摘要
以"天气后报网"为数据源,通过现实情况验证数据准确性,利用Python爬虫技术,选用2014—2018年合肥市空气质量数据,基于Tableau软件对收集的空气质量数据进行了可视化分析。分别从空气质量指数、质量等级、空气质量预测三个方面对合肥市空气质量进行可视化分析和总结,揭示合肥市空气质量特征和未来空气质量发展趋势。
Taking "weather report network" as the data source, verifying the accuracy of the data through the actualsituation, using Python crawler technology, choosing the air quality data of Hefei City from 2014 to 2018, the collect-ed air quality data were visualized and analyzed based on tableau software. The visual analysis and summary of airquality in Hefei were carried out from three aspects: air quality index, quality grade and air quality prediction. Thecharacteristics of air quality and the future development trend of air quality in Hefei were revealed.
引文
[1]贺爱香,魏巧玲,范奎奎,等.基于灰色聚类法的合肥市空气质量综合评价研究[J].安庆师范大学学报(自然科学版),2019(1):99-103,112.
[2]赵明艳.基于卷积神经网络的空气质量预测[J].科学技术创新,2019(9):10-12.
[3]李慧杰,王秀兰,王计平,等.2013—2017年间京津冀地区空气质量及影响因素分析[J].环境监测管理与技术,2019(2):21-25.
