‎‡A  Nitrate probability mapping in the northern aquifer alluvial system of the river Tagus‏ ‎‡9  1‏
919 ‎‡a  nitrateprobabilitymappinginthenorthernaquiferalluvialsystemoftherivertagusportugalusingdisjunctivekriging‏ ‎‡A  Nitrate probability mapping in the northern aquifer alluvial system of the river Tagus (Portugal) using Disjunctive Kriging.‏ ‎‡9  1‏
919 ‎‡a  optimalestuarinesedimentmonitoringnetworkdesignwithsimulatedannealing‏ ‎‡A  Optimal estuarine sediment monitoring network design with simulated annealing‏ ‎‡9  1‏
919 ‎‡a  optimizationoftheoperationoflargescalemultisourcewatersupplysystems‏ ‎‡A  Optimization of the Operation of Large-Scale Multisource Water-Supply Systems‏ ‎‡9  1‏
919 ‎‡a  predictivemodelingofgroundwaternitratepollutionusingrandomforestandmultisourcevariablesrelatedtointrinsicandspecificvulnerabilityacasestudyinanagriculturalsetting‏ ‎‡A  Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: a case study in an agricultural setting‏ ‎‡9  1‏
919 ‎‡a  predictivemodelingofgroundwaternitratepollutionusingrandomforestandmultisourcevariablesrelatedtointrinsicandspecificvulnerabilityacasestudyinanagriculturalsettingsouthernspain‏ ‎‡A  Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: a case study in an agricultural setting (Southern Spain).‏ ‎‡9  1‏
946 ‎‡a  b‏ ‎‡9  1‏
996 ‎‡2  PTBNP|1157088
996 ‎‡2  BLBNB|001503873
996 ‎‡2  DNB|1211008282
996 ‎‡2  ISNI|000000008000938X
996 ‎‡2  PTBNP|442906
996 ‎‡2  DNB|171362020
996 ‎‡2  LC|no2010082375
996 ‎‡2  PTBNP|1161465
996 ‎‡2  BLBNB|001070936
996 ‎‡2  DNB|1159110042
996 ‎‡2  DNB|135263468
996 ‎‡2  PTBNP|1806048
996 ‎‡2  DNB|1188596853
996 ‎‡2  ISNI|0000000095792637
996 ‎‡2  BLBNB|001495593
996 ‎‡2  NUKAT|n 2019208555
996 ‎‡2  PTBNP|262923
996 ‎‡2  SZ|1038795656
996 ‎‡2  PTBNP|76283
996 ‎‡2  ISNI|0000000437100320
996 ‎‡2  LC|no2016081851
996 ‎‡2  PTBNP|1410770
996 ‎‡2  DNB|1057386464
996 ‎‡2  LC|n 86148174
996 ‎‡2  SUDOC|082104549
996 ‎‡2  PTBNP|189757
996 ‎‡2  BLBNB|000584148
996 ‎‡2  BLBNB|000586365
996 ‎‡2  DNB|1157690688
996 ‎‡2  SUDOC|242698948
996 ‎‡2  PTBNP|1388096
996 ‎‡2  BLBNB|000210086
996 ‎‡2  ISNI|0000000068199272
996 ‎‡2  ISNI|0000000069994702
996 ‎‡2  ISNI|0000000040652928
996 ‎‡2  NUKAT|n 2017240387
996 ‎‡2  BLBNB|000482721
996 ‎‡2  SUDOC|267156014
996 ‎‡2  DNB|1056426136
996 ‎‡2  BNF|15088772
996 ‎‡2  PTBNP|1425721
996 ‎‡2  ISNI|0000000070232297
996 ‎‡2  BLBNB|001517920
996 ‎‡2  ISNI|0000000070612169
996 ‎‡2  PTBNP|1757229
996 ‎‡2  SUDOC|180251988
996 ‎‡2  NUKAT|n 2015185944
996 ‎‡2  ISNI|0000000066443876
996 ‎‡2  J9U|987007277243105171
996 ‎‡2  ISNI|000000010045318X
