中国农业气象 ›› 2026, Vol. 47 ›› Issue (9): 1359-1372.doi: 10.3969/j.issn.1000-6362.2026.09.001

• 农业气象概念方法栏目 •    下一篇

农业气象灾害风险预警理论与技术实践

郭安红,何亮,张蕾,侯英雨   

  1. 国家气象中心,北京 100081
  • 收稿日期:2025-06-16 出版日期:2026-09-20 发布日期:2026-09-17
  • 作者简介:郭安红,研究员,主要从事农业气象灾害监测与风险预警技术研发,E-mail:guoah@cma.gov.cn
  • 基金资助:
    国家自然科学基金项目(42375195);中国气象局创新发展专项项目(CXFZ2024J051)

Theory and Technical Practice of Agrometeorological Disaster Risk Early Warning

GUO An-hong, HE Liang, ZHANG Lei, HOU Ying-yu   

  1. National Meteorological Center, Beijing 100081, China
  • Received:2025-06-16 Online:2026-09-20 Published:2026-09-17

摘要:

农业气象灾害风险预警是基于农业影响属性,将灾害性天气预报与农业承灾体的暴露度、脆弱性动态监测评估相结合,预估灾害对农业影响并开展风险预警服务工作。本研究概述农业气象灾害风险预警相关概念和术语,基于灾害危险性、暴露度和脆弱性三要素的定量化评判,梳理面向预警服务的农业气象灾害风险判识技术,并构建农业气象灾害风险预警业务技术流程。以2025年5月12−18日冬小麦干热风灾害风险预警为例,演示基于未来10d气象预报,开展干热风灾害风险指数计算、风险等级判识以及预警发布的全过程。结果表明:与既往农业气象灾害风险评估技术方法不同,农业气象灾害风险预警不是对历史灾害发生的概率和影响进行的评估,而是对未来灾害发生的可能性以及对农作物的不利影响进行预判并发布警示信息,其对灾害危险性、暴露度的判识是基于实时的气象预报和农情监测动态分析识别,具有实时性、动态性的特点。建立的农业气象灾害风险预警业务技术流程包括灾害风险指数计算、风险等级划分和预警发布指标确立等环节。当预报未来可能出现农业气象灾害时即启动风险指数计算工作,判断计算风险组成各要素并计算灾害风险指数;通过风险等级分级判定得到风险预估结果,当风险较高以上等级所占面积比例达到预警发布指标的面积比例时即向社会公众发布风险预警。针对不同农业气象灾害具体的风险指数计算方法、预警发布指标不尽相同。在目前的冬小麦干热风灾害风险预警中,暴露度的判识是进入开花灌浆阶段冬小麦的动态识别,危险性的判识是采用未来10d干热风天数和等级组合,脆弱性的判识是采用气象行业标准《小麦干热风灾害等级》干热风危害参考值,预警发布指标为干热风灾害风险较高以上等级面积占北方冬麦区小麦播种面积比例≥15%。

关键词: 农业气象灾害, 风险预警, 技术流程, 风险指数, 风险等级, 预警发布指标

Abstract:

Based on its attribute of agricultural impact properties, agrometeorological disaster risk early warning integrates forecasting of catastrophic weather with dynamic monitoring and assessment of exposure and vulnerability of agricultural hazard−bearing bodies. It estimates the impact of disasters on agriculture and provides early warning services. This study provided an overview of relevant concepts and terminology for early warning of agrometeorological disaster risk. The three core elements, hazard, exposure and vulnerability, were then quantitatively evaluated to systematically organize agrometeorological disaster risk identification techniques for early warning services and develop operational technical processes for agrometeorological disaster risk early warning. Taking the risk early warning of dry−hot wind disaster for winter wheat (12–18 May 2025) as a case study, this study demonstrated the full process of dry−hot wind disaster risk assessment, risk grade identification and early warning issuance, which was based on 10d forward meteorological element forecasts. The results showed that, unlike conventional technical methods for agrometeorological disaster risk assessment (which focused on evaluating the probability and impacts of historical disasters), agrometeorological disaster risk early warning predicted the likelihood of future disasters and their adverse effects on crops, while issuing corresponding warning information. Its assessment and judgment of disaster hazard and exposure was grounded in real−time meteorological forecasts and dynamic analysis of agricultural condition monitoring, thus exhibiting real−time and dynamic characteristics. The established operational technical processes of agrometeorological disaster risk early warning involved the following key steps: calculation and assessment of disaster risk indices, classification of risk levels and formulation of criteria for early warning issuance. When an agrometeorological disaster was projected to occur, the work of calculating a risk index was initiated: each risk component was evaluated and calculated individually to determine an agrometeorological disaster risk index and the risk assessment results were derived through risk grade judgment. Once the area proportion of risk levels at or above "relatively high risk" met the area ratio specified in early warning issuance criteria, a risk early warning was issued to the public. Notably, specific methods for risk index calculation and early warning issuance criteria varied across different agrometeorological disasters. For current risk early warning of dry−hot wind disaster for winter wheat: (1) exposure was determined via dynamic identification of winter wheat in the flowering and grain−filling stage. (2) Hazard was assessed using various combinations of dry−hot wind days and grades in the upcoming 10d. (3) Vulnerability was evaluated based on dry−hot wind damage reference values specified in the meteorological industry standard Grades of Wheat Dry−Hot Wind Disasters. (4) The early warning issuance criterion was defined as follows: the area with dry−hot wind disaster risk at or above the relatively high level accounts for no less than 15% of the total wheat sowing area in the northern winter wheat region.

Key words: Agricultural meteorological disasters, Risk warning, Technical process, Risk index, Risk classification, Warning issuance indicator