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Evaluation of a machine-based learning method to estimate the rate of nitrate penetration and groundwater contamination
Groundwater is among the most important water resources around the globe. However, their
contaminations are more difficult, costly, and time-consuming to detect and control than …
contaminations are more difficult, costly, and time-consuming to detect and control than …
The impact of climate change on reference evapotranspiration in Mazandaran Province
A Babolhekami, MA Gholami Sefidkouhi… - Iranian journal of soil …, 2020 - ijswr.ut.ac.ir
Greenhouse gas emissions cause warming and impacting climate components and
consequently affecting water demand in agricultural sector. This study aimed to identify the …
consequently affecting water demand in agricultural sector. This study aimed to identify the …
Performance Comparison of statistical, fuzzy and perceptron neural network models in forecasting dust storms in critical regions in Iran
Different regions have different potentials in dust release, and the increase in dust storms
indicates the dominance of the desert ecosystem in each region. Prediction of the …
indicates the dominance of the desert ecosystem in each region. Prediction of the …
Estimation of the local scour from a cylindrical bridge pier using a compilation wavelet model and artificial neural network
In the present study, an artificial neural network and its combination with wavelet theory are
used as the computational tool to predict the depth of local scouring from the bridge pier …
used as the computational tool to predict the depth of local scouring from the bridge pier …
Evaluation of the effect of scenarios in the 6th report of IPCC on the prediction groundwater level using the non-linear model of the input-output time series
F Niroumand Fard, A Khashei Siuki… - Environmental …, 2023 - Springer
Due to the increase in greenhouse gases, water and climate crises, increasing population,
and decreasing water resources, accurately predicting the changes in the GWL is essential …
and decreasing water resources, accurately predicting the changes in the GWL is essential …
[PDF][PDF] Assessing the impact of climate change on drought and forecasting Neka river basin runoff in future periods
A Babolhakami, MA Gholami Sefidkouhi… - Iranian journal of …, 2020 - ije.ut.ac.ir
Several studies have shown that climate change will have severe impacts on available
water resources worldwide. Due to the effect of climate change on droughts and river flow, it …
water resources worldwide. Due to the effect of climate change on droughts and river flow, it …
Performance Evaluation of Genetic Algorithm and GA-SA Hybrid Method in Forecasting Dust Storms (Case Study: Khuzestan Province)
The increase in dust storms occurrence in recent years in southwestern Iran, especially in
Khuzestan province, and consequently the decrease in air quality in these areas, has …
Khuzestan province, and consequently the decrease in air quality in these areas, has …
[PDF][PDF] Introducing a nonlinear model based on hybrid machine learning for modeling and prediction of precipitation and comparison with SDSM method (Case study …
In the present study, a nonlinear hybrid model, based on multivariate adaptive regression
splines (MARS), artificial neural networks (ANN) and K-nearest neighbor (KNN) has been …
splines (MARS), artificial neural networks (ANN) and K-nearest neighbor (KNN) has been …
[PDF][PDF] Uncertainty analysis of water distribution planning in mian-ab irrigation network in shooshtar plain: application of genetic algorithm and simulated annealing
S Khoshnavaz - Iranian Journal of Soil and Water Research, 2020 - journals.ut.ac.ir
Allocated water for agricultural crops in a crop** pattern in different regions and seasons
is faced with much variation. Therefore, the cultivation of each crop is subject to climatic …
is faced with much variation. Therefore, the cultivation of each crop is subject to climatic …
مقایسه کارایی شبکههای عصبی آماری، فازی و پرسپترونی در پیشبینی طوفانهای گردوغبار در نواحی بحرانی کشور
انصاری قوجقار, پورغلام آمیجی, بذرافشان, لیاقت… - تحقیقات آب و خاک …, 2020 - ijswr.ut.ac.ir
مناطق مختلف، استعدادهای متفاوتی در انتشار گردوغبار دارند و افزایش طوفانهای گردوغبار
نشاندهنده حاکمیت اکوسیستم بیابانی در هر منطقه است. درک صحیح وقوع طوفانهای گردوغبار در هر …
نشاندهنده حاکمیت اکوسیستم بیابانی در هر منطقه است. درک صحیح وقوع طوفانهای گردوغبار در هر …