中国农业气象 ›› 2026, Vol. 47 ›› Issue (7): 1161-1171.doi: 10.3969/j.issn.1000-6362.2026.07.013

• 农业生物气象栏目 • 上一篇    

成都梨花溪景区梨花赏花期气象指数构建

邓锐捷,赵桂琼,蔡欣明,陈志龙   

  1. 成都市新津区气象局,成都 611430
  • 收稿日期:2025-06-30 出版日期:2026-07-22 发布日期:2026-07-22
  • 作者简介:邓锐捷,E-mail:649021280@qq.com
  • 基金资助:
    中国气象局气候资源经济转化重点开放实验室开放课题(2025013)

Development of Meteorological Index of Flower Appreciation for Pear Blossom in the Chengdu Lihuaxi Scenic Area

DENG Rui-jie, ZHAO Gui-qiong, CAI Xin-ming, CHEN Zhi-long   

  1. Chengdu Xinjin District Meteorological Bureau, Chengdu 611430, China
  • Received:2025-06-30 Online:2026-07-22 Published:2026-07-22

摘要:

基于1999−2024年成都梨花溪景区梨花花期物候观测资料与地面气象观测资料,明确梨花花期(始花期−末花期)的变化特征,利用Pearson相关分析筛选影响梨花始花期的主要气象因子,基于此采用逐步回归法构建梨花始花期模拟模型并验证;基于景区梨花花期为赏花时段,结合同期人体舒适度条件、降水条件风力条件构建适用于都梨花溪景区梨花赏花期气象指数,以期为公众赏花、景区管理宣传提供旅游气象服务支撑。结果表明:(11999−2024年成都梨花溪景区梨花花期为31−410日,花期无显著变化趋势。(2)影响成都梨花溪景区梨花始花期的关键气象要素温度,始花期日序与自1月中旬起气温以及前冬≥0℃≥5℃≥10℃有效积温呈负相关关系,通过逐步回归法建立梨花溪景区梨花始花期预测模型,模型构成因子为≥0℃有效积温1月中旬平均最高气温,2旬平均最低气温经检验,梨花始花期实测值与预测值相差小于5d的比例达80%,平均绝对误差3.4d模拟结果较理想(P<0.01)。(3)构建的成都梨花溪景区梨花赏花期气象指数分为非常适宜赏花、适宜赏花、较适宜赏花不适宜赏花共4个等级,当梨花开花率最高(稳定超过50%旅游气象指数非常好(人体舒适度最适宜,白天无降水与大风),赏花气象指数为非常适宜赏花;当开花率较高(从花序第一批花朵开放逐步提升至50%或从50%逐步下降至多数花朵凋落),旅游气象指数非常好,赏花气象指数为适宜赏花当开花率最高,旅游气象指数较好(人体舒适度次适宜,白天无降水与大风),赏花气象指数为适宜赏花;当开花率较高,旅游气象指数一般(人体舒适度最适宜或次适宜,白天有小雨,无大风),赏花气象指数为较适宜赏花;当旅游气象指数差(人体舒适度不适宜、白天有中雨及以上和有大风3个不利条件出现其一),赏花气象指数为不适宜赏花。该指数结合花期时段与旅游气象条件,对公众赏花提供指导在旅游气象服务中具有较好的应用价值与潜力

梨花花期|始花期预测模型|旅游气象指数|赏花期气象指数

关键词: 梨花花期, 始花期预测模型, 旅游气象指数, 赏花期气象指数

Abstract:

Based on the phenological observation data of pear blossom flowering periods and meteorological data in Chengdu Lihuaxi scenic area from 1999 to 2024, this study clarified the variation characteristics of the pear blossom flowering period (from the first flowering to the end flowering). It used Pearson correlation analysis to screen out the main meteorological factors affecting the first flowering. Based on these factors, a simulation model for the first flowering was developed by using stepwise regression. The period of the pear blossoms was defined as the optimal flower−viewing period. Combining human comfort conditions, precipitation conditions and wind conditions, a meteorological index for the flower appreciation of pear blossom in Lihuaxi scenic area was constructed. The aim was to provide scientific meteorological support for public flower appreciation activities and scenic area management. The results showed that: (1) the flowering period of pear blossoms in Chengdu Lihuaxi scenic area spaned from March 1 to April 10, with no significant trend in temporal change from 1999 to 2024. (2) Temperature was the key meteorological factor affecting the first flowering date of pear blossoms in Chengdu Lihuaxi scenic area. The first flowering was negatively correlated with the temperature starting from mid January and the effective accumulated temperature of ≥0, 5and 10in the previous winter. A prediction model for the first flowering of pear blossoms in Chengdu Lihuaxi scenic area was established via stepwise regression, and the factors composing the model included the effective accumulated temperature of ≥0, the average maximum temperature in mid January, the average minimum temperature in mid February. Validation showed that in 80% of cases the predicted first flower date differed from the observed date by less than 5d, with a mean absolute error of 3.4d. The simulation result was relatively satisfactory (P<0.01). (3) The constructed meteorological index of flower appreciation in Chengdu Lihuaxi scenic area was categorized into 4 levels: very suitable, suitable, moderately suitable and unsuitable for flower viewing. Specifically, the index was rated as very suitable when the blooming rate of pear blossoms was the highest (stable above 50%) and the tourist meteorological index was very good (the most suitable for human comfort with no daytime precipitation and strong wind). The index was suitable when the blooming rate was relatively high (gradually opened to 50% form first flowering or decreased from 50% until most flowers fallen off) and the tourist meteorological index was very good, or when the blooming rate was the highest and the tourist meteorological index was good (subsuitable for human comfort with no daytime precipitation and strong wind). The index was moderately suitable when the blooming rate was relatively high and the tourist meteorological index was general (the most suitable or subsuitable for human comfort with light rain and no strong wind during daytime). The index was unsuitable when the tourist meteorological index was bad (unsuitable for human comfort, moderate rain or heavier or strong wind during daytime). Combining the flowering period and tourism meteorological conditions, this index can provide guidance for the public to appreciate flowers and has favorable application value and potential in the subsequent tourism meteorological services.

Key words: Pear blossom flowering, First flowering forecasting model, Tourist meteorological index, Meteorological index of flower appreciation