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在“
自然资源管理
”中,
命中:
18
条,耗时:小于0.01 秒
1.
Hydroclimate drivers and atmospheric teleconnections of long duration floods: An application to large reservoirs in the Missouri River Basin
作者:
Nasser Najibia
;
b
;
c
;
nnajibi@ccny.cuny.edu
;
Naresh Devinenia
;
b
;
c
;
ndevineni@ccny.cuny.edu
;
Mengqian Lud
关键词:
Long duration floods
;
Flood characteristics
;
Antecedent
precipitation
;
Persistent rainfall
;
Atmospheric teleconnection
刊名:Advances in Water Resources
年:2017
2.
Flood
flow
forecasting using ANN, ANFIS and regression models
作者:
M. Rezaeianzadeh (1) H. Tabari (2) A. Arabi Yazdi (3) S. Isik (4) L. Kalin (1)
关键词:
MLP
;
Neuro
;
fuzzy
;
Regression analysis
;
Area
;
weighted precipitation
;
Antecedent
flow
;
Iran
刊名:Neural Computing & Applications
年:2014
3.
Fuzzy C-Mean Clustering Based Inference System for Saltwater Intrusion Processes Prediction in Coastal Aquifers
作者:
Dilip Kumar Roy
;
Bithin Datta
关键词:
Coastal aquifer
;
Salinity concentration
;
Surrogate model
;
Fuzzy logic
;
Fuzzy inference system
;
Fuzzy c
;
means clustering
刊名:Water Resources Management
出版者:Springer Netherlands
年:2017
4.
Stream
flow
Prediction of Karuvannur River Basin Using ANFIS, ANN and MNLR Models
作者:
K. Anusreea
;
anusree.k13@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
K.O. Vargheseb
关键词:
Neural networks
;
Fuzzy inference system
;
Multiple Nonlinear Regression
;
Hydrological modeling.
刊名:Procedia Technology
年:2016
5.
Using path analysis to identify the influence of climatic factors on spring peak
flow
dominated by snowmelt in an alpine watershed
作者:
Fei-Yun Zhang (1) (2) Lan-Hai Li (1) Sajjad Ahmad (3) Xue-Mei Li (1) (4)
关键词:
Snowmelt
;
Peak
flow
;
Path analysis
;
Alpine watershed
刊名:Journal of Mountain Science
年:2014
6.
Monthly
flow
forecast for Mississippi River basin using artificial neural networks
作者:
C. Sivapragasam (1) S. Vanitha (1) Nitin Muttil (2) K. Suganya (1) S. Suji (1) M. Thamarai Selvi (1) R. Selvi (1) S. Jeya Sudha (1)
关键词:
Monthly forecast
;
Artificial neural network
;
Mississippi River
;
Water resources management
刊名:Neural Computing & Applications
年:2014
7.
Identifying natural
flow
regimes using fish communities
作者:
Fi-John
;
Changa
;
;
changfj@ntu.edu.tw
;
Wen-Ping
;
Tsaia
;
Tzu-Ching
;
Wua
;
Hung-kwai
;
Chenb
;
Edwin E.
;
Herricksc
;
;
herricks@uiuc.edu
关键词:
Ecohydrology
;
Natural
flow
regime
;
Ecological
flow
regimes
;
Taiwan Eco-hydrological Indicator System (TEIS)
;
Moving average method
;
Point-biserial correlation method
刊名:Journal of Hydrology
年:2011
8.
Investigating the interactive mechanisms between surface water and groundwater over the Jhuoshuei river basin in central Taiwan
作者:
Fi-John Chang (1) Cheng-Hsien Lin (1) Kuang-Chih Chang (2) Yu-Hsuan Kao (1) Li-Chiu Chang (3)
关键词:
Groundwater level
;
Rainfall
;
Stream
flow
;
Artificial neural network
;
Thiessen polygon method
刊名:Paddy and Water Environment
年:2014
9.
Predicting Monthly Spring Discharges Using a Simple Statistical Model
作者:
Nazzareno Diodato (1) (2) Luigi Guerriero (2) Francesco Fiorillo (2) Libera Esposito (2) Paola Revellino (2) Gerardo Grelle (2) Francesco Maria Guadagno (2)
关键词:
Spring discharge
;
Statistical model
;
Complex aquifer
;
Southern Italy
;
Montaguto
刊名:Water Resources Management
年:2014
10.
Seasonal Forecasts of Unregulated In
flow
s into the Murray River, Australia
作者:
David E. Robertson (1) Q. J. Wang (1)
关键词:
Probabilistic forecasting
;
Seasonal stream
flow
s
;
Bayesian joint probability modeling
;
Forecast verification
刊名:Water Resources Management
年:2013
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