-
1
-
-
0034254196
-
Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments
-
R.J. Abrahart, L. See, Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments, Hydrological Processes 14 (2000) 2157-2172.
-
(2000)
Hydrological Processes
, vol.14
, pp. 2157-2172
-
-
Abrahart, R.J.1
See, L.2
-
2
-
-
0031236925
-
Asymptotic statistical theory of overtraining and cross-validation
-
S.I. Amari, N. Murata, K.R. Muller, M. Finke, H.H. Yang, Asymptotic statistical theory of overtraining and cross-validation, IEEE Transactions on Neural Networks 8 (1997) 985-996.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, pp. 985-996
-
-
Amari, S.I.1
Murata, N.2
Muller, K.R.3
Finke, M.4
Yang, H.H.5
-
3
-
-
0000782355
-
Automated base flow separation and recession analysis techniques
-
J.G. Arnold, P.M. Allen, R. Muttiah, G. Bernhardt, Automated base flow separation and recession analysis techniques, Ground Water 33 (1995) 1010-1018.
-
(1995)
Ground Water
, vol.33
, pp. 1010-1018
-
-
Arnold, J.G.1
Allen, P.M.2
Muttiah, R.3
Bernhardt, G.4
-
4
-
-
0034174280
-
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology I: Preliminary concepts
-
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology I: preliminary concepts, Journal of Hydrologic Engineering 5 (2000) 115-123.
-
(2000)
Journal of Hydrologic Engineering
, vol.5
, pp. 115-123
-
-
-
5
-
-
0034174396
-
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology II: Hydrologic applications
-
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology II: hydrologic applications, Journal of Hydrologic Engineering 5 (2000) 124-137.
-
(2000)
Journal of Hydrologic Engineering
, vol.5
, pp. 124-137
-
-
-
6
-
-
0037217838
-
Artificial neural network modeling: A summary of successful applications relative to microbial water quality
-
G.M. Brion, S. Lingireddy, Artificial neural network modeling: a summary of successful applications relative to microbial water quality, Water Science and Technology 47 (2003) 235-240.
-
(2003)
Water Science and Technology
, vol.47
, pp. 235-240
-
-
Brion, G.M.1
Lingireddy, S.2
-
7
-
-
31044455061
-
Integration of artificial neural networks with conceptual models in rainfall-runoff modeling
-
J. Chen, B.J. Adams, Integration of artificial neural networks with conceptual models in rainfall-runoff modeling, Journal of Hydrology 318 (2006) 232-249.
-
(2006)
Journal of Hydrology
, vol.318
, pp. 232-249
-
-
Chen, J.1
Adams, B.J.2
-
9
-
-
47249164838
-
Assessing hydrological impact of potential land use change through hydrological and land use change modeling for the Kishwaukee River basin (USA)
-
W. Choi, B.M. Deal, Assessing hydrological impact of potential land use change through hydrological and land use change modeling for the Kishwaukee River basin (USA), Journal of Environmental Management 88 (2008) 1119-1130.
-
(2008)
Journal of Environmental Management
, vol.88
, pp. 1119-1130
-
-
Choi, W.1
Deal, B.M.2
-
10
-
-
0038240755
-
Estimation, forecasting and extrapolation of flow data by artificial neural networks
-
H.K. Cigizoglu, Estimation, forecasting and extrapolation of flow data by artificial neural networks, Hydrological Sciences Journal 48 (2003) 349-361.
-
(2003)
Hydrological Sciences Journal
, vol.48
, pp. 349-361
-
-
Cigizoglu, H.K.1
-
11
-
-
0037783429
-
Incorporation of ARMA models into flow forecasting by artificial neural networks
-
H.K. Cigizoglu, Incorporation of ARMA models into flow forecasting by artificial neural networks, Environmetrics 14 (2003) 417-427.
-
(2003)
Environmetrics
, vol.14
, pp. 417-427
-
-
Cigizoglu, H.K.1
-
12
-
-
23044443211
-
Application of the generalized regression neural networks to intermittent flow forecasting and estimation
-
H.K. Cigizoglu, Application of the generalized regression neural networks to intermittent flow forecasting and estimation, ASCE Journal of Hydrologic Engineering 10 (2005) 336-341.