996 ‎‡2  DNB|1119173620
996 ‎‡2  ISNI|0000000068719717
996 ‎‡2  PTBNP|1446853
996 ‎‡2  ISNI|000000006878210X
996 ‎‡2  BLBNB|000316137
996 ‎‡2  LC|n 2008217152
996 ‎‡2  LC|n 2008217151
996 ‎‡2  PTBNP|1378127
996 ‎‡2  BLBNB|000617941
996 ‎‡2  BLBNB|000585730
996 ‎‡2  DNB|1047952831
996 ‎‡2  BLBNB|000488416
996 ‎‡2  ISNI|0000000070529285
996 ‎‡2  ISNI|0000000068490561
996 ‎‡2  PTBNP|1299798
996 ‎‡2  LC|n 2013012082
996 ‎‡2  LC|n 2004010818
996 ‎‡2  NKC|jo20241212025
996 ‎‡2  SUDOC|093669747
996 ‎‡2  PLWABN|9811791253805606
996 ‎‡2  ISNI|0000000114208134
996 ‎‡2  LC|no2002116238
996 ‎‡2  BLBNB|000441734
996 ‎‡2  ISNI|0000000073255603
996 ‎‡2  BLBNB|000451377
996 ‎‡2  ISNI|0000000024500916
996 ‎‡2  BLBNB|000456363
996 ‎‡2  LC|n 2021250388
996 ‎‡2  DNB|1184503648
996 ‎‡2  SUDOC|268288674
996 ‎‡2  PTBNP|1427937
996 ‎‡2  LC|no2010111981
996 ‎‡2  RERO|A027166985
996 ‎‡2  ISNI|0000000067995461
996 ‎‡2  ISNI|000000040165126X
996 ‎‡2  SUDOC|273851705
996 ‎‡2  SUDOC|200280856
996 ‎‡2  ISNI|0000000068178359
996 ‎‡2  DNB|1051631475
996 ‎‡2  SZ|1179210344
996 ‎‡2  LC|nr 97021679
996 ‎‡2  NUKAT|n 2020219869
996 ‎‡2  SUDOC|178728209
996 ‎‡2  DNB|1101474645
996 ‎‡2  BLBNB|000479792
996 ‎‡2  DNB|1060758423
996 ‎‡2  PTBNP|1696578
996 ‎‡2  PTBNP|1414068
996 ‎‡2  BLBNB|000307580
996 ‎‡2  DNB|1029769869
996 ‎‡2  PTBNP|61953
996 ‎‡2  ISNI|0000000035385124
996 ‎‡2  LC|no 00087495
996 ‎‡2  PTBNP|911449
996 ‎‡2  SUDOC|061561908
996 ‎‡2  PTBNP|1414289
996 ‎‡2  DNB|1101475609
996 ‎‡2  PLWABN|9810532797605606
996 ‎‡2  ISNI|0000000059101552
996 ‎‡2  DNB|1015006051
996 ‎‡2  BNCHL|10000000000000000049652
996 ‎‡2  ISNI|0000000012556744
996 ‎‡2  LC|n 2019250628
996 ‎‡2  DNB|1146961049
996 ‎‡2  PTBNP|274910
996 ‎‡2  PTBNP|1398352
996 ‎‡2  LC|no2007068483
996 ‎‡2  DNB|1187541885
996 ‎‡2  ISNI|0000000070007364
996 ‎‡2  BLBNB|000565364
996 ‎‡2  LC|n 85170173
996 ‎‡2  LC|n 83828623
996 ‎‡2  PTBNP|115496
996 ‎‡2  LC|no2002070374
996 ‎‡2  DNB|1056526920
996 ‎‡2  PTBNP|1198730
996 ‎‡2  BIBSYS|6013025
996 ‎‡2  LC|n 2023019642
996 ‎‡2  BIBSYS|13047835
996 ‎‡2  DNB|1238168337
996 ‎‡2  ISNI|0000000068217549
996 ‎‡2  ISNI|0000000070401388
996 ‎‡2  ISNI|0000000116079209
996 ‎‡2  LC|no 00008444
996 ‎‡2  PTBNP|108621
996 ‎‡2  LC|n 80042817
996 ‎‡2  ISNI|0000000069812825
996 ‎‡2  PTBNP|1489925
996 ‎‡2  PTBNP|1783930
996 ‎‡2  ISNI|0000000078183063
996 ‎‡2  LC|n 88130975
996 ‎‡2  DNB|120417448
996 ‎‡2  BLBNB|001124631
996 ‎‡2  BLBNB|000498176
996 ‎‡2  BNF|11887383
996 ‎‡2  ISNI|0000000057126916
996 ‎‡2  SUDOC|148317863
996 ‎‡2  PTBNP|1287068
996 ‎‡2  PTBNP|1414402
996 ‎‡2  ISNI|0000000040378463
