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中国农学通报 ›› 2023, Vol. 39 ›› Issue (4): 99-105.doi: 10.11924/j.issn.1000-6850.casb2022-0094

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

广东省1988—2018年气候生产潜力变化特征

张涛1(), 古明媚1, 张敏2, 招伟文3, 邹福通1, 吴永志1   

  1. 1广东省茂名市电白区气象局,广东茂名 525400
    2广东省气象探测数据中心,广州 510110
    3顺德区气象局,广东佛山 528300
  • 收稿日期:2022-02-15 修回日期:2022-05-19 出版日期:2023-02-05 发布日期:2023-01-31
  • 作者简介:

    张涛,男,1986年出生,安徽阜阳人,工程师,硕士,主要从事地面综合观测工作。通信地址:525400 广东省茂名市电白区水东镇三角圩电白区气象局,Tel:0668-5130313,E-mail:

  • 基金资助:
    广东省茂名市气象局科学技术研究项目“广东省气候生产潜力分析”(202103)

Variation Characteristics of Climate Production Potential in Guangdong Province from 1988 to 2018

ZHANG Tao1(), GU Mingmei1, ZHANG Min2, ZHAO Weiwen3, ZOU Futong1, WU Yongzhi1   

  1. 1Meteorological Bureau of Dianbai District in Maoming City, Guangdong Province, Maoming, Guangdong 525400
    2Guangdong Meteorological Observation Data Center, Guangzhou 510110
    3Meteorological Bureau of Shunde, Foshan, Guangdong 528300
  • Received:2022-02-15 Revised:2022-05-19 Online:2023-02-05 Published:2023-01-31

摘要:

基于广东省1988—2018年21个地级市的气候资料,运用Thornthwaite Memorial模型,在计算气候生产潜力的基础上,研究广东省气候生产潜力的变化机制以及时空变化特征。结果表明,1988—2018年广东省气候生产潜力呈下降的趋势变化,气候倾向率每10年为18.4 g/m2,空间变化呈阶梯状分布,从沿海到内陆递减。EOF第一特征向量分析表明,广东省的气候生产潜力变化趋势呈现出全省全年气候生产潜力同时偏多或偏少的分布特征;第二特征向量表现出纬向的偶极型空间分布。气候生产潜力与降水呈很强的正相关关系,气温的影响比较弱。暖湿型使气候生产潜力增加,冷干型、冷湿型和暖干型情景下气候生产潜力均减小。未来10年广东省气候生产潜力将呈增加趋势。

关键词: 气候生产潜力, Thornthwaite Memorial模型, 变化特征, 广东省

Abstract:

Based on the climatic data of 21 prefecture-level cities in Guangdong Province from 1988 to 2018, the authors used the Thornthwaite Memorial model to calculate the climate production potential and study the change mechanism and temporal and spatial variation characteristics of the climate production potential. The results showed that the climate production potential of Guangdong Province showed a decreasing trend from 1988 to 2018, and the climate tendency rate was 18.4 g/m2 per decade. In terms of spatial variation characteristics: the climate production potential was distributed in a step-like pattern, decreased from the coast to the inland. The first EOF vector analysis showed that the change trend of climate production potential had the distribution characteristics of more or less climate production potential in the whole province at the same time. The second eigenvector exhibited a zonal dipole spatial distribution. There was a strong positive correlation between climate production potential and precipitation, but temperature had little influence. The warm-humid type increased climate production potential, but the cold-dry, cold-wet and warm-dry types reduced it. The climate production potential of Guangdong Province will show an increasing trend in the next 10 years.

Key words: climate production potential, Thornthwaite Memorial model, variation characteristics, Guangdong Province