Volume 31 (2024)
Volume 30 (2023)
Volume 29 (2022)
Volume 28 (2021)
Volume 27 (2020)
Volume 9 (2019)
Volume 8 (2019)
Volume 26 (2019)
Volume 12 (2019)
Volume 10 (2019)
Volume 25 (2018)
Volume 24 (2017)
Volume 23 (2016)
Volume 22 (2015)
Volume 21 (2014)
Volume 20 (2013)
Volume 19 (2013)
Volume 18 (2011)
Volume 17 (2010)
Volume 16 (2009)
Volume 15 (2008)
Volume 14 (2007)
Volume 13 (2006)
Volume 7 (2000)
Volume 6 (1999)
Volume 11 ()
Management of rangelands by using artificial neural network in Nazlouchai rangelands in West Azarbayjan province

Mahshid Souri; mirfarhad blurfrush; Hirad Aghbari; javad motamedi; Behnaz Attaeian

Volume 27, Issue 3 , October 2020, , Pages 369-409

Abstract
       If the rangeland forage is used continuously, the important elements such as NPC do not return to the soil, which will cause the rangeland lands to lose their fertility. Therefore, nowadays, in the field of rangeland management, rangeland improvement and rehabilitation has become ...  Read More

Evaluation of Geomorphomety indicators in the semi-automatic separate Of Geomorphology types in desert areas (Case study: West North of Ardekan)

Mehdi Tazeh; Maryam Asadi; Rouhollah Taghizadeh Mehrjerdi; Saeedeh Kalantari; Majid Sadeghinia

Volume 25, Issue 1 , April 2018, , Pages 29-43

Abstract
  Geomorphological map is one of the main information layers in natural resources studies. So far, various methods have been proposed for the classification and separation of various units and Geomorphological types, most of which are based on qualitative and descriptive information. In this study, the ...  Read More

Nomination the most suitable of input combination of artificial neural networks method to purpose nomination the Wind parameters on the prospect of dust storms phenomenon (case study: yazd province)

Mohsen Yousefi; leila kashi zenouzi

Volume 22, Issue 2 , August 2015, , Pages 240-250

Abstract
  The aim of this study was to determine some factors affecting dust storms phenomenon using different methods. In order to determine the best-input combination, variable reduction techniques such as factor analysis (maximum likelihood, principal component analysis), Gama test, and multivariate forward ...  Read More

Application of artificial neural networks in dust storm prediction (case study: Zabol city)

Mohammad reza Jamalizadeh Tajabadi; Ali reza Moghadam nia; Jamshid piri; Mohammad reza Ekhtesasi

Volume 17, Issue 2 , September 2010, , Pages 205-220

Abstract
  Dust storms are common climatic events in arid, semi arid and desert regions of the world. These events impact human resources by foundation losses, every year. Accurate prediction of these events can be effective for decision support in environmental, health, army, and other related fields. An artificial ...  Read More