Open AccessThe effect of mineral composition in the compound soil of soft rock and sand on special surface area and cation exchange capacity
Author(s) -
Ziqi Sun,
Biao Peng,
HU Ya
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/2/022082
Subject(s) - kaolinite , illite , plagioclase , cation exchange capacity , mineralogy , mineral , clay minerals , feldspar , quartz , calcite , geology , potash , montmorillonite , chemistry , soil water , potassium , soil science , paleontology , organic chemistry
The X-ray diffraction method and gas adsorption method were used to investigate the mineral composition and special surface area of different soft rocks, sands, and composed soil. The results showed that (1) Montmorillonite, kaolinite, potash feldspar, calcite, quartz, plagioclase and illite, constitute the soft rock. Quartz, potash feldspar, plagioclase, calcite, montmorillonite, illite, and kaolinite constitute the soft rock in the Mu Us sandy land. There are several types of soft rocks, and there are some differences in the mineral composition of different types. The highest primary mineral content is 94.6% and the lowest 41%; the secondary mineral content is the highest 59% and the lowest is 5.4; (2) The special surface area of different types of soft rock is quite different, and the special surface area is up to 17.14 m 2 g −1 , the lowest is 3.12 m 2 g −1 , and the average content is 9.98 m 2 g −1 . The cation exchange capacity is up to 7.25 cmol (+) /kg, and the lowest is 3.36 cmol (+) /kg; (3) The fitting formula of secondary minerals and specific decomposition of arsenic sandstone, aeolian sandy soil and composite soil is y = 2.423e 0.0871x , and the correlation coefficient R 2 = 0.8258. The fitting formula for the exchange capacity of secondary minerals and cations is y = 3.105e 0.0348x , and the correlation coefficient R 2 = 0.9235.