Weather Risk Management and Production Forecast of Tea in Xinyang City

DOI

10.2991/978-94-6463-570-6_21How to use a DOI?

Keywords

tea; meteorological factors; risk management; prediction model

Abstract

Meteorological conditions are one of the most important factors affecting tea yield, and the increase of meteorological disaster events due to climate change in recent years makes it particularly important to carry out tea disaster risk management and yield analysis and prediction based on the changes of meteorological factors. In this paper, using the meteorological data of Xinyang City, Henan Province, from 1990 to January-April 2010, the correlation analysis between meteorological factors and tea yield was carried out by using SPSS statistical software, and a multiple regression model for tea yield prediction of Xinyang City was established on the basis of the screened major meteorological factors. By further analysing the disaster-causing risk situation of each meteorological factor, corresponding meteorological risk management approaches for tea were proposed to mitigate the impact of meteorological risk on tea yield.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sen Bu
AU  - Xirong Guo
AU  - Yu Cao
PY  - 2024
DA  - 2024/11/22
TI  - Weather Risk Management and Production Forecast of Tea in Xinyang City
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 193
EP  - 200
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_21
DO  - 10.2991/978-94-6463-570-6_21
ID  - Bu2024
ER  -