American Society of Civil Engineers 2000: Vol 5 Index

9 Pages·2000·3.6 MB·English

AGGREGATION 2000 ANNUAL INDEX
SUBJECT INDEX
Aggregation Climatic changes Overlapping Control Volume Method for Solute Trans
Rainfall Disaggregation Using Artificial Neural Net Characterization of Drought across Climatic Spectrum, port, Atul Kumar Verma, S. Murty Bhallamudi and V
rks, Steven J. Burian, S. Rocky Durrans, SaSa Tom Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan, Eswaran, HE July 00, p308-316
10. R9r u2s9s9el-l3 07 L. Pimmel and Chung Ngai Wai, HE July Linear Air/Water Temperature Correlations for Streams DTirsatnrsimbuuttiinogn fSuynnctthieotnics Unit Hydrographs into Gamma
Agricultural wastes during Open Water Periods, Troy R. Erickson and Distribution, Sushil K. Singh, HE Oct. 00, p380-385
Neural Networks for Agrichemical Vulnerability Assess Heinz G. Stefan, HE July 00, p317-321
ment of Rural Private Wells, Chittaranjan Ray and Kris Climatic data Distribution patterns
K. Klindworth, HE Apr. 00, p162-171 Assessing Hydrologic Drought Risk Using Simplified Tall Tales about Tails of Hydrological Distributions. 1,
Air temperature Climate Model, Michael L. Anderson, M. Levent Kav Vit KlemeS, P.E., HE July 00, p227-231
near Air/Water Temperature Correlations for Streams vas and Michael D. Mierzwa, HE Oct. 00, p393-401 Drainage
luring Open Water Periods, Troy R. Erickson and Climatology Representation of Snow in Urban Drainage Models, An-
Heinz G. Stefan, HE July 00, p317-321 Assessing Hydrologic Drought Risk Using Simplified nette F. Semddeni-Davies, HE Oct. 00, p363-370
Algorithms Cvalsi maatnde MMiocdheale,l MDi.c hMaieelr zwLa., AnHdEer sOocnt., 0M0., pL3e9ve3n-t4 01K av Drainage basins
Novel System for Automatic Pavement Distress Detec Application of Diffusion Processes to Runoff Estimation,
io<n>, H. D. Cheng and M. Miyojim, CP July 98, p145 Coastal environment Richard Labib, Mario Lefebvre, Joseph Ribeiro, Jean
Optimization Based Solution of Density Dependent Sea- Rousselle and Hau Ta Trung, HE Jan. 00, p1-7
Aquifers water Intrusion in Coastal Aquifers, Amlan Das and
Bithin Datta, HE Jan. 00, p82-89 Drainage systems
Explicit Aquifer Diffusivity Estimation Using Linearly
Varying Stream Stage, Chandra Shekhar P. Ojha, HE Comparative studies Moments of Runoff Coefficient and Peak Discharge Esti
Apr. 00, p218-221 mation in Urban Catchments, Gianfranco Becciu and
Performance Evaluation of Artificial Neural Networks for Alessandro Paoletti, HE Apr. 00, p197-205
Optimization Based Solution of Density Dependent Sea Runoff Prediction, Amin Elshorbagy, S. P. Simonovic
water Intrusion in Coastal Aquifers, Amlan Das and P.E. and U. S. Panu, P.E., HE Oct. 00, p424-427 Droughts
3ithin Datta, HE Jan. 00, p82-89 Computers Assessing Hydrologic Drought Risk Using Simplified
Arid lands Editorial, R. S. Govindaraju and A. Ramachandra Rao, Cvalsi maatned MMiocdheale,l MDi.c hMaieelr zwL.a ,A nHdEer sOocnt., 0M0., pL3e9ve3n-t4 01K av
\ppl 1 of Gamma Autoregressive Model to Analysis HE July 00, p225-226
f Dry Periods, Hikmet Kerem Cigizoglu and M Characterization of Drought across Climatic Spectrum,
Bayazit, HE July 98, p218-221 Conservation Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan,
Channel Infiltration in Solitario Canyon, Yucca Moun- Conservation Equations for Ground-Water Velocity in
tiainnd, GNoervdaodna , W. DaWviitdt meyAe. r,W oolHhEi seJru,l y 0S0t, uarpt2 40A-. 24S9t othoff GAeprn.e ra00l, Cpo2n0d6i-t2io1n6s , A. Karakas and M. L. Kavvas, HE Droeuntg htH ydOrcocluorgriecn ceP roPcreosbsaebsi,l itCihese n-ahnuda RiCshkus ngo f aDnedp eJnods e
Autocorrelation Contaminants D. Salas, HE July 00, p259-268
Application of Gamma Autoregressive Model to Analysis Contaminant Source Solutions with Scale-Dependent Regional Drought Analysis Based on Neural Networks,
Dry Periods, Hikmet Kerem Cigizoglu and M Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275 Hyun-Suk Shin and Jose D. Salas, HE Apr. 00, p145-
Bayazit, HE July 98 p218 221 Estimation of Harmonic Mean of Lognormal Variable, 155
James F. Limbrunner, Richard M. Vogel and Linfield
Automation C. Brown, HE Jan. 00, p59-66 Efficiency
Novel System for Automatic Pavement Distress Detec Neural Networks for Agrichemical Vulnerability Assess- Entropy-Based Assessment of Water Quality Monitoring
tion, H. D. Cheng and M. MiyojiCPm J,u ly 98, p145 ment of Rural Private Wells, Chittaranjan Ray and Kris Networks, Sevinc Ozkul, Nilgun Harmancioglu and
K. Klindworth, HE Apr. 00, p162-171 Vijay P. Singh, HE Jan. 00, p90-100
Auto-regressive models Solving 3D Subsurface Flow and Transport with Adap- Egypt
Application of Gamma Autoregressive Model to Analysis tive Multigrid, Ming-Hsu Li, Hwai-Ping Cheng and Improving Forecasts of Nile Flood Using SST Inputs in
f Dry Periods, Hikmet Kerem Cifizoglu and M Gour-Tsyh Yeh, HE Jan. 00, p74-81 TFN Model, A. G. Awadallah and J. Rousselle, HE
Bayazit, HE July 98, p218-221 Cost effectiveness Oct. 00, p37 1-379
Auto-regressive moving-average model Entropy-Based Assessment of Water Quality Monitoring Empirical equations
Drought Occurrence Probabilities and Risks of Depend Networks, Sevinc Ozkul, Nilgun Harmancioglu and Conservation Equations for Ground-Water Velocity in
nt Hydrologic Processes, Chen-hua Chung and Jose Vijay P. Singh, HE Jan. 00, p90-100 General Conditions, A. Karakas and M. L. Kavvas, HE
D. Salas, HE July 00, p259-268 Curve fitting Apr. 00, p206-216
Base flow Setting Up Stage-Discharge Relations Using ANN, S. K Tall Tales about Tails of Hydrological Distributions. |
Multivariate Technique for Baseflow Separation Using Jain and D. Chalisgaonkar, HE Oct. 00, p428-433 Vit KlemeS, P.E., HE July 00, p227-231
tWaagtheirm i, QuBa. liPteyt/rQauuasnktaist y and DaMt.a , AlS.- SmaSdhiu,k la,H E S.A pr.M o0s0 , Decision making Entropy
pl 72-179 Skew-Dependent Detection of Change of Central Ten- Entropy-Based Assessment of Water Quality Monitoring
dency in Hydrologic Data, Benjamin S. Levy and Networks, Sevinc Ozkul, Nilgun Harmancioglu and
Basins Richard H. McCuen, HE Jan. 00, p43-51 Vijay P. Singh, HE Jan. 00, p90-100
Effeincgt, s D.o f M.U nSsuamtnuerra,te d D.Z onEe. Roonl stGorno uanndd- WaM.t erA . MMaoruinfido-, Diffusion Ephemeral streams
HE Jan. 99, p65-69 Application of Diffusion Processes to Runoff Estimation, Channel Infiltration in Solitario Canyon, Yucca Moun-
SedFiermreon t and DePlaiovleor y PortDoi,s trHiEb utOecdt. 0(0S, EDp4D1) 1-4M2o2d el, Vito RRoiucshsaerldl e Laabnidb , HaMua rTiao TLreufnegb,v reH,E JJaons. ep0h0 , Rpi1b-e7i ro, Jean taanidn , GoNervdaodna , W. DaWviitdt meAy.e rW,o olHhEi sJeurl,y 0S0t,u arpt2 40A.- 24S9t othoff
Case reports Diffusivity Error analysis
Explicit Aquifer Diffusivity Estimation Using Linearly
Using GIS to Determine Extent of Gauged Streams in a Varying Stream Stage, Chandra Shekhar P. Ojha, HE Performance Evaluation of Artificial Neural Networks for
RAepgri on0,0 Gplle9n0n 1E.9 6 Moglen and R. Edward Beighley, HE Apr. 00, p218-221 RP.uEn.o fafn d PrUe. diSc.t iPoann,u , AmPi.En. , EHlEs hoOrctb.a gy0,0 , Sp. 42P.4 -S4i2m7o novic,
Digital terrain model
Catchments Using GIS to Determine Extent of Gauged Streams in a Estimation
Moments of Runoff Coefficient and Peak Discharge Esti- Region, Glenn E. Moglen and R. Edward Beighley, HE Estimation of Harmonic Mean of Lognormal Variable,
mation in Urban Catchments, Gianfranco Becciu and Apr. 00, p1 90-196 James F. Limbrunner, Richard M. Vogel and Linfield
Alessandro Paoletti, HE Apr. 00, p197-205 C. Brown, HE Jan. 00, p59-66.
