Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Managed aquifer recharge (MAR) replenishes groundwater by artificially entering water into
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …
Prediction of soil water infiltration using multiple linear regression and random forest in a dry flood plain, eastern Iran
MR Pahlavan-Rad, K Dahmardeh, M Hadizadeh… - Catena, 2020 - Elsevier
Abstract Knowledge of the spatial variation of soil infiltration is necessary for managing
water conservation, salinity, and precision agriculture in drylands. In this study, the spatial …
water conservation, salinity, and precision agriculture in drylands. In this study, the spatial …
[HTML][HTML] Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
Study region Sixteen different sites from two provinces (Lorestan and Illam) in the western
part of Iran were considered for the field data measurement of cumulative infiltration …
part of Iran were considered for the field data measurement of cumulative infiltration …
Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity
Hydraulic conductivity of soil reveals its influencing role in the studies related to
management of surface and subsurface flow, eg irrigation and drainage projects, and solute …
management of surface and subsurface flow, eg irrigation and drainage projects, and solute …
[HTML][HTML] Performance improvement for infiltration rate prediction using hybridized adaptive neuro-fuzzy inferences system (ANFIS) with optimization algorithms
The infiltration process during irrigation is an essential variable for better water management
and hence there is a need to develop an accurate model to estimate the amount infiltration …
and hence there is a need to develop an accurate model to estimate the amount infiltration …
Experimental study and modelling discharge coefficient of trapezoidal and rectangular piano key weirs
Crest length is an important parameter in influencing the discharge handling capacity of a
weir. Nonlinear weirs with longer crests are cost effective alternatives for those existing dam …
weir. Nonlinear weirs with longer crests are cost effective alternatives for those existing dam …
Modelling of infiltration using artificial intelligence techniques in semi-arid Iran
Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow,
and surface and subsurface water quality and quantity. In this study, adaptive neuro-fuzzy …
and surface and subsurface water quality and quantity. In this study, adaptive neuro-fuzzy …
A Comparative Analysis of Data‐Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates
Infiltration is a vital phenomenon in the water cycle, and consequently, estimation of
infiltration rate is important for many hydrologic studies. In the present paper, different data …
infiltration rate is important for many hydrologic studies. In the present paper, different data …
Modeling the flow rate of dry part in the wet gas mixture using decision tree/kernel/non-parametric regression-based soft-computing techniques
Z Dayev, G Shopanova, B Toksanbaeva… - Flow Measurement and …, 2022 - Elsevier
Owing to its importance in extraction of natural gas from underground gas storage as well as
its crucial role in determination of final gas mixture in the production facilities of gas/oil …
its crucial role in determination of final gas mixture in the production facilities of gas/oil …
Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques
Rain garden is effective in reducing storm water runoff, whose efficiency depends upon
several parameters such as soil type, vegetation and meteorological factors. Evaluation of …
several parameters such as soil type, vegetation and meteorological factors. Evaluation of …