-
(2005)
ASCE Journal of Hydrologic Engineering
, vol.10
, pp. 336-341
-
-
Cigizoglu, H.K.1
-
13
-
-
27944503514
-
Generalized regression neural network in monthly flow forecasting
-
H.K. Cigizoglu, Generalized regression neural network in monthly flow forecasting, Civil Engineering and Environmental Systems 22 (2005) 71-84.
-
(2005)
Civil Engineering and Environmental Systems
, vol.22
, pp. 71-84
-
-
Cigizoglu, H.K.1
-
14
-
-
12544253180
-
Flow prediction by three backpropagation techniques using k-fold partitioning of neural network training data
-
H.K. Cigizoglu, O. Kisi, Flow prediction by three backpropagation techniques using k-fold partitioning of neural network training data, Nordic Hydrology 36 (2005) 1-16.
-
(2005)
Nordic Hydrology
, vol.36
, pp. 1-16
-
-
Cigizoglu, H.K.1
Kisi, O.2
-
15
-
-
28944434082
-
Methods to improve the neural network performance in suspended sediment estimation
-
H.K. Cigizoglu, O. Kisi, Methods to improve the neural network performance in suspended sediment estimation, Journal of Hydrology 317 (2006) 221-238.
-
(2006)
Journal of Hydrology
, vol.317
, pp. 221-238
-
-
Cigizoglu, H.K.1
Kisi, O.2
-
16
-
-
0024861871
-
Approximation by superpositions of a sigmoidal function
-
G. Cybenko, Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals, and Systems 2 (1989) 303-314.
-
(1989)
Mathematics of Control, Signals, and Systems
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
17
-
-
0031277503
-
Effects of learning parameters on learning procedure and performance of a BPNN
-
H.C. Dai, C. Macbeth, Effects of learning parameters on learning procedure and performance of a BPNN, Neural Networks 10 (1997) 1505-1521.
-
(1997)
Neural Networks
, vol.10
, pp. 1505-1521
-
-
Dai, H.C.1
Macbeth, C.2
-
18
-
-
0034749335
-
Hydrological modeling using artificial neural networks
-
C.W. Dawson, R.L. Wilby, Hydrological modeling using artificial neural networks, Progress in Physical Geography 25 (2001) 80-108.
-
(2001)
Progress in Physical Geography
, vol.25
, pp. 80-108
-
-
Dawson, C.W.1
Wilby, R.L.2
-
19
-
-
38049082249
-
-
Feisi Research and Development Center of Science and Technology, Electronics Industry Press, Beijing
-
Feisi Research and Development Center of Science and Technology, MATAB 6.5 Auxiliary Neural Network Analysis and Design, Electronics Industry Press, Beijing, 2003.
-
(2003)
MATAB 6.5 Auxiliary Neural Network Analysis and Design
-
-
-
20
-
-
0031998129
-
Application example of neural networks for time series analysis: Rainfall runoff modeling
-
D. Furundzic, Application example of neural networks for time series analysis: rainfall runoff modeling, Signal Processing 64 (1998) 383-396.
-
(1998)
Signal Processing
, vol.64
, pp. 383-396
-
-
Furundzic, D.1
-
21
-
-
34047247047
-
Consideration of measurement uncertainty in the evaluation of goodness-of-fit in hydrologic and water quality modeling
-
R.D. Harmel, P.K. Smith, Consideration of measurement uncertainty in the evaluation of goodness-of-fit in hydrologic and water quality modeling, Journal of Hydrology 337 (2007) 326-336.
-
(2007)
Journal of Hydrology
, vol.337
, pp. 326-336
-
-
Harmel, R.D.1
Smith, P.K.2
-
23
-
-
0024880831
-
Multilayer feed forward networks are universal approximators
-
K. Hornik, M. Stinchcombe, H. White, Multilayer feed forward networks are universal approximators, Neural Networks 2 (1989) 359-366.
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
24
-
-
0008768705
-
Applications of artificial neural network to hydrology and water resources
-
T. Hu, P. Yuan, J. Din, Applications of artificial neural network to hydrology and water resources, Advances in Water Science 11 (1995) 76-81.
