中国农业气象 ›› 2023, Vol. 44 ›› Issue (04): 274-284.doi: 10.3969/j.issn.1000-6362.2023.04.002

• 农业生态环境栏目 • 上一篇    下一篇

引入人体舒适度指数建立新疆库尔勒香梨主产区赏花气象指数预测模型

黄娟,黄健,李迎春,顾雅文   

  1. 1.新疆兴农网信息中心,乌鲁木齐 830002;2.中亚大气科学研究中心,乌鲁木齐 830002;3.中国气象局乌鲁木齐沙漠气象研究所,乌鲁木齐 830002
  • 收稿日期:2022-02-05 出版日期:2023-04-20 发布日期:2023-04-15
  • 通讯作者: 黄健,研究员,主要从事地面、农业气象资料质量控制。 E-mail:at1321265319@163.com
  • 作者简介:黄娟,E-mail:1321265319@qq.com
  • 基金资助:
    新疆维吾尔自治区科学技术厅青年基金(2021D01B91);中亚大气科学研究基金(CASS201819);中国沙漠气象科学研究基金(Sqj2019009)

Establishment of Meteorological Index Prediction Model for Ornamental Flowers of Korla Fragrant Pear in Xinjiang by Introducing Human Comfort Index

HUANG Juan, HUANG Jian, LI Ying-chun, GU Ya-wen   

  1. 1. Xinjiang Agriculture Network Information Center, Urumqi 830002, China; 2. Center of Central Asia Atmospheric Science Research, Urumqi 830002; 3. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002
  • Received:2022-02-05 Online:2023-04-20 Published:2023-04-15

摘要: 采用逐步回归方法对1990−2020年新疆阿克苏、阿拉尔、轮台和库尔勒产区的香梨始花期气象要素与香梨开花始期日序进行分析,结合人体舒适度指数,建立新疆库尔勒香梨主产区赏花气象指数预测模型,以期为判别香梨花期的最适宜赏花日提供气象服务参考依据。结果表明:(1)新疆库尔勒香梨主产区始花期预测模型构成因子为3月平均最高气温、3月0cm地温、3月平均气温、3月40cm地温;阿拉尔、库尔勒始花期日序与气温呈一元线性负相关关系,阿克苏、轮台与地温和气温呈多元线性关系;正常年份模型误差在3d内的概率分别为阿拉尔93.5%、阿克苏93.5%、库尔勒100%、轮台96.8%。(2)人体舒适度指数划分为最适宜、次适宜、一般和不适宜四个等级,2022年花期前后人体舒适度指数最适宜日数分别为阿拉尔22d,阿克苏24d,库尔勒16d,轮台18d。(3)香梨赏花气象指数取适宜花期时段与人体舒适度指数的交集,划分为最适宜(五颗星推荐指数)、次适宜(四颗星推荐指数)、一般(三颗星推荐指数)和不适宜(一颗星推荐指数)四个等级。2022年五颗星推荐赏花日阿克苏为4月11−14日,阿拉尔为4月10−15日,库尔勒为4月10−15日,轮台为4月11−14日。模拟结果符合实际,香梨赏花气象指数结合体感温度与花期时段,在后续香梨始花期预报工作及新疆旅游气象服务中具有较好的应用价值和潜力。

关键词: 库尔勒香梨, 逐步回归分析, 人体舒适度指数, 赏花气象指数

Abstract: In order to explore the prediction model of the initial flowering period of fragrant pears in Xinjiang, and identify the most suitable flower viewing day of fragrant pears during the flowering period, the meteorological elements and the daily sequences of the initial flowering period of fragrant pears production areas in Aksu, Alar, Luntai and Korla of Xinjiang from 1990 to 2020 were analyzed by the stepwise regression method, and the prediction model of the meteorological index of fragrant pears main production areas in Korla of Xinjiang was established in combination with the human comfort index, which was expected to provide reference for Xinjiang Tourism meteorological service. The results showed that: (1) the composition factors of the prediction model for the initial flowering period of Korla fragrant pear in Xinjiang were the average maximum temperature in March, the soil temperature in depth of 0cm in March, the average temperature in March, and the soil temperature in depth of 40cm in March. There was a linear relationship (negative correlation) between the diurnal sequence and the air temperature at the beginning of flowering in Alar and Korla, and a linear relationship (multiple correlation) between the soil temperature and air temperature in Aksu and Luntai. The probability of model error within 3 days in normal years was 93.5% in Alar, 93.5% in Aksu, 100% in Korla and 96.8% in Luntai. (2) The optimized human comfort index was divided into four levels: the most suitable, sub-suitable, general and unsuitable. The most suitable days for the optimized human comfort index were 22 days in Alar, 24 days in Aksu, 16 days in Korla and 18 days in Luntai before and after the flowering period in 2022. (3) The meteorological index of fragrant pear flower appreciation takes the intersection of the suitable flowering period and the human comfort index, and was divided into four grades: the most suitable (five-star recommended index), sub-suitable (four-star recommended index), general (three-star recommended index) and unsuitable (one-star recommended index). In 2022, the five-star recommended flower viewing days were from April 11 to April 14 in Aksu, from April 10 to April 15 in Alar, from April 10 to April 15 in Korla, and from April 11 to April 14 in Luntai, respectively. The simulation results were in line with the reality. The meteorological index of fragrant pear flower appreciation, combined with the body temperature and the flowering period, had good application value and potential in the follow-up prediction of fragrant pear initial flowering period and the tourism meteorological service in Xinjiang.

Key words: Fragrant pear, Stepwise regression analysis, Human comfort index grade, Meteorological index of fragrant pear flower appreciation