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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

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Assessment of Groundwater Hardness in Khorramabad plain Using Hybrid Models Based on Metaheuristic Algorithms

کلیدواژه: Groundwater, Khorramabad, Support Vector Regression, Metaheuristics

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Introduction: Over the past century, water scarcity has become a significant global issue due to climate change, population growth, urbanization, and agriculture. In response to this problem, groundwater resources have been used extensively for various purposes, including agriculture, industry, and ... ادامه

سال:2024

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Forecasting of Azarshahr plain Aquifer Response to the Climate Changes, Using Artificial Intelligence-System Dynamic Hybrid Model

کلیدواژه: climate change,Azarshahr,Artificial Intelligence,Bayesian Kriging,System Dynamic,Water resources management

نویسندگان: TAGHIPOUR ALI AKBAR, Docheshmeh Gorgich Alireza, ASGHARI MOGHADDAM ASGHAR, NADIRI ATA ALLAH

ناشر: جغرافیا و آمایش شهری - منطقه ای - GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT

Beside the improvement plans and climate change increasing during the last years and its effects on Azarshahr plain aquifer system, reveals the necessity of precise and applicable study about the aquifer situation. For this aim, Using the Artificial Intelligence, simulation and prediction of rainfal... ادامه

سال:2018

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Components Affecting Production Risk Management on Agricultural Crops Insurance Adoption (Case Study: Maize Farmers of Moghan plain)

کلیدواژه: Crop insurance,Degree of risk aversion,Maize farmers,Moghan Plain,Risk management

نویسندگان: SOOKHTANLOU M.

ناشر: اقتصاد و توسعه کشاورزی - Journal of Agricultural Economics & Development

Introduction: Moghan plain (Ardabil province) always has been considered as one of the important pillars of agriculture in Iran. However due to the new climatic changes, increasing occurrence of phenomena such as drought and reduction of water resources, and spread of pests and weeds, farmers facing... ادامه

سال:2019

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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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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

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