996 ‎‡2  LC|n 86070883
996 ‎‡2  BLBNB|001479516
996 ‎‡2  SUDOC|137382278
996 ‎‡2  CAOONL|ncf11283960
996 ‎‡2  NUKAT|n 2015056574
996 ‎‡2  DNB|1015947719
996 ‎‡2  BLBNB|000332576
996 ‎‡2  BLBNB|000332574
996 ‎‡2  BLBNB|000233800
996 ‎‡2  LC|nb2022018137
996 ‎‡2  BLBNB|000993742
996 ‎‡2  BLBNB|000608768
996 ‎‡2  BLBNB|000608760
996 ‎‡2  BLBNB|000608764
996 ‎‡2  BLBNB|001522143
996 ‎‡2  DNB|1062099125
996 ‎‡2  LC|nb2019013671
996 ‎‡2  DNB|1226694373
996 ‎‡2  PTBNP|1554682
996 ‎‡2  NII|DA14642414
996 ‎‡2  ISNI|0000000068804284
996 ‎‡2  LC|no2013085153
996 ‎‡2  PTBNP|1405187
996 ‎‡2  PTBNP|1822715
996 ‎‡2  DNB|1037149297
996 ‎‡2  PTBNP|1874843
996 ‎‡2  B2Q|0000322547
996 ‎‡2  BLBNB|000332580
996 ‎‡2  LC|n 2023180279
996 ‎‡2  PTBNP|1187687
996 ‎‡2  LC|n 95920061
996 ‎‡2  DNB|1179210344
996 ‎‡2  NUKAT|n 2011211004
996 ‎‡2  ISNI|0000000108663501
996 ‎‡2  LC|nb2012014685
996 ‎‡2  DNB|1052253458
996 ‎‡2  LC|no 92024381
996 ‎‡2  ISNI|0000000085639137
996 ‎‡2  PTBNP|131352
996 ‎‡2  ISNI|0000000068001457
996 ‎‡2  BNF|12233056
996 ‎‡2  DNB|1038795656
996 ‎‡2  PTBNP|1796870
996 ‎‡2  JPG|500223059
996 ‎‡2  BLBNB|000471027
996 ‎‡2  LC|n 2009212731
996 ‎‡2  PTBNP|1184951
996 ‎‡2  BLBNB|000677898
996 ‎‡2  SUDOC|163775877
996 ‎‡2  PTBNP|1176929
996 ‎‡2  PTBNP|196794
996 ‎‡2  SUDOC|26181138X
996 ‎‡2  BNF|16929897
996 ‎‡2  SUDOC|272422940
996 ‎‡2  LC|n 2022250662
996 ‎‡2  ISNI|000000002851424X
996 ‎‡2  LC|n 83043864
996 ‎‡2  PTBNP|1514722
996 ‎‡2  ISNI|0000000077873468
996 ‎‡2  BLBNB|000290472
996 ‎‡2  LC|no2020050424
996 ‎‡2  PTBNP|1348182
996 ‎‡2  ISNI|0000000069923154
996 ‎‡2  BLBNB|000332546
996 ‎‡2  PTBNP|95880
996 ‎‡2  RERO|A009097258
996 ‎‡2  BLBNB|000511125
996 ‎‡2  ISNI|0000000409404845
996 ‎‡2  NTA|132777509
996 ‎‡2  RERO|A013604250
996 ‎‡2  LC|n 98020234
996 ‎‡2  PTBNP|1713046
996 ‎‡2  LC|no2013004813
996 ‎‡2  ISNI|0000000072498304
996 ‎‡2  LC|no2009182879
996 ‎‡2  BLBNB|001494163
996 ‎‡2  NII|DA14541326
996 ‎‡2  ISNI|0000000066420615
996 ‎‡2  BLBNB|000572241
996 ‎‡2  ISNI|0000000078795908
996 ‎‡2  ISNI|0000000399929989
996 ‎‡2  PTBNP|1819165
996 ‎‡2  NII|DA18133332
996 ‎‡2  PTBNP|1558931
996 ‎‡2  DNB|134223535
996 ‎‡2  ISNI|0000000078182028
996 ‎‡2  PTBNP|1341894
996 ‎‡2  PTBNP|239993
996 ‎‡2  BLBNB|000348967
996 ‎‡2  CAOONL|ncf10918748
996 ‎‡2  BIBSYS|1492758307866
996 ‎‡2  BNCHL|10000000000000000254207
996 ‎‡2  BNF|17935628
996 ‎‡2  ISNI|0000000364052080
996 ‎‡2  PTBNP|1313938
996 ‎‡2  SUDOC|136938507
996 ‎‡2  BLBNB|000912001
996 ‎‡2  SUDOC|081283091
996 ‎‡2  BNF|16155830
996 ‎‡2  J9U|987007371626905171
997 ‎‡a  0 0 lived 0 0‏ ‎‡9  1‏