基于灰色关联模型对江苏省PM2.5浓度影响因素的分析

贺祥, 林振山, 刘会玉, 齐相贞

Analysis of the driving factors of PM2.5 in Jiangsu province based on grey correlation model

Xiang HE, Zhenshan LIN, Huiyu LIU, Xiangzhen QI

表4 江苏省13个省辖市PM2.5浓度与影响指标间的灰色关联系数矩阵

Tab. 4 Grey correlation coefficient matrix of PM2.5 of 13 provincial cities in Jiangsu province

指标体系 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 指标层 指标因子 空气质量指标与气象要素 X1 1.0000 0.8093 0.6380 0.8118 0.5046 0.8474 0.5368 0.6137 0.8674 0.7413 0.9793 0.6384 0.8828 X2 0.3774 0.8095 0.5429 0.6108 0.5763 0.7643 0.4322 0.6804 1.0000 0.6773 0.6053 0.5127 0.6448 X3 0.4288 0.7470 0.5428 0.7107 0.8259 0.7074 0.4202 0.9593 0.9133 0.6184 0.5989 0.6503 0.6473 X4 0.9368 0.7547 0.8549 0.6917 0.4955 0.6599 0.7124 0.4344 0.8497 0.7477 0.7160 0.3588 0.6093 X5 0.4312 0.6257 0.9539 0.6481 0.9049 0.9586 0.7937 0.4284 0.6299 0.7162 0.9587 0.8246 0.7918 X6 0.5130 0.4639 0.5429 0.7006 0.6376 0.8272 0.4096 0.8935 0.9370 0.9917 0.5729 0.8318 0.8769 X7 0.6773 0.7537 0.4636 0.7061 0.7285 0.3866 0.9756 0.6192 0.5076 0.5791 0.5747 0.5410 0.4247 X8 0.6541 0.6167 0.7200 0.8161 0.4955 0.6279 0.6876 0.4621 0.8484 0.7549 0.7958 0.5006 0.4781 X9 0.4469 0.6891 0.4634 0.4876 0.7983 0.5945 0.6950 0.8026 0.4522 0.7323 0.5425 0.5074 0.5939 X10 0.4559 0.5499 0.5429 0.6577 0.5046 0.7919 0.6204 0.4983 0.3438 0.6876 0.6239 0.8461 0.8536 PM2.5污染来源 X11 1.0000 0.5378 0.6029 0.6745 0.7463 0.9207 0.6876 0.6105 0.7790 0.7008 0.4669 0.4114 0.4999 X12 0.4557 0.5051 0.7284 0.5671 0.4955 0.9551 0.7699 0.4843 0.8107 0.6361 0.4808 0.3839 0.4247 X13 1.0000 0.7283 0.8507 0.8613 0.8819 0.7267 0.9971 0.4886 0.7901 0.9270 0.6205 0.3682 0.4247 X14 1.0000 0.7749 0.5590 0.7736 0.6272 0.9400 0.6876 0.4500 0.9585 0.5812 0.4775 0.3709 0.4314 X15 0.5995 0.7719 0.6773 0.9214 0.4955 0.9534 0.6959 0.4679 1.0000 0.5694 0.5397 0.3784 0.4501 X16 0.5597 0.7330 0.7129 0.5085 0.4955 0.9053 0.8600 0.4833 0.7980 0.5866 0.6169 0.4073 0.4247 X17 0.5011 0.9063 0.6819 0.6551 0.4955 0.9111 0.7261 0.4937 0.8841 0.6374 0.5755 0.3795 0.4247 X18 0.9493 0.9559 0.7221 0.7488 0.4955 0.7779 0.7917 0.4724 0.6395 0.5118 0.5213 0.3588 0.6598 X19 0.4100 0.4855 0.5162 0.5576 0.6115 0.3866 0.7166 0.4762 0.7886 0.7224 0.4636 0.4679 0.4459 城市化与产业结构 X20 0.3333 0.6726 0.6414 0.5446 0.6295 0.4005 0.4648 0.6237 0.3346 0.5155 0.5711 0.8246 0.6530 X21 0.4450 0.7011 0.5540 0.8915 0.7427 0.7092 0.7061 0.8301 0.4229 0.5358 0.4636 0.8246 0.8163 X22 0.3333 0.6507 0.6303 0.6742 0.9715 0.6706 0.3928 0.7782 0.3621 0.6430 0.7422 0.9319 0.7132 X23 1.0000 0.7288 0.6250 0.5859 0.8579 0.9013 0.8202 0.4694 0.9382 0.5540 0.5023 0.3674 0.4247 X24 0.4384 0.5422 0.5851 0.6982 0.7762 0.5903 0.7049 0.4652 0.8233 0.6546 0.6293 0.4251 0.4247 X25 0.3333 0.8318 0.6750 0.8051 0.7567 0.4829 0.6161 0.6489 0.3462 0.6503 0.9876 0.8249 0.8100 X26 0.6323 0.5838 0.9134 0.7155 0.4955 0.6230 0.8944 0.4633 0.6934 0.8047 0.7125 0.5489 0.4247 X27 1.0000 0.7586 0.6880 0.8828 0.5391 0.9320 0.7188 0.4968 0.8292 0.8194 0.5391 0.4279 0.4247