Assessing groundwater quality for irrigation using indicator kriging method

Groundwater Level Forecasting Using Wavelet and Kriging

In this research, a hybrid wavelet-artificial neural network (WANN) and a geostatistical method were proposed for spatiotemporal prediction of the groundwater level (GWL) for one month ahead. For this purpose, monthly observed time series of GWL were collected from September 2005 to April 2014 in 10 piezometers around Mashhad City in the Northeast of Iran. In temporal forecasting, an artificial...

Spatial Assessment of Groundwater Quality Monitoring Wells Using Indicator Kriging and Risk Mapping, Amol-Babol Plain, Iran

The main aim of monitoring wells is to assess the conditions of groundwater quality in the aquifer system. An inappropriate distribution of sampling wells could produce insufficient or redundant data concerning groundwater quality. An optimal selection of representative monitoring well locations can be obtained by considering the natural and anthropogenic potential of pollution sources; the hyd...

Determination of groundwater quality based on important irrigation indices using analytical hierarchy process method

The purpose of this research is the zoning of groundwater quality for agriculture usages in the Eyvanakey plain, conjugating Interpolation methods by Geographic Information System (GIS) and selection of the best weights in Analytical Hierarchy Process (AHP). Achieving this aim, groundwater quality data from 19 wells in Eyvanakey plain were used. First, raster maps of the study area was prepared...

Mapping Spatial Thematic Accuracy Using Indicator Kriging

study of spatial and temporal variations of groundwater salinity in yazd province using indicator kriging geostatistical method

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...