Volume 21 (2023)
Volume 20 (2022-2023)
Volume 19 (2021-2022)
Volume 18 (2020-2021)
Volume 17 (2019-2020)
Volume 16 (2018-2019)
Volume 15 (2017-2018)
Volume 14 (2016-2017)
Volume 13 (2015-2016)
Volume 12 (2014-2015)
Volume 11 (2013-2014)
Volume 10 (2012-2013)
Volume 9 (2011-2012)
Volume 8 (2010-2011)
Volume 7 (2009-2010)
Volume 6 (2008-2009)
Volume 5 (2007-2008)
Volume 4 (2006-2007)
Volume 3 (2005-2006)
Volume 2 (2004-2005)
Volume 1 (2003-2004)
Evaluation of dust emission using artificial neural network model of Kashan city

Elham Pourmaafi Esfahani; Ali Almodaresi; Mohammad Mousaei Sanjerehei; Hamed Hghparast

Volume 21, Issue 2 , July 2023, , Pages 69-80


  Introduction: Today, dust phenomena are among the most important environmental hazards and pose a serious threat to human health and the environment. Dust in barley as one of the pollutants has various adverse effects and negative consequences, among which can be reduced growth and yield of agricultural ...  Read More

Cd modeling of soils around Garmsar salt mines based on artifical neural network (MLP) model

Somayeh Moharami; Mahdi Sadeghi Pour Marvi; Rahman Sharifi

Volume 21, Issue 2 , July 2023, , Pages 153-168


  Introduction: During the past two decades, computer aid models for simulation of heavy metals have been remarkably developed. Prediction of soil pollution plays an important role in pollution control and land management. But in large areas, collecting data in a direct way is challenging in terms of cost ...  Read More

Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis)

Omid Ashkriz; Babak Mirbagheri; Ali Akbar Matkan; Alireza Shakiba

Volume 19, Issue 4 , January 2022, , Pages 183-204


  Introduction: Urban growth has accelerated in recent decades, therefore, predicting the future growth pattern of the city is very important to prevent environmental, economic, and social problems. The city of Tabriz has also experienced rapid growth of urban lands due to significant demographic changes, ...  Read More

Modeling the relationship between cadmium and some soil physical and chemical properties in Pistachio orchards using regression and artificial neural network

Seyed Javad Hosseinifard; Hossein Shirani; ُSomaye Sadr; Hakimeh Hashemipour

Volume 17, Issue 3 , October 2019, , Pages 177-188


  Introduction: Increasing concentrations of heavy metals in the environment have raised serious environmental concerns. Cadmium is one of the most toxic heavy elements in organisms and it has no biological role. So far, little research has been done on the status of heavy metals in pistachio orchards ...  Read More

Using Intelligence Models to Estimate Evapotranspiration

Seyed Javad Sadatinejad,; Somayeh Angabini,; Mohammad Reza Mozdian fard

Volume 8, Issue 2 , January 2011

  Exact estimation of evapotranspiration is an important parameter in water cycle, study, design and management of irrigation systems. In this study, the efficiency of intelligent models such as fuzzy rule base, fuzzy regression and Artificial Neural Networks for estimating daily evapotranspiration has ...  Read More