相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran
Pouya Aghelpour et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)
Water Quality Prediction of Water Sources Based on Meteorological Factors using the CA-NARX Approach
Jing Wang et al.
ENVIRONMENTAL MODELING & ASSESSMENT (2021)
Artificial Intelligence models for prediction of the tide level in Venice
Francesco Granata et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)
Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network
Fabio Di Nunno et al.
WATER (2021)
Forecasting of Extreme Storm Tide Events Using NARX Neural Network-Based Models
Fabio Di Nunno et al.
ATMOSPHERE (2021)
Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks
Francesco Granata et al.
AGRICULTURAL WATER MANAGEMENT (2021)
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models
Fabio Di Nunno et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2021)
A support vector regression model to predict nitrate-nitrogen isotopic composition using hydro-chemical variables
Yue Yang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series
Pouya Aghelpour et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2020)
Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
Taher Rajaee et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)
Riprap incipient motion for overtopping flows with machine learning models
Mohammad Najafzadeh et al.
JOURNAL OF HYDROINFORMATICS (2020)
A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban Aquifers
Abdullah A. Alsumaiei
WATER (2020)
Prediction of nitrate concentration in Danube River water by using artificial neural networks
Lidija J. Stamenkovic et al.
WATER SUPPLY (2020)
A fuzzy equilibrium strategy for sustainable water quality management in river-reservoir system
Sepideh Kheirkhah Hasanzadeh et al.
JOURNAL OF HYDROLOGY (2020)
Surrogate-Based Multiperiod, Multiobjective Reservoir Operation Optimization for Quality and Quantity Management
Motahareh Saadatpour et al.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2020)
Optimised neural network model for river-nitrogen prediction utilizing a new training approach
Pavitra Kumar et al.
PLOS ONE (2020)
Estimation of dissolved oxygen in riverine ecosystems: Comparison of differently optimized neural networks
Anita Csabragi et al.
ECOLOGICAL ENGINEERING (2019)
Prediction of groundwater level in seashore reclaimed land using wavelet and artificial neural network-based hybrid model
Juan Zhang et al.
JOURNAL OF HYDROLOGY (2019)
Evaluation of Seasonally Classified Inputs for the Prediction of Daily Groundwater Levels: NARX Networks Vs Support Vector Machines
Sandra M. Guzman et al.
ENVIRONMENTAL MODELING & ASSESSMENT (2019)
NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects
Mohammad Najafzadeh et al.
MARINE GEORESOURCES & GEOTECHNOLOGY (2018)
A novel SON2-based similarity index and its application for the rationalization of river water quality monitoring network
D. Antanasijevic et al.
RIVER RESEARCH AND APPLICATIONS (2018)
A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation
Zina Boussaada et al.
ENERGIES (2018)
Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)
Andreas Wunsch et al.
JOURNAL OF HYDROLOGY (2018)
Drinking Water Nitrate and Human Health: An Updated Review
Mary H. Ward et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)
Historical nitrogen fertilizer use in agricultural ecosystems of the contiguous United States during 1850-2015: application rate, timing, and fertilizer types
Peiyu Cao et al.
EARTH SYSTEM SCIENCE DATA (2018)
Two centuries of nitrogen dynamics: Legacy sources and sinks in the Mississippi and Susquehanna River Basins
K. J. Van Meter et al.
GLOBAL BIOGEOCHEMICAL CYCLES (2017)
A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA
Katherine M. Ransom et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
The Use of NARX Neural Networks to Forecast Daily Groundwater Levels
Sandra M. Guzman et al.
WATER RESOURCES MANAGEMENT (2017)
Application of artificial neural networks to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube
Anita Csabragi et al.
ECOLOGICAL ENGINEERING (2017)
Nitrate Pollution and Preliminary Source Identification of Surface Water in a Semi-Arid River Basin, Using Isotopic and Hydrochemical Approaches
Ying Xue et al.
WATER (2016)
Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models
Xuyuan Li et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2015)
Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation
Xuyuan Li et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2015)
Comparing drinking water treatment costs to source water protection costs using time series analysis
Matthew T. Heberling et al.
WATER RESOURCES RESEARCH (2015)
Nitrate behaviors and source apportionment in an aquatic system from a watershed with intensive agricultural activities
Lu Lu et al.
ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS (2015)
Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index
A. Jalalkamali et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2015)
A Hybrid Methodology for Salinity Time Series Forecasting Based on Wavelet Transform and NARX Neural Networks
Xingguo Yang et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2014)
Selection of smoothing parameter estimators for general regression neural networks - Applications to hydrological and water resources modelling
Xuyuan Li et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2014)
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling
Wenyan Wu et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2014)
Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis
Davor Antanasijevic et al.
JOURNAL OF HYDROLOGY (2014)
Dynamic regression modeling of daily nitrate-nitrogen concentrations in a large agricultural watershed
Zhujing Feng et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2013)
Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study
Davor Antanasijevic et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2013)
Study of short-term water quality prediction model based on wavelet neural network
Longqin Xu et al.
MATHEMATICAL AND COMPUTER MODELLING (2013)
From Agricultural Intensification to Conservation: Sediment Transport in the Raccoon River, Iowa, 1916-2009
Christopher S. Jones et al.
JOURNAL OF ENVIRONMENTAL QUALITY (2011)
Least-cost control of agricultural nutrient contributions to the Gulf of Mexico hypoxic zone
Sergey Rabotyagov et al.
ECOLOGICAL APPLICATIONS (2010)
Assessment of Total Maximum Daily Load Implementation Strategies for Nitrate Impairment of the Raccoon River, Iowa
Manoj K. Jha et al.
JOURNAL OF ENVIRONMENTAL QUALITY (2010)
Nitrate-nitrogen patterns in the Raccoon River Basin related to agricultural practices
J. L. Hatfield et al.
JOURNAL OF SOIL AND WATER CONSERVATION (2009)
ECOLOGY Controlling Eutrophication: Nitrogen and Phosphorus
Daniel J. Conley et al.
SCIENCE (2009)
Spreading dead zones and consequences for marine ecosystems
Robert J. Diaz et al.
SCIENCE (2008)
Fuzzy computing based rainfall-runoff model for real time flood forecasting
PC Nayak et al.
HYDROLOGICAL PROCESSES (2005)
Baseflow contribution to nitrate-nitrogen export from a large, agricultural watershed, USA
K Schilling et al.
JOURNAL OF HYDROLOGY (2004)
Relation of nitrate concentrations to baseflow in the Raccoon River, Iowa
KE Schilling et al.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION (2004)
Chemical transport from paired agricultural and restored prairie watersheds
KE Schilling
JOURNAL OF ENVIRONMENTAL QUALITY (2002)
Nitrate temporal and spatial patterns in 12 water-supply wells, Yucatan, Mexico
J Pacheco et al.
ENVIRONMENTAL GEOLOGY (2001)
Establishing nutrient criteria in streams
WK Dodds et al.
JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY (2000)