Table 5 All regression models for the other 17 cities.
City | Linear regression model | R2 |
---|---|---|
Changchun | ACRHP = 490.3ANLI − 1134 | 0.7991 |
Changsha | ACRHP = 516.8ANLI − 630.9 | 0.9100 |
Chengdu | ACRHP = 456.3ANLI − 1091 | 0.8642 |
Chongqing | ACRHP = 2099ANLI − 887.4 | 0.9510 |
Guiyang | ACRHP = 628ANLI − 1036 | 0.8661 |
Harbin | ACRHP = 760.3ANLI − 644.1 | 0.8289 |
Hohhot | ACRHP = 654.9ANLI − 959.7 | 0.9297 |
Kunming | ACRHP = 590.7ANLI + 175.5 | 0.9639 |
Lanzhou | ACRHP = 756.5ANLI − 1040 | 0.8096 |
Nanchang | ACRHP = 789ANLI − 3007 | 0.8718 |
Taiyuan | ACRHP = 661.2ANLI − 4331 | 0.8814 |
Urumqi | ACRHP = 618.1ANLI − 1601 | 0.9032 |
Wuhan | ACRHP = 364.6ANLI-1962 | 0.9146 |
Xi’an | ACRHP = 462ANLI − 1927 | 0.9598 |
Xining | ACRHP = 701.6ANLI − 874.6 | 0.9135 |
Yinchuan | ACRHP = 322.2ANLI + 184.6 | 0.8540 |
Zhengzhou | ACRHP = 248.6ANLI − 2069 | 0.8858 |
City | Quadratic regression model | R2 |
Changchun | ACRHP = 43.53ANLI2 − 384.7ANLI + 2942 | 0.8316 |
Changsha | ACRHP = −9.176ANLI2 + 686ANLI − 1329 | 0.9113 |
Chengdu | ACRHP = −22.84ANLI2 + 1076ANLI − 4904 | 0.8906 |
Chongqing | ACRHP = −66.95ANLI2 + 2379ANLI − 1152 | 0.9512 |
Guiyang | ACRHP = −38.14ANLI2 + 1173ANLI − 2865 | 0.8710 |
Harbin | ACRHP = 31.16ANLI2 + 380.2ANLI + 422.1 | 0.8312 |
Hohhot | ACRHP = 48.33ANLI2 + 26.62ANLI + 868.4 | 0.9446 |
Kunming | ACRHP = −0.8514ANLI2 + 601.9ANLI + 142.8 | 0.9640 |
Lanzhou | ACRHP = 2.221ANLI2 + 728.4ANLI − 956.9 | 0.8097 |
Nanchang | ACRHP = 81.99ANLI2 − 713.4ANLI + 3516 | 0.9021 |
Taiyuan | ACRHP = 5.554ANLI2 + 501.6ANLI − 3219 | 0.8816 |
Urumqi | ACRHP = 61.19ANLI2 − 483ANLI + 3035 | 0.9151 |
Wuhan | ACRHP = −12.92ANLI2 + 852.6ANLI − 6196 | 0.9327 |
Xi’an | ACRHP = 5.921ANLI2 + 298ANLI − 872.7 | 0.9610 |
Xining | ACRHP = 98.83ANLI2 − 381.6ANLI + 1855 | 0.9304 |
Yinchuan | ACRHP = 25.34ANLI2 − 183.8ANLI + 2481 | 0.8724 |
Zhengzhou | ACRHP = 3.981ANLI2 + 49.85 ANLI + 250.7 | 0.8899 |
City | Logarithm regression model | R2 |
Changchun | ACRHP = 4519ln (ANLI) − 6465 | 0.7454 |
Changsha | ACRHP = 4448ln (ANLI) − 5504 | 0.9033 |
Chengdu | ACRHP = 5873ln (ANLI) − 9938 | 0.8836 |
Chongqing | ACRHP = 4139ln (ANLI) + 658.6 | 0.9429 |
Guiyang | ACRHP = 4331ln (ANLI) − 4927 | 0.8682 |
