Reliability analysis for evaluation of factors affecting pollutant load reduction in urban stormwater BMP systems

2015 ◽  
Vol 74 ◽  
pp. 130-139 ◽  
Author(s):  
Daeryong Park ◽  
Hyeongsik Kang ◽  
Sang Hwa Jung ◽  
Larry A. Roesner
2018 ◽  
Vol 20 (12) ◽  
pp. 1697-1707 ◽  
Author(s):  
Xiaoshu Hou ◽  
Lei Chen ◽  
Guoyuan Wei ◽  
Yongwei Gong ◽  
Zhenyao Shen

The discharge characteristics of faecal coliform are very different from those of physico-chemical pollutants. The antecedent dry period factors count a great deal for faecal coliform contamination in urban stormwater.


2018 ◽  
Vol 49 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Saurav Dixit

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to analyse the factors affecting on-site construction productivity in Indian construction industry. The tools used for the analysis are reliability analysis to check the consistency of the data, Pearson correlation analysis to mathematically validate the factor analysis, and linear regression analysis to propose a framework of factors affecting construction productivity. The findings of the reliability analysis concludes that the all the factors having a value of more than 0.67, which is considered to be good for the study, and the findings of the study conclude that the most significant 3 attributes grouped in linear regression analysis change in scope (R2), revision in drawings (R15), and response to change orders (R3) having maximum impact over the construction productivity. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Critical Analysis of Factors Affecting the on-site Productivity in Indian Construction Industry, (July), 38–45. https://doi.org/10.3311/CCC2018-006"


2021 ◽  
Vol 11 (1) ◽  
pp. 630-638
Author(s):  
Paweł Dziedziak ◽  
Tomasz Szczepański ◽  
Andrzej Niewczas ◽  
Marcin Ślęzak

Abstract This article presents the results of the analysis of data from 500 vehicle control stations concerning periodic tests of passenger cars in the number of 2 million. Based on the collected data, a database of vehicles has been prepared to cover technical information, such as model, mass, engine capacity and maximum power. This information has been summarized with the exploitation data such as age of the car, distance traveled, the area in which the vehicle was most frequently used, the use for business or private purposes, and intensity of operation that was measured by the ratio of kilometers traveled to the age of the car. This information constituted a set of factors affecting the reliability of the car. Information about reliability itself was the results of control tests, including occurring defects and their significance. The occurring defects were codified, which allowed their allocation to particular categories describing car systems, such as steering, braking and driving. While the significance of the fault resulted from the test result: positive (minor defects) or negative (important defects). This article presents a factor and the correlation analysis of the database, which assesses which construction and operating factors have a significant impact on damages occurring in individual car systems.


ICSI 2014 ◽  
2014 ◽  
Author(s):  
Adel Hagekhalil ◽  
Shahram Kharaghani ◽  
Wing Tam ◽  
Richard Haimann ◽  
Ken Susilo

Water ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 944 ◽  
Author(s):  
Chao Guo ◽  
Jiake Li ◽  
Huaien Li ◽  
Bei Zhang ◽  
Menghua Ma ◽  
...  

Rain gardens have recently been studied as important low-impact development (LID) facilities that play a critical role in runoff volume reduction and pollutant purification. Approximately 16–40 rainfall events were monitored from March 2011 to October 2017 in order to determine the running effect of three rain gardens with respect to runoff volume reduction and pollutant purification. In particular, running fate analysis of rain gardens is the key focus in this study. Combined analyses revealed three key points. Firstly, performance assessment demonstrated that rain gardens effectively cut inflow volumes through the filter media; when the confluence area ratio was 6:1–20:1 (confluence ratio = roof area or road/garden area) and the rainfall was approximately 2.8–39.9 mm, the runoff volume reduction rate ranged from 9.8% to 100.0%. However, the average annual runoff reduction rate presented an initially increasing and then gradually decreasing trend with monitoring time. Secondly, according to water quality data in 54 rainfall events, the annual average concentration removal rate of NH4+-N was relatively good, but generally decreased with monitoring time. The concentration removal rate of NO3−-N and total phosphorus (TP) is unstable; however, the removal rate of total suspended solids (TSS) is better than that of total nitrogen (TN). Combined with runoff reduction, the pollutant load reduction by rain gardens is greater than 50%, although this decreases with increasing monitoring time. Thirdly, through the study of 7-year running effect on runoff reduction and pollutant purification, the “three-stage purification (TSP) concept” (periods of purification growth, stability, and attenuation) with respect to pollutant load reduction processes was finally proposed, and a curve chart was drawn for pollutant load reduction and rain garden operating fate (the “P–F” curve chart).


Chemosphere ◽  
2004 ◽  
Vol 55 (4) ◽  
pp. 567-576 ◽  
Author(s):  
D. Pastor ◽  
C. Sanpera ◽  
J. González-Solı́s ◽  
X. Ruiz ◽  
J. Albaigés

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