中国农业气象 ›› 2024, Vol. 45 ›› Issue (10): 1193-1203.doi: 10.3969/j.issn.1000-6362.2024.10.009

• 农业气象灾害 栏目 • 上一篇    下一篇

变暖环境下华北农业气象灾害风险评估Ⅱ:基于综合指标体系法的河北梨树花期冻害风险评估及验证

王金晨,朱军,王立荣,张琪   

  1. 1.南京信息工程大学生态与应用气象学院,南京 210044;2.河北省气象服务中心,石家庄 050021;3.石家庄市气象局,石家庄 050081;4.江苏省农业气象重点实验室,南京 210044
  • 收稿日期:2023-11-09 出版日期:2024-10-20 发布日期:2024-10-17
  • 作者简介:王金晨,E-mail:1353625545@qq.com
  • 基金资助:
    国家重点研发计划项目(2019YFD1002202)

Risk Assessment of Agricultural Meteorological Disasters in North China under Warming Environment II:Risk Assessment and Validation of Frozen Damage during Pear Flowering Period in Hebei Province

WANG Jin-chen, ZHU Jun, WANG Li-rong, ZHANG Qi   

  1. 1. College of Ecology & Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2. Hebei Meteorological Service Centre, Shijiazhuang 050021; 3.Shijiazhuang Meteorological Bureau, Shijiazhuang 050081; 4. Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing 210044
  • Received:2023-11-09 Online:2024-10-20 Published:2024-10-17

摘要:

从致灾因子危险性、孕灾环境脆弱性、承体暴露性和防灾减灾能力4个方面选取16指标构建河北省梨树花期冻害风险评估模型,并检验模型稳健性;采用1997-2017年河北省11个地市梨树平均单产验证风险评估结果的合理性。结果表明:1)河北北部梨树花期冻害风险较高,与该地区较高的危险性和脆弱性有关,中南部花期冻害风险较低,主要得益于较低的危险性、脆弱性和较高的防灾减灾能力。2优化风险评估模型指标、方法后,各站梨树花期冻害风险排名变幅较小,平均排名变化6.2位,体现了模型较好的稳健性。(3)利用梨树多年平均单产验证了冻害风险评估结果的合理性,11个地市的风险与单产排序差异平均为2.0位,验证了基于本文提出的聚合方法得到的风险评估结果是合理的。根据以站点为单元的河北梨树花期冻害风险评估模型,可了解当地冻害风险,因地制宜制定冻害应对策略,为研究区梨树稳产丰产提供理论支持和政策建议。

关键词: 梨树, 花期冻害, 风险评估, 稳健性检验, 产量验证

Abstract:

Frozen damage during flowering is one of the main meteorological disasters that affect the yield of pear trees in Hebei province. This study analyzed the spatial distribution characteristics of frost damage risk during flowering of pear trees in Hebei province, in order to provide support for the rational layout of local pear trees and the prevention and control of frozen damage risks. This paper selected four indicators from the risk of disaster causing factors, the vulnerability of disaster pregnant environment, the exposure of bearing bodies, and the ability to prevent and reduced disasters to build a risk assessment model of pear tree frozen damage in flowering period in Hebei province. The robustness of the model was tested, and the rationality of the risk assessment results was confirmed by the average yield per unit area of pear trees in 11 cities in Hebei province from 1997 to 2017. As a result, there were three conclusions as follows, (1)the risk of pear trees frozen damage during flowering in the northern part of Hebei province was high, which was related to the high risk and vulnerability of the region, the risk of frozen damage during flowering in the central and southern parts was low, mainly due to the lower risk, vulnerability, and high disaster prevention and mitigation capabilities. (2)When adjusting the indicators and methods of the risk assessment model, the change in the risk ranking of pear trees frozen damage during flowering period at each station was relatively small, with an average ranking change of 6.2, reflecting the good robustness of the model. (3)The rationality of the frost damage risk assessment results was verified using the average annual yield of pear trees. The average difference in risk and yield ranking among 11 cities was 2.0, which verified the rationality of the risk assessment results obtained based on the aggregation method proposed in this study. Establishing a risk assessment model for pear trees frozen damage during flowering period in Hebei province, with stations as the unit, can grasp the strength of frozen damage risk in each station in the study area, formulate frozen damage response strategies according to local conditions, and provide theoretical support and policy recommendations for stable and high yield pear trees in the study area.

Key words: Pear, Frozen damage, Risk assessment, Robustness test, Production confirmation