Prediction of aquifer properties from vertical electrical sounding data using artificial neural network: case study of Ibadan Metropolis, South-western Nigeria
نویسندگان
چکیده
منابع مشابه
scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Estimation of Hydrodynamic Coefficients of Zouzan Plain Aquifer Using of Electrical Sounding Data
Knowledge of hydrodynamic coefficients is necessary for the determination of natural water flow through an aquifer and management of ground water resource. In this study, in order to determination of hydrodynamic coefficients of Zouzan aquifer results of 112 electrical sounding have been used. Quantitative interpretation was done by using IPI2WIN. Values of formation factor and porosity were de...
متن کاملPrediction of monthly rainfall using artificial neural network mixture approach, Case Study: Torbat-e Heydariyeh
Rainfall is one of the most important elements of water cycle used in evaluating climate conditions of each region. Long-term forecast of rainfall for arid and semi-arid regions is very important for managing and planning of water resources. To forecast appropriately, accurate data regarding humidity, temperature, pressure, wind speed etc. is required.This article is analytical and its database...
متن کاملPrediction of ultimate strength of shale using artificial neural network
A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...
متن کاملGroundwater level simulation using artificial neural network: a case study from Aghili plain, urban area of Gotvand, south-west Iran
In this paper, the Artificial Neural Network (ANN) approach is applied for forecasting groundwater level fluctuation in Aghili plain,southwest Iran. An optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (GDM), levenberg marquardt (LM), resilient back propagation (RP), and scaled conjugate gradient (SCG). Rain,evaporation, relative...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: NRIAG Journal of Astronomy and Geophysics
سال: 2020
ISSN: 2090-9977
DOI: 10.1080/20909977.2020.1831305