Volume 16 (2024-2025)
Volume 15 (2023-2024)
Volume 14 (2022-2023)
Volume 13 (2021-2022)
Volume 12 (2020-2021)
Volume 11 (2019-2020)
Volume 10 (2018-2019)
Volume 9 (2017-2018)
Volume 8 (2016-2017)
Volume 7 (2015-2016)
Volume 6 (2014-2015)
Volume 5 (2013-2014)
Volume 4 (2012-2013)
Volume 3 (2011-2012)
Volume 2 (2010-2011)
Volume 1 (2009-2010)
Author = Shabani, Mohammad
Number of Articles: 5
The accuracy evaluation of artificial neural networks in estimating instantaneous peak flow, Case study: Fars province watersheds
Volume 4, Issue 4 , February 2013, , Pages 179-187
Abstract
Estimating instantaneous peak flow in watershed is one of the most important problems that cause hydrologists and experts to work seriously on it. One the new methods in river engineering and suspended sediment estimation is application of artificial neural networks which uses the same algorithm of human ... Read MoreDetermining the most suitable interpolation method for groundwater chemical characteristics mapping
Volume 3, Issue 4 , January 2012, , Pages 196-204
Abstract
Selection and accuracy of the appropriate methods for zonation and preparing the map of groundwater quality parameters depend on regional condition and availability of data which is an important stage for groundwater management of the region. The purpose of this research is determining the most suitable ... Read MoreEvaluation of geostatistical methods for rainfall erosivity mapping, Fars province
Volume 3, Issue 3 , December 2011, , Pages 168-176
Abstract
Rainfall erosivity is one of the effective factors on rainfall erosion which is very important in water erosion. Preparing rainfall erosivity mapping is an important issue in soil conservation, erosion control and land management. The objective of this research is evaluation of geostatistical methods ... Read MoreInvestigating geostatistical techniques in predicting some groundwater quality parameters, case study: Arsanjan plain
Volume 2, Issue 2 , July 2010, , Pages 116-122
Abstract
Increasing and preserving water quality requires sufficient data of the location, value as well as spatial distribution of the chemical factors. Preparation of the updated maps of groundwater salinity variation and salt concentration is an important step for appropriate management and its exploitation. ... Read MoreComparison of the efficiency of artificial neural networks method and regression model, sediment rating curve, for daily suspended sediment estimation
Volume 1, Issue 4 , February 2010, , Pages 240-247