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Evaluation of Hybrid Metaheuristic Models in Estimating Electrical conductivity (Case Study: Kakarza River, Lorestan Province)

کلیدواژه: Kakarza River, water quality, Electrical conductivity, Wavelet

نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza

ناشر: پژوهش های خشکسالی و تغییر اقلیم - Journal of Drought and Climate Change Research

Electrical conductivity (EC) is an important indicator for monitoring water quality in Rivers. Electrical conductivity is inherently related to the concentration of dissolved ionic compounds present in aquatic environments, including various salts and minerals. Estimating Electrical conductivity is ... ادامه

سال:3

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Performance Evaluation of ARIMA Hybrid Models in the Prediction of Daily Electrical conductivity (A Case Study of Telazang Hydrometric Station)

کلیدواژه: Water quality,Neural fuzzy inference network,Arima,Neural network,Hybrid models

نویسندگان: AHMADPOUR A., MIRHASHEMI S.H., HAGHIGHATJOU P., Raisi Sistani M.R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of water and Soil Science

In this study, we used the ARIMA time series model, the fuzzy-neural inference network, multi-layer perceptron artificial neural network, and ARIMA-ANN, ARIMA-ANFIS hybrid models for the modeling and prediction of the daily Electrical conductivity parameter of daily teleZang hydrometric station over... ادامه

سال:2020

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Modeling of River quality Parameters Using Hybrid Time Series Models (Case Study: Gedarchay River)

کلیدواژه: Contemporaneous Models,Linear Models,Multivariate Models,Time series,Water Quality

نویسندگان: Sepehri L., KHALILI K.

ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage

In this research, in order to study and evaluate the accuracy of single-variable time series models, multivariables time series and hybrid models in modeling the River flow quality values in the Peygale hydrometric station located in the west of Lake Urmia from data The qualitative flow of the River... ادامه

سال:2019

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Investigation of Dissolved Oxygen Levels in the Karun River water Using Hybrid Models Based on Support Vector Regression

کلیدواژه: Dissolved Oxygen, Support vector regression, Karun, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Oxygen plays a vital role in maintaining the balance of life cycles in all ecosystems. Aquatic life is highly sensitive to dissolved oxygen (DO) levels. This necessitates not only continuous monitoring of DO in aquatic environments but also the development of accurate predictive models for future DO... ادامه

سال:2024

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Evaluation of the Neuro-Fuzzy and Hybrid Wavelet-Neural Models Efficiency in River Flow Forecasting (Case Study: Mohmmad Abad watershed)

کلیدواژه: Daily flow time series,Flow forecasting,Neuro-fuzzy model,Wavelet-neural model

نویسندگان: Niromandfard Fariba, KHASHEI SIUKI ABBAS, SHAHIDI ALI

ناشر: پژوهشنامه مدیریت حوزه آبخیز - Journal of watershed Management Research

One of the most important issues in watersheds management is rainfall-runoff hydrological process forecasting. Using new models in this field can contribute to proper management and planning. In addition, River flow forecasting, especially in flood conditions, will allow authorities to reduce the ri... ادامه

سال:2019

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The Role of water Accounting and Auditing in water Governance

کلیدواژه: Water Accounting, Water Auditing, Water Governance, Water allocation, Sustainable development

نویسندگان: Taheri Seyedeh Mohaddeseh, Abdollahpour Masoud, Davary Kamran

ناشر: آب و توسعه پایدار - JOURNAL OF water AND SUSTAINABLE DEVELOPMENT

In this Conceptual-analytical article, the concept of water accounting and the necessity of the role of water accounting in water governance have been explained, as well as the correction of common previous beliefs and assumptions, and the step-by-step description of the water accounting cycle. For ... ادامه

سال:2025

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Prediction of Monthly River Flow Using Hybridization of Linear Time Series Models and Bayesian network (Case Study: Bakhtiari River)

کلیدواژه: Bayesian network,Input pattern,Model development,Stationary test

نویسندگان: AHMADI FARSHAD, VALINIA MIR MAHMOOD

ناشر: مدیریت آب و آبیاری - Journal of water and Irrigation Management

One of the most important issues in water resources management is the preparation and development of appropriate models in order to predict the streamflow more accurately. For this purpose, in the present study, linear time series models (ARMA), intelligent Bayesian network (BN) and BN-ARMA hybrid m... ادامه

سال:2020

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The Potential of the Hybrid Support Vector Regression Model for Predicting River Sediment Discharge (Case Study: Keshkan-Lorestan River)

کلیدواژه: Kashkan, Support vector regression, suspended sediments, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Providing a robust and reliable predictive model for River sediment discharge is an essential task for several environmental and geomorphological perspectives, including water quality, Riverbed engineering sustainability, and aquatic habitats. In this research, a new hybrid intelligent approach base... ادامه

سال:2023

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New Approach for Prediction of water Distribution Network Pipes Failure Based on a Intelligent Hybrid Model (Case Study: Gorgan water Distribution Network)

کلیدواژه: Gorgan,Hybrid Model,Intelligent Model,Pipe Failure Rate,Urban Water Distribution Network

نویسندگان: JAFARI S.M., ZAHIRI A., BOZORG HADAD O., MOHAMMAD REZAPOUR TABARI M.

ناشر: پژوهش های حفاظت آب و خاک - Journal of water and Soil Conservation

Background and Objectives: Urban water distribution networks consider as one of the essential infrastructural facilities and equipment in urban areas. The pipes are one of the primary and essential components of a water distribution network break during operation due to various factors. So, developi... ادامه

سال:2021

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Using Hybrid Wavelet-Support Vector Machine and Wavelet-Neural Network Models for Groundwater Level Prediction in Ardabil Plain

کلیدواژه: SVM,Wavelet transfor,SOM,Groundwater,Ardabil plain

نویسندگان: Daneshvar Vousoughi Farnaz, Manafian azar Vahid

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Groundwater has played an important role in the urban and rural water supply and agriculture. In order to manage water resources, an accurate and reliable groundwater level forecasting is needed. In this research, 15 piezometers in Ardabil plain were used. SVM was applied for a prediction method in ... ادامه

سال:2019

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