Regional Flood Formulas for Seven Subzones of Zone 3 Discharge
of India, Rakesh Kumar, R. D. Singh and S. M. Seth Moments of Runoff Coefficient and Peak Discharge Esti- Evolutionary computation
HE July 99, p240-244 mation in Urban Catchments, Gianfranco Becciu and Enhancements to Genetic Algorithm for Optimal
Transmuting Synthetic Unit Hydrographs into Gamma Alessandro Paoletti, HE Apr. 00, p197-205 Ground-Water Management, Jahangir Morshed and
Distribution, Sushil K. Singh, HE Oct. 00, p380-385 Setting Up Stage-Discharge Relations Using ANN, S. K Jagath J. Kaluarachchi, HE Jan. 00, p67-73
Characteristics Jain and D. Chalisgaonkar, HE Oct. 00, p428-433 Finite differences
Characterization of Drought across Climatic Spectrum, Discharge measurement Analysis of Muskingum Equation Based Flood Routing
Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan, Evaluation of Peak Discharge Transposition, Richard H Schemes, John J. Gelegenis and Sergio E. Serrano, HE
HE Apr. 00, p222-224 McCuen and Benjamin S. Levy, HE July 00, p278- Jan. 00, p102-105
289
Classification Flash floods
Classification of River Basins Using Artificial Neural Dispersion Characterization of Flash Floods in Eastern Kentucky,
Network, B. S. Thandaveswara and N. Sajikumar, HE Contaminant Source Solutions with Scale-Dependent Nageshwar R. Bhaskar, Mark N. French and George
July 0O p290 298 Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275 K. Kyiamah, HE July 00, p327-331
440
AGGREGATION 2000 ANNUAL INDEX
SUBJECT INDEX
Aggregation Climatic changes Overlapping Control Volume Method for Solute Trans
Rainfall Disaggregation Using Artificial Neural Net Characterization of Drought across Climatic Spectrum, port, Atul Kumar Verma, S. Murty Bhallamudi and V
rks, Steven J. Burian, S. Rocky Durrans, SaSa Tom Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan, Eswaran, HE July 00, p308-316
10. R9r u2s9s9el-l3 07 L. Pimmel and Chung Ngai Wai, HE July Linear Air/Water Temperature Correlations for Streams DTirsatnrsimbuuttiinogn fSuynnctthieotnics Unit Hydrographs into Gamma
Agricultural wastes during Open Water Periods, Troy R. Erickson and Distribution, Sushil K. Singh, HE Oct. 00, p380-385
Neural Networks for Agrichemical Vulnerability Assess Heinz G. Stefan, HE July 00, p317-321
ment of Rural Private Wells, Chittaranjan Ray and Kris Climatic data Distribution patterns
K. Klindworth, HE Apr. 00, p162-171 Assessing Hydrologic Drought Risk Using Simplified Tall Tales about Tails of Hydrological Distributions. 1,
Air temperature Climate Model, Michael L. Anderson, M. Levent Kav Vit KlemeS, P.E., HE July 00, p227-231
near Air/Water Temperature Correlations for Streams vas and Michael D. Mierzwa, HE Oct. 00, p393-401 Drainage
luring Open Water Periods, Troy R. Erickson and Climatology Representation of Snow in Urban Drainage Models, An-
Heinz G. Stefan, HE July 00, p317-321 Assessing Hydrologic Drought Risk Using Simplified nette F. Semddeni-Davies, HE Oct. 00, p363-370
Algorithms Cvalsi maatnde MMiocdheale,l MDi.c hMaieelr zwLa., AnHdEer sOocnt., 0M0., pL3e9ve3n-t4 01K av Drainage basins
Novel System for Automatic Pavement Distress Detec Application of Diffusion Processes to Runoff Estimation,
io<n>, H. D. Cheng and M. Miyojim, CP July 98, p145 Coastal environment Richard Labib, Mario Lefebvre, Joseph Ribeiro, Jean
Optimization Based Solution of Density Dependent Sea- Rousselle and Hau Ta Trung, HE Jan. 00, p1-7
Aquifers water Intrusion in Coastal Aquifers, Amlan Das and
Bithin Datta, HE Jan. 00, p82-89 Drainage systems
Explicit Aquifer Diffusivity Estimation Using Linearly
Varying Stream Stage, Chandra Shekhar P. Ojha, HE Comparative studies Moments of Runoff Coefficient and Peak Discharge Esti
Apr. 00, p218-221 mation in Urban Catchments, Gianfranco Becciu and
Performance Evaluation of Artificial Neural Networks for Alessandro Paoletti, HE Apr. 00, p197-205
Optimization Based Solution of Density Dependent Sea Runoff Prediction, Amin Elshorbagy, S. P. Simonovic
water Intrusion in Coastal Aquifers, Amlan Das and P.E. and U. S. Panu, P.E., HE Oct. 00, p424-427 Droughts
3ithin Datta, HE Jan. 00, p82-89 Computers Assessing Hydrologic Drought Risk Using Simplified
Arid lands Editorial, R. S. Govindaraju and A. Ramachandra Rao, Cvalsi maatned MMiocdheale,l MDi.c hMaieelr zwL.a ,A nHdEer sOocnt., 0M0., pL3e9ve3n-t4 01K av
\ppl 1 of Gamma Autoregressive Model to Analysis HE July 00, p225-226
f Dry Periods, Hikmet Kerem Cigizoglu and M Characterization of Drought across Climatic Spectrum,
Bayazit, HE July 98, p218-221 Conservation Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan,
Channel Infiltration in Solitario Canyon, Yucca Moun- Conservation Equations for Ground-Water Velocity in
tiainnd, GNoervdaodna , W. DaWviitdt meyAe. r,W oolHhEi seJru,l y 0S0t, uarpt2 40A-. 24S9t othoff GAeprn.e ra00l, Cpo2n0d6i-t2io1n6s , A. Karakas and M. L. Kavvas, HE Droeuntg htH ydOrcocluorgriecn ceP roPcreosbsaebsi,l itCihese n-ahnuda RiCshkus ngo f aDnedp eJnods e
Autocorrelation Contaminants D. Salas, HE July 00, p259-268
Application of Gamma Autoregressive Model to Analysis Contaminant Source Solutions with Scale-Dependent Regional Drought Analysis Based on Neural Networks,
Dry Periods, Hikmet Kerem Cigizoglu and M Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275 Hyun-Suk Shin and Jose D. Salas, HE Apr. 00, p145-
Bayazit, HE July 98 p218 221 Estimation of Harmonic Mean of Lognormal Variable, 155
James F. Limbrunner, Richard M. Vogel and Linfield
Automation C. Brown, HE Jan. 00, p59-66 Efficiency
Novel System for Automatic Pavement Distress Detec Neural Networks for Agrichemical Vulnerability Assess- Entropy-Based Assessment of Water Quality Monitoring
tion, H. D. Cheng and M. MiyojiCPm J,u ly 98, p145 ment of Rural Private Wells, Chittaranjan Ray and Kris Networks, Sevinc Ozkul, Nilgun Harmancioglu and
K. Klindworth, HE Apr. 00, p162-171 Vijay P. Singh, HE Jan. 00, p90-100
Auto-regressive models Solving 3D Subsurface Flow and Transport with Adap- Egypt
Application of Gamma Autoregressive Model to Analysis tive Multigrid, Ming-Hsu Li, Hwai-Ping Cheng and Improving Forecasts of Nile Flood Using SST Inputs in
f Dry Periods, Hikmet Kerem Cifizoglu and M Gour-Tsyh Yeh, HE Jan. 00, p74-81 TFN Model, A. G. Awadallah and J. Rousselle, HE
Bayazit, HE July 98, p218-221 Cost effectiveness Oct. 00, p37 1-379
Auto-regressive moving-average model Entropy-Based Assessment of Water Quality Monitoring Empirical equations
Drought Occurrence Probabilities and Risks of Depend Networks, Sevinc Ozkul, Nilgun Harmancioglu and Conservation Equations for Ground-Water Velocity in
nt Hydrologic Processes, Chen-hua Chung and Jose Vijay P. Singh, HE Jan. 00, p90-100 General Conditions, A. Karakas and M. L. Kavvas, HE
D. Salas, HE July 00, p259-268 Curve fitting Apr. 00, p206-216
Base flow Setting Up Stage-Discharge Relations Using ANN, S. K Tall Tales about Tails of Hydrological Distributions. |
Multivariate Technique for Baseflow Separation Using Jain and D. Chalisgaonkar, HE Oct. 00, p428-433 Vit KlemeS, P.E., HE July 00, p227-231
tWaagtheirm i, QuBa. liPteyt/rQauuasnktaist y and DaMt.a , AlS.- SmaSdhiu,k la,H E S.A pr.M o0s0 , Decision making Entropy
pl 72-179 Skew-Dependent Detection of Change of Central Ten- Entropy-Based Assessment of Water Quality Monitoring
dency in Hydrologic Data, Benjamin S. Levy and Networks, Sevinc Ozkul, Nilgun Harmancioglu and
Basins Richard H. McCuen, HE Jan. 00, p43-51 Vijay P. Singh, HE Jan. 00, p90-100
Effeincgt, s D.o f M.U nSsuamtnuerra,te d D.Z onEe. Roonl stGorno uanndd- WaM.t erA . MMaoruinfido-, Diffusion Ephemeral streams
HE Jan. 99, p65-69 Application of Diffusion Processes to Runoff Estimation, Channel Infiltration in Solitario Canyon, Yucca Moun-
SedFiermreon t and DePlaiovleor y PortDoi,s trHiEb utOecdt. 0(0S, EDp4D1) 1-4M2o2d el, Vito RRoiucshsaerldl e Laabnidb , HaMua rTiao TLreufnegb,v reH,E JJaons. ep0h0 , Rpi1b-e7i ro, Jean taanidn , GoNervdaodna , W. DaWviitdt meAy.e rW,o olHhEi sJeurl,y 0S0t,u arpt2 40A.- 24S9t othoff
Case reports Diffusivity Error analysis
Explicit Aquifer Diffusivity Estimation Using Linearly
Using GIS to Determine Extent of Gauged Streams in a Varying Stream Stage, Chandra Shekhar P. Ojha, HE Performance Evaluation of Artificial Neural Networks for
RAepgri on0,0 Gplle9n0n 1E.9 6 Moglen and R. Edward Beighley, HE Apr. 00, p218-221 RP.uEn.o fafn d PrUe. diSc.t iPoann,u , AmPi.En. , EHlEs hoOrctb.a gy0,0 , Sp. 42P.4 -S4i2m7o novic,
Digital terrain model
Catchments Using GIS to Determine Extent of Gauged Streams in a Estimation
Moments of Runoff Coefficient and Peak Discharge Esti- Region, Glenn E. Moglen and R. Edward Beighley, HE Estimation of Harmonic Mean of Lognormal Variable,
mation in Urban Catchments, Gianfranco Becciu and Apr. 00, p1 90-196 James F. Limbrunner, Richard M. Vogel and Linfield
Alessandro Paoletti, HE Apr. 00, p197-205 C. Brown, HE Jan. 00, p59-66.
