文章基本信息

标题：Optimizing dynamics of integrated food–energy–water systems under the risk of climate change
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作者：Milad Memarzadeh ; Scott Moura ; Arpad Horvath 等
期刊名称：Environmental Research Letters
印刷版ISSN：1748-9326
电子版ISSN：1748-9326
出版年度：2019
卷号：14
期号：7
页码：1-13
DOI：10.1088/1748-9326/ab2104
出版社：IOP Publishing Ltd
摘要：Integrated management of food–energy–water systems (FEWS) requires a unified, flexible and reproducible approach to incorporate the interdependence between sectors, and include the risk of non-stationary environmental variations due to climate change. Most of the recently developed methods in the literature fall short of one or more aspects in such integration. In this article, we propose a novel approach based upon fundamentals of decision theory and reinforcement learning that (1) quantifies and propagates uncertainty, (2) incorporates resource interdependence, (3) includes the impact of uncontrolled variables such as climate variations, and (4) adaptively optimizes management decisions to minimize the costs and environmental impacts of crop production. Moreover, the proposed method is robust to problem-specific complexities and is easily reproducible. We illustrate the framework on a real-world case study in Ventura County, California.
关键词：food–energy–water systems; climate change; uncertainty quantification; decision optimization