Groundwater budget forecasting, using hybrid wavelet-ANN-GP modelling: a case study of Azarshahr Plain, East Azerbaijan, Iran

Skip Nav Destination

Hydrology Research (2017) 48 (2): 455–467.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas

Abedulla Elsaidy
Estifanos Addisu Yimer
Yunes Mogheir
Marijke Huysmans
Lorenzo Villani
Ann van Griensven

Science of The Total Environment (2025) 978: 179406.

Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models

Erfan Abdi
Mumtaz Ali
Celso Augusto Guimarães Santos
Adeyemi Olusola
Mohammad Ali Ghorbani

Groundwater for Sustainable Development (2024) 26: 101213.

Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform

Meysam Alizamir
Jalal Shiri
Ahmad Fakheri Fard
Sungwon Kim
AliReza Docheshmeh Gorgij
Salim Heddam
Vijay P. Singh

Engineering Applications of Artificial Intelligence (2023) 123: 106199.

Advance prediction of coastal groundwater levels with temporal convolutional and long short-term memory networks

Xiaoying Zhang
Fan Dong
Guangquan Chen
Zhenxue Dai

Hydrology and Earth System Sciences (2023) 27 (1): 83.

Temporal and Spatial Modeling of Groundwater Level in Bushehr Plain using Artificial Intelligence and Geostatistics

halimeh piri
mojtaba mobaraki
saheh siasar

journal of watershed management research (2022) 13 (26): 58.

Development of a new wavelet-based hybrid model to forecast multi-scalar SPEI drought index (case study: Zanjan city, Iran)

Masoud Karbasi
Maryam Karbasi
Mehdi Jamei
Anurag Malik
Hazi Mohammad Azamathulla

Theoretical and Applied Climatology (2022) 147 (1-2): 499.

Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges

Adoubi Vincent De Paul Adombi
Romain Chesnaux
Marie-Amélie Boucher

Hydrogeology Journal (2021) 29 (8): 2671.

Combined Wavelet Transform With Long Short-Term Memory Neural Network for Water Table Depth Prediction in Baoding City, North China Plain

Zehua Liang
Yaping Liu
Hongchang Hu
Haoqian Li
Yuqing Ma
Mohd Yawar Ali Khan

Frontiers in Environmental Science (2021) 9

Integrated preprocessing techniques with linear stochastic approaches in groundwater level forecasting

Arash Azari
Mohammad Zeynoddin
Isa Ebtehaj
Ahmed M. A. Sattar
Bahram Gharabaghi
Hossein Bonakdari

Acta Geophysica (2021) 69 (4): 1395.

A proposed modelling towards the potential impacts of climate change on a semi-arid, small-scaled aquifer: a case study of Iran

Hamid Reza Nassery
Nejat Zeydalinejad
Farshad Alijani
Alireza Shakiba

Environmental Monitoring and Assessment (2021) 193 (4)

Spatial and temporal assessment of groundwater quality and hydrogeochemical processes in Urmia Lake Basin, Iran

Mohammadreza Pashaeifar
Reza Dehghanzadeh
Mohammad Ebrahim Ramazani
Omid Rafieyan
Arezoo Nejaei

Water Supply (2021) 21 (8): 4328.

Construction of a spatio-temporal coupling model for groundwater level prediction: a case study of Changwu area, Yangtze River Delta region of China

Liang He
Manqing Hou
Suozhong Chen
Junru Zhang
Junyi Chen
Hui Qi

Water Supply (2021) 21 (7): 3790.

Discussion of ‘Modeling water table depth using adaptive Neuro-Fuzzy Inference System by Umesh Kumar Das, Parthajit Roy and Dillip Kumar Ghose (2017)

Reza Barati

ISH Journal of Hydraulic Engineering (2020) 26 (4): 468.

Groundwater level prediction using genetic programming: the importance of precipitation data and weather station location on model accuracy

Mahmood Sadat-Noori
William Glamore
Danial Khojasteh

Environmental Earth Sciences (2020) 79 (1)

Climatic data analysis for groundwater level simulation in drought prone Barind Tract, Bangladesh: Modelling approach using artificial neural network

Ripon Hasda
Md. Ferozur Rahaman
Chowdhury Sarwar Jahan
Khademul Islam Molla
Quamrul Hasan Mazumder

Groundwater for Sustainable Development (2020) 10: 100361.