Regional Flood Formulas for Seven Subzones of Zone 3 Discharge
of India, Rakesh Kumar, R. D. Singh and S. M. Seth Moments of Runoff Coefficient and Peak Discharge Esti- Evolutionary computation
HE July 99, p240-244 mation in Urban Catchments, Gianfranco Becciu and Enhancements to Genetic Algorithm for Optimal
Transmuting Synthetic Unit Hydrographs into Gamma Alessandro Paoletti, HE Apr. 00, p197-205 Ground-Water Management, Jahangir Morshed and
Distribution, Sushil K. Singh, HE Oct. 00, p380-385 Setting Up Stage-Discharge Relations Using ANN, S. K Jagath J. Kaluarachchi, HE Jan. 00, p67-73
Characteristics Jain and D. Chalisgaonkar, HE Oct. 00, p428-433 Finite differences
Characterization of Drought across Climatic Spectrum, Discharge measurement Analysis of Muskingum Equation Based Flood Routing
Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan, Evaluation of Peak Discharge Transposition, Richard H Schemes, John J. Gelegenis and Sergio E. Serrano, HE
HE Apr. 00, p222-224 McCuen and Benjamin S. Levy, HE July 00, p278- Jan. 00, p102-105
289
Classification Flash floods
Classification of River Basins Using Artificial Neural Dispersion Characterization of Flash Floods in Eastern Kentucky,
Network, B. S. Thandaveswara and N. Sajikumar, HE Contaminant Source Solutions with Scale-Dependent Nageshwar R. Bhaskar, Mark N. French and George
July 0O p290 298 Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275 K. Kyiamah, HE July 00, p327-331
440
SUBJECT INDEX MATRICES, MATHEMATICS
Flood forecasting Grid systems Hydrologic properties
Application of Gray and Fuzzy Methods for Rainfall Grid-Size Effects on Surface Runoff Modeling, D. K Classification of River Basins Using Artificial Neural
Fe asting, Pao-Shan Yu and Chia-Jung Chen, HI Molnar and P. Y. Julien, HE Jan. 00, p8-16 Network, B. S. Thandaveswara and N. Sajikumar, HE
p339-345 July OO p290 298
of Peak Discharge Transposition, Richard H Ground water
and Benjamin S. Levy, HE July 00, p278 Overlapping Control Volume Method for Solute Trans Hydrology
port, Atul Kumar Verma, S. Murty Bhallamudi and V Artificial Neural Networks in Hydrology. I: Preliminary
In ng Fx ists Of Nile Flood Using SST Inputs in Eswaran, HE July 00, p308-316 Concepts, ASCE Task Committee on Application of
9 G. Awadallah and J. Rousselle, HI Ground-water flow GAorvtiifnidcaiarla ju,N eurcahlmn .),N etHwEo rkAsp r. i0n 0, Hpy1d r1o5l-o1g2y3, (Rao S
NEXRAD Rnta, darB rifaonr FC.l oodHo blPirt,e dicDtiaownn inC . HouGsltaodnw,e ll Phialnidp Conservea0rt0ai lo np 2Co0n6Ed qitui2ao1tn6si ,o ns A. fKora raGkraos unadn-dW aMt.e rL . KVaevlvoacsi,t y HEi n ArtiAfpipcilailc atNieounrsa,l ANSetCwEo rkTsa ski n CHoymdmrioltotgeye. onIl : AHpypdlrioclaotgiiocn
Vieux, HE July 00, p269-277 of Artificial Neural Networks in Hydrology, (Rao S
Optimization Based Solution of Density Dependent Sea Govindaraju, chmn.), HE Apr. 00, p124-137
Flood frequency vater Intrusion in Coastal Aquifers, Amlan Das and Channel Infiltration in Solitario Canyon, Yucca Moun-
ional Flood Formulas for Seven Subz« Bithin Datta, HE Jan. 00, p82-89 tain, Nevada, David A. Woolhiser, Stuart A. Stothoff
f Ir *sh Kumar, R. D. Singh SHETRAN: Distributed River Basin Flow and Transport and Gordon W. Wittmeyer, HE July 00, p240-249
Modeling System, John Ewen, Geoff Parkin and Pa Drought Occurrence Probabilities and Risks of Depend
Flood peaks trick Enda O'Connell, HE July 00, p250-258 ent Hydrologic Processes, Chen-hua Chung and Jose
Characterization of Flash Floods Ground-water management D. Salas, HE July 00, p259-268
Jageshwar R. Bhaskar, Mark Enhancements to Genetic Algorithm for Optimal Editorial, R. S. Govindaraju and A. Ramachandra Rao
K. Kyiamah, HE July 00, p327 Ground-Water Management, Jahangir Morshed and HE July 00, p225-226
Flood plains Jagath J. Kaluarachchi, HE Jan. 00, p67-73 Tales about Tails of Hydrological Distributions. 1,
Nonkit tic Effects in Storm Hy gray Ground-water mounding Vit KlemeS, P.E., HE July 00, p227-231
Crago and S. Mark Richard I of Unsaturated Zone on Ground-Water Mound Tall Tales about Tails of Hydrological Distributions. II
M. Sumner, D. E. Rolston and M. A. Marifio Vit KlemeS, P.E., HE July 00, p232-239
Flood routing Q9 p6d 69 Hysteresis
f Muskingum Equation Based Flood Routing Ground-water pollution Setting Up Stage-Discharge Relations Using ANN, S. K
10, s,p 10J2oh-n1 05J. Gelegenis and Sergio E. Serrano, HE Contaminant Source Solutions with Scale-Dependent Jain and D. Chalisgaonkar, HE Oct. 00, p428-433
nkinematic Effects in Storm Hydrograph Routing Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275 Image analysis
Richard D. Crago and S. Mark Richards, HE July O6 Guidelines Novel System for Automatic Pavement Distress Detec
tion, H. D. Cheng and M. Miyojim, CP July 98, pi45
Representation of Snow in Urban Drainage Models, An 152
nette F. Semadeni-Davies, HE Oct. 00, p363-370
tlic Vulnerability of Elementary Urban Ce Homogeneity India
10it Hingray, Bernard Cappelaere, Christophe Bou Regional Flood Formulas for Seven Subzones of Zone 3
r and Michel Desbordes, HE Oct. 00, p402-410 lassification of River Basins Using Artificial Neural of India, Rakesh Kumar, R. D. Singh and S. M. Seth
Floods JNuu leyt wor0k0., pp22 B9. 0-S2. 2 98T handaveswara and N. Sajikumar, HEI HE July 99, p240-244
Nonkinematic Effects in Storm Hydrograph Hydraulic conductivity Infiltration
Richard D. Crago and S. Mark Richards, HI hannel Infiltration in Solitario Canyon, Yucca Moun
6 Conservation Equations for Ground-Water Velocity in tain, Nevada, David A. Woolhiser, Stuart A. Stothoff
Flow patterns GAeprn. er0a0,l p2Co0n6d-it2i1o6ns , A. Karakaasn d M. L. Kavvas, HI and Gordon W. Wittmeyer, HE July 00, p240-249
Hybrid Stochastic Model for Daily Flows Simulation in ffects of Unsaturated Zone on Ground-Water Mound
Semiarid Climates, N. D. Evora and J. Rousselle, HI Hydraulic properties ing, D. M. Sumner, D. E. Rolston and M. A. Marifio
Hydraulic Vulnerability of Elementary Urban Cell HE Jan. 99, p65-69
Benoit Hingray, Bernard Cappelaere, Christophe Bou Model to Simulate Rainfall Excess Patterns on Randomly
Flow rates *r and Michel Desbordes, HE Oct. 00, p402-410 Heterogeneous Areas, R. E. Smith and D. C. Goodrich,
Multivariate Technique for Baseflow Separation Usin HE Oct. 00, p355-362
Water Quality/Quantity Data, S. Shukla, S. Mos Hydraulics
taghimi, B. Petrauskas and M. Al-Smadi, HE Apr. 00 Nonkinematic Effects in Storm Hydrograph Routing, Interfaces
pi/e-t/9 Richard D. Crago and S. Mark Richards, HE July 00, Explicit Aquifer Diffusivity Estimation Using Linearly
p323 326 Varying Stream Stage, Chandra Shekhar P. Ojha, HE
Flow simulation Apr. 00, p218-221
Hybrid Stochastic Model for Daily Flows Simulation in Hydrographs
Semiarid Climates, N. D. Evora and J. Rousselle, HI Characterization of Flash Floods in Eastern Kentucky Kriging
p32-42 yar R. Bhaskar, Mark N. French and George Spatial Analysis of Remotely Sensed Soil Moisture Data,
Forecasting iamah, HE July 00, p327-331 Dp3e8e6p th3a9 2 Thattai and Shafiqul Islam, HE Oct. 00,
| ation of Diffusion Processes to Runoff Estimation Daily Streamflow Simulation Using Recession Character
Richard Labib, Mario Lefebvre, Joseph Ribeiro, Jean 10, N. p17T.- 24K ottegoda, L. Natale and E. Raiteri, HE Linear analysis
Rousselle and Hau Ta Trung, HE Jan. 00, p1-7 Analysis of Muskingum Equation Based Flood Routing
pli yf Gray and Fuzzy Methods for Rainfall Effect of Wind on Precipitation Intercepted by Steep Schemes, John J. Gelegenis and Sergio E. Serrano, HE
ywecasting, Pao-Shan Yu and Chia-Jung Chen, HE Mountain Slopes, Stefano Orlandini and Alberto Lam Jan. 00, p102-105
Oct. 00. 9339-345 berti, HE Oct. 00, p346-354 Explicit Aquifer Diffusivity Estimation Using Linearly
Hydrological Forecasting Using Neural Networks, Konda Multivariate Technique for Baseflow Separation Using Varying Stream Stage, Chandra Shekhar P. Ojha, HE
