References
Ahmad S, Simonovic S P. 2001. Integration of heuristic knowledge with
analytical tools for the selection of flood damage reduction
measures[J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 28(2): 208-221.
Asefa T, Kemblowski M, Mckee M, Khalil A. 2006. Multi-time scale stream
flow predictions: The support vector machines approach[J]. JOURNAL
OF HYDROLOGY, 318(1-4): 7-16.
Bai Y, Chen Z, Xie J, Li C. 2016. Daily reservoir inflow forecasting
using multiscale deep feature learning with hybrid models[J].
JOURNAL OF HYDROLOGY, 532: 193-206.
Bauer D J, Curran P J. 2005. Probing interactions in fixed and
multilevel regression: Inferential and graphical techniques[J].
MULTIVARIATE BEHAVIORAL RESEARCH, 40(3): 373-400.
Cheng G, Dong C, Huang G, Baetz B W, Han J. 2016a. Discrete
principal-monotonicity inference for hydro-system analysis under
irregular nonlinearities, data uncertainties, and multivariate
dependencies. Part I: methodology development[J]. HYDROLOGICAL
PROCESSES, 30(23): 4255-4272.
Cheng G, Dong C, Huang G, Baetz B W, Han J. 2016b. Discrete
principal-monotonicity inference for hydro-system analysis under
irregular nonlinearities, data uncertainties, and multivariate
dependencies. Part II: Application to streamflow simulation in the
Xingshan Watershed, China[J]. HYDROLOGICAL PROCESSES, 30(23):
4273-4291.
Cheng G, Huang G, Dong C, Zhu J, Zhou X, Yao Y. 2017. Recursive
multivariate principal-monotonicity inferential climate
downscaling[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL
SOCIETY, 143(708A): 2780-2796.
Chen J, Xia J, Zhao C, Zhang S, Fu G, Ning L. 2014. The mechanism and
scenarios of how mean annual runoff varies with climate change in Asian
monsoon areas[J]. JOURNAL OF HYDROLOGY, 517: 595-606.
Chen K, Yant Z, Huo Q. 2015. A Context-Sensitive-Chunk BPTT Approach to
Training Deep LSTM/BLSTM Recurrent Neural Networks for Offline
Handwriting Recognition[M]//Proceedings of the International
Conference on Document Analysis and Recognition. 411-415.
Ding Y H, Ren G Y, Shi G Y, Gong P, Zheng X H. 2006. National assessment
report of climate change (Ⅰ): climate change in China and its future
trend[J]. Advances in Climate Change Research, 2(1), 3–8 (in
Chinese).
Drogue G, Pfister L, Leviandier T, El Idrissi A, Iffly J F, Matgen P,
Humbert J, Hoffmann L. 2004. Simulating the spatio-temporal variability
of streamflow response to climate change scenarios in a mesoscale
basin[J]. JOURNAL OF HYDROLOGY, 293(1-4): 255-269.
Fan Y R, Huang G H, Li Y P, Wang X Q, Li Z. 2016. Probabilistic
Prediction for Monthly Streamflow through Coupling Stepwise Cluster
Analysis and Quantile Regression Methods[J]. WATER RESOURCES
MANAGEMENT, 30(14): 5313-5331.
Gardner L R. 2009. Assessing the effect of climate change on mean annual
runoff[J]. JOURNAL OF HYDROLOGY, 379(3-4): 351-359.
Gao C, Zhai J Q, Tao H, Liu B, Su B D. 2009. Hydrological response to
land use/land cover change in Chaohu Basin[J]. Journal of Natural
Resources, 24(10):1–9 (in Chinese).
Ghosh S, Mujumdar P P. 2008. Statistical downscaling of GCM simulations
to streamflow using relevance vector machine[J]. ADVANCES IN WATER
RESOURCES, 31(1): 132-146.
Giorgi F, Marinucci M R. 1996. An investigation of the sensitivity of
simulated precipitation to model resolution and its implications for
climate studies[J]. MONTHLY WEATHER REVIEW, 124(1): 148-166.
Graves A, Jaitly N, Mohamed A. 2013. HYBRID SPEECH RECOGNITION WITH DEEP
BIDIRECTIONAL LSTM[M]//273-278.