Harbin | ACRHP = 4359ln (ANLI) − 3708 | 0.8068 |
Hohhot | ACRHP = 3816ln (ANLI) − 3643 | 0.8713 |
Kunming | ACRHP = 3646ln (ANLI) − 2591 | 0.9547 |
Lanzhou | ACRHP = 4608ln (ANLI) − 4592 | 0.8022 |
Nanchang | ACRHP = 6782ln (ANLI) − 10630 | 0.8293 |
Taiyuan | ACRHP = 9328ln (ANLI) − 19540 | 0.8768 |
Urumqi | ACRHP = 5344ln (ANLI) − 7609 | 0.8850 |
Wuhan | ACRHP = 6613ln (ANLI) − 14230 | 0.9299 |
Xi’an | ACRHP = 6065ln (ANLI) − 11260 | 0.9416 |
Xining | ACRHP = 3620ln (ANLI) − 3042 | 0.8841 |
Yinchuan | ACRHP = 3001ln (ANLI) −3368 | 0.8195 |
Zhengzhou | ACRHP = 5909ln (ANLI) − 14680 | 0.8674 |
City | Exponential regression model | R2 |
Changchun | ACRHP = 923.8e0.134ANLI | 0.8257 |
Changsha | ACRHP = 1232e0.1239ANLI | 0.8854 |
Chengdu | ACRHP = 1532e0.08369ANLI | 0.7966 |
Chongqing | ACRHP = 908.2e0.6073ANLI | 0.9357 |
Guiyang | ACRHP = 911.2e0.1792ANLI | 0.8406 |
Harbin | ACRHP = 1183e0.1906ANLI | 0.8233 |
Hohhot | ACRHP = 806.5e0.2028ANLI | 0.9395 |
Kunming | ACRHP = 1455e0.1476ANLI | 0.9560 |
Lanzhou | ACRHP = 969.4e0.2045ANLI | 0.8019 |
Nanchang | ACRHP = 643.5e0.1961ANLI | 0.9047 |
Taiyuan | ACRHP = 765.6e0.1292ANLI | 0.8739 |
Urumqi | ACRHP = 857.5e0.1625ANLI | 0.9137 |
Wuhan | ACRHP = 1194e0.07092ANLI | 0.8573 |
Xi’an | ACRHP = 979.4e 0.1042ANLI | 0.9493 |
Xining | ACRHP = 711.6e0.2474ANLI | 0.9317 |
Yinchuan | ACRHP = 1229e0.09771ANLI | 0.8688 |
Zhengzhou | ACRHP = 816.5e0.06194ANLI | 0.8893 |
City | Power regression model | R2 |
Changchun | ACRHP = 154.2ANLI1.379 | 0.8116 |
Changsha | ACRHP = 313.4ANLI1.157 | 0.9084 |
Chengdu | ACRHP = 225.6ANLI1.191 | 0.8557 |
Chongqing | ACRHP = 1347ANLI1.272 | 0.9495 |
Guiyang | ACRHP = 264.2ANLI1.301 | 0.8620 |
Harbin | ACRHP = 466.2ANLI1.183 | 0.8306 |
Hohhot | ACRHP = 251ANLI1.361 | 0.9392 |
Kunming | ACRHP = 676.3ANLI0.953 | 0.9639 |
Lanzhou | ACRHP = 338.7ANLI1.296 | 0.8096 |
Nanchang | ACRHP = 69.76ANLI1.834 | 0.8922 |
Taiyuan | ACRHP = 34ANLI1.876 | 0.8806 |
Urumqi | ACRHP = 159.1ANLI1.454 | 0.9085 |
Wuhan | ACRHP = 81.29ANLI1.389 | 0.9020 |
Xi’an | ACRHP = 91.67ANLI1.47 | 0.9609 |
Xining | ACRHP = 295.3ANLI1.346 | 0.9200 |
Yinchuan | ACRHP = 378.1ANLI0.9556 | 0.8527 |
Zhengzhou | ACRHP = 27.08ANLI1.554 | 0.8893 |