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山东省设施农业风灾风险评估研究

谭方颖 王建林 张蕾 李峰 张继波 赵晓凤

谭方颖, 王建林, 张蕾, 李峰, 张继波, 赵晓凤. 山东省设施农业风灾风险评估研究[J]. 中国生态农业学报 (中英文), 2023, 31(0): 1−9 doi: 10.12357/cjea.20230258
引用本文: 谭方颖, 王建林, 张蕾, 李峰, 张继波, 赵晓凤. 山东省设施农业风灾风险评估研究[J]. 中国生态农业学报 (中英文), 2023, 31(0): 1−9 doi: 10.12357/cjea.20230258
TAN F Y, WANG J L, ZHANG L, LI F, ZHANG J B, ZHAO X F. Research on wind disaster risk assessment for facility agriculture in Shandong Province[J]. Chinese Journal of Eco-Agriculture, 2023, 31(0): 1−9 doi: 10.12357/cjea.20230258
Citation: TAN F Y, WANG J L, ZHANG L, LI F, ZHANG J B, ZHAO X F. Research on wind disaster risk assessment for facility agriculture in Shandong Province[J]. Chinese Journal of Eco-Agriculture, 2023, 31(0): 1−9 doi: 10.12357/cjea.20230258

山东省设施农业风灾风险评估研究

doi: 10.12357/cjea.20230258
基金项目: 国家重点研发计划专项(2022YFD2300200、2018YFC1507802)、国家气象中心和中国气象局青年创新团队项目资助
详细信息
    作者简介:

    谭方颖, 主要从事农业气象灾害预报及影响评估研究。Email: tanfangying0803@163.com

    通讯作者:

    王建林, 主要从事农业气象评价预报与灾害影响评估研究。Email: wangjl@cma.gov.cn

  • 中图分类号: P49; S424

Research on wind disaster risk assessment for facility agriculture in Shandong Province

Funds: This work was supported by the National Key R&D Projects of China (2022YFD2300200 and 2018YFC1507802), the National Meteorological Center and China Meteorological Administration Youth Innovation Team Project.
More Information
  • 摘要: 本研究利用气象观测、高分卫星遥感、灾情直报等数据, 基于自然灾害风险评估理论, 探索了设施农业风灾风险评估方法; 以山东省为例, 从设施农业风灾危险性、暴露度和脆弱性以及防灾减灾能力4个方面, 选择因子构建设施农业风灾风险评估指数, 并对设施农业风灾风险进行了分析和验证。结果显示, 风灾危险性受地形影响, 高值区主要分布在鲁中山区和山东半岛; 暴露度与设施种植建设规范基本一致, 高值区主要分布在鲁中的东部、鲁西北和鲁西南; 脆弱性与基本风压分布较为吻合, 中高值区主要分布在鲁南和鲁中的东部地区; 防灾减灾能力较弱地区主要分布在气象灾害预警能力相对较弱、经济欠发达的鲁西北、鲁西南和鲁中的西部; 设施农业风灾风险高低由危险性、暴露度、脆弱性和防灾减灾能力共同决定, 高风险区主要分布在鲁西北、鲁西南以及鲁中。经检验, 设施农业风灾风险分布与风灾灾情发生情况空间上具有显著一致性, 基于自然灾害风险理论构建的设施农业风灾害风险评估指数合理、方法可行, 结果可为设施农业风灾风险管理以及防灾减损提供参考。
  • 图  1  山东省气象站分布

    Figure  1.  Distribution of meteorological observation sites in Shandong Province

    图  2  GF-1号2 m卫星影像图(左)和设施农业遥感提取结果影像图(右)

    绿色框线内是验证区域, 红色区域为提取结果。The area inside the green line is the validation area, and the red area is the extraction result.

    Figure  2.  GF-1 2 m satellite image map (left) and image map of remote sensing extraction result of facility agriculture (right)

    图  3  山东省设施农业风灾危险性指数空间分布

    Figure  3.  Spatial distribution of hazard index of wind disaster for facility agriculture in Shandong Province

    图  4  山东省设施农业风灾暴露度指数空间分布

    Figure  4.  Spatial distribution of exposure index of wind disaster for facility agriculture in Shandong Province

    图  5  山东省设施农业风灾脆弱性指数空间分布

    Figure  5.  Spatial distribution of vulnerability index of wind disaster for facility agriculture in Shandong Province

    图  6  山东省设施农业成灾指数空间分布

    Figure  6.  Spatial distribution of disaster index of wind disaster for facility agriculture in Shandong Province

    图  7  山东省设施农业风灾风险空间分布

    Figure  7.  Spatial distribution of wind disaster risk of wind disaster for facility agriculture in Shandong Province

    表  1  山东省设施农业风灾气象等级

    Table  1.   Meteorological rating of wind damage in facility agriculture in Shandong Province

    等级
    Grade
    极大风速
    Extremely high wind speed (m∙s−1)
    影响程度
    Degree of impact
    1[12, 16)轻度 Mild
    2[16, 20)中度 Moderate
    3≥20重度 Severe
    下载: 导出CSV

    表  2  设施农业面积提取样本信息及准确率

    Table  2.   Information and accuracy of extracted samples of facility agricultural area

    区域类型
    Area type
    样本序号
    Sample
    number
    调查面积
    Survey area
    (hm2)
    提取面积
    Extracted area
    (hm2)
    准确率
    Accuracy
    (%)
    主要种植区域
    Main planting areas
    137.84094.2
    226.226.997.2
    3222586.0
    混合种植区域
    Mixed planting area
    15.85.188.8
    27.67.396.3
    37.67.294.6
    下载: 导出CSV
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  • 收稿日期:  2023-05-12
  • 录用日期:  2023-10-12
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  • 网络出版日期:  2023-10-21

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