Characterization Index for Vacuum Residua and Their Subfractions

1999 ◽  
Vol 13 (4) ◽  
pp. 871-876 ◽  
Author(s):  
Tie-Pan Shi ◽  
Zhi-Ming Xu ◽  
Min Cheng ◽  
Yun-Xiang Hu ◽  
Ren-An Wang
Keyword(s):  
Characterization Index

scholarly journals A Site Characterization Index for Continuous Power-Quality Monitoring based on Higher-Order Statistics

2020 ◽  
Vol 18 ◽  
pp. 255-260
Author(s):  
Olivia Florencias-Oliveros ◽  
◽  
Jose María Sierra-Fernández ◽  
Juan José González- de la Rosa ◽  
Agustín Agüera-Pérez ◽  
...  
Keyword(s):  
Order Statistics ◽  
Power Quality ◽  
Site Characterization ◽  
Higher Order ◽  
Quality Monitoring ◽  
Higher Order Statistics ◽  
Power Quality Monitoring ◽  
Continuous Power ◽  
A Site ◽  
Characterization Index

scholarly journals Topography significantly influencing low flows in snow-dominated watersheds

2017 ◽  
Author(s):  
Qiang Li ◽  
Xiaohua Wei ◽  
Xin Yang ◽  
Krysta Giles-Hansen ◽  
Mingfang Zhang ◽  
...  
Keyword(s):  
Regression Models ◽  
Low Flow ◽  
Mean Flow ◽  
Slope Length ◽  
Low Flows ◽  
Slope Length Factor ◽  
High Flows ◽  
Flow Variables ◽  
Characterization Index

Abstract. Watershed topography plays an important role in determining the spatial heterogeneity of ecological, geomorphological, and hydrological processes. Few studies have quantified the role of topography on various flow variables. In this study, 28 watersheds with snow-dominated hydrological regimes were selected with daily flow records from 1989 to 1996. The watersheds are located in the Southern Interior of British Columbia, Canada and range in size from 2.6 to 1,780 km2. For each watershed, 22 topographic indices (TIs) were derived, including those commonly used in hydrology and other environmental fields. Flow variables include annual mean flow (Qmean), Q10%, Q25%, Q50%, Q75%, Q90%, and annual minimum flow (Qmin), where Qx% is defined as flows that at the percentage (x) occurred in any given year. Factor analysis (FA) was first adopted to exclude some redundant or repetitive TIs. Then, stepwise regression models were employed to quantify the relative contributions of TIs to each flow variable in each year. Our results show that topography plays a more important role in low flows than high flows. However, the effects of TIs on flow variables are not consistent. Our analysis also determines five significant TIs including perimeter, surface area, openness, terrain characterization index, and slope length factor, which can be used to compare watersheds when low flow assessments are conducted, especially in snow-dominated regions.

scholarly journals Gene Characterization Index: Assessing the Depth of Gene Annotation

PLoS ONE ◽  
2008 ◽  
Vol 3 (1) ◽  
pp. e1440 ◽  
Author(s):  
Danielle Kemmer ◽  
Raf M. Podowski ◽  
Dimas Yusuf ◽  
Jochen Brumm ◽  
Warren Cheung ◽  
...  
Keyword(s):  
Gene Annotation ◽  
Gene Characterization ◽  
Characterization Index

scholarly journals Time-Domain Analysis of Tamper Displacement during Dynamic Compaction Based on Automatic Control

Coatings ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1092
Author(s):  
Xi Li ◽  
Hui Yang ◽  
Jingyu Zhang ◽  
Guoping Qian ◽  
Huanan Yu ◽  
...  
Keyword(s):  
Time Domain ◽  
Large Scale ◽  
Time Domain Analysis ◽  
Dynamic Compaction ◽  
Crater Depth ◽  
Multiple Impacts ◽  
Controlling Parameter ◽  
Proposed Model ◽  
The Time Domain ◽  
Characterization Index

Crater depth is a vital issue in dynamic compaction (DC) because it is a controlling parameter in DC and a characterization index of soil properties. A continuous mathematical model capturing the time-domain process of tamper displacement is presented in this paper. The model is simple and the parameters involved are easy to obtain. It was found that the accumulated crater depth increases but its increment in the crater depth decreases with multiple impacts. Three groups of large-scale DC tests with 10,000 kN∙m were conducted to evaluate the performance of the proposed model. The results showed that the proposed model captures the typical trends in the tamper displacement of single and multiple impacts. In addition, a concept of the crater depth ratio is proposed based on the proposed model, and the concept is used to evaluate the efficiency of DC and to predict the optimum tamping number of DCs.

scholarly journals Topography significantly influencing low flows in snow-dominated watersheds

2018 ◽  
Vol 22 (3) ◽  
pp. 1947-1956 ◽  
Author(s):  
Qiang Li ◽  
Xiaohua Wei ◽  
Xin Yang ◽  
Krysta Giles-Hansen ◽  
Mingfang Zhang ◽  
...  
Keyword(s):  
Low Flow ◽  
Linear Regression Models ◽  
Mean Flow ◽  
Slope Length ◽  
Low Flows ◽  
Slope Length Factor ◽  
High Flows ◽  
Flow Variables ◽  
Characterization Index

Abstract. Watershed topography plays an important role in determining the spatial heterogeneity of ecological, geomorphological, and hydrological processes. Few studies have quantified the role of topography in various flow variables. In this study, 28 watersheds with snow-dominated hydrological regimes were selected with daily flow records from 1989 to 1996. These watersheds are located in the Southern Interior of British Columbia, Canada, and range in size from 2.6 to 1780 km2. For each watershed, 22 topographic indices (TIs) were derived, including those commonly used in hydrology and other environmental fields. Flow variables include annual mean flow (Qmean), Q10 %, Q25 %, Q50 %, Q75 %, Q90 %, and annual minimum flow (Qmin), where Qx % is defined as the daily flow that occurred each year at a given percentage (x). Factor analysis (FA) was first adopted to exclude some redundant or repetitive TIs. Then, multiple linear regression models were employed to quantify the relative contributions of TIs to each flow variable in each year. Our results show that topography plays a more important role in low flows (flow magnitudes ≤ Q75 %) than high flows. However, the effects of TIs on different flow magnitudes are not consistent. Our analysis also determined five significant TIs: perimeter, slope length factor, surface area, openness, and terrain characterization index. These can be used to compare watersheds when low flow assessments are conducted, specifically in snow-dominated regions with the watershed size less than several thousand square kilometres.

Sign in / Sign up

Export Citation Format

Share Document