Accuracy Assessment of Geo-Statistics and Artificial Neural Networks Methods to Estimate Threshold Wind Velocity: A Case of Jazinak Region, Sistan Plain

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Arbab Manijeh; PAHLAVANRAVI AHMAD; PIRI SAHRAGARD HOSSEIN; AMIRI MEYSAM

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Journal: Environmental Erosion Research Year:2018 | Volume:8 | Issue:3 (31) Page(s): 87-105

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Title

Accuracy Assessment of Geo-Statistics and Artificial Neural Networks Methods to Estimate Threshold Wind Velocity: A Case of Jazinak Region, Sistan Plain

Author(s)

Arbab Manijeh | PAHLAVANRAVI AHMAD | PIRI SAHRAGARD HOSSEIN | AMIRI MEYSAM | Issue Writer Certificate

Keywords

Sistan plainQ2

GeostaticQ1

Threshold wind velocityQ1

artificial neural networksQ2

Abstract

1-Introduction: Threshold wind velocity is a major influencing variable in transportation of soil particles and dust production. It is considered as an important component in many theoretical equations and numerical models due to its importance in wind erosion studies (Stout & Zobeck, 1996). The wind tunnel method (fixed and portable), empirical relationships and sediment traps are the common methods to estimate the Threshold wind velocity (Refahi, 2005). Estimation of this variable can assist researchers to recognize critical points, in addition to providing suitable activities to prevent depletion of limited resources in desert region. This study aimed at comparing the accuracy of geo-statistical techniques (Kriging and Co-kriging) and artificial neural network model, estimating the threshold of wind velocity, selecting more accurate methods to be used in wind erosion combating projects, as well as identifying more important variables in Threshold wind velocity in the Sistan region....

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APA: Copy

Arbab, Manijeh, PAHLAVANRAVI, AHMAD, PIRI SAHRAGARD, HOSSEIN, & AMIRI, MEYSAM. (2018). Accuracy Assessment of Geo-Statistics and Artificial Neural Networks Methods to Estimate Threshold Wind Velocity: A Case of Jazinak Region, Sistan Plain. ENVIRONMENTAL EROSION RESEARCHES, 8(3 (31) ), 87-105. SID. https://sid.ir/paper/382341/en

Vancouver: Copy

Arbab Manijeh, PAHLAVANRAVI AHMAD, PIRI SAHRAGARD HOSSEIN, AMIRI MEYSAM. Accuracy Assessment of Geo-Statistics and Artificial Neural Networks Methods to Estimate Threshold Wind Velocity: A Case of Jazinak Region, Sistan Plain. ENVIRONMENTAL EROSION RESEARCHES[Internet]. 2018;8(3 (31) ):87-105. Available from: https://sid.ir/paper/382341/en

IEEE: Copy

Manijeh Arbab, AHMAD PAHLAVANRAVI, HOSSEIN PIRI SAHRAGARD, and MEYSAM AMIRI, “Accuracy Assessment of Geo-Statistics and Artificial Neural Networks Methods to Estimate Threshold Wind Velocity: A Case of Jazinak Region, Sistan Plain,” ENVIRONMENTAL EROSION RESEARCHES, vol. 8, no. 3 (31) , pp. 87–105, 2018, [Online]. Available: https://sid.ir/paper/382341/en

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