Analysis of Eco-Tourism Climate Resources in Xingwen, China Based on the Comfort Index and the Negative Air (Oxygen) Ion

The present work investigates an analysis of Eco-Tourism Climate Resources in Xingwen, China based on the Comfort Index and Negative Air (Oxygen) Ion (“NAI” for short in this article) concentration. The daily temperature, precipitation, wind speed, sunshine hours, and relative humidity data of the Xingwen National Meteorological Station from 1999 to 2018, as well as the NAI data of Feiwu Cave station and Shoushan Lake station in Xingwen of 2018 were used in this study. Based on the analysis of the characteristics of basic meteorological elements, the index of climate comfort of human living environment and the NAI variation in Xingwen, the eco-tourism climate resources in this area were evaluated comprehensively. The results show that: The climate is mild, the precipitation is abundant and the seasonal variation trend of precipitation and heat is similar in the study area. The annual average temperature of this area is 17.8°C, the annual average precipitation is 1096 mm, the annual average precipitation days are 186 days, the annual average relative humidity is 81%, the annual average wind speed is 1.3 m/s, and the annual average sunshine hours are 999 h. The living environment comfort level reaches the “comfort” level for 6 months per year. In addition, the concentration of NAI in Xingwen remains at the highest level 7 throughout the year, and the rate of good air quality is extremely high. Overall, the study area has high-quality ecological climate resources that are conducive to the development of forest recuperation, leisure and vacation and other ecological tourism activities.

Research on Smart Meteorology Serving Agriculture under the Rural Revitalization Strategy—Taking Mingshan Tea as an Example

It is imperative to prioritize the development of agriculture and rural areas and improve the efficiency of smart meteorological services for agricultural products under the strategy of rural revitalization. In this article, we take Mingshan tea, one of the characteristic industries in Sichuan Province, as an example to explore the related issues of smart meteorology serving agriculture. The status, value, and demand of tea smart meteorological services have been analyzed in this article. In addition, in response to the increasing demand for meteorological services in agricultural production, we have proposed to solve problem of tea meteorological service by strengthening talent, technology, product refinement, and dissemination. We have also proposed specific measures for tea intelligent meteorology to serve agriculture, in order to provide reference for future service practices. We need to continuously improve the methods and content of meteorological services, and improve the level of meteorological services. At the same time, utilizing smart meteorological service methods provides strong support for rural revitalization. This not only increases the income of tea farmers, but also maximizes the technical support role of meteorology in disaster prevention and reduction.