| 环渤海葡萄涝渍指标构建及风险评估 |
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| 引用本文： | 毛红丹,霍治国,张蕾,杨建莹,孔瑞,李春晖,江梦圆.环渤海葡萄涝渍指标构建及风险评估[J].应用气象学报,2022,33(1):92-103. |
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| 作者姓名： | 毛红丹 霍治国 张蕾 杨建莹 孔瑞 李春晖 江梦圆 |
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| 作者单位： | 1.中国气象科学研究院，北京 100081 |
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| 基金项目： | 国家重点研发计划(2017YFC1502801)。 |
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| 摘 要： | 以中国环渤海地区葡萄主产区为研究对象, 利用1980—2019年研究区域内303个气象站逐日气象资料、葡萄发育期资料和葡萄涝渍灾情资料, 基于相对湿润度方法构建葡萄逐日涝渍指数M5i, 以历史灾情反演和灾变过程解析为主线, 采用正态分布的Lilliefors检验和t分布区间估计等方法, 构建适用于中国环渤海地区葡萄主产区的葡萄涝渍灾害等级指标体系, 利用信息扩散理论方法, 计算区域内各站点的葡萄涝渍致灾风险指数。结果表明: 构建的葡萄涝渍等级指标能够较好地反映实际受灾情况, 指标验证结果与历史记录有较高一致性; 葡萄同一发育阶段的涝渍灾害发生范围随灾害等级的加大而缩小, 不同发育阶段重度涝渍灾害发生范围随着发育进程的推进逐渐增大; 葡萄萌芽-新梢生长期和开花坐果期发生涝渍灾害的风险相对较低, 果实膨大期和着色成熟期为葡萄涝渍灾害发生的高风险时期; 葡萄涝渍灾害高风险区域主要位于山东东南部、辽宁东南部、河北东北部。
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| 关 键 词： | 环渤海 葡萄 涝渍灾害 等级指标 风险评估 |
| 收稿时间： | 2021-05-24 |
Indicator Construction and Risk Assessment of Grape Waterlogging in the Bohai Rim |
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| Mao Hongdan,Huo Zhiguo,Zhang Lei,Yang Jianying,Kong Rui,Li Chunhui,Jiang Mengyuan.Indicator Construction and Risk Assessment of Grape Waterlogging in the Bohai Rim[J].Quarterly Journal of Applied Meteorology,2022,33(1):92-103. |
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| Authors: | Mao Hongdan Huo Zhiguo Zhang Lei Yang Jianying Kong Rui Li Chunhui Jiang Mengyuan |
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| Affiliation: | 1.Chinese Academy of Meteorological Sciences, Beijing 1000812.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 2100443.National Meteorological Center, Beijing 100081 |
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| Abstract: | The viticulture area around the Bohai Bay is the largest grape producing area in China. Waterlogging disaster is a major agricultural meteorological disaster in China, which seriously threatens grape production. Waterlogging indexes are utilized on field crops widely, but most of them can only be evaluated after the end of the growing season, which lacks the timeliness of monitoring and evaluating the process of waterlogging disasters. Taking the main grape producing areas in the Bohai Rim of China as the research object, the waterlogging grade index is constructed based on the daily meteorological data, grape growth stage data and grape waterlogging historical disaster data from 303 meteorological stations in the study area from 1980 to 2019. In the process of index construction, the influence of previous water surplus and deficit status on the current waterlogging process is fully considered, and the climate adaptability of crops in a certain place is considered. The daily waterlogging index of grapes is constructed by referring to the relative humidity index method of crops. Taking historical disaster inversion and disaster process analysis as the main line, Lilliefors test of normal distribution and t-distribution interval estimation method are used to construct the grape waterlogging disaster grade index system suitable for the main grape producing areas around the Bohai Bay, starting from the duration and intensity of waterlogging disaster. Based on the classification index of grape waterlogging disasters constructed above, the frequency of waterlogging disasters at each site in the Bohai Rim from 1980 to 2019 is counted, and the probability of disasters at each site is obtained by using information diffusion theory. Considering the probability and intensity of waterlogging disasters of each grade, the risk index of grape waterlogging in each station in the region is calculated. The results show that the occurrence range of waterlogging disaster in the same growth period of grape decreases with the increase of the disaster level, while the occurrence range of severe waterlogging disaster in different growth periods gradually increases with the advancement of development process. The risk of grape waterlogging is relatively low during the period of bud-shoot growth and flowering and fruit-setting, while the high-risk period of grape waterlogging is the period of fruit expansion and coloring and maturity. The high-risk areas of grape waterlogging disaster are mainly located in the southeast of Shandong Province, the southeast of Liaoning Province and the northeast of Hebei Province. |
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| Keywords: | the Bohai Rim grape waterlogging disaster grade index risk assessment |
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