-
(1995)
Advances in Water Science
, vol.11
, pp. 76-81
-
-
Hu, T.1
Yuan, P.2
Din, J.3
-
25
-
-
0035472003
-
River flow time series prediction with a range-dependent neural network
-
T.S. Hu, K.C. Lam, S.T. Ng, River flow time series prediction with a range-dependent neural network, Hydrological Sciences Journal 46 (2001) 729-745.
-
(2001)
Hydrological Sciences Journal
, vol.46
, pp. 729-745
-
-
Hu, T.S.1
Lam, K.C.2
Ng, S.T.3
-
26
-
-
33748316537
-
Development of rainfall-runoff models using Takagi-Sugeno fuzzy inference systems
-
A.P. Jacquin, A.Y. Shamseldin, Development of rainfall-runoff models using Takagi-Sugeno fuzzy inference systems, Journal of Hydrology 329 (2006) 154-173.
-
(2006)
Journal of Hydrology
, vol.329
, pp. 154-173
-
-
Jacquin, A.P.1
Shamseldin, A.Y.2
-
27
-
-
2442639370
-
Development of effective and efficient rainfall runoff models using integration of deterministic
-
(W04302, doi:10.1029/2003WR002355)
-
A. Jain, S. Srinivasulu, Development of effective and efficient rainfall runoff models using integration of deterministic, real-coded GA, and ANN techniques, Water Resources Research 40 (2004) (W04302, doi:10.1029/2003WR002355).
-
(2004)
Real-coded GA, and ANN techniques, Water Resources Research
, vol.40
-
-
Jain, A.1
Srinivasulu, S.2
-
28
-
-
38049070396
-
Hydrologic simulations with artificial neural networks
-
Q. Ju, Z. Yu, Z. Hao, et al., Hydrologic simulations with artificial neural networks, in: Third International Conference on Natural Computation, IEEE Computer Society Publications, vol. 2, 2007, pp. 22-27.
-
(2007)
Third International Conference on Natural Computation, IEEE Computer Society Publications
, vol.2
, pp. 22-27
-
-
Ju, Q.1
Yu, Z.2
Hao, Z.3
-
29
-
-
57649122474
-
Streamflow simulation with an integrated approach of wavelet analysis and artificial neural networks
-
Q. Ju, Z. Yu, Z. Hao, et al., Streamflow simulation with an integrated approach of wavelet analysis and artificial neural networks, in: Fourth International Conference on Natural Computation, IEEE Computer Society Publications, vol. 2, 2008, pp. 564-569.
-
(2008)
Fourth International Conference on Natural Computation, IEEE Computer Society Publications
, vol.2
, pp. 564-569
-
-
Ju, Q.1
Yu, Z.2
Hao, Z.3
-
30
-
-
0034931357
-
Introduction of wavelet analyses to rainfallrunoff relationship for a Karstic basin: The case of Licq-Atherey Karstic system, France
-
D. Labat, R. Ababou, A. Mangin, Introduction of wavelet analyses to rainfallrunoff relationship for a Karstic basin: the case of Licq-Atherey Karstic system, France, Ground Water 39 (2001) 605-615.
-
(2001)
Ground Water
, vol.39
, pp. 605-615
-
-
Labat, D.1
Ababou, R.2
Mangin, A.3
-
31
-
-
0034737033
-
A study of optimal model lag and spatial inputs to artificial neural networks for rainfall forecasting
-
K.C. Luk, J.E. Ball, A. Sharma, A study of optimal model lag and spatial inputs to artificial neural networks for rainfall forecasting, Journal of Hydrology 227 (2000) 56-65.
-
(2000)
Journal of Hydrology
, vol.227
, pp. 56-65
-
-
Luk, K.C.1
Ball, J.E.2
Sharma, A.3
-
32
-
-
0033957764
-
Neural network for the prediction and forecasting of water resources variables: A review of modeling issues and applications
-
H.R. Maier, G.C. Dandy, Neural network for the prediction and forecasting of water resources variables: a review of modeling issues and applications, Environmental Modeling and Software 15 (2000) 101-124.
