Volume 38 (2024)
Volume 37 (2023)
Volume 36 (2022)
Volume 35 (2021)
Volume 34 (2020)
Volume 33 (2019)
Volume 32 (2018)
Volume 31 (2017)
Volume 30 (2016)
Volume 29 (2015)
Volume 28 (2014)
Volume 27 (2013)
Volume 26 (2012)
Volume 25 (2011)
Volume 24 (2010)
Volume 23 (2009)
Volume 22 (2008)
The Role of Vermicompost on the Change of Physical, Chemical, Hydraulic and Leaching Components of a Sandy Loam Soil

H. Bagheri; H. Zare Abyaneh; azizallah izady

Volume 34, Issue 3 , July and August 2020, , Pages 609-622

https://doi.org/10.22067/jsw.v34i3.80755

Abstract
    Introduction: Vermicompost is a type of biological organic fertilizer obtained from earthworm activity. Vermicompost is used in sustainable agriculture due to its beneficial effects on diversity of plant nutrients and physical-hydraulic modification of soil. However, high presence of solutes ...  Read More

Effect of Superabsorbent, Nitrogen Fertilizer and Drought Stress on Yield and Water Productivity of Bell Pepper

Hamid Zare Abyaneh; Farzaneh Heidari; Gholamreza Heidari; mehdi jovzi

Volume 33, Issue 3 , July and August 2019, , Pages 463-476

https://doi.org/10.22067/jsw.v0i0.76431

Abstract
  In this pot experiment, the effects of three levels of zero (A0), three (A1) and five gram (A2) aquasorb superabsorbent per kg of soil, three levels of 70 (W1), 85 (W2) and 100 (W3) percent of irrigation requirements and two levels of 75 (F1) and 100 (F2) percent of nitrogen fertilizer requirements were ...  Read More

Assessment of Humidity Conditions and Trends Based on Standardized Precipitation Evapotranspiration Index (SEPI) Over Different Climatic Regions of Iran

Mohammad Ghabaei S; Hamid Zare Abyaneh; Abolfazl Mosaedi; S. Zahra Samadi

Volume 30, Issue 5 , November and December 2016, , Pages 1700-1717

https://doi.org/10.22067/jsw.v0i0.47565

Abstract
  Introduction: Drought is a recurrent feature of climate that caused by deficiency of precipitation over time. Due to the rise in water demand and alarming climate change, recent year’s observer much focus on drought and drought conditions. A multiple types of deficits and relevant temporal scales can ...  Read More

Forecasting the Reference Evapotranspiration Using Time Series Model

H. Zare Abyaneh; A. Afruzi; M. Mirzaei; H. Bagheri

Volume 30, Issue 1 , March and April 2016, , Pages 99-111

https://doi.org/10.22067/jsw.v30i1.38212

Abstract
  Introduction: Reference evapotranspiration is one of the most important factors in irrigation timing and field management. Moreover, reference evapotranspiration forecasting can play a vital role in future developments. Therefore in this study, the seasonal autoregressive integrated moving average ...  Read More

Drought Monitoring Based on Standardized Precipitation Evaoptranspiration Index (SPEI) Under the Effect of Climate Change

H. Zareabyaneh; M. GHobaeisoogh; Abolfazl Mosaedi

Volume 29, Issue 2 , May and June 2015, , Pages 374-392

https://doi.org/10.22067/jsw.v0i0.36472

Abstract
  Introduction: Drought is a natural and recurrent feature of climate. The characterizations of it may change under the effect of climate change in future periods. During the last few decades a number of different indices have been developed to quantify drought probabilities. Droughts are caused by disruptions ...  Read More

Estimation of Evapotranspiration by Remote Sensing Technique under Different Climate Condition

M. Akbari; Z. Seif; H. Zare Abyane

Volume 25, Issue 4 , September and October 2011

https://doi.org/10.22067/jsw.v0i0.10243

Abstract
  Abstract Evapotranspiration (ET) is one of the most important components of the water balance, it is also one of the most difficult to measure. Despite the importance of ET, methods to obtain values of ET are still limited. Conventional methods are very local, ranging from point to field scale. Estimates ...  Read More

Evaluation of Artificial Intelligent and Empirical Models in Estimation of Annual Runoff

H. Zare Abyaneh; M. Bayat Varkeshi

Volume 25, Issue 2 , May and June 2011

https://doi.org/10.22067/jsw.v0i0.9483

Abstract
  Abstract From Longley, the various equations for determining the runoff to water management are presented by the researchers that are widely used in hydrologic sciences. In this study by using observational data, was evaluated empirical, artificial neural network (ANN) and ca-active neuro-fuzzy inference ...  Read More

A model Comparison Between Predicted Soil Temperatures Using ANFIS Model and Regression Methods in Three Different Climates

A.A. Sabziparvar; H. Zreabyaneh; M. Bayat

Volume 24, Issue 2 , May and June 2010

https://doi.org/10.22067/jsw.v0i0.3244

Abstract
  Abstract Soil temperature is one of the key parameters affecting most hydrologic and agricultural processes. Therefore, its measurement and prediction is very crucial. So far, the statistical regression methods have been used for estimation of soil temperature for specific location encountering with ...  Read More

Evaluation of Artificial Neural Network and Adaptive Neuro Fuzzy Inference System in Decreasing of Reference Evapotranspiration Parameters

H. Zreabyaneh; M. Bayat; S. Marofi; R. Amiri Chayjan

Volume 24, Issue 2 , May and June 2010

https://doi.org/10.22067/jsw.v0i0.3246

Abstract
  Abstract The present study is attempted to present the minimum required meteorological parameters for reference evapotranspiration estimation at Hamedan region of Iran from 1997 to 1998. Employing Pierson test, six meteorological parameters which are used by Penman-Montieth FAO-56 method including maximum ...  Read More

Evaluation of the SWAP Model to Estimate the Distribution Pattern of Soil Moisture Under Drip Irrigation Management

H. Zareabyaneh; E. Farokhi; M. Vazifeh Doost; Kh. Azhdari

Volume 24, Issue 6 , January and February 2010

https://doi.org/10.22067/jsw.v0i0.7503

Abstract
  Abstract Assessing moisture in the soil under cultivation of crops to achieve high performance and reduced water are necessary. Knowledge of the moisture distribution in the root zone, time consuming and costly field tests that simulation models, a suitable alternative in answer to issues of movement ...  Read More

Assessment of Artificial Neural Network (ANN) in prediction of garlic evapotranspiration (ETC) with lysimeter in Hamedan

H. Zreabyaneh; A. Ghasemi; M. Bayat; S. Marofi

Volume 23, Issue 3 , July and August 2009

https://doi.org/10.22067/jsw.v0i0.2327

Abstract
  Abstract Evapotranspiration as one of the important elements in agriculture has a considerable role in water resource management. Therefore, using a more exact estimation method is an essential step of agricultural development, especially in arid semi-arid area. In this research, in order to exact estimate ...  Read More

Comparison of some crop reference evapotranspiration models in a cold semi-arid climate to optimize the use of radiation models

A.A. Sabziparvar; F. Tafazoli; H. Aareabyaneh; M. Mousavi baygi; M. Ghafoori; S.A. Mohseni Movahed; Z. Merianji

Volume 22, Issue 2 , May and June 2008

https://doi.org/10.22067/jsw.v0i22.1033

Abstract
  Abstract The estimation of reference evapotranspiration (ETo) is of great importance due to its applications in water resource management as well as irrigation scheduling. Difficulties associated with using lysimeters have encouraged researchers to use various ETo models, while the shortage of actual ...  Read More