Thirumalaiah and Makarand C. Deo, HE Apr. 00 Water Quality/Quantity Data, S. Shukla, S. Mos Apr. 00, p218-221
180-189 taghimi, B. Petrauskas and M. Al-Smadi, HE Apr. 00
p172-179 Linear Air/Water Temperature Correlations for Streams
Frequency analysis during Open Water Periods, Troy R. Erickson and
Tall Tales about Tails of Hydrological Distribution Hydrologic data Heinz G. Stefan, HE July 00, p317-321
Vit KlemeS, P.E., HE July 00, p227-231 Application of Diffusion Processes to Runoff Estimation Mapping
TalVl it TaKlleesm eSa,b outP. E., TailHsE ofJ ulyH yd0r0o,l opg2i3c2a-l2 39D istributions. I RRoiucshsaerldl e Laabnidb, HaMua riToa TLreufnegb,v reH, E JJaons. ep0h0, Rpi1b-e7ir o, Jean ArtCiofincciealp tsN,e uraAlS CEN etwToarskk s Coinm mHiytdtreoel ogyo.n AIp: plPircealtiimoinn aryof
Fuzzy sets Artificial Neural Networks in Remote Sensing of Hydro Artificial Neural Networks in Hydrology, (Rao S
logic Processes, Shafiqul Islam and Ravi Kothari, HE Govindaraju, chmn.), HE Apr. 00, p1 15-123
Application of Gray and Fuzzy Methods for Rainfall Apr. 00, pl 38-144
Forecasting, Pao-Shan Yu and Chia-Jung Chen, HI Maryland
Oct. 00, p339-345 Skedewn-cDye peinn deHnytd rolDoegtiecct ionD atao,f CBheannjgaem ino f SC. entLreavly Taennd Using GIS to Determine Extent of Gauged Streams in a
Gaging stations Richard H.M cCuen, HE Jan. 00, p43-51 RAepgri on0,0 , Gplle9n0n 1E.9 6 Moglen and R. Edward Beighley, HE
Evaluation of Peak Discharge Transposition, Richard H
McCuen and Benjamin S. Levy, HE July 00, p278 Hydrologic models Mathematical models
R89 Grid-Size Effects on Surface Runoff Modeling, D. K
Molnar and P. Y. Julien, HE Jan. 00, p8-16 Tall Tales about Tails of Hydrological Distributions. 1,
Gamma function Vit KlemeS, P.E., HE July 00, p227-231
TraDinsstmruitbuitnigo n, SySnutshheitli c K. UnSiit ngHhy,dHr Eo gOrcat.p hs00 , ipn3to8 0-G3a8m5 ma NEBBX.a xRtABeerDd i eEn. tR,a daVriBe urx,i faonr HEFC .l oJoudHlyo blP0i0rt,,e dipc2Dt6ia9own-n 2 7i7nC . HoGusltaodnw,e ll Phialnidp TalVl it TaKlleesm e§a,b outP .E.T,a ilHsE oJf ulyH yd0r0,o lopg2i3c2a-l2 39D istributions. I],
Geographic information systems Rainfall Disaggregation Using Artificial Neural Net Matrices, mathematics
Using GIS to Determine Extent of Gauged Streams in a works, Steven J. Burian, S.R ocky Durrans, SaSa Tom Solving 3D Subsurface Flow and Transport with Adap
Region, Glenn E. Mogien and R. Edward Beighley, HE i¢, Russell L. Pimmel and Chung Ngai Wai, HE July tive Multigrid, Ming-Hsu Li, Hwai-Ping Cheng and
Apr. 00, p190 196 00. p299 307 Gour-Tsyh Yeh, HE Jan. 00, p74-81
MODELING 2000 ANNUAL INDEX
Modeling Nile River Precipitation-Runoff Modeling Using Artificial Neural
Editorial, R. S. Govindaraju and A. Ramachandra Rao Improving Forecasts of Nile Flood Using SST Inputs in Networks and Conceptual Models, A. Sezin Tokar and
HE July 00, p225-226 TFN Model, A. G. Awadallah and J. Rousselle, HE Momcilo Markus, HE Apr. 00, p156-161
Improving Forecasts of Nile Flood Using SST Inputs in Oct. 00. p371 379 Regional Drought Analysis Based on Neural Networks,
OTcFt N Mo) del, A3.7 9 G. Awadallah and J. Rousselle, HE Nitrates H15y5u n-Suk Shin and Jose D. Salas, HE Apr. 00, p145
Neural Networks for Agrichemical Vulnerability Assess
Sediment Delivery Distributed (SEDD) Model, Vito ment of Rural Private Wells, Chittaranjan Ray and Kris Predictions
Ferro and Paolo Porto, HE Oct. 00, p41 1-422 K. Klindworth, HE Apr. 00, p162-171 Performance Evaluation of Artificial Neural Networks for
SHETRAN: Distributed River Basin Flow and Transport Nonlinear analysis Runoff Prediction, Amin Elshorbagy, S. P. Simonovic,
Modeling System, John Ewen, Geoff Parkin and Pa P.E. and U. S. Panu, P.E., HE Oct. 00, p424-427
trick Enda O'Connell, HE July 00, p250-258 Optimization Based Solution of Density Dependent Sea
water Intrusion in Coastal Aquifers, Amlan Das and Probability
Simple Nonlinear Rainfall-Runoff Model, H. A. Basha Bithin Datta, HE Jan. 00, p82-89 Regional Drought Analysis Based on Neural Networks,
HE Jan. 00, p25-32 Simple Nonlinear Rainfall-Runoff Model, H. A. Basha Hyun-Suk Shin and Jose D. Salas, HE Apr. 00, p145
Models HE Jan. 00, p25-32 155
Artificial Neural Networks in Hydrology. I: Preliminary Nonlinear programming Probability distribution
CAorntcifeipctisa,l NeAuSrCaEl TNaestkw orkCso mmiitn teeH ydrono logAyp,p lica(tRiaoon oSf EnhGarnocuenmde-nWtast er to ManGaegneetmiecn t, AlJgaohraintghimr Mfoorr sheOdp timaanld TalVl it TaKlleesm eSa,b outP. E., TaiHlEs oJf ulyH y0d0,r olpo2g2i7c-a2l3 1 Distributions. |
Govindaraju, chmn.), HE Apr. 00, pl 15-123 Jagath J. Kaluarachchi, HE Jan. 00, p6 3 Tall Tales about Tails of Hydrological Distributions. II
Artificial Neural Networks in Hydrology. Il: Hydrologic
\pplications, ASCE Task Committee on Application Nonlinear systems Vit KlemeS, P.E., HE July 00, p232-239
of Artificial Neural Networks in Hydrology, (Rao S Artificial Neural Networks in Hydrology. Il: Hydrologic Radar
ChaGVroiavcctitonerdr airzMaa.j tui,Po onn cceh,om fn .)RD,ar joeunHgdEh rta ApPar..c roP0sa0s,n depCy1l 2i4ma-ant1di3 c7 S ezSarp ecEtrrcuamn oGAfo pvpilAnirdctaairftiiacojinuasl,, NcehAumrSnaC.l)E , NHeTEats wko rApkCrs.o m0m0ii,n ttpHe!ye d roloon24g- 13y ,A ppl(iRcaaot ionS NEBBX.a xRtABeerDd i eEn.t R,a daVriBe urx,i faonr H E FCl.oJo udlHyo blP0i0rt,,e dipc2Dt6ia9ow-nn 2 7i7n C . HoGusltaodnw,e ll Phialnidp
HE Apr. 00, p222-22 Numerical analysis
Rain gages
Model to Simulate Rainfall Excess Patterns on Randomly Overlapping Control Volume Method for Solute Trans
Heterogeneous Areas, R. E. Smith andD . C. Goodrich, port, Atul Kumar Verma, S. Murty Bhallamudi and V NEXRAD Radar for Flood Prediction in Houston, Philip
HE Oct. 00, p355-362 Eswaran, HE July 00, p308-316 B. Bedient, Brian C. Hoblit, Dawn C. Gladwell and
Baxter E. Vieux, HE July 00, p269-2
-recipitation-Runoff Modeling Using Artificial Neural Numerical models
Networks and Conceptual Models, A. Sezin Tokar and Rainfall
Momcilo Markus, HE Apr. 00, p156-161 Soltviiven g Mu3lDti grSiudb,s urfMaicneg -HFslouw Lai,n d HwTarian-sPpionrgt wCihtehn g Adaapn d Application of Gray and Fuzzy Methods for Rainfall
Representation of Snow in Urban Drainage Models, An Gour-Tsyh Yeh, HE Jan. 00, p74-81 Forecasting, Pao-Shan Yu and Chia-Jung Chen, HE
nette F. Semaddeni-Davies, HE Oct. 00 p363-370 Oct. 00 p339 345
Monitoring ONponekni necmhaatnince ls Effects in Storm Hydrograph Routing EffeMcotu ntoaf in WiSnldo peso,n SPtreefcainpoi tatOirolna ndiInnit eracnedp teAdl berbtyo StLeaemp
Entropy-Based Assessment of Water Quality Monitoring Richard D. Crago and S. Mark Richards, HE July 00 berti, HE Oct. 00, p346-354
Networks, Sevinc Ozkul, Nilgun Harmancioglu and p323-326
Vijay P. Singh, HE Jan. 00, p90-100 Model to Simulate Rainfall Excess Patterns on Randomly
Optimization Heterogeneous Areas, R. E. Smith and D. C. Goodrich
Novteioln , SHy. stDe.m fCohre ng Auatnodm atMi. c MiPyaojviemm,e ntC P DiJsutlry es9s8 , Dpet1e4c5 Enhancements to Genetic Algorithm for Optimal HE Oct. 00 p355 362
1<9 Ground-Water Management, Jahangir Morshed and NEXRAD Radar for Flood Prediction in Houston, Philip
Jagath J. Kaluarachchi, HE Jan. 00, p67-73 B. Bedient, Brian C. Hoblit, Dawn C. Gladwell and
Monte Carlo method Optimization Based Solution of Density Dependent Sea Baxter E. Vieux, HE July 00, p269-277
Conditional Distributions of Ideal Reservoir Storage Var water Intrusion in Coastal Aquifers, Amlan Das and Rainfall Disaggregation Using Artificial Neural Net
ables, M. Bayazit and B. Onéz, HE Jan. 00, p52-58 Bithin Datta, HE Jan. 00, p82-89 works, Steven J. Burian, S. Rocky Durrans, Sasa Tom
i¢, Russell L. Pimmel and Chung Ngai Wai, HE July
Mountains Parameters 00, p299-307
Effect of Wind on Precipitation Intercepted by Steep Analysis of Muskingum Equation Based Flood Routing
Mountain Slopes, Stefano Orlandini and Alberto Lam Schemes, John J. Gelegenis and Sergio E. Serrano, HE Rainfall duration
