Accurate simulation of wastewater effluent parameters is a vital concern to reduce the
operational costs of a wastewater treatment plant. In this way, a reliable predictive model is a …

Predicting evaporation is essential for managing water resources in basins. Improvement of
the prediction accuracy is essential to identify adequate inputs on evaporation. In this study …

Groundwater monitoring networks are direct sources of information for revealing subsurface
system dynamic processes. However, designing such networks is difficult due to …

Spring discharge always illustrates the groundwater-flux and aquifer storage oscillations.
Because of inherent heterogeneity in karst environments, it is essential to mimic karst spring …

Accurate prediction of soil temperature (T s) is critical for efficient soil, water and field crop
management. In this study, hourly T s variations at 5, 10, and 30 cm soil depth were …

This research introduces a method combining groundwater models and machine learning
(ML) algorithms to locate observation wells and design optimal Groundwater Level …

This paper presents a novel approach, ie a combination of gamma test and monitoring
priority map, for optimal design of groundwater monitoring network (GMN) by considering …

Groundwater monitoring is critically important, even though it is costly and often neglected.
In this study, a judgmental monitoring of groundwater offering solutions based on a cost and …

Groundwater monitoring networks represent the main source of information about water
levels and water quality within aquifers. In this paper, a method is proposed for the optimal …

Road construction has a negative environmental impact on the surrounding aquatic
environment, requiring the continuous monitoring of surface water quality. Here, optimization …