oily soil
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2021 ◽  
Vol 666 (4) ◽  
pp. 042025
Author(s):  
D O Ignatkina ◽  
A A Voytyuk ◽  
I M Shevtsova
Keyword(s):  

2019 ◽  
Vol 11 (29) ◽  
pp. 3657-3664 ◽  
Author(s):  
Yu Ding ◽  
Guiyu Xia ◽  
Huiwen Ji ◽  
Xiong Xiong

A rapid detection method for heavy metals in oily soil is needed to provide accurate data support for in situ soil pollution assessment and restoration.


2018 ◽  
Vol 89 (11) ◽  
pp. 2236-2246 ◽  
Author(s):  
Masaru Oya

The probability density functional method is one of the washing force analysis methods that combines the classical kinetic analysis of detergency method and risk calculation method using probability density function. This paper discusses the relation between soil removal mechanisms and the value of σ rl, which is one of the two parameters used in the probability density functional method. Four repetitive washing tests were conducted using test fabrics soiled with iron(III) oxide, carbon black, four kinds of water-soluble dyes and three kinds of oily dyes, and the removal (%) was analyzed with the probability density functional method. The results show that the range of σ rl varied with removal mechanisms; mechanical removal of particle soil (0.01–0.6), dissolution into water of water-soluble soil (0.3–1.4), solubilization of oily soil into surfactant micelle (1.0–2.0) and emulsification or dispersion of oily soil (≥3.0). This tendency can be used for estimating the removal mechanism of any washing system where the soil type is unknown.


2017 ◽  
Vol 20 (4) ◽  
pp. 815-830 ◽  
Author(s):  
Jarussri Chanwattanakit ◽  
John F. Scamehorn ◽  
David A. Sabatini ◽  
Sumaeth Chavadej

2016 ◽  
Vol 9 (3) ◽  
pp. 399-405 ◽  
Author(s):  
Kh. Sadighbayan ◽  
M. Mazaheri Assadi ◽  
A. Farazmand ◽  
A. R. Monadi ◽  
N. Aliasgharzad
Keyword(s):  

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