Wavelet analyses of neural networks based river discharge decomposition

Lenin Campozano
Daniel Mendoza
Giovanny Mosquera
Kenneth Palacio‐Baus
Rolando Célleri
Patricio Crespo

Hydrological Processes (2020)

Modelling seasonal flow regime and environmental flow in Punarbhaba river of India and Bangladesh

Swades Pal
Swapan Talukdar

Journal of Cleaner Production (2020) 252: 119724.

Prediction of the karstic spring flow rates under climate change by climatic variables based on the artificial neural network: a case study of Iran

Nejat Zeydalinejad
Hamid Reza Nassery
Alireza Shakiba
Farshad Alijani

Environmental Monitoring and Assessment (2020) 192 (6)

Influences of watershed characteristics on long-term annual and intra-annual water balances over India

Jhilam Sinha
Srinidhi Jha
Manish Kumar Goyal

Journal of Hydrology (2019) 577: 123970.

Prediction of groundwater level in seashore reclaimed land using wavelet and artificial neural network-based hybrid model

Juan Zhang
Xiaoying Zhang
Jie Niu
Bill X. Hu
Mohamad Reza Soltanian
Han Qiu
Lei Yang

Journal of Hydrology (2019) 577: 123948.

Value-at-risk estimation by LS-SVR and FS-LS-SVR based on GAS model

Asma Nani
Imed Gamoudi
Mohamed El Ghourabi

Journal of Applied Statistics (2019) 46 (12): 2237.

Estimation of suspended sediment and dissolved solid load in a Mediterranean semiarid karst stream using log-linear models

Alberto Martínez-Salvador
Carmelo Conesa-García

Hydrology Research (2019) 50 (1): 43.

Comprehensive evaluation of multiple methods for assessing water resources variability of a lake–river system under the changing environment

Xuchun Ye
Chong-Yu Xu
Xianghu Li
Qi Zhang

Hydrology Research (2018) 49 (2): 332.

An Ensemble Real-Time Tidal Level Prediction Mechanism Using Multiresolution Wavelet Decomposition Method

Jian-Chuan Yin
Anastassios N. Perakis
Ning Wang

IEEE Transactions on Geoscience and Remote Sensing (2018) 56 (8): 4856.

Universal framework for hydrological time series probabilistic forecasting

SANG Yanfang
LI Xinxin
XIE Ping
LIU Yong

Journal of Lake Sciences (2018) 30 (3): 611.

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

Mohammad Rezaie-Balf
Ozgur Kisi

Hydrology Research (2018) 49 (3): 939.

Determining discharge coefficient of labyrinth and arced labyrinth weirs using support vector machine

Kiyoumars Roushangar
Mohammad Taghi Alami
Jalal Shiri
Mahdi Majedi Asl

Hydrology Research (2018) 49 (3): 924.

Regulation of deep groundwater based on MODFLOW in the water intake area of the South-to-North Water Transfer Project in Tianjin, China

Xiyuan Deng
Fawen Li
Yong Zhao
Shaofei Li

Journal of Hydroinformatics (2018) 20 (4): 989.

Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)

Andreas Wunsch
Tanja Liesch
Stefan Broda

Journal of Hydrology (2018) 567: 743.

Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques

Huanhuan Ba
Shenglian Guo
Yun Wang
Xingjun Hong
Yixuan Zhong
Zhangjun Liu

Hydrology Research (2018) 49 (3): 744.

Wavelet-genetic programming conjunction model for flood forecasting in rivers

Mani Kumar
Rajeev Ranjan Sahay

Hydrology Research (2018) 49 (6): 1880.

Drought forecasting using data-driven methods and an evolutionary algorithm

Seyed-Mohammad Hosseini-Moghari
Shahab Araghinejad
Ali Azarnivand

Modeling Earth Systems and Environment (2017) 3 (4): 1675.

Modelling of runoff and sediment yield using ANN, LS-SVR, REPTree and M5 models

Birendra Bharti
Ashish Pandey
S. K. Tripathi
Dheeraj Kumar

Hydrology Research (2017) 48 (6): 1489.

Groundwater budget forecasting, using hybrid wavelet-ANN-GP modelling: a case study of Azarshahr Plain, East Azerbaijan, Iran

This Feature Is Available To Subscribers Only