New Risk Management Findings from Guangdong University of Technology Described (A Risk-based Stochastic Model for Supporting Resources Allocation of Agricultural Water-energy-food System Under Uncertainty): Risk Management - Insurance News | InsuranceNewsNet

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August 16, 2022 Newswires
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New Risk Management Findings from Guangdong University of Technology Described (A Risk-based Stochastic Model for Supporting Resources Allocation of Agricultural Water-energy-food System Under Uncertainty): Risk Management

Insurance Daily News

2022 AUG 16 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on Risk Management. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The interactive water-energy relationship is a major restriction on food production in agricultural irrigation systems. Applying water-saving irrigation systems can further intensify the interrelationship between water and electricity and trigger a water-energy joint risk.”

Funders for this research include National Natural Science Foundation of China (NSFC), Program for Guangdong Introducing Innovative and Entrepreneurial Teams, Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou).

The news reporters obtained a quote from the research from the Guangdong University of Technology, “Currently, there are no approaches capable of effectively assessing the various uncertainties and water-energy joint risks in irrigation districts. In this study, a novel mathematical programming method termed copula-based interval two-stage stochastic mixed-integer programming (CITSMIP) is proposed. CITSMIP quantifies water-energy joint risks in food production and provides an optimal resource allocation plan and water-saving irrigation application schemes under different joint risk levels. CITSMIP was applied to solve an irrigation resource management problem in northwest China. The results show that under a certain water-energy joint risk, planting sunflowers would be the first choice for water-saving irrigation applications. As water-saving applications have become increasingly common over time, the watersaving volume is expected to increase to [74.65, 84.46] x 107 m3 by 2035. Moreover, under a certain joint risk, compared with the water risk, fluctuations in energy risk would have a greater impact on the total benefit of the system and the total consumption of resources. Compared with single water risk or energy risk management, the joint risk management results would have a lower degree of uncertainty and higher lower-bound benefits.”

According to the news reporters, the research concluded: “Establishing CITSMIP can provide valuable insights into informing stakeholders to allocate resources and maximize benefits under water-energy joint risk.”

This research has been peer-reviewed.

For more information on this research see: A Risk-based Stochastic Model for Supporting Resources Allocation of Agricultural Water-energy-food System Under Uncertainty. Journal of Hydrology, 2022;610. Journal of Hydrology can be contacted at: Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Journal of Hydrology - http://www.journals.elsevier.com/journal-of-hydrology/)

Our news correspondents report that additional information may be obtained by contacting Qian Tan, Guangdong University of Technology, Sch Ecol Environm & Resources, Key Lab City Cluster Environm Safety & Green Dev, Ministry of Education, Guangzhou 510006, People’s Republic of China. Additional authors for this research include Jie Huang, Weijia Zhang and Tianyuan Zhang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.jhydrol.2022.127864. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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