-
(2000)
Environmental Modeling and Software
, vol.15
, pp. 101-124
-
-
Maier, H.R.1
Dandy, G.C.2
-
33
-
-
0003947410
-
-
second ed., Wiley, New York
-
S. Makridakis, S.C. Wheelwright, V.E. McGee, Forecasting: Methods and Applications, second ed., Wiley, New York, 1983.
-
(1983)
Forecasting: Methods and Applications
-
-
Makridakis, S.1
Wheelwright, S.C.2
Mcgee, V.E.3
-
34
-
-
0029748915
-
A neural network model of rainfall-runoff using radial basis functions
-
J.C. Mason, R.K. Price, A. Temme, A neural network model of rainfall-runoff using radial basis functions, Journal of Hydraulic Research 34 (4) (1996) 537-548.
-
(1996)
Journal of Hydraulic Research
, vol.34
, Issue.4
, pp. 537-548
-
-
Mason, J.C.1
Price, R.K.2
Temme, A.3
-
35
-
-
51249194645
-
A logical calculus of the ideas immanent in nervous activity
-
W.S. Mcculloch, W. Pitts, A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics 5 (1943) 115-133.
-
(1943)
Bulletin of Mathematical Biophysics
, vol.5
, pp. 115-133
-
-
Mcculloch, W.S.1
Pitts, W.2
-
36
-
-
0030159380
-
Artificial neural networks as rainfall-runoff models
-
A.W. Minns, M.J. Hall, Artificial neural networks as rainfall-runoff models, Hydrological Sciences Journal 41 (1996) 399-417.
-
(1996)
Hydrological Sciences Journal
, vol.41
, pp. 399-417
-
-
Minns, A.W.1
Hall, M.J.2
-
37
-
-
0014776873
-
River flow forecasting through conceptual models, I. A discussion of principles
-
J.E. Nash, J.V. Sutcliffe, River flow forecasting through conceptual models, I. A discussion of principles, Journal of Hydrology 10 (1970) 282-290.
-
(1970)
Journal of Hydrology
, vol.10
, pp. 282-290
-
-
Nash, J.E.1
Sutcliffe, J.V.2
-
38
-
-
34447520115
-
Chaos based analytical techniques for daily extreme hydrological observations
-
W.W. Ng, U.S. Panu, W.C. Lennox, Chaos based analytical techniques for daily extreme hydrological observations, Journal of Hydrology 342 (2007) 17-41.
-
(2007)
Journal of Hydrology
, vol.342
, pp. 17-41
-
-
Ng, W.W.1
Panu, U.S.2
Lennox, W.C.3
-
39
-
-
48649085521
-
Estimation and forecasting of the daily suspended sediment data using wavelet-neural networks
-
T. Partal, H.K. Cigizoglu, Estimation and forecasting of the daily suspended sediment data using wavelet-neural networks, Journal of Hydrology 358 (2008) 317-331.
-
(2008)
Journal of Hydrology
, vol.358
, pp. 317-331
-
-
Partal, T.1
Cigizoglu, H.K.2
-
40
-
-
34047150355
-
, Integration of a detailed biogeochemical model into SWAT for improved nitrogen predictions-model development, sensitivity, and GLUE analysis
-
T. Pohlert, J.A. Huisman, L. Breuer, et al., Integration of a detailed biogeochemical model into SWAT for improved nitrogen predictions-model development, sensitivity, and GLUE analysis, Ecological Modelling 203 (2007) 215-228.
-
(2007)
Ecological Modelling
, vol.203
, pp. 215-228
-
-
Pohlert, T.1
Huisman, J.A.2
Breuer, L.3
-
41
-
-
0004197136
-
-
Wiley, New York
-
J.C. Principe, N.R. Euliano, W. Curt Lefebvre, Neural and Adaptive Systems, Wiley, New York, 2000.
-
(2000)
Neural and Adaptive Systems
-
-
Principe, J.C.1
Euliano, N.R.2
Curt Lefebvre, W.3
-
42
-
-
0033535432
-
A non-linear rainfall-runoff model using an artificial neural network
-
N. Sajikumar, B.S. Thandaveswara, A non-linear rainfall-runoff model using an artificial neural network, Journal of Hydrology 216 (1999) 32-55.
