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| Assessing Maize Drought Hazard for Agricultural Areas Based on the Fuzzy Gamma Model |
| LIU Xing-peng, ZHANG Ji-quan, CAI Wei-ying , TONG Zhi-jun |
1.Natural Disaster Research Institute, College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024,P.R.China
2.Key Laboratory for Vegetation Ecology, Ministry of Education/Northeast Normal University, Changchun 130024, P.R.China
3.College of Tourism, Changchun University, Changchun 130607, P.R.China |
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摘要 Drought is one of the severe meteorological disasters and causes of serious losses for agricultural productions, and early assessment of drought hazard degree is critical in management of maize farming. This study proposes a novel method for assessment of maize drought hazard in different growth stages. First, the study divided the maize growth period into four critical growth stages, including seeding, elongation, tasseling, and filling. Second, maize drought causal factors were selected and the fuzzy membership function was established. Finally, the study built a fuzzy gamma model to assess maize drought hazards, and the gamma 0.93 was finally established using Monte Carlo Analysis. Performing fuzzy gamma operation with 0.93 for gamma and classifying the area yielded a map of maize drought hazards with four zones of light, moderate, severe, and extreme droughts. Using actual field collected data, seven selected samples for drought hazard degree were examined, the model output proved to be a valid tool in the assessment maize drought hazard. This model will be very useful in analyzing the spatial change of maize drought hazard and influence on yield, which is significant for drought management in major agricultural areas.
Abstract Drought is one of the severe meteorological disasters and causes of serious losses for agricultural productions, and early assessment of drought hazard degree is critical in management of maize farming. This study proposes a novel method for assessment of maize drought hazard in different growth stages. First, the study divided the maize growth period into four critical growth stages, including seeding, elongation, tasseling, and filling. Second, maize drought causal factors were selected and the fuzzy membership function was established. Finally, the study built a fuzzy gamma model to assess maize drought hazards, and the gamma 0.93 was finally established using Monte Carlo Analysis. Performing fuzzy gamma operation with 0.93 for gamma and classifying the area yielded a map of maize drought hazards with four zones of light, moderate, severe, and extreme droughts. Using actual field collected data, seven selected samples for drought hazard degree were examined, the model output proved to be a valid tool in the assessment maize drought hazard. This model will be very useful in analyzing the spatial change of maize drought hazard and influence on yield, which is significant for drought management in major agricultural areas.
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Received: 07 March 2012
Accepted:
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| Fund: This study was supported by the National High-Tech R&D Program of China (2011BAD32B00-04), the National Basic Research Program of China (2010CB951102), the National Natural Science Foundation of China (41071326), and the National Scientific Research Special Project of Public Sectors (Agriculture) of China (200903041). |
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Corresponding Authors:
Correspondence LIU Xing-peng, Tel: +86-431-85099550, E-mail: liuxp912@nenu.edu.cn
E-mail: liuxp912@nenu.edu.cn
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Cite this article:
LIU Xing-peng, ZHANG Ji-quan, CAI Wei-ying , TONG Zhi-jun.
2013.
Assessing Maize Drought Hazard for Agricultural Areas Based on the Fuzzy Gamma Model. Journal of Integrative Agriculture, 12(3): 532-540.
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