[HTML][HTML] A basic review of fuzzy logic applications in hydrology and water resources

S Kambalimath, PC Deka - Applied Water Science, 2020 - Springer
In recent years, fuzzy logic has emerged as a powerful technique in the analysis of
hydrologic components and decision making in water resources. Problems related to …

Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques

A Moghaddamnia, MG Gousheh, J Piri, S Amin… - Advances in Water …, 2009 - Elsevier
Evaporation, as a major component of the hydrologic cycle, plays a key role in water
resources development and management in arid and semi-arid climatic regions. Although …

Pan evaporation modeling using six different heuristic computing methods in different climates of China

L Wang, O Kisi, M Zounemat-Kermani, H Li - Journal of Hydrology, 2017 - Elsevier
Pan evaporation (Ep) plays important roles in agricultural water resources management.
One of the basic challenges is modeling Ep using limited climatic parameters because there …

Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data

G Zhao, H Gao, X Cai - Remote Sensing of Environment, 2020 - Elsevier
Global lake evaporation is a critical component of the terrestrial water cycle. Accurate
quantification of lake evaporation dynamics is of high importance for understanding lake …

Using adaptive neuro-fuzzy inference system for hydrological time series prediction

M Zounemat-Kermani, M Teshnehlab - Applied soft computing, 2008 - Elsevier
Conventionally, the multiple linear regression procedure has been known as the most
popular models in simulating hydrological time series. However, when the nonlinear …

Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an …

A Seifi, H Riahi - Journal of Water and Climate Change, 2020 - iwaponline.com
In this study, a hybrid model of least square support vector machine-gamma test (LSSVM-
GT) is proposed for estimating daily ETo under arid conditions of Zahedan station, Iran …

An adaptive neuro-fuzzy inference system (ANFIS) to predict of cadmium (Cd) concentrations in the Filyos River, Turkey

AY Sonmez, S Kale, RC Ozdemir, AE Kadak - Turkish Journal of Fisheries …, 2018 - trjfas.org
Water quality is one of the main characteristics of a river system and prediction of water
quality is the key factor in water resource management. Different physical, biological and …

Statistical downscaling of precipitation using machine learning with optimal predictor selection

MR Najafi, H Moradkhani, SA Wherry - Journal of Hydrologic …, 2011 - ascelibrary.org
Various methods have been proposed to downscale the coarse resolution general
circulation model (GCM) climatological variables to the fine-scale regional variables; …

Daily pan evaporation modeling in a hot and dry climate

J Piri, S Amin, A Moghaddamnia… - Journal of Hydrologic …, 2009 - ascelibrary.org
Evaporation plays a key role in water resources management in arid and semiarid climatic
regions. This is the first time that an artificial neural network (ANN) model is applied to …

A comparative study of daily pan evaporation estimation using ANN, regression and climate based models

PB Shirsath, AK Singh - Water resources management, 2010 - Springer
Evaporation estimates are needed for efficient management of water resources at a farm
scale as well as at a regional or catchment scale. This paper presents application of artificial …