多元统计分析在滨海矿区水源识别中的应用——以三山岛金矿为例
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刘国伟,马凤山,郭捷,杜云龙,侯成录,李威
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Application of Multivariate Statistical Analysis to Identify Water Source in Coast Mine Area:As Example of Sanshandao Gold Mine
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Guowei LIU,Fengshan MA,Jie GUO,Yunlong DU,Chenglu HOU,Wei LI
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表1 -375 m中段水样水化学参数
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Table 1 Hydrochemical parameters of water samples from -375 m middle section
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水样位置 | K+/(mg·L-1) | Na+/(mg·L-1) | Ca2+/(mg·L-1) | Mg2+ /(mg·L-1) | Cl-/(mg·L-1) | SO42-/(mg·L-1) | HCO /(mg·L-1) | pH值(标准值) | EC/(μs·cm-1) | TDS/(mg·L-1) |
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375-1-1 | 248.4 | 10 400 | 761.5 | 1 287.9 | 19 852 | 2 305.4 | 219.6 | 7.19 | 44 900 | 35 074.8 | 375-1-2 | 197 | 9 750 | 801.6 | 1 222.3 | 18453.5 | 2 334.3 | 233.7 | 7.74 | 39 600 | 32 995 | 375-1-3 | 205 | 10 031.2 | 849.7 | 1 239.3 | 18 916.1 | 2 497.6 | 244.6 | 7.07 | 42 300 | 33 991.5 | 375-1-4 | 190.2 | 9 800 | 841.7 | 1 215 | 19 224.5 | 624.4 | 250.7 | 7.31 | 42 100 | 32 147.5 | 375-1-5 | 179.7 | 9 875 | 721.4 | 1 166.4 | 18 402.1 | 2 372.7 | 253.2 | 7.34 | 40 000 | 32 974.6 | 375-2-1 | 286 | 10 650 | 697.4 | 1 312.2 | 19 852 | 2 286.2 | 207.4 | 7.03 | 45 200 | 35 292.8 | 375-3-1 | 299.2 | 9 445 | 537.1 | 1 132.4 | 17 583.2 | 2 017.3 | 219.6 | 7.36 | 40 800 | 31 233.8 | 375-3-2 | 241 | 8 900 | 681.4 | 1 040 | 16 705.8 | 2 190.2 | 233.7 | 7.56 | 37 000 | 29 992.1 | 375-3-3 | 275.8 | 9 200 | 753.5 | 1 069.2 | 17 579.7 | 2 286.2 | 273.3 | 7.45 | 39 800 | 31 437.9 | 375-4-1 | 316.8 | 9 825 | 641.3 | 1 044.9 | 17 583.2 | 2 017.3 | 201.3 | 7.49 | 41 100 | 31 629.8 | 375-4-2 | 258 | 8 900 | 921.8 | 945.3 | 17 014.2 | 2 295.8 | 181.2 | 7.46 | 37 200 | 30 516.3 | 375-4-3 | 282.5 | 9 725 | 1 122.2 | 1 001.2 | 18 607.7 | 2 516.8 | 170.8 | 7.11 | 41 800 | 33 433.8 | 375-4-4 | 285.5 | 9 900 | 1 314.6 | 831.1 | 18 710.5 | 2 401.5 | 168.4 | 7.32 | 40 800 | 33 614.5 | 375-4-5 | 285.1 | 10 000 | 1 154.3 | 916.1 | 18 874.3 | 2 401.5 | 170.8 | 7.03 | 40 900 | 33 821.3 | 375-5-1 | 260 | 12 050 | 1 146.3 | 1 020.6 | 21 979 | 2 459.1 | 119.6 | 7.29 | 50 400 | 39 052.7 | 375-5-2 | 208 | 10 886.2 | 1 523 | 972 | 20 818 | 2 545.6 | 114.1 | 7.41 | 42 500 | 37 081.6 | 375-5-3 | 195 | 10 900 | 1 595.2 | 957.4 | 19 738.6 | 2 708.9 | 108 | 7.05 | 45 800 | 36 216.5 | 375-5-4 | 226.5 | 11 250 | 1 643.3 | 823.8 | 21 280.6 | 2 603.2 | 85.4 | 7.32 | 44 700 | 37 916.2 | 375-5-5 | 252.5 | 11 500 | 11 500 | 517.6 | 21 471.7 | 2 353.5 | 81.8 | 7.03 | 44 700 | 38 156.3 | 375-6-1 | 337.5 | 11 450 | 2 084.2 | 777.6 | 22 156.3 | 2 497.6 | 107.4 | 7.02 | 49 700 | 39 411.6 | 375-6-2 | 262 | 11 819 | 2 276.5 | 726.6 | 22 411.5 | 2 488 | 108 | 7.06 | 44 400 | 40 117.1 | 375-6-3 | 257.8 | 9 062.5 | 505 | 1 142.1 | 17 560.5 | 2 315 | 236.1 | 7.64 | 34 500 | 31 080.1 | 375-7-1 | 305 | 10 700 | 1 723.4 | 923.4 | 21 270 | 2 363.1 | 134.2 | 7.17 | 48 100 | 37 424.9 | 375-7-2 | 251 | 9 562.5 | 521 | 1 154.3 | 17 642.4 | 2 353.5 | 225.7 | 7.16 | 39 300 | 31 716.5 | 375-7-3 | 265.6 | 9 187.5 | 481 | 1 161.5 | 17 731.7 | 2 238.2 | 230 | 7.66 | 34 400 | 31 296.2 | 375-8-1 | 290.4 | 10 350 | 1 026 | 1 078.9 | 18 965.7 | 1 729.1 | 158.6 | 7.3 | 44 100 | 33 598.7 | 375-8-2 | 294 | 10 937.5 | 2 312.6 | 626.9 | 21 794.7 | 2 257.4 | 102.5 | 7.66 | 43 900 | 38 344.7 | 375-8-3 | 198.1 | 10 438 | 721.4 | 1 287.9 | 19 597.1 | 2 401.5 | 233.7 | 7.22 | 43 000 | 34 884 | 375-8-4 | 281.3 | 9 062.5 | 521 | 1 154.3 | 17 389.3 | 2 353.5 | 230 | 7.54 | 35 000 | 30 992.4 | 375-9-1 | 205 | 10 375 | 681.4 | 1 268.5 | 18 919 | 2 449.5 | 256.2 | 7.63 | 42 500 | 34 154.6 | 375-9-2 | 262.5 | 9 250 | 521 | 1 154.3 | 17 731.7 | 2 343.9 | 222.7 | 7.57 | 34 900 | 31 486.7 |
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