An Evaluation Method for the Volume Change Characteristics of Compacted Soil

2006 ◽  
Author(s):  
M. Honda ◽  
A. Iizuka ◽  
S. Ohno ◽  
K. Kawai ◽  
W. Wang
Keyword(s):  
Volume Change ◽  
Evaluation Method ◽  
Compacted Soil ◽  
Change Characteristics

Stress-Strain and Volume Change Characteristics of an Assemblage of Polymer Pellets

1998 ◽  
Vol 13 (4) ◽  
pp. 347-357 ◽  
Author(s):  
D. Penumadu ◽  
J. A. Yamamuro ◽  
A. E. Abrantes ◽  
G. A. Campbell
Keyword(s):  
Volume Change ◽  
Stress Strain ◽  
Change Characteristics

A Diffused Air Volume Indicator for Unsaturated Soils

1975 ◽  
Vol 12 (4) ◽  
pp. 533-539 ◽  
Author(s):  
D. G. Fredlund
Keyword(s):  
Correction Factor ◽  
Volume Change ◽  
Unsaturated Soils ◽  
Effective Means ◽  
Computational Procedure ◽  
Technical Note ◽  
Water Volume ◽  
Volume Weight ◽  
Air Volume ◽  
Change Characteristics

The diffusion of air through saturated high air entry discs presents a serious problem in the testing of unsaturated soils. When determining either the strength (drained) or volume change characteristics of unsaturated soils, a technique must be available to measure the amount of diffused air in order for the appropriate corrections to be applied to the volume–weight relationships.The described diffused air volume indicator is a simple but effective means of measuring the quantity of diffused air. This technical note explains its construction and procedure of operation. Also outlined is the computational procedure for the correction factor that must be applied to the water volume change measurements. Numerous tests on the indicator show a reliability in the order of ±0.2 cc over a period of 2.5 weeks.

Ko-Volume Change Characteristics of an Unsaturated Soil with Respect to Various Loading Paths

2003 ◽  
Vol 26 (1) ◽  
pp. 10434 ◽  
Author(s):  
L David Suits ◽  
TC Sheahan ◽  
H Rahardjo ◽  
DG Fredlund
Keyword(s):  
Volume Change ◽  
Unsaturated Soil ◽  
Loading Paths ◽  
Change Characteristics

scholarly journals One-Dimensional Volume Change Characteristics of Sands Under Very Low Confining Stresses

1975 ◽  
Vol 15 (3) ◽  
pp. 51-60 ◽  
Author(s):  
Yoshiaki Yoshimi ◽  
Fumio Kuwabara ◽  
Kohji Tokimatsu
Keyword(s):  
Volume Change ◽  
One Dimensional ◽  
Change Characteristics

scholarly journals Volume Change Characteristics of Undisturbed Fibrous Peat

1985 ◽  
Vol 25 (2) ◽  
pp. 119-134 ◽  
Author(s):  
Hareyuki Yamaguchi ◽  
Yoshinori Ohira ◽  
Keiji Kogure
Keyword(s):  
Volume Change ◽  
Fibrous Peat ◽  
Change Characteristics

scholarly journals ANALYSIS OF AQI CHANGE CHARACTERISTICS AND CORRELATION WITH PM2.5 AND PM10 IN BEIJING-TIANJIN-HEBEI REGION

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1041-1048
Author(s):  
A. N. Wang ◽  
J. L. Jing ◽  
F. L. Luo ◽  
L. S. Liang
Keyword(s):  
Air Quality ◽  
Evaluation Method ◽  
Compliance Rate ◽  
Statistical Correlation ◽  
Southeastern Part ◽  
Change Characteristics ◽  
Variation Characteristics ◽  
Pm2.5 And Pm10 ◽  
Distribution Frequency

Abstract. The paper analyzed the variation characteristics of AQI and its correlation with PM2.5 and PM10 of in Beijing-Tianjin-Hebei region from July 2015 to July 2018 based on hours of pollutants in Beijing-Tianjin-Hebei region, using AQI calculation method and statistical correlation evaluation method. Results showed that:(1) The air quality compliance rate in Beijing-Tianjin-Hebei region was 67%, the average AQI was 97.6577, and the air quality was good. The distribution frequency of primary pollutants was PM2.5, followed by PM10, which accounts for 78.9% of the distribution frequency of the six major pollutants, indicated that PM2.5 and PM10 had a greater impact on the air quality of Beijing-Tianjin-Hebei. (2) The correlation between AQI and PM2.5 and PM10 was significantly positively correlated. R2 was 0.8225 and 0.7749, respectively, P < 0.01, indicated that both showed a greater impact on air quality. (3) AQI and PM2.5 and PM10 showed a gradual decrease trend at 9h–16h, ie 9h highest and 16h lowest. The AQI fluctuated between 94.2816 and 103.3562, indicated that the air quality at 9h–16h was good or slightly polluted. (4) The spatial distribution of AQI, PM2.5 and PM10 was characterized by low northwest and high southeast, and the southeastern part was gradually decreasing from 9h–16h. AQI was negatively correlated with elevation. The higher the elevation, the better the air quality, and the worse the air quality.

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