Abstract: Meteorological disasters seriously threaten the high-quality development of tea industry. The refined assessment of meteorological disaster risks can provide scientific basis for the precise prevention and control of tea production disasters. Based on the natural disaster risk theory, the daily meteorological data of seven standard meteorological stations in Anji County and its surrounding areas from 1971 to 2020 as well as 23 automatic meteorological stations in Anji County from 2012 to 2020, statistical data of agricultural socioeconomy of 15 townships, and the multi-source information such as tea planting distribution map interpreted from GF-2 satellite remote sensing data and digital elevation model (DEM) data were adopted for calculation. We used the weighted comprehensive index method, fuzzy hierarchy analysis method, and Geographical Information System (GIS) technology to analyze the refined meteorological disaster risk and zoning for Anji white tea. The results showed that the maximum risk of the disaster factor and the maximum exposure of the disaster environment of Anji white tea were distributed in the high-altitude mountainous areas of the south, the highest value of the vulnerability of the disaster bearing body was distributed in the central plain, and the highest value of disaster prevention and mitigation ability was distributed in the central and eastern plain. Considering the comprehensive risk of each factor, the meteorological disaster risk of Anji white tea could be classified into three levels: low risk, medium risk, and high risk. The low-risk areas were mainly distributed in the north-central plain of Anji, accounting for 66.55% of the total area of Anji County. The medium-risk areas were mainly distributed in the middle and high altitude areas in the west and south of Anji County, accounting for 30.54% of the total area. The high-risk areas were mainly located in the high-altitude mountainous areas in the south, accounting for 3.01% of the total area. According to the tea planting map, 61.21%, 38.17%, and 0.62% of tea gardens in Anji County were distributed in low-risk, medium-risk, and high-risk areas, respectively. The refined risk zoning of meteorological disasters based on tea planting map could provide more accurate scientific basis for the management of Anji white tea.

Key words: Anji white tea, meteorological disaster, fuzzy analytic hierarchy process, risk index model, refined zoning