berti, HE Oct. 00, p346-354 Jan. 00, p102-105 Rainfall Disaggregation Using Artificial Neural Net
Neural networks Pavement damage iw¢,o rkRsu,s seSltl evLe.n JPi.m Bmureila n, anSd. RoCchkunyg DNugraria ns,Wa i, SaSHaE ToJuml y
Artificial Neural Networks in Hydrology. I: Preliminary Novel System for Automatic Pavement Distress Detec 00, p299-307
Concepts, ASCE Task Committee on Application of tion, H. D. Cheng and M. Miyojim, CP July 98, p145
Artificial Neural Networks in Hydrology, (Rao S 152 7 . Rainfall-runoff relationships
Govindaraju, chmn.), HE Apr. 00, pl 15-123 Peak floods Channel Infiltration in Solitario Canyon, Yucca Moun
ArtiAfpipcliailc atiNoenusr,a l ANSeCtEw orkTsa sk in HCyodmrmoiltotgeye. onIl : HAyppdlrioclaotgiiocn Regoif onIanldi a, FloRoadk esFho rmKuulmaasr , for R. SeDv.e nS inSguhb zoanned s S. of M.Z onSeet h 3 tianind, GNoervdaodna , W. DaWviitdt meyAe. r,W oolHhEi seJru,l y 0S0t, uarpt2 40A-. 24S9t othoff
of Artificial Neural Networks in Hydrology, (Rao S HE July 99, p240-244 Grid-Size Effects on Surface Runoff Modeling, D. K
Govindaraju, chmn.), HE Apr. 00, p124-137 Molnar and P. Y. Julien, HE Jan. 00, p8-16
Performance evaluation
Artificial Neural Networks in Remote Sensing of Hydro Model to Simulate Rainfall Excess Patterns on Randomly
ogic Processes, Shafiqu! Islam and Ravi Kothari, HE Performance Evaluationo f Artificial Neural Networks for Heterogeneous Areas, R. E. Smith and D. C. Goodrich
Apr. 00, p1 38-144 Runoff Prediction, Amin Elshorbagy, S. P. Simonovic HE Oct. 00, p355-362
P.E. and U. S. Panu, P.E., HE Oct. 00, p424-427
Classification of River Basins Using Artificial Neural Sediment Delivery Distributed (SEDD) Model, Vito
Network, B. S. Thandaveswara and N. Sajikumar, HE Permeability Ferro and Paolo Porto, HE Oct. 00, p41 1-422
July 00, p290-298 Estimation of Harmonic Mean of Lognormal Variable Simple Nonlinear Rainfall-Runoff Model, H. A. Basha
Editorial, R. S. Govindaraju and A. Ramachandra Rao James F. Limbrunner, Richard M. Vogel and Linfield HE Jan. 00, p25-32
HE July 00, p225-226 C. Brown, HE Jan. 00, p59-66
Random variables
HydTrhoilrougmiaclaali ah Foreacnads tiMnga karaUsnindg NeCu.ra lD eoN, etwoHrE ks, AprK. ond00a HydBreanuoliitc HinVgurlanye,r abiBleirtnya rd of CaEplpeelmaeernet,a ry ChrUirsbtoapnh e BCeolul Conditional Distributions of Ideal Reservoir Storage Var
p1 80-189 vier and Michel Desbordes, HE Oct. 00, p402-410 iables, M. Bayazit and B. Onoz, HE Jan. 00, p52-58
Neural Networks for Agrichemical Vulnerability Assess Pesticides Conservation Equations for Ground-Water Velocity in
ment of Rural Private Wells, Chittaranjan Ray and Kris Neural Networks for Agrichemical Vulnerability Assess GAeprn. er0a0,l p2Co0n6d-it2i1o6ns , A. Karakas and M. L. Kavvas, HE
K. Klindworth, HE Apr. 00, p162-171 ment of Rural Private Wells, Chittaranjan Ray and Kris
Performance Evaluation of Artificial Neural Networks for K. Klindworth, HE Apr. 00, p162-171 Real-time programming
Runoff Prediction, Amin Elshorbagy, S. P. Simonovic Porous media Hydrological Forecasting Using Neural Networks, Konda
P.E. and U. S. Panu, P.E., HE Oct. 00, p424-427 Thirumalaiah and Makarand C. Deo, HE Apr. 00,
Pre\c ipti wtoartkiso n-aRunndo ffC oncMeoptduealli nMgo delUss,i ng A. ASretziifinc ialT okaNre uraanld EstCJi. ammaBetrsio ownn F., of HLEiH mabrJramun.no nnei0r0c,, pRM5ie9ca-hn6a 6rd of M. LogVongoerlm ala nd VaLriinafbileled Recph1a80r-g1e8 9b asins
Momcilo Markus, HE Apr. 00, p156-161
Regional Drought Analysis Based on Neural Networks Precipitation Effiencgt,s D.o f M. UnSsuamtnuerart,e d D.Z onEe. Roonl stGorno unandd- WaM.t er A. MMaoruifnido ,
Hyun-Suk Shin and Jose D. Salas, HE Apr. 00, p145 Artificial Neural Networks in Remote Sensing of Hydro HE Jan. 99, p65-69
iss logic Processes, Shafiqul Islam and Ravi Kothari, HE
Apr. 00, p138-144 Regional analysis
Setting Up Stage-Discharge Relations Using ANN, S. K
Jain and D. Chalisgaonkar, HE Oct. 00, p428-433 Characterization of Drought across Climatic Spectrum Regional Drought Analysis Based on Neural Networks
Victor M. Ponce, Rajendra P. Pandey and Sezar Ercan Hyun-Suk Shin and Jose D. Salas, HE Apr. 00, p145
New York City 155
Weather Effects on Daily Water Use in New York City Hybrid Stochastic Model for Daily Flows Simulation in Regional Flood Formulas for Seven Subzones of Zone 3
Angelos L. Protopapas, Sunisa Katchamart and Alina Semiarid Climates, N. D. Evora and J. Rousselle, HE of India, Rakesh Kumar, R. D. Singh and S. M. Seth,
Platonova, HE July 00, p332-338 Jan. 00, p32-42 HE July 99, p240-244
SUBJECT INDEX TEMPERATURE EFFECTS
Regression analysis Sediment transport Stochastic models
Application of Gray and Fuzzy Methods for Rainfall Sediment Delivery Distributed (SEDD) Model, Vito Hybrid Stochastic Model for Daily Flows Simulation in
Forecasting, Pao-Shan Yu and Chia-Jung Chen, HE Ferro and Paolo Porto, HE Oct. 00, p41 1-422 Semiarid Climates, N. D. Evora and J. Rousselle, HE
Oct. 00 p339 345 SHETRAN: Distributed River Basin Flow and Transport Jan. 00, p32-42
PerRfuonromfafn ceP redEicvtaiolnu, atiAomnoi nf AErltsifhiocriabla gyN,e uraS.l P.N eStiwmoornkosv icf or tMroicdke liEnngd a SOy'sCtoenmn,e ll,J ohnH E EwJeulny, 00,G eopf2f5 0-P2a5r8k in and Pa Stochastic processes
P.E. and U. S. Panu, P.E., HE Oct. 00, p424-427 Drought Occurrence Probabilities and Risks of Depend
Sediment yield ent Hydrologic Processes, Chen-hua Chung and Jose
Reliability Sediment Delivery Distributed (SEDD) Model D. Salas, HE July 00, p259-268
Conditional Distributions of Ideal Reservoir Storage Var Ferro and Paolo Porto, HE Oct. 00, p41 1-422 Improving Forecasts of Nile Flood Using SST Inputs in
ables, M. Bayazit and B. On6z, HE Jan. 00 p52-58 Seepage TFN Model, A. G. Awadallah and J. Rousselle, HE
Remote sensing Conservation Equations for Ground-Water Velocity in Oct. 00, p371-379
Artificial Neural Networks in Remote Sensing of Hydro General Conditions, A. Karakas and M. L. Kavvas, HE Storage
Procne1 ss3e8s-, 144 Shafiqul Islam and Ravi Kothari, HE Apr. 00 p206 216 Conditional Distributions of Ideal Reservoir Storage Var
Contaminant Source Solutious with Scale-Dependent iables, M. Bayazit and B. Onéz, HE Jan. 00, p52-58
ilysis of Remotely Sensed Soil Moisture Data Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275
Thattai and Shafiqu!l Islam, HE Oct. 00 Hydraulic Vulnerability of Elementary Urban Cell,
Sensitivity analysis Benoit Hingray, Bernard Cappelaere, Christophe Bou
Enhancements to Genetic Algorithm for Optimal vier and Michel Desbordes, HE Oct. 00, p402-410
Reservoir design Ground-Water Management, Jahangir Morshed anc Storms
il Distributions of Ideal Reservoir Storage Var Jagath J. Kaluarachchi, HE Jan. 00, p67-73
M. Bayazit and B. On6z, HE Jan. 00, p52-58 Evaluation of Peak Discharge Transposition, Richard H MulWtaitvearr iateQ ualTietcyh/nQiuaqnutei tyf or DBaatsa,e floSw. SSheupkalraa,t ionS. UMsoisng
CRoensdeirtviooinra l opDeirsattriibount ions of Ideal Reservoir Storage Var McKYC uen and Benjamin S. Levy, HE July 00, p278 tpa1g7h2im-i1,7 9 B. Petrauskas and M. Al-Smadi, HE Apr. 00
ib M. Bayazit and B. Onoz,H E Jan. 00, p52-58 Skewness Nonkinematic Effects in Storm Hydrograph Routing,
Reservoirs Skedewn-cDye peinn deHnytd rolDoegtiecct ionD atao,f BeChnajnagme ino f SC. entLreavly Taennd pRi3c2h3a-r3d2 6 D. Crago and S. Mark Richards, HE July 00
Simple Nonlinear Rainfall-Runoff Model, H. A. Basha Richard H.M cCuen, HE Jan. 00, p43-51
HE Jan 1). np22 5-37 Stormwater
Risk analysis Slopes Model to Simulate Rainfall Excess Patterns on Randomly
Effect of Wind on Precipitation Intercepted by Steep Heterogeneous Areas, R. E. Smith and D. ¢ Goodrich
ssing Hydrologic Drought Risk Using Simplified Mountain Slopes, Stefano Orlandini and Alberto Lam HE Oct. 00, p355-362
mate Model, Michael L. Anderson, M. Levent Kav berti, HE Oct. 00, p346-354
und Michael D. Mierzwa, HE Oct. 00 p393 401 Stream gaging
