Risk assessment model of drought-caused winter wheat yield loss and its applications in Henan Province

Ronghua Liu; Shuanghe Shen; Zixi Zhu; Wenying Kang; Wensong Fang; Youhe Wang

doi:10.1117/12.679271

1 September 2006 Risk assessment model of drought-caused winter wheat yield loss and its applications in Henan Province

Ronghua Liu, Shuanghe Shen, Zixi Zhu, Wenying Kang, Wensong Fang, Youhe Wang

Proceedings Volume 6301, Atmospheric and Environmental Remote Sensing Data Processing and Utilization II: Perspective on Calibration/Validation Initiatives and Strategies; 63010U (2006) https://doi.org/10.1117/12.679271
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

As a major agrometeorological disaster of winter wheat in Henan, drought is a big contributing factor to the steady rise of the yield. To make risk assessment of the drought-caused yield decline is of much significance to rational choice of culvars and putting forth measures against drought loss. Based on interannual meteorological and yield records, analysis is undertaken of yearly drought probability, percentage yield decline and yield coefficient of variation, whereupon is constructed a model for comprehensive risk assessment of wheat yield and regionalized is the risk happening. Evidence suggests that the indices of the risk assessment range over 1.23 ~ 4.88, with the high-value zones making up 12.5%, distributed mainly in eastern, and northeastern Henan, the middle-value zones accounting for 36.5% in southwest, southeast, eastern, northeast and northwest Henan and the low-value zones (51.0%) in the extensive region, with Lushi - Xiangcheng (Beijing to Guangzhou railway in Henan) as the axis line in the east - west (south - north) Henan province.

Citation Download Citation

Ronghua Liu, Shuanghe Shen, Zixi Zhu, Wenying Kang, Wensong Fang, and Youhe Wang "Risk assessment model of drought-caused winter wheat yield loss and its applications in Henan Province", Proc. SPIE 6301, Atmospheric and Environmental Remote Sensing Data Processing and Utilization II: Perspective on Calibration/Validation Initiatives and Strategies, 63010U (1 September 2006); https://doi.org/10.1117/12.679271

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