Guan X, Zhang J, Elmahdi A, Li X, Liu J, Liu Y, Jin J, Liu Y, Bao Z, Liu
C, He R, Wang G. 2019. The Capacity of the Hydrological Modeling for
Water Resource Assessment under the Changing Environment in Semi-Arid
River Basins in China[J]. WATER, 11(13287).
Gu H, Yu Z, Wang G, Wang J, Ju Q, Yang C, Fan C. 2015. Impact of climate
change on hydrological extremes in the Yangtze River Basin,
China[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,
29(3): 693-707.
He X J. 2017. Information on Impacts of Climate Change and Adaptation in
China[J]. JOURNAL OF ENVIRONMENTAL INFORMATICS, 29(2): 110-121.
Hoang L P, Lauri H, Kummu M, Koponen J, van Vliet M T H, Supit I,
Leemans R, Kabat P, Ludwig F. 2016. Mekong River flow and hydrological
extremes under climate change[J]. HYDROLOGY AND EARTH SYSTEM
SCIENCES, 20(7): 3027-3041.
Hu C, Wu Q, Li H, Jian S, Li N, Lou Z. 2018. Deep Learning with a Long
Short-Term Memory Networks Approach for Rainfall-Runoff
Simulation[J]. WATER, 10(154311).
Huy Q V, Li G, Law R, Ye B H. 2015. Exploring the travel behaviors of
inbound tourists to Hong Kong using geotagged photos[J]. TOURISM
MANAGEMENT, 46: 222-232.
IPCC (Intergovernmental Panel on Climate Change), 2001. Summary for
Policymakers. Climate Change 2001: The Scientific Basis. Summary for
Policymakers and Technical Summary of Working Group I Report. Cambridge
University Press, Cambridge, U K
IPCC (Intergovernmental Panel on Climate Change), 2007. Summary for
Policymakers. Climate Change 2007: The Physical Science Basis.
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change. Cambridge University Press,
Cambridge, U K, and New York, USA
Kalra A, Li L, Li X, Ahmad S. 2013. Improving Streamflow Forecast Lead
Time Using Oceanic-Atmospheric Oscillations for Kaidu River Basin,
Xinjiang, China[J]. JOURNAL OF HYDROLOGIC ENGINEERING, 18(8):
1031-1040.
Leahy P, Kiely G, Corcoran G. 2008. Structural optimisation and input
selection of an artificial neural network for river level
prediction[J]. JOURNAL OF HYDROLOGY, 355(1-4): 192-201.
Lecun Y, Bengio Y, Hinton G. 2015. Deep learning[J]. NATURE,
521(7553): 436-444.
Lin G, Chen G, Huang P. 2010. Effective typhoon characteristics and
their effects on hourly reservoir inflow forecasting[J]. ADVANCES IN
WATER RESOURCES, 33(8): 887-898.
Marcoulides G A. 2004. The elements of statistical learning: Data
mining, inference and prediction.[J]. STRUCTURAL EQUATION MODELING-A
MULTIDISCIPLINARY JOURNAL, 11(1): 150-151.
Mcinerney D, Thyer M, Kavetski D, Lerat J, Kuczera G. 2017. Improving
probabilistic prediction of daily streamflow by identifying Pareto
optimal approaches for modeling heteroscedastic residual errors[J].
WATER RESOURCES RESEARCH, 53(3): 2199-2239.
Modarres R. 2009. Multi-criteria validation of artificial neural network
rainfall-runoff modeling[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,
13(3): 411-421.
Okkonen J, Klove B. 2010. A conceptual and statistical approach for the
analysis of climate impact on ground water table fluctuation patterns in
cold conditions[J]. JOURNAL OF HYDROLOGY, 388(1-2): 1-12.
Pan T, Wang R, Lai J. 2007. A deterministic linearized recurrent neural
network for recognizing the transition of rainfall-runoff
processes[J]. ADVANCES IN WATER RESOURCES, 30(8): 1797-1814.
Partington D, Brunner P, Simmons C T, Werner A D, Therrien R, Maier H R,
Dandy G C. 2012. Evaluation of outputs from automated baseflow
separation methods against simulated baseflow from a physically based,
surface water-groundwater flow model[J]. JOURNAL OF HYDROLOGY, 458:
28-39.