River basins SRenporwemseelntta tion of Snow in Urban Drainage Models, An UsiRnegg ioGnI,S tGol enDne teE.r mMiongel enEx teanntd Ro.f GEaduwgaerdd BSetigrhelaemys, inH E a
Classification of River Basins Using Artificial Neural nette F. Semadeni-Davies, HE Oct. 00, p363-370 Apr 00. p90 196
twork, B. S Thandaveswara and N. Sajikumar, HE
J 290-298 Soil erosion Streamflow
SHETRAN: Distributed River Basin Flow and Transport Sediment Delivery Distributed (SEDD) Model, Vito Analysis of Muskingum Equation Based Flood Routing
Modeling System, John Ewen, Geoff Parkin and Pa Ferro and Paolo Porto, HE Oct. 00, p41 1-422 Schemes, John J. Gelegenis and Sergio E. Serrano, HE
ck Endaj O'Connell, HE July 00, p250-258 Soil water Jan. 00, p102-105
Rivers Artificial Neural Networks in Remote Sensing of Hydro Daily Streamflow Simulation Using Recession Character
fr iGodas,m maH ikAmuetto regKreersesimv e CiMgoidzoegll ut o Aannadl ysiMs lAopgri.c 00P, rocpe1s3se8s-,1 44 Shafiqul Islam and Ravi Kothari, HE iJsatni.c s, 00, N. p17T.- 24K ottegoda, L. Natale and E. Raiteri, HE
HE July 98, p218-221 Spatial Analysis of Remotely Sensed Soil Moisture Data Drought Occurrence Probabilities and Risks of Depend
laili ah Foraencda stiMnga karUsainng dN eCu.ra lD eo,N etwoHrEk s, AprK. ond00a pD3e8e6p-t3h9a2 Thattai and Shafiqul Islam, HE Oct. 00 eDn.t SaHlyasd,r olHoEg icJ ulyP r0o0c, espse2s5,9 -2C6h8e n-hua Chung and Jose
89 Solutes Estimation of Harmonic Mean of Lognormal Variable
James F. Limbrunner, Richard M. Vogel and Linfield
Overlapping Control Volume Method for Solute Trans C. Brown, HE Jan. 00, p59-66
irdo n Laboif bD,i ffMusairoino PLreofcebevsrsee,s toJ osReupnho ff RibEesirtoi,m atiJoena n pEosrwt,a ranA,t ul HKE umaJurl y V00e, rmpa3,0 8S-. 31M6u rty Bhallamudi and V SettJaiinng andU p DS.t aCghea-lDiissgcahoanrkgaer , ReHlEa tiOoctn.s 00, Usipn4g 28A-N4N3,3 S. K
ind Hau Ta Trung, HE Jan. 00, p1-7 SHETRAN: Distributed River Basin Flow and Transport
oBf hasFklaars,h FMlaorokd s N. in FEraesntcehr n anKde nGteuocrkgye tMroicdke linEgnd a SyOs'tCeomn,n ell,J ohnH E EwJuelny, 00,G eopf2f5 0-P2a5r8k in and Pa UsiRnAepgrg .i oGn0I,0S, Gptlo1e 9n0Dn-e 1tE9e.6r m Miongel enEx teanntd Ro.f EGdawuagredd BSetigrhelaemys, inH E a
ah, HE July 00, p327-331 Spatial analysis
ormance Evaluationo f Artificial Neural Networks for Regional Drought Analysis Based on Neural Networks Streamflow forecasting
ff Prediction, Amin Elshorbagy, S. P. Simonovix Hyun-Suk Shin and Jose D. Salas, HE Apr. 00, p145 Application of Gamma Autoregressive Model to Analysis
ind U. S. Panu, P.E., HE Oct. 00, p424-42 of Dry Periods, Hikmet Kerem Cigizoglu and M
1-Runoff Modeling Using Artificial Neural Spatial Analysis of Remotely Sensed Soil Moisture Data Bayazit, HE July 98, p218-221
ind Conceptual Models, A. Sezin Tokar and Deeptha Thattai and Shafiqul Islam, HE Oct. 00 Streams
lo Markus, HE Apr. 00, p156-161 p386 39?
Explicit Aquifer Diffusivity Estimation Using Linearly
Runoff coefficient Spatial distribution Varying Stream Stage, Chandra Shekhar P. Ojha, HE
Moments of Runoff Coefficient and Peak Discharge Esti Sediment Delivery Distributed (SEDD) Model, Vito Apr. 00, p218-221
nation in Urban Catchments, Gianfranco Becciu and Ferro and Paolo Porto, HE Oct. 00, p411 42? Linear Air/Water Temperature Correlations for Streams
\lessandro Paoletti, HE Apr. 00, p197-205 SHETRAN: Distributed River Basin Flow and Transport during Open Water Periods, Troy R. Erickson and
Runoff forecasting Modeling System, John Ewen, Geoff Parkin and Pa Heinz G. Stefan, HE July 00, p317-321
Hydrological Forecasting Using Neural Networks, Konda trick Enda O’Connell, HE July 00, p250-258 Subsurface flow
Thirumalaiah and Makarand C. Deo, HE Apr. 00 Spectral analysis Solving 3D Subsurface Flow and Transport with Adap
80-189 Daily Streamflow Simulation Using Recession Character tive Multigrid, Ming-Hsu Li, Hwai-Ping Cheng and
Rural areas istics, N. T. Kottegoda, L. Natale and E. Raiteri, HE Gour-Tsyh Yeh, HE Jan. 00, p74-81
Jan. OO, p17-24
Neural Networks for Agrichemical Vulnerability Assess Surface runoff
ent of Rural Private Wells, Chittaranjan Ray and Kris Stability analysis Channel Infiltration in Solitario Canyon, Yucca Moun
K. Klindworth, HE Apr. 00, p162-171 Analysis of Muskingum Equation Based Flood Routing tain, Nevada, David A. Woolhiser, Stuart A. Stothoff
Salt water intrusion Schemes, John J. Gelegenis and Sergio E. Serrano, HE and Gordon W. Wittmeyer, HE July 00, p240-249
Optimization Based Solution of Density Dependent Sea Jan. 00, p102-105 Grid-Size Effects on Surface Runoff Modeling, D. K
water Intrusion in Coastal Aquifers, Amlan Das and Statistical analysis Molnar and P. Y. Julien, HE Jan. 00, p8-16
Bithin Datta, HE Jan. 00, p82-89 Estimation of Harmonic Mean of Lognormal Variable Surface waters
Sampling CJ. amBerso wnF., HLEi mbrJuann.n er0,0 , pR5i9c-h6a6r d M. Vogel and Linfield Improving Forecasts of Nile Flood Using SST Inputs in
Evaluation of Peak Discharge Transposition, Richard H TFN Model, A. G Awadallah and J. Rousselle, HE
McCuen and Benjamin S. Levy, HE July 00, p278 Multivariate Technique for Baseflow Separation Using Oct. 00, p37l 379
289 Wtaagtheirm i, QuBa. liPteyt/rQauuasnktaist y and DatMa., AlS.- SmaSdhiu,k la,H E S. Apr.M o0s0 SHETRAN: Distributed River Basin Flow and Transport
Spatial Analysis of Remotely Sensed Soil Moisture Data p172-179 Modeling System, John Ewen, Geoff Parkin and Pa
Deeptha Thattai and Shafiqul Islam, HE Oct. 00 trick Enda O'Connell, HE July 00, p250-258
p5s6 392 Skew-Dependent Detection of Change of Central Ten
dency in Hydrologic Data, Benjamin S Levy and Temperature effects
Scale effect Richard H. McCuen, HE Jan. 00, p43-51 Weather Effects on Daily Water Use in New York City
ConDtiaspmeirnsiatnitv itieSso, urceB ruceS olHuutinotn,s HE wiOctth. 9S8,c alpe2-6D8e-p2e7n5d ent TallV it TaKlleesm eSa,b outP. E., TailHsE ofJ ulyH yd0r0,o lopg2i3c2a-l2 39D istributions. Il PAlnagteolnoosv a,L . HEP roJtuolpya p0a0s,, p3S232u29n -is3a232 8 Katchamart and Alina
443
TIME DEPENDENCE 2000 ANNUAL INDEX
Time dependence Water storage
Drought Occurrence Probabilities and Risks of Depend Hydraulic Vulnerability of Elementary Urban Cell
ent Hydrologic Processes, Chen-hua Chung and Jose Benoit Hingray, Bernard Cappelaere, Christophe Bou
D. Salas, HE July 00, p259-268 vier and Michel Desbordes, HE Oct. 00, p402-410
lime factors Water supply
Evaluation of Peak Discharge Transposition, Richard H Weather Effects on Daily Water Use in New York City
McCuen and Benjamin S. Levy, HE July 00, p278 Angelos L. Protopapas, Sunisa Katchamart and Alina
920 Platonova, HE July 00, p332-338
Time series analysis Water temperature
Daily Streamflow Simulation Using Recession Character Improving Forecasts of Nile Flood Using SST Inputs in
istics, N. T. Kottegoda, L. Natale and E. Raiteri, HE TFN Model, A. G. Awadallah and J. Rousselle, HE
Jan. 00. p17-2474 Oct. 00, p371-379
Rainfall Disaggregation Using Artificial Neural Net Linear Air/Water Temperature Correlations for Streams
works, Steven J. Burian, S. Rocky Durrans, SaSa Tom during Open Water Periods, Troy R. Erickson and
i¢, Russell Pimmel and Chung Ngai Wai, HE July HeinzG . Stefan, HE July 00, p317-321
") p299 1) Water use
Topography Weather Effects on Daily Water Use in New York City
Effect of Wind on Precipitation Intercepted by Steep Angelos L. Protopapas, Sunisa Katchamart and Alina
Mountain Slopes, Stefano Orlandini and Alberto Lam Platonova, HE July 00, p332-338
berti, HE Oct. 00, p346-354 Watershed management
lransport phenomena Channel Infiltration in Solitario Canyon, Yucca Moun
tain, Nevada, David A. Woolhiser, Stuart A. Stothoff
Contaminant Source Solutions with Scale-Dependent and Gordon W. Wittmeyer, HE July 00, p240-249
Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275
Overlapping Control Volume Method for Solute Trans Watersheds
port, Atul Kumar Verma, S. Murty Bhallamudi and V Grid-Size Effects on Surface Runoff Modeling, D. K
