Spatiotemporal Groundwater Level Forecasting in Davarzan Plain

Taher Rajayee; Fatemeh Pouraslan

Volume 2, Issue 4 , January 2017, , Pages 1-19

Abstract
  Taher Rajayee[1]* Fatemeh Pouraslan[2] Abstract In this article, a hybrid, artificial neural network-geostatistics (Kriging) methodology is utilized to predict the spatiotemporal groundwater level in Davarzan plain in Khorasan Razavi province in Iran. The data for the study were the groundwater levels ...  Read More

Investigation of Groundwater Nitrate Pollution with Different Interpolation Methods (Case Study: East Azarbayjan, Bilverdy Plain)
Volume 1, Issue 1 , January 2015, , Pages 75-92

Abstract
  Abstract Nowadays application of geostatistical interpolation methods is very important in estimating the spatial distributions in all aspects of water science. Likewise, acquiring sound knowledge on the quality and conditions of the groundwater for different usages is vital. However, the measurement ...  Read More