-
(1999)
Journal of Hydrology
, vol.216
, pp. 32-55
-
-
Sajikumar, N.1
Thandaveswara, B.S.2
-
43
-
-
1442304311
-
Long range precipitation prediction in California: A look inside the "black box", of a trained network
-
R.S. Govindaraju, A. Rao (Eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands
-
D. Silverman, J.A. Dracup, Long range precipitation prediction in California: a look inside the "black box" of a trained network, in: R.S. Govindaraju, A. Rao (Eds.), Artificial Neural Networks in Hydrology, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2000, pp. 311-329.
-
(2000)
Artificial Neural Networks in Hydrology
, pp. 311-329
-
-
Silverman, D.1
Dracup, J.A.2
-
44
-
-
33144460939
-
Identification of groundwater pollution sources using GA-based linked simulation optimization model
-
R.M. Singh, B. Datta, Identification of groundwater pollution sources using GA-based linked simulation optimization model, Journal of Hydrologic Engineering 11 (2006) 101-109.
-
(2006)
Journal of Hydrologic Engineering
, vol.11
, pp. 101-109
-
-
Singh, R.M.1
Datta, B.2
-
45
-
-
0345388118
-
Hydrologic Systems
-
Prentice-Hall, Inc., Englewood Cliffs, NJ
-
V.P. Singh, Hydrologic Systems. Watershed Modeling, vol. 2, Prentice-Hall, Inc., Englewood Cliffs, NJ, 1989.
-
(1989)
Watershed Modeling
, vol.2
-
-
Singh, V.P.1
-
47
-
-
0034737012
-
Chaos theory in hydrology: Important issues and interpretations
-
B. Sivakumar, Chaos theory in hydrology: important issues and interpretations, Journal of Hydrology 27 (2000) 1-20.
-
(2000)
Journal of Hydrology
, vol.27
, pp. 1-20
-
-
Sivakumar, B.1
-
49
-
-
85030589271
-
-
The Ministry of Water Resources of the People's Republic of China, Standard for hydrological information and hydrological forecasting, Beijing, China, China Water Power Press, Beijing, China
-
The Ministry of Water Resources of the People's Republic of China, Standard for hydrological information and hydrological forecasting, Beijing, China, China Water Power Press, Beijing, China, 2000, pp. 18-20.
-
(2000)
, pp. 18-20
-
-
-
50
-
-
0034174397
-
Precipitation runoff modeling using artificial neural network and conceptual models
-
A.S. Tokar, M. Markus, Precipitation runoff modeling using artificial neural network and conceptual models, Journal of Hydrology Engineering 5 (2000) 156-161.
-
(2000)
Journal of Hydrology Engineering
, vol.5
, pp. 156-161
-
-
Tokar, A.S.1
Markus, M.2
-
52
-
-
0141759457
-
Enhanced backpropagation training algorithm for transient event identification
-
J.E. Vitela, J. Reifman, Enhanced backpropagation training algorithm for transient event identification, Transactions of the American Nuclear Society 69 (1993) 148-149.
-
(1993)
Transactions of the American Nuclear Society
, vol.69
, pp. 148-149
-
-
Vitela, J.E.1
Reifman, J.2
-
53
-
-
39549106505
-
Long-term effects of restoration on soil hydraulic properties in revegetation-stabilized desert ecosystems
-
X.-P. Wang, M.H. Young, Z. Yu, Long-term effects of restoration on soil hydraulic properties in revegetation-stabilized desert ecosystems, Geophysical Research Letters 34 (2007) L24S22.
-
(2007)
Geophysical Research Letters
, vol.34
-
-
Wang, X.-P.1
Young, M.H.2
Yu, Z.3
-
54
-
-
0000778985
-
Predicting sunspots and exchange rates with connectionist networks
-
M. Casdagli, S. Eubank (Eds.), Addison-Wesley, Redwood City, CA
-
A.S. Weigend, B.A. Huberman, D.E. Rumelhart, Predicting sunspots and exchange rates with connectionist networks, in: M. Casdagli, S. Eubank (Eds.), Nonlinear Modeling and Forecasting, Addison-Wesley, Redwood City, CA, 1992, pp. 395-432.