Eswaran, HE July 00, p308-316 Molnar and P. Y. Julien, HE Jan. 00, p8-16
SHETRAN: Distributed River Basin Flow and Transport NEXRAD Radar for Flood Prediction in Houston, Philip
Modeling System, John Ewen, Geoff Parkin and Pa B. Bedient, Brian C. Hoblit, Dawn C. Gladwell and
trick Enda O'Connell, HE July 00, p250-258 Baxter E. Vieux, HE July 00, p269-277
Solving 3D Subsurface Flow and Transport with Adap Precipitation-Runoff Modeling Using Artificial Neural
tive Multigrid, Ming-Hsu Li, Hwai-Ping Cheng and Networks and Conceptual Models, A. Sezin Tokar and
Gour-Tsyh Yeh, HE Jan. 00, p74-81 Momcilo Markus, HE Apr. 00, p156-161
Simple Nonlinear Rainfall-Runoff Model, H. A. Basha
Unit hydrographs HE Jan. 00 p25 32
Transmuting Synthetic Unit Hydrographs into Gamma Using GIS to Determine Extent of Gauged Streams in a
Distribution, Sushil K. Singh, HE Oct. 00, p380-385 Region, Glenn E. Moglen and R. Edward Beighley, HE
Unsaturated flow Apr. 00 pl90 196
Effects of Unsaturated Zone on Ground-Water Mound Weather data
ing, D. M. Sumner, D. E. Rolston and M. A. Marifio Weather Effects on Daily Water Use in New York City
HE Jan. 99, p65-69 Angelos L. Protopapas, Sunisa Katchamart and Alina
Platonova, HE July 00, p332-338
Unsteady flow
Nonkinematic Effects in Storm Hydrograph Routing Wells
Richard D. Crago and S. Mark Richards, HE July 00 Neural Networks for Agrichemical Vulnerability Assess
p323-326 ment of Rural Private Wells, Chittaranjan Ray and Kris
K. Klindworth, HE Apr. 00, p162-171
Urban areas
Hydraulic Vulnerability of Elementary Urban Cell Wind direction
Benoit Hingray, Bernard Cappelaere, Christophe Bou Effect of Wind on Precipitation Intercepted by Steep
vier and Michel Desbordes, HE Oct. 00, p402-410 Mountain Slopes, Stefano Orlandini and Alberto Lam
berti, HE Oct. 00, p346-354
Moments of Runoff Coefficient and Peak Discharge Esti
mation in Urban Catchments, Gianfranco Becciu and Wind speed
Alessandro Paoletti, HE Apr. 00, p197-205 Effect of Wind on Precipitation Intercepted by Steep
epresentation of Snow in Urban Drainage Models, An Mountain Slopes, Stefano Orlandini and Alberto Lam
nette F. Semadeni-Davies, HE Oct. 00, p363-370. berti, HE Oct. 00, p346-354
Vadose zone Yield
Effects of Unsaturated Zone on Ground-Water Mound Conditional Distributions of Ideal Reservoir Storage Var
ing, D. M. Sumner, D. E. Rolston and M. A. Marifio. iables, M. Bayazit and B. On6z, HE Jan. 00, p52-58
HE Jan. 99, 965-69
Velocity
Conservation Equations for Ground-Water Velocity in
General Conditions, A. Karakas and M. L. Kavvas, HE
Apr. 00 p206-216
Water demand
Weather Effects on Daily Water Use in New York City
Angelos L. Protopapas, Sunisa Katchamart and Alina
Platonova, HE July 00, p332-338
Water quality
Entropy-Based Assessment of Water Quality Monitoring
Networks, Sevinc Ozkul, Nilgun Harmancioglu and
Vijay P. Singh, HE Jan. 00, p90-100
Multivariate Technique for Baseflow Separation Using
Water Quality/Quantity Data, S. Shukla, S. Mos
taghimi, B. Petrauskas and M. Al-Smadi, HE Apr. 00
pl 2-179
Neural Networks for Agrichemical Vulnerability Assess
ment of Rural Private Wells, Chittaranjan Ray and Kris
K. Klindworth, HE Apr. 00, p162-171
Water resources
Contaminant Source Solutions with Scale-Dependent
Dispersitivities, Bruce Hunt, HE Oct. 98, p268-275
Water resources management
Assessing Hydrologic Drought Risk Using Simplified
Climate Model, Michael L. Anderson, M. Levent Kav
vas and Michael D. Mierzwa, HE Oct. 00, p393-401
AUTHOR INDEX MORSHED
AUTHOR INDEX
Al-Smadi, M. Deo, Makarand C. Kleme&, Vit, P.E.
see Shukla, S., HE Apr. 00, p172-179 see Thirumalaiah, Konda, HE Apr. 00, p1 80-189 Tall Tales about Tails of Hydrological Distributions. |
Anderson, Michael L. Desbordes, Michel HE July 00,p 227-231
Assessing Hydrologic Drought Risk Using Simplified see Hingray, Benoit, HE Oct. 00, p402-410 Tall Tales about Tails of Hydrological Distributions. II
Climate Model, with M. Levent Kavvas and Michael HE July 00, p232-239
D. Mierzwa, HE Oct. 00, p393-401 Dseuer rBaunrisa,n , S. SRtoecvkeyn J., HE July 00, p299-307 Klindworth, Kris K.
ASCE Task Committee on Application of Artificial see Ray, Chittaranjan, HE Apr. 00, p162-171
Njue,u rcahlm n.N)e tworks in Hydrology, (Rao S. Govindara- EPelrsRfhuoonrromfbfaa ngcyeP,r edAEivmcaitlinuo ant,i onw itohf SA.r tiPf.i ciSail moNneouvriacl, NeP.tEw. oraknsd fLor Ksene igZhotp,p oJu., H.C ., (disc), HE Oct. 98, p268-275
ArtCiofniccieaplt s,N eurHaEl ANper.t wo0rk0sp ,i i n H1y5-d12r3 ology. I: Preliminary S. Panu, P.E., HE Oct. 00, p424-427 Kothari, Ravi
Artificial Neural Networks in Hydrology. Il: Hydrologic Ercan, Sezar see Islam, Shafiqul, HE Apr. 00, p138-144
Applications, HE Apr. 00, p124-137 Kottegoda, N. T.
4 wadallah, A. G. Erickson, Troy R. Daily Streamflow Simulation Using Recession Character
Improving Forecasts of Nile Flood Using SST Inputs in Linear Air/Water Temperature Correlations for Streams i> stics, with L. Natale and E. Raiteri, HE Jan. 00, p17
TFN Model, with J. Rousselle, HE Oct. 00, p371-379 during Open Water Periods, with Heinz G. Stefan, HE
Basha, H. A. July 00, p317-321 Kumar, Arun
Simple Nonlinear Rainfall-Runoff Model, HE Jan. 00 Eswaran, V. disc. (of Regional Flood Formulas for Seven Subzones of
see Verma, Atul Kumar, HE July 00, p308-316 Zone 3 of India, by Rakesh Kumar, R. D. Singh and S
M. Seth, HE July 99, p240-244) with Vijay K. Mino
Bayazit, M. Evora, N. D. cha, HE Oct. 00, p436-437
ynditional Distributions of Ideal Reservoir Storage Var Hybrid Stochastic Model for Daily Flows Simulation in
iables, with B. Onéz, HE Jan. 00, p52-58 Semiarid Climates, with J. Rousselle, HE Jan. 00, Kumar, Rakesh
p32-42 Regional Flood Formulas for Seven Subzones of Zone 3
Bayazit, M. of India, with R. D. Singh and S. M. Seth, HE July 99
ee Cigizoglu, Hikmet Kerem, HE July 98, p218-221 Ewen, John p240-244 ;
BMeocmceinu,t s Gioaf nfRrunaonfcfo Coefficient and Peak Discharge Esti SHOEM'oTCdRoeAnlnNie:nlg l , SDyHissEtt ermiJ,bu luyt weid0t 0h, RiGpve2eo5rf 0f- B2a5Ps8ai rnk inF loawn d anPda trTircak nsEpnordta disc: Aru0n0 , Kpu4m3a6r- 43a7n d Vijay; K. Minocha, HE Oct
mation in Urban Catchments, with Alessandro Paoletti Kyiamah, George K.
HE Apr. 00, p197-205 Ferro, Vito see Bhaskar, Nageshwar R., HE July 00, p327-331
Sediment Delivery Distributed (SEDD) Model, with Pao
Bedient, Philip B. lo Porto, HE Oct. 00, p411-422 Labib, Richard
NEVBXireiRuaxAn, D C.H ER aHdoJaburll yi t,0f 0o,r DpFa2lwo6no9 d- 27C.P 7r edGilcatdiwoenl l in aHnodu stBoanx,t er witEh Fsere enBchha,s kaMra,r kN agN.e shwar R., HE July 00, p327-331 Appwalinitdch a HtiaMouan r iToao f TLDreiuffnefgbu,vs rieoH,nE PJJroanos.ce eps0hs0 ,e sR pi1bt-eoi7 r Rou,n ofJfe an EsRtoiumsasteilolne,
Beee igMholgelye,n , R. GEldewnanr Ed. , HE Apr. 00, p190-196 GAenlaSelcgyhesenimise ss,o, f JoMwhiuntsh k Ji.Sn egrugimo EE.q uaSteirorann o,B asHeEd JFalno. od 00,R oupt1i0n2g Lseaem bOerrltanid,i niA,l beSrtetfoa no, HE Oct. 00, p346-354
Bhallamudi, S. Murty 105 Lefebvre, Mario
see Verma, Atul Kumar, HE July 00, p308-316 Gladwell, Dawn C. see Labib, Richard, HE Jan. 00, p1-7
Bhaskar, Nageshwar R. see Bedient, Philip B., HE July 00, p269-277 Levy, Benjamin S.
ChaJwruialtcyh t e0r0M.i azraptkt 3 i2o7nN- .3 3o1fF reFnlcahs h anFdl ooGdes orgine EaKs. terKny iamKaehn,t uckHyE Gseoe odSrmiicthh,, RD.. EC.., HE Oct. 00, p355-362 SkedHewEn- cDyJea np.e inn 0d0He, yndtpr4 o3l-oD5ge1it ecc tiDoant a, of wiCthh anRgiec haorfd CHe.n trMalc CueTenn
Bouvier, Christophe Govindaraju, R. S. see McCuen, Richard H., HE July 00, p278-289
see Hingray, Benoit, HE Oct. 00, p402-410 Edit2o2r6i al, with A. Ramachandra Rao, HE July 00, p225- Li, Ming-Hsu
Brown, Linfield C. Solving 3D Subsurface Flow and Transport with Adap
see Limbrunner, James F., HE Jan. 00, p59-66 Harmancioglu, Nilgun tive Multigrid, with Hwai-Ping Cheng and Gour-Tsyh
see Ozkul, Sevinc, HE Jan. 00, p90-100 Yeh, HE Jan. 00, p74-81
Burian, Steven J.
