中国农业气象 ›› 2023, Vol. 44 ›› Issue (09): 820-833.doi: 10.3969/j.issn.1000-6362.2023.09.006

• 农业气象灾害 栏目 • 上一篇    下一篇

江苏省不同风险区域春茶霜冻害特征分析

任义方,王培娟,钱半吨,马云波,孙庆飞   

  1. 1.江苏省气候中心,南京 210041;2.中国气象科学研究院,北京 100081;3.溧阳市气象局,溧阳 213300;4.丹阳市气象局,丹阳 212300;5.仪征市气象局,仪征 211400
  • 收稿日期:2022-10-06 出版日期:2023-09-20 发布日期:2023-09-12
  • 通讯作者: 王培娟,博士,研究员,研究方向为农业气象灾害。 E-mail:wangpj@cma.gov.cn
  • 作者简介:任义方,E-mail:renyifang2006@126.com
  • 基金资助:
    国家重点研发计划(2019YFD1002203)

Analysis on Characteristics of Spring Tea Frost Damage in Different Risk Areas in Jiangsu Province

REN Yi-fang, WANG Pei-juan, QIAN Ban-dun, MA Yun-bo, SUN Qin-fei   

  1. 1.Jiangsu Climate Center, Nanjing 210041, China; 2.Chinese Academy of Meteorological Science, Beijing 100081; 3.Liyang Meteorological Bureau, Liyang 213300; 4.Danyang Meteorological Bureau, Danyang 212300; 5. Yizheng Meteorological Bureau, Yizheng 211400
  • Received:2022-10-06 Online:2023-09-20 Published:2023-09-12

摘要: 利用1981−2020年全球大气再分析资料ERA5,基于表征茶树霜冻害程度的气象指标,构建春茶霜冻监测期风险指数(RI),选择k均值聚类算法确定江苏省春茶霜冻风险区划,采用Mann-Kendall方法判识各霜冻风险区域气候突变点,从逐日和逐小时尺度,评估气候变化对区域内春茶霜冻发生特征的影响。结果表明,江苏春茶霜冻风险呈现西南低东北高的特征,低风险区和高风险区分别以轻度−中度和特重霜冻发生为主,平均发生频率分别为11.91%和15.4%,平均终霜期分别呈现2.7d10a−1和1.5d10a−1的提前趋势,RI分别呈现每10a降低0.024和0.015的趋势。受气候变化影响,逐日尺度上,低、高风险区域中,各等级春茶霜冻发生频率和波动性明显降低,且以特重霜冻降幅最为明显;发生频率分布形态由多峰型转为单峰型和递降型,高发时段集中在2月上旬-3月下旬;逐小时尺度上,各等级春茶霜冻发生频率在一天内基本呈现正弦分布,气候突变后,轻度和中度−特重霜冻高发时段分别推迟2~4h和0~1h,中度−重度和特重霜冻高发时段分别集中在5:00−7:00和6:00−8:00。随气候变化,江苏春茶霜冻发生呈现趋晚、趋弱、趋短和趋少的特征,但仍需积极应对。

关键词: 江苏, 春茶, 霜冻, 风险评估, 气候变化

Abstract: Using global atmospheric reanalysis data ERA5 from 1981 to 2020, based on the meteorological indicators representing the degree of tea frost damage, the risk index (RI) during the spring frost monitoring period in Jiangsu province was constructed. The k-means clustering algorithm was selected to realize the spring tea frost risk zoning. Based on that, the Mann-Kendall method was applied to identify the climatic abrupt change points in each frost risk region, the impacts of climate change on the occurrence characteristics of spring tea frost in different risk areas were assessed by the daily and hourly scales, separately. The result showed that the frost risk of spring tea in Jiangsu province was characterized by "low in the southwest and high in the northeast". Light to moderate frost and extremely severe frost mainly occurred in low-risk area and high-risk area, with an average frequency of 11.91% and 15.4%, respectively. In the low-risk and high-risk areas, the average appearance times of the frost ending date showed an advance trend of 2.7d10y−1 and 1.5d10y−1, while RI value showed a decreasing trend of 0.024 and 0.015 per 10 years, respectively. Influenced by climate change, in terms of daily time scale, the occurrence frequency and volatility of spring tea frost at all levels during the monitoring period in low-risk and high-risk areas were significantly reduced, especially in the case of severe frost. The distribution patterns of occurrence frequency of spring tea frost at all levels changed from the type of multi peak to the type of single peak with descending trend, while still having different peak times, but mainly concentrated in the first ten days of February to the last ten days of March. From the hourly time scale, the occurrence frequency of spring tea frost at all levels basically presented a "sinusoidal" distribution pattern. After climate change, the high incidence period of mild frost was delayed for two to four hours, and that of moderate to severe frost was basically unchanged or delayed for one hour, and the high incidence period of moderate to severe frost and extra severe frost were concentrated at 5:00−7:00 and 6:00−8:00 respectively in the morning for each risk region. With the climate change, the spring tea frost in Jiangsu was characterized by "later, weaker, shorter and fewer", which still needed to be actively addressed.

Key words: Jiangsu, Spring tea, Frost, Risk assessment, Climate change