基于灰色关联模型对江苏省PM2.5浓度影响因素的分析
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贺祥, 林振山, 刘会玉, 齐相贞
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Analysis of the driving factors of PM2.5 in Jiangsu province based on grey correlation model
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Xiang HE, Zhenshan LIN, Huiyu LIU, Xiangzhen QI
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表6 江苏省13个省辖市PM2.5浓度与影响指标层的综合关联度 |
Tab. 6 Synthetic grey correlation degrees between PM2.5 and the index layers of 13 provincial cities in Jiangsu province |
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指标 | 南京市 | 无锡市 | 徐州市 | 常州市 | 苏州市 | 南通市 | 连云港市 | 淮安市 | 盐城市 | 扬州市 | 镇江市 | 泰州市 | 宿迁市 | PM2.5浓度 | 73.8167 | 67.2667 | 67.2833 | 66.4833 | 65.9167 | 61.5083 | 61.825 | 68.65 | 58.3 | 65.9333 | 67.275 | 72.1667 | 68.8083 | R空气质量指标与气象要素 | 0.6219 | 0.6918 | 0.6244 | 0.7014 | 0.6590 | 0.6993 | 0.5764 | 0.6497 | 0.7390 | 0.7204 | 0.6680 | 0.6285 | 0.6889 | R污染物来源 | 0.8902 | 0.7420 | 0.6613 | 0.7208 | 0.5802 | 0.8317 | 0.3476 | 0.5063 | 0.8409 | 0.6582 | 0.5415 | 0.8490 | 0.4790 | R城市化与产业结构 | 0.6511 | 0.6980 | 0.6815 | 0.7052 | 0.7270 | 0.7358 | 0.4476 | 0.5695 | 0.7118 | 0.6690 | 0.6107 | 0.6865 | 0.5431 |
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