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Evaluation of the Accuracy of Wavelet-Neuro-Fuzzy, Neuro-Fuzzy, and Wavelet Hybrid Models in GroundWater Level Prediction (Case Study: Birjand plain)

کلیدواژه: Wavelet analysis, Groundwater Level, Birjand plain, Fuzzy Neural Network, Water resources management

نویسندگان: Dastuorani Mehdi, Khayat Amir, Akhondi Zahra

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Given the scarcity of Water resources and the importance of their optimal management, accurate prediction of GroundWater Level fluctuations is essential. Intelligent models such as time series, Wavelet analysis, artificial Neural Networks, and support vector machines can help in the sustainable u... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

12 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

11 بازدید

مشاهده/دانلود

Modeling GroundWater Level in Delfan plain, Lorestan Province, Using Hybrid Metaheuristic Models

کلیدواژه: Groundwater Level, Artificial neural network, Metaheuristic optimization, Delfan plain

نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

GroundWater is often a crucial source of freshWater worldwide, particularly in arid and semi-arid regions. In these areas, GroundWater resources are vital due to variable rainfall and high evaporation rates. GroundWater use is increasing in arid and semi-arid regions due to population growth, rapid ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

13 بازدید

مشاهده/دانلود

Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord

نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.

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

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as Water resources management. In this research, artificial Neural Networks, Neural Network Wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

مشاهده/دانلود

Simulation of GroundWater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme Learning Machine

کلیدواژه: Artificial intelligence,Groundwater aquifer,Hybrid model,Kabodarahang,Simulation

نویسندگان: MALEKZADEH MARYAM, KARDAR SAEID, SHABANLOU SAEID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

In present study, the GroundWater Level of the Kabodarahang region located in Hamadan Province was simulated using novel techniques such as Self-Adaptive Extreme Learning Machine (SAELM) and WaveletSelf-Adaptive Extreme Learning Machine (WA-SAELM). Firstly, the effective lags were detected using the... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water resources Research (IWRR)

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption Prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and WasteWater

The prediction of Water consumption in urban basins is of immense importance for the management of Water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

مشاهده/دانلود

Prediction of GroundWater Level Changes Using Hybrid Wavelet Self-Adaptive Extreme Learning Machine Model-Observation Well of Sarab Qanbar, Kermanshah

کلیدواژه: Groundwater level,Self-Adaptive Extreme Learning Machine (SAELM),Uncertainty analysis,Wavelet transform

نویسندگان: Yosefvand f., SHABANLOU S.

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

In this study, the GroundWater Level (GWL) of the Sarab Qanbar region located in the south of Kermanshah, Iran, was estimated using the Wavelet-Self-Adaptive Extreme Learning Machine (WA-SAELM) model. An artificial intelligence method called “ Self-Adaptive Extreme Learning Machine” an... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Prediction of Meteorological Droughts in Kuhrang Using the Hybrid Model of Wavelet and Artificial Neural Network

کلیدواژه: Meteorological Drought, WANN model, ANN Model, SPI Index, RDI index, Kuhrang

نویسندگان: Bahrami Samani Marziyeh, Mirabbasi Najafabadi Rasoul, Ghasemi Dastgerdi Ahmad Reza, Abdollahi AsadAbadi Sajjad

ناشر: علوم و مهندسی آبیاری - Journal of Irrigation Sciences and Engineering

Meteorological drought is defined as a lack of rainfall over long periods, which reduces soil moisture and river flow. One of the critical drought assessment tools is drought indices (Tsakiris & Vangelis, 2005). So far, many drought indicators have been developed by researchers, for example, the RDI... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

14 بازدید

مشاهده/دانلود

Hybrid Learning Machine Metaheuristic Model for Estimating GroundWater Level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

GroundWater is the most reliable source of supply for potable Water and supports a wide array of economic and environmental services. There is a significant concern that GroundWater Levels are declining due to intense aquifer use. The sustainable management of GroundWater resources requires good pla... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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