Ratio of (CaO + MgO) / (SiO2 + Al2O3) | Type of iron ores |
<0.5 | Acidic ore |
0.5 – 0.8 | seIIli-self fluxing ore |
0.8 – 1.2 | Self fluxing ore |
>1.2 | Alkaline ore |
Deposits of Industrial Type | Type of Iron Ore | Grade (%) | Basic Reserve (in MMT) | Major Distribution | Remarks |
Anshan | Magnetite | 30 – 35 | 25,000 | Liaoning, Hebei | Major mines in China |
Panzhihua | Vanadium-titanium Magnetite | 5,000 | Panzhihua | Associated with vanadium and titanium | |
Daye | Magnetite, Hematite | 35 – 60 | 4,000 | Yangtze river, Handan, Laiwu | |
Baiyunebo | Magnetite, Rare-earth Ore | 30 – 60 | 2,400 | Inner Mongolia | Associated with super large scale of rare earth mines |
Meishan | Magnetite, Hematite | 35 – 60 | 2,000 | Jiangsu | Rich iron ores |
Ningxiang | Hematite | 30 | 4,000 | Western Hubei | Contain sulphur and harmful impurities |
Mengku | Magnetite, more Rich-iron Ore | 35 – 60 | 1,300 | Yunnan, Xinjiang | Rich iron ores |
Country | Type | Chemical Composition (%) | |||||
Iron (Fe) | Silica (SiO2) | Alumina (Al2O3) | Phosphorus (P) | Sulphur (S) | Loss on ignition (Loi) | ||
Australia | Newman Fines | 62.5 | 4.5 | 2.2 | 0.08 | 0.02 | 2.5 |
Australia | Yandi Fines | 58 | 5 | 1.7 | 0.05 | 0.02 | 8.5 |
Australia | Robe River Fines | 57 | 5.7 | 2.7 | 0.02 | 0.05 | 9.5 |
Brazil | Standard Sinter Feed Guaiba | 64.5 | 4 | 1.5 | 0.05 | 0.01 | 1.5 |
Brazil | Carajas Fines | 66 | 1.2 | 1 | 0.04 | 0.01 | 1 |
Australia | Newman Lumps | 64 | 2.6 | 1.3 | 0.06 | 0.03 | 1.5 |
Australia | Yandi Lumps | 59.5 | 4 | 1.5 | 0.05 | 0.02 | 8.5 |
Brazil | New Tubarao Lumps | 66.5 | 2.5 | 1 | 0.05 | 0.03 | 1 |
Location | Water Depth (m) | Length of Port (m) | Number of Berths | Grade of Berths (kt) |
Dalian | 23 | 450 | 1 | 300 |
18.6 | 437 | 1 | 150 | |
Yingkou | 20 | 405 | 1 | 200 |
15.5 | 340 | 1 | 150 | |
25 | 406 | 1 | 300 | |
Qinhuangdao | 1 | 100 | ||
Jingtang | 2 | 250 | ||
Tianjin | 20.8 | 431 | 1 | 200 |
22.8 | 375 | 1 | 200 / 250 | |
Qingdao | 13.5 | 270 | 1 | 100 |
13.5 | 240 | 1 | 100 | |
13.5 | 300 | 1 | 100 | |
11 | 160 | 1 | 100 | |
11 | 220 | 2 | 100 | |
21 | 383 | 1 | 250 | |
17 | 440 | 1 | 150 | |
14 | 220 | 1 | 100 | |
Shanghai | 13.2 | 743 | 2 | 200 |
Nantong | 16 | 560 | 2 | 150 |
Beilun | 20.5 | 422 | 1 | 200 / 300 |
18.2 | 351 | 1 | 100 | |
Rizhao | 1 | 200 | ||
1 | 300 | |||
Lanshan | 1 | 200 | ||
Lianyungang | 1 | 300 | ||
Majishan | 1 | 300 | ||
Caofeidian | 4 | 250 | ||
4 | 250 | |||
Zhanjiang | 1 | 250 | ||
Fangchenggang | 1 | 200 |