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Risk Assessment of World Corn Salinization Hazard Factors Based on EPIC Model and Information Diffusion

Degen Lin (), Chuanqi Hu, Fang Lian, Jing’ai Wang (), Xingli Gu and Yingxian Yu
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Degen Lin: School of Business, Wenzhou University, Wenzhou 325000, China
Chuanqi Hu: Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi’an 710119, China
Fang Lian: Integrated Research on Disaster Risk (IRDR) International Programme Office, Beijing 100094, China
Jing’ai Wang: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Xingli Gu: College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
Yingxian Yu: School of Business, Wenzhou University, Wenzhou 325000, China

Land, 2023, vol. 12, issue 11, 1-19

Abstract: Salinization is a serious land degradation phenomenon. This study identified the salinity stress threshold as a causal factor for salinization, focusing on global maize fields as the study area. By excluding environmental stressors and setting salinization scenarios, the EPIC model was used to simulate the daily salinity stress threshold during the corn growth process. The global intensity and risk of salinization-induced disaster for maize were evaluated. Based on the principle of information diffusion, the intensity of salinization-induced disaster was calculated for different return periods. The main conclusions were as follows: (1) By excluding environmental stress factors and setting salinization scenarios, algorithms for the salinization index during the growing season and the intensity of salinization-induced disaster were proposed. (2) The salinity hazard factor is highly risky and concentrated in arid and semi-arid regions, while it is relatively low in humid regions. (3) As the recurrence period increases, the risk of salinization-induced hazard becomes higher, the affected area expands, and the risk level increases. (4) The salinization intensity results of this study are consistent with the research results of HWSD (R 2 = 0.9546) and GLASOD (R 2 = 0.9162).

Keywords: information diffusion; risk of hazard factor; salt stress; EPIC model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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