Development of Drought Risk Analysis Model in Agricultural Water Supply Systems of Northern Roodasht Irrigation Network Using Bayesian Network

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BOZORGI A.; ROOZBAHANI A.; HASHEMY SHAHEDANY S.M.

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Journal: Journal of Water Research in Agriculture Year:2020 | Volume:34 | Issue:2 Page(s): 187-202

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Information Journal Paper

Title

Development of Drought Risk Analysis Model in Agricultural Water Supply Systems of Northern Roodasht Irrigation Network Using Bayesian Network

Author(s)

BOZORGI A. | ROOZBAHANI A. | HASHEMY SHAHEDANY S.M. | Issue Writer Certificate

Keywords

Surface and groundwater resourcesQ2

Hydrological droughtQ1

Water allocationQ1

Abstract

coefficient of determination of 0. 85 and 0. 75, and overall index of model performance of 0. 82 and 0. 74. research and proposed model helps operators and decision makers to better plan the allocation of irrigation water based on the risks predicted in Hydrological drought conditions.

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APA: Copy

BOZORGI, A., ROOZBAHANI, A., & HASHEMY SHAHEDANY, S.M.. (2020). Development of Drought Risk Analysis Model in Agricultural Water Supply Systems of Northern Roodasht Irrigation Network Using Bayesian Network. IRANIAN JOURNAL OF WATER RESEARCH IN AGRICULTURE (FORMERLY SOIL AND WATER SCIENCES), 34(2 ), 187-202. SID. https://sid.ir/paper/358185/en

Vancouver: Copy

BOZORGI A., ROOZBAHANI A., HASHEMY SHAHEDANY S.M.. Development of Drought Risk Analysis Model in Agricultural Water Supply Systems of Northern Roodasht Irrigation Network Using Bayesian Network. IRANIAN JOURNAL OF WATER RESEARCH IN AGRICULTURE (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2020;34(2 ):187-202. Available from: https://sid.ir/paper/358185/en

IEEE: Copy

A. BOZORGI, A. ROOZBAHANI, and S.M. HASHEMY SHAHEDANY, “Development of Drought Risk Analysis Model in Agricultural Water Supply Systems of Northern Roodasht Irrigation Network Using Bayesian Network,” IRANIAN JOURNAL OF WATER RESEARCH IN AGRICULTURE (FORMERLY SOIL AND WATER SCIENCES), vol. 34, no. 2 , pp. 187–202, 2020, [Online]. Available: https://sid.ir/paper/358185/en

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