A Copula Function–Monte Carlo Method-Based Assessment of the Risk of Agricultural Water Demand in Xinjiang, China

A Copula Function–Monte Carlo Method-Based Assessment of the Risk of Agricultural Water Demand in Xinjiang, China

Agricultural water resources in Xinjiang, China, face significant supply and demand contradictions. Agricultural water demand risk is a key factor impacting water resource management. This study employs the copula function (CF) and Monte Carlo (MC) methods to evaluate agricultural water demand risk...

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Bibliographic Details
Main Authors: Xianli Wang, Zhigang Zhao, Feilong Jie, Jingjing Xu, Sheng Li, Kun Hao, Youliang Peng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agriculture
Subjects:
copula function
Monte Carlo
risk assessment
agricultural water demand
Xinjiang
Online Access:https://www.mdpi.com/2077-0472/14/11/2000
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