This study presents a Fuzzy Markov groundwater pollution potential assessment approach to facilitate landfill siting analysis. Landfill siting is constrained by various regulations and is complicated by the uncertainty of groundwater related factors. The conventional static rating method cannot properly depict the potential impact of pollution on a groundwater table because the groundwater tabl...

The main goal of this study was to investigate the analytical hierarchy process (AHP), frequency ratio (FR), and certainty factor (CF) models for groundwater potential mapping using geographical information system (GIS) at Varamin Plain, Tehran province, Iran. In the first step, the groundwater conditioning factors such as altitude, slope angle, slope aspect, topographic witness index, rainfall...

This paper explores the implications of endogenous risk for the economic value of preventing groundwater contamination. We consider the analytical implications of endogenous risk for five key building blocks frequently used to structure studies of groundwater valuation: the probability and the location of contamination, the exposed population, risk perceptions, and intertemporal issues.

Disposal of saline drainage water is a significant problem for irrigated agriculture. One proposal is to recycle drainage water to irrigate salt tolerant crops until the volume has been reduced sufficiently to enable final disposal by evaporation. Part of this concept requires in-situ crop water use from shallow groundwater; and data is needed to quantify the potential use of groundwater by alt...

Background and Purpose: Elevated nitrate concentrations in drinking water can cause methemoglobinemia in infants, stomach cancer in adults and nitrate poisoning in animals as well. Modeling of nitrate fate and transport in groundwater to minimize nitrate concentration in groundwater has been studied by numerous researchers. Materials and Methods: In order to determine the pote...

prediction of the heavy metals in the groundwater is important in developing any appropriate remediation strategy. this paper attempts to predict heavy metals (pb, zn and cu) in the groundwater from arak city, using artificial neural network (ann) algorithm by taking major elements (hco3, so4) in the groundwater from arak city. for this purpose, contamination sources in the groundwater were rec...

introduction: ground water as a dynamic and recyclable natural resource in fractured rock terrains are characterized by single and double fracture porosity models. due to the heterogeneous nature of the medium hydraulic properties of these rocks are mainly controlled by fracturing and influenced by multivariate parameters. this heterogeneity is due to various compactions , density of fractures ...

This study mapped and analyzed groundwater potential using two different models, logistic regression (LR) and multivariate adaptive regression splines (MARS), and compared the results. A spatial database was constructed for groundwater well data and groundwater influence factors. Groundwater well data with a high potential yield of ≥70 m3/d were extracted, and 859 locations (70%) were used for ...

The Latrobe Valley has an extensive monitoring network to measure the environmental impacts of mining and power generation operations. Regional groundwater and topographic survey data have been recorded for over 40 years. This data is used to calibrate mathematical models for the prediction of groundwater drawdown and subsidence. The concept of artificially recharging aquifers through re-inject...