Postadjian T, Le Bris A, Sahbi H, Mallet C. 2018. DOMAIN ADAPTATION FOR
LARGE SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES WITH
DEEP[M]//IEEE International Symposium on Geoscience and Remote
Sensing IGARSS. 3623-3626.
Puri S, Stephen H, Ahmad S. 2011. Relating TRMM precipitation radar land
surface backscatter response to soil moisture in the Southern United
States[J]. JOURNAL OF HYDROLOGY, 402(1-2): 115-125.
Shen C, Laloy E, Elshorbagy A, Albert A, Bales J, Chang F, Ganguly S,
Hsu K, Kifer D, Fang Z, Fang K, Li D, Li X, Tsai W. 2018. HESS Opinions:
Incubating deep-learning-powered hydrologic science advances as a
community[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 22(11):
5639-5656.
Shivam G, Goyal M K, Sarma A K. 2019. Index-Based Study of Future
Precipitation Changes over Subansiri River Catchment under Changing
Climate[J]. JOURNAL OF ENVIRONMENTAL INFORMATICS, 34(1): 1-14.
Shoaib M, Shamseldin A Y, Melville B W. 2014. Comparative study of
different wavelet based neural network models for rainfall-runoff
modeling[J]. JOURNAL OF HYDROLOGY, 515: 47-58.
Simonovic S P, Ahmad S. 2005. Computer-based model for flood evacuation
emergency planning[J]. NATURAL HAZARDS, 34(1): 25-51.
Smirnov E A, Timoshenko D M, Andrianov S N. 2014. Comparison of
Regularization Methods for ImageNet Classification with Deep
Convolutional Neural Networks[M]//Deng W.AASRI Procedia. 89-94.
Tian Y, Xu Y, Yang Z, Wang G, Zhu Q. 2018. Integration of a Parsimonious
Hydrological Model with Recurrent Neural Networks for Improved
Streamflow Forecasting[J]. WATER, 10(165511).
Wang G Q, Zhang J Y, Jin J L, Pagano T C, Calow R, Bao Z X, Liu C S, Liu
Y L, Yan X L. 2012. Assessing water resources in China using PRECIS
projections and a VIC model[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,
16(1): 231-240.
Wang J. 2010. Based on correlation coefficient and BP neural network
model forecasted the annual runoff of Kaidu River[J]. Guangdong
Water Resources and Hydropower, 4(1): 19–22 (in Chinese).
Wang J, Ma Y, Zhang L, Gao R X, Wu D. 2018. Deep learning for smart
manufacturing: Methods and applications[J]. JOURNAL OF MANUFACTURING
SYSTEMS, 48(SIC): 144-156.
Wang Y, Yang X, Zhang M, Zhang L, Yu X, Ren L, Liu Y, Jiang S, Yuan F.
2019. Projected Effects of Climate Change on Future Hydrological Regimes
in the Upper Yangtze River Basin, China[J]. ADVANCES IN METEOROLOGY,
(1545746).
Wu H, Chen B, Snelgrove K, Lye L M. 2019. Quantification of Uncertainty
Propagation Effects during Statistical Downscaling of Precipitation and
Temperature to Hydrological Modeling[J]. JOURNAL OF ENVIRONMENTAL
INFORMATICS, 34(2): 139-148.
Xu R, Hu H, Tian F, Li C, Khan M Y A. 2019. Projected climate change
impacts on future streamflow of the Yarlung Tsangpo-Brahmaputra
River[J]. GLOBAL AND PLANETARY CHANGE, 175: 144-159.
Yang C, Yu Z, Hao Z, Zhang J, Zhu J. 2012. Impact of climate change on
flood and drought events in Huaihe River Basin, China[J]. HYDROLOGY
RESEARCH, 43(1-2): 14-22.
Zeng X, Kundzewicz Z W, Zhou J, Su B. 2012. Discharge projection in the
Yangtze River basin under different emission scenarios based on the
artificial neural networks[J]. QUATERNARY INTERNATIONAL, 282:
113-121.
Zhang Y, Xu Y, Dong W, Cao L, Sparrow M. 2006. A future climate scenario
of regional changes in extreme climate events over China using the
PRECIS climate model[J]. GEOPHYSICAL RESEARCH LETTERS, 33(L2470224).