Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
F Fahimi, ZM Yaseen, A El-shafie - Theoretical and applied climatology, 2017 - Springer
Since the middle of the twentieth century, artificial intelligence (AI) models have been used
widely in engineering and science problems. Water resource variable modeling and …
widely in engineering and science problems. Water resource variable modeling and …
A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
An accurate computational approach for the prediction of pan evaporation over daily time
horizons is a useful decisive tool in sustainable agriculture and hydrological applications …
horizons is a useful decisive tool in sustainable agriculture and hydrological applications …
Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran
M Ali Ghorbani, R Kazempour, KW Chau… - Engineering …, 2018 - Taylor & Francis
Accurate simulation of evaporation plays an important role in the efficient management of
water Resources. Generally, evaporation is measured using the direct method where Class …
water Resources. Generally, evaporation is measured using the direct method where Class …
Groundwater prediction using machine-learning tools
Predicting groundwater availability is important to water sustainability and drought
mitigation. Machine-learning tools have the potential to improve groundwater prediction …
mitigation. Machine-learning tools have the potential to improve groundwater prediction …
Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms
Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore,
water loss must be precisely measured. Evaporation is an intricate nonlinear process …
water loss must be precisely measured. Evaporation is an intricate nonlinear process …
Improved prediction of daily pan evaporation using Deep-LSTM model
Precise measurement or estimation of evaporation losses is extremely important for the
development of water resource management strategies and its effective implementation …
development of water resource management strategies and its effective implementation …
Application of long short-term memory neural network technique for predicting monthly pan evaporation
Evaporation is a key element for water resource management, hydrological modelling, and
irrigation system designing. Monthly evaporation (Ep) was projected by deploying three …
irrigation system designing. Monthly evaporation (Ep) was projected by deploying three …
How reliable are CMIP5 models in simulating dust optical depth?
Dust aerosol plays an important role in the climate system by affecting the radiative and
energy balances. Biases in dust modeling may result in biases in simulating global energy …
energy balances. Biases in dust modeling may result in biases in simulating global energy …
Projection of American dustiness in the late 21st century due to climate change
Climate models project rising drought risks over the southwestern and central US in the
twenty-first century due to increasing greenhouse gases. The projected drier regions largely …
twenty-first century due to increasing greenhouse gases. The projected drier regions largely …