groundwater is the most widely distributed resource of the earth and groundwater quality evolves rapidly as it passes through the subsurface pathways within the unsaturated zone. increasing urbanization and anthropogenic activities have added to the problem of deficient amount of good quality groundwater. the study area is an industrial hub for textile sector. textile production, particularly d...

yazd province is one of the most arid regions of iran and its agriculture particularly pistachio cultivation depends on groundwater resources. in the recent decades, natural factors (drought and severe evaporation) and human activities (over- exploitation of groundwater) caused a sharp decline in the quality and quantity of groundwater in this province. in the present study, the spatial and tem...

analytical results of 11 groundwater samples are used to evaluate the quality of groundwater in the hastijan area, (central province –iran). the main indices of water, ions physicochemical characteristics and the important heavy metals concentration studied. to estimate of water quality, piper, ghibbs, schoeller and wilcox diagrams, sodium absorption ratio, color-alkalinity and saturation index...

in this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the shabestar plain, iran. after initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (ga-bp) should be able to reproduce groundwater ...

The losses of water by evapotranspiration and evaporation from soil were investigated during two seasons from wheat and lupin crops sown at two times. Evapotranspiration was measured using ventilated chambers and microlysimeters were used within the chambers to measure evaporation from the soil surface. These techniques allowed the partitioning of evapotranspiration into its two components. In ...

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...

the planning of water resources is based on the volume of water extracted from the aquifer and accurate estimate of this volume considerably helps to development. in this study, the bayesian networks model using continues and clustering structures was used to simulate the groundwater level of birjand aquifer. bayesian networks was calibrated with five input variables of aquifer recharge, water ...

Local groundwater levels in South India are falling alarmingly. In the semi-arid crystalline Deccan plateau area, agricultural production relies on groundwater resources. Downscaled Global Climate Model (GCM) data are used to force a spatially distributed agro-hydrological model in order to evaluate Climate Change (CC) effects on local groundwater extraction (GWE). The slight increase of precip...