Study on Temperature Disaster Indicators of Passion Fruit in Southwest Fujian, China

Mou, Shiyun and Shao, Ping and Shi, Yuchen and Yuan, Shujie and Su, Lixin (2024) Study on Temperature Disaster Indicators of Passion Fruit in Southwest Fujian, China. Journal of Geoscience and Environment Protection, 12 (01). pp. 1-12. ISSN 2327-4336

[thumbnail of gep_2024010409455820.pdf] Text
gep_2024010409455820.pdf - Published Version

Download (1MB)

Abstract

In China, meteorological forecasting relies on meteorological data obtained from regional and national stations. However, there were discrepancies between the data collected from the meteorological station at the passion fruit growing base and the data from regional and national stations. Consequently, the high and low temperature disaster indicators determined by the meteorological station at the passion fruit growing base cannot be applied to meteorological forecasting. To address this issue and facilitate the monitoring and early warning of high and low temperature disasters in passion fruit cultivation in Fujian, China, we used multi-source hourly temperature data (including the data from meteorological observation stations in passion fruit growing bases, the nearest regional stations, and national surface conventional meteorological observation stations) in three cities in southwestern Fujian (Longyan, Sanming, and Zhangzhou) spanning the years 2020 to 2022. By employing comprehensive statistical analysis methods (0.5 interval division and Cumulative frequency), we identified that passion fruit in southwestern Fujian was susceptible to high temperature disasters during the blooming-fruiting period, as well as low temperature disasters during the sprouting period. Consequently, we developed high and low temperature disaster indicators based on data from regional and national stations for different phenological periods of passion fruit in this region.

Item Type: Article
Subjects: GO for STM > Multidisciplinary
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 06 Jan 2024 08:18
Last Modified: 06 Feb 2024 06:56
URI: http://archive.article4submit.com/id/eprint/2578

Actions (login required)

View Item
View Item