In this paper, Infiltration rate of the soil is investigated by using predictive models of Random
forest regression and their performance were compared with Artificial neural network (ANN) …

This paper aims to predict the unsaturated hydraulic conductivity of soil using Adaptive
Neuro-fuzzy inference system (ANFIS), Multi-Linear Regression (MLR), and artificial neural …

Infiltration models are very helpful in designing and evaluating surface irrigation systems.
The main objective of the present work is estimation and inter-comparison of infiltration …

Artificial recharge (AR) of treated wastewater (TWW) has been widely applied in arid areas
as a promising technique to replenish groundwater and control the depletion of aquifers …

The semi-arid regions of central Iran have vastly undergone the manipulation and
conversion of rangelands to dry farmlands. Soil hydraulic properties and pore characteristics …

Predicting the infiltration rate (IR) of treated wastewater (TWW) is essential in controlling
clogging problems. Most researchers that predict the IR using neural network models …

The aim of the present investigation is to evaluate the performance of infiltration models
used to calculate the infiltration rate of the soils. Ten different locations were chosen to …

As an important part of the hydrological cycle, preferential flow significantly improves
infiltration properties and limits the ability of soil to store, filter, and buffer water. However, the …

Detailed knowledge about soil characteristics and site-specific final steady infiltration rate
could help to increase the irrigation water use efficiency and decrease water losses in …

Climate change and urbanization increase the pressure on combined sewer systems in
urban areas resulting in elevated combined sewer overflows, degraded water quality in …