-
(1992)
Nonlinear Modeling and Forecasting
, pp. 395-432
-
-
Weigend, A.S.1
Huberman, B.A.2
Rumelhart, D.E.3
-
55
-
-
33750940570
-
Assessment of radionuclide transport uncertainty in the unsaturated zone of Yucca Mountain
-
M. Ye, F. Pan, Y.S. Wu, B. Hu, C. Shirley, Z. Yu, Assessment of radionuclide transport uncertainty in the unsaturated zone of Yucca Mountain, Advances in Water Resources 30 (2007) 118-134.
-
(2007)
Advances in Water Resources
, vol.30
, pp. 118-134
-
-
Ye, M.1
Pan, F.2
Wu, Y.S.3
Hu, B.4
Shirley, C.5
Yu, Z.6
-
56
-
-
0031127257
-
Efficient backpropagation learning using optimal learning rate and momentum
-
X.H. Yu, G.A. Chen, Efficient backpropagation learning using optimal learning rate and momentum, Neural Networks 10 (1997) 517-527.
-
(1997)
Neural Networks
, vol.10
, pp. 517-527
-
-
Yu, X.H.1
Chen, G.A.2
-
57
-
-
0037407748
-
Studies on water movement and solute transport in arid regions
-
Z. Yu, B. Hu, Studies on water movement and solute transport in arid regions, Journal of Hydrology 275 (2003) 139-260.
-
(2003)
Journal of Hydrology
, vol.275
, pp. 139-260
-
-
Yu, Z.1
Hu, B.2
-
58
-
-
0346885982
-
Simulating methane emission from a Chinese rice field as influenced by fertilizer and water level
-
Z. Yu, X. Shangguan, D. Pollard, E. Barron, Simulating methane emission from a Chinese rice field as influenced by fertilizer and water level, Hydrological Processes 17 (2003) 3485-3501.
-
(2003)
Hydrological Processes
, vol.17
, pp. 3485-3501
-
-
Yu, Z.1
Shangguan, X.2
Pollard, D.3
Barron, E.4
-
59
-
-
38049004011
-
-
China Water Power Press, Beijing, China
-
X. Yuan, H. Li, S. Liu, Nerve Network and Heredity Algorithm in Water Scientific Domain Application, China Water Power Press, Beijing, China, 2002.
-
(2002)
Nerve Network and Heredity Algorithm in Water Scientific Domain Application
-
-
Yuan, X.1
Li, H.2
Liu, S.3
-
60
-
-
0034100712
-
Prediction of watershed runoff using bayesian concepts and modular neural networks
-
B. Zhang, S. Govindaraju, Prediction of watershed runoff using bayesian concepts and modular neural networks, Water Resources Research 36 (2000) 753-762.
-
(2000)
Water Resources Research
, vol.36
, pp. 753-762
-
-
Zhang, B.1
Govindaraju, S.2
-
61
-
-
84972817918
-
Time series analysis and prediction by neural networks
-
X. Zhang, Time series analysis and prediction by neural networks, Optimization Methods and Software 4 (1994) 151-170.
-
(1994)
Optimization Methods and Software
, vol.4
, pp. 151-170
-
-
Zhang, X.1
-
62
-
-
10244219814
-
-
China Water Power Press, Beijing, China
-
R.J. Zhao, Watershed Hydrological Model-Xinanjiang Model and orthern Shaanxi Model, China Water Power Press, Beijing, China, 1992, pp. 26-127.
-
(1992)
Watershed Hydrological Model-Xinanjiang Model and orthern Shaanxi Model
, pp. 26-127
-
-
Zhao, R.J.1
-
63
-
-
0026895285
-
The Xinanjiang model applied in China
-
R.J. Zhao, The Xinanjiang model applied in China, Journal of Hydrology 135 (1992) 371-381.
-
(1992)
Journal of Hydrology
, vol.135
, pp. 371-381
-
-
Zhao, R.J.1
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