Rainfall Disaggregation Using Artificial Neural Net Hingray, Benoit Limbrunner, James F.
vorks, with S. Rocky Durrans, SaSa Tomié, Russell | Hydraulic Vulnerability of Elementary Urban Cell, with Estimation of Harmonic Mean of Lognormal Variable,
Pimmel and Chung Ngai Wai, HE July 00, p299-307 Bernard Cappelaere, Christophe Bouvier and Michel with Richard M. Vogel and Linfield C. Brown, HE Jan
Desbordes, HE Oct. 00, p402-410 00, p59-66
Cappelaere, Bernard
ee Hingray, Benoit, HE Oct. 00 p402 410 Hoblit, Brian C. Marino, M. A.
see Bedient, Philip B., HE July 00, p269-277 see Sumner, D. M., HE Jan. 99, p65-69
Csehe alJiaisng, aoSn. kaKr.,, HED . Oct. 00, p428-433 Hunt, Bruce Markus, Momcilo
Contaminant Source Solutions with Scale-Dependent see Tokar, A. Sezin, HE Apr. 00, p156-161
Chen, Chia-Jung Dispersitivities, HE Oct. 98, p268-275
see Yu, Pao-Shan, HE Oct. 00, p339-345 disc: C. Zoppou and J. H. Knight, HE Jan. 00, McCuen, Richard H.
plii-113 Evaluation of Peak Discharge Transposition, with Benja
Cheng, H. D. clo: HE Jan. 00, p113 min S. Levy, HE July 00, p278-289
Novel System for Automatic Pavement Distress Detec see Levy, Benjamin S., HE Jan. 00, p43-51
tion, with M. Miyojim, CP July 98, p145-152 Islam, Shafiqul
ck HE Jan. 00, p109-111 Artificial Neural Networks in Remote Sensing of Hydro- Mierzwa, Michael D.
logic Processes, with Ravi Kothari, HE Apr. 00, p138- see Anderson, Michael L., HE Oct. 00, p393-401
Cheng, Hwai-Ping 144
see Li, Ming-Hsu, HE Jan. 00, p74-81 see Thattai, Deeptha, HE Oct. 00, p386-392 Minocha, Vijay K.
see Kumar, Arun, (disc), HE July 99, p240-244
Chung, Chen-hua Jain, S. K.
Drought Occurrence Probabilities and Risks of Depend Setting Up Stage-Discharge Relations Using ANN, with Miyojim, M.
ent Hydrologic Processes, with Jose D. Salas, HE July D. Chalisgaonkar, HE Oct. 00, p428-433 see Cheng, H. D., CP July 98, p145-152
00, p259-268
Julien, P. Y. Moglen, Glenn E.
Cifizoglu, Hikmet Kerem see Molnar, D. K., HE Jan. 00, p8-16 Using GIS to Determine Extent of Gauged Streams in a
Application of Gamma Autoregressive Model to Analysis Region, with R. Edward Beighley, HE Apr. 00, p190
of Dry Periods, with M. Bayazit, HE July 98, p218-221 Kaluarachchi, Jagath J. 196
disc: K. Srinivasan and V. V. Srinivas, HE Jan. 00, see Morshed, Jahangir, HE Jan. 00, p67-73
pl07-109 Karakas, A. GMroildn-aSri,z e D.E fKf.ec ts on Surface Runoff Modeling, with P
Crago, Richard D. Conservation Equations for Ground-Water Velocity in Y. Julien, HE Jan. 00, p8-16
Nonkinematic Effects in Storm Hydrograph Routing, General Conditions, with M. L. Kavvas, HE Apr. 00,
with S. Mark Richards, HE July 00, p323-326 p206-216 Morel-Seytoux, Hubert J.
disc. (of Effects of Unsaturated Zone on Ground-Water
ODpast,i miAzmaltiaonn Based Solution of Density Dependent Sea Kseaet cPhraotmoapratp,a s,S uAninsgae los L., HE July 00, p332-338 MMaoruinfidoi,n gH, E bJya n.D . 99M,. pS6u5m-6n9e)r,, HDE. EO.c t.R ol00s,t onp 43a5n-d4 3M6. A
water Intrusion in Coastal Aquifers, with Bithin Datta, Kavvas, M. L.
HE Jan. 00, p82-89 see Karakas, A., HE Apr. 00, p206-216 Morshed, Jahangir
Enhancements to Genetic Algorithm for Optimal
Datta, Bithin Kavvas, M. Levent Ground-Water Management, with Jagath J. Kaluarach-
see Das, Amlan, HE Jan. 00, p82-89 see Anderson, Michael L., HE Oct. 00, p393-401 chi, HE Jan. 00, p67-73
445
MOSTAGHIMI 2000 ANNUAL INDEX
Mostaghimi, S. Simonovic, S. P., P.E.
Shukla, S., HE Apr. 00 see Elshorbagy, Amin, HE Oct. 00, p424-427
Natale, L. Singh, R. D.
Kottegoda, N. T., HE Jan. ( see Kumar, Rakesh, HE July 99, p240-244
O'Connell, Patrick Enda Singh, Sushil K.
Ew John, HE July 00, p250 Transmuting Synthetic Unit Hydrographs into Gamma
Distribution, HE Oct. 00, p380-385
Ojha, Chandra Shekhar P.
Exy t Aquifer Diffusivity Estimation Using Linearly Singh, Vijay P.
Stream Stage, HE Apr. 00, p218-221 see Ozkul, Sevinc, HE Jan. 00, p90-100
Onoz, B Smith, R. E.
Baya M Model to Simulate Rainfall Excess Patterns on Randomly
Heterogeneous Areas, with D. C. Goodrich, HE Oct
Orlandini, Stefano 00, p355-362
Efi vf Wind on ecipitation Intercepted by Steep
Mountain Slopes, with Alberto Lamberti, HE Oct. 00 Srinivas, V. V.
4¢ see Srinivasan, K., (disc), HE July 98, p218-221
O7kul, Sevinc Srinivasan, K.
py-Based Assessment of Water Quality Monitoring disc. (of Application of Gamma Autoregressive Model to
t i gun Harmancioglu and Vijay P Analysis of Dry Periods, by Hikmet Kerem Cigizoglu
10, p90- 100 and M. Bayazit, HE July 98, p218-221) with V. V
Srinivas, HE Jan. 00, p107-109
Pandey, Rajendra P.
Por Victor M., HE Apr. 00, p222-224 Stefan, Heinz G.
see Erickson, Troy R., HE July 00, p317-321
Panu, U.S ., P.E.
Elshorbagy, Amin, HE Oct. 00, p424-427 Stothoff, Stuart A.
see Woolhiser, David A., HE July 00, p240-249
Paoletti, Alessandro
B i, Gianfranco, HE Apr. 00, p197-205 Sumner, D. M.
Effects of Unsaturated Zone on Ground-Water Mound-
Parkin, Geoff ing, with D. E. Rolston and M. A. Marifio, HE Jan. 99
¢ Ewen, John, HE July p65-69
Petrauskas, B. disc: Hubert J. Morel-Seytoux, HE Oct. 00, p435
Shukla, S.. HE Apr 436
Pimmel, Ru ussell L. Thandaveswara, B. S.
e Buriat St'e ven . J.. HE July 00 p299 307 Classification of River Basins Using Artificial Neural
Network, with N. Sajikumar, HE July 00, p290-298
Platonova, Alina
Protopapas, Angelos HE July 00, p332-338 Thattai, Deeptha
Spatial Analysis of Remotely Sensed Soil Moisture Data
Ponce, Victor M with Shafiqu! Islam, HE Oct. 00, p386-392
Char ration of ught across Climatic Spectrum
ndra and Sezar Ercan, HE Apr. 00 rhirumalaiah, Konda
Hydrological Forecasting Using Neural Networks, with
MakarandC . Deo, HE Apr. 00, p180-189
Porto, Paolo
Ferro, Vito, HE Oct. 00, p4 Tokar, A. Sezin
Precipitation-Runoff Modeling Using Artificial Neural
Protopapas, Angelos L. Networks and Conceptual Models, with Momcilo
Weather Effects on Daily Water Use in New York City Markus, HE Apr. 00, p156-161
th Sunisa Katchamart and Alina Platonova, HE July
n 337.338 Tomic¢, Sasa
see Burian, Steven J., HE July 00, p299-307
Raiteri, E.
Kottegoda, N. T.. HE Jan. 00, p17-24 rrung, Hau Ta
see Labib, Richard, HE Jan. 00, p!
Rao, A. Ramachandra
Govindaraju, R. S., I july OO p225 226 Verma, Atul Kumar
Overlapping Control Volume Method for Solute Trans
Ray, Chittaranjan port, with S. Murty Bhallamudi and V. Eswaran, HE
Neural Networks for Agrichemical Vulnerability Assess July 00, p308-316
t vate Wells, with Kris K. Klindworth
Vieux, Baxter E.
see Bedient, Philip B., HE July 00, p269-277
Ribeiro, Joseph
Labib, Richard, HE Jan. 00, p! Vogel, Richard M.
see Limbrunner, James F., HE Jan. 00, p59-66
Richards,S . Mark
Crago, RichardD ., HE July 00, p323-326 Wai, Chung Ngai
see Burian, Steven J., HE July 00, p299-307
Rolston, D. E.
Sumner, D. M., HE Jan. 99, p65-69 Wittmeyer, Gordon W.
see Woolhiser, David A., HE July 00, p240-249
Rousselle, J.
\wadallah, A. G., HE Oct. 00, p371-379 Woolhiser, David A.
f ra, N. D., HE Jan. 00, p32-42 Channel Infiltration in Solitario Canyon, Yucca Moun
tain, Nevada, with Stuart A. Stothoff and Gordon W
Rousselle, Jean Wittmeyer, HE July 00, p240-249
Labib, Richard, HE Jan. 00, p1
Yeh, Gour-Tsyh
Sajikumar, N. see Li, Ming-Hsu, HE Jan. 00, p74-81
Thanda ura, B. S., HE July 00, p290-298
Yu, Pao-Shan
Salas, Jose D. Application of Gray and Fuzzy Methods for Rainfall
e Chung, Chen-hua, HE July 00, p259-268 Forecasting, with Chia-Jung Chen, HE Oct. 00, p339-
Shin, Hyun-Suk, HE Apr. 00, p145-155 345
Semadeni-Davies, Annette F. Zoppou, C.
Representation of Snow in Urban Drainage Models, HE disc. (of Contaminant Source Solutions with Scale
Oct 7 Dependent Dispersitivities, by Bruce Hunt, HE Oct
98, p268-275) with J. H. Knight, HE Jan. 00, p111-113
Serrano, Sergio E.
eG r J.. HE Jan. 00 pl02 105
Seth,S . M.
Kumar, Rakest July 99, p240-244
Shin, Hyun-Suk
R nal Drought Analysis Based on Neural Networks
Jose D. Salas, HE Apr. 00, p145-155
Shukla, S.
Multivariate chni for Baseflow Separation Using
Data, with S. Mostaghimi, B
Smadi, HE Apr. 00, p172-179
: i y. ty cae