Analysis of the Correlation between Tourism and Climate in the Ancient City of Langzhong

Based on the meteorological data of Langzhong from 1981 to 2016,a comprehensive comfort index model of tourism climate suitable for Langzhong is established by calculating the meteorological and climatic factors affecting tourism in the ancient city of Langzhong.The model is used to evaluate the climate comprehensive comfort of Langzhong,and its grades and suitable tourism periods are divided.Based on the monthly index of passenger flow volume in the ancient city of Langzhong from 2013 to 2015,a mathematical model is established through OLS regression analysis to analyze the correlation between changes in monthly passenger flow volume in a year and the comprehensive comfort of tourism climate in the ancient city of Langzhong.The results show that the climate in Langzhong is suitable for tourism in spring and autumn.It is suitable for tourism from February to June and from September to December,of which it is most suitable for tourism from April to May and from September to October.It is less suitable for tourism in only January and from July to August,and there is no unsuitable period.The changes in monthly passenger flow volume in a year are mainly affected by the meteorology and climate.The changes of climate comprehensive comfort in various month have an extremely significant impact on passenger flow volume.The elastic coefficient of impact of climate comprehensive comfort index on the monthly index of passenger flow volume is 0.9614%.

Design and Implementation of Multi-element Integration Platform Based on Tianqing Data

In order to better carry out meteorological service and improve service efficiency,based on Tianqing data multi-factor integration platform,using Tianqing intensive data source of big data cloud platform,daily and hourly precipitation,temperature and wind data can be acquired,and C#language can be used to realize data analysis,text template nesting,meteorological material generation and archive management functions.The application shows that the platform can quickly complete the production of rain information within 2 min,and the material filing management has zero errors,which is superior to the traditional methods in terms of framework design and data processing material management.