| 川南地区1989—2019年农业干旱危险性特征分析 |
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| 引用本文： | 支询,林中冠,沙莉,李施,苏航.川南地区1989—2019年农业干旱危险性特征分析[J].农学学报,2020,10(8):78-82. |
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| 作者姓名： | 支询 林中冠 沙莉 李施 苏航 |
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| 作者单位： | 1.辽宁省气象装备保障中心,沈阳 110166;2.辽宁省气象服务中心,沈阳 110166;3.辽宁省气象台,沈阳 110166 |
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| 基金项目： | 辽宁省气象局青年英才项目(Y201601) |
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| 摘 要： | 旨在研究川南地区近30年农业干旱危险性特征。基于川南地区（内江市、自贡市、宜宾市、泸州市）1989—2019年夏季（6—8月）降水数据,组成了降水距平百分率和农业干旱危险性等级之间的模糊隶属函数,通过引入区间平均隶属度,将信息扩散理论与之结合,研究了川南经济区的农业干旱危险性特征。结果显示：轻、中度农业干旱危险性水平最大的都是泸州市,危险性水平分别达21.47%、15.32%;重度农业干旱危险性水平最大的是自贡市,其危险性水平达7.58%;严重农业干旱危险性水平最大的是宜宾市,其危险性水平达7.47%。
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| 关 键 词： | 农业干旱危险性 川南地区 降水距平 信息扩散 模糊数学 危险性水平 |
| 收稿时间： | 2019-09-02 |
Agricultural Drought Hazard Characteristics in Southern Sichuan During 1989-2019 |
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| Zhi Xun,Lin Zhongguan,Sha Li,Li Shi,Su Hang.Agricultural Drought Hazard Characteristics in Southern Sichuan During 1989-2019[J].Journal of Agriculture,2020,10(8):78-82. |
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| Authors: | Zhi Xun Lin Zhongguan Sha Li Li Shi Su Hang |
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| Institution: | 1.Meteorological Equipment Support Center of Liaoning, Shenyang 110166, Liaoning, China;2.Liaoning Meteorological Service Center, Shenyang 110166, Liaoning, China;3.Liaoning Meteorological Observatory, Shenyang 110166, Liaoning, China |
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| Abstract: | To study the risk characteristics of agricultural drought in southern Sichuan in nearly 30 years, based on the precipitation data of summer (June-August) in southern Sichuan (Neijiang, Zigong, Yibin, and Luzhou) from 1989 to 2019, the fuzzy membership function between the precipitation anomaly percentage and agricultural drought hazard levels was formed. By introducing interval average membership degree and combining information diffusion theory, we studied the risk characteristics of agricultural drought in southern Sichuan economic zone. The results showed that: the highest risk of light and moderate agricultural drought was in Luzhou, and the risk level was 21.47% and 15.32%, respectively; the highest level of severe agricultural drought risk was in Zigong with the risk level of 7.58%; the highest level of serious agricultural drought risk was in Yibin with a risk level of 7.47%. |
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| Keywords: | Agricultural Drought Hazard Southern Sichuan Precipitation Anomaly Information Diffusion Fuzzy Mathematics Hazard Level |
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