scholarly journals Modelling of Highway Runoff Quantity and Quality

10.14311/236 ◽  
2001 ◽  
Vol 41 (3) ◽  
Author(s):  
Ashraf El-Shahat Elsayed ◽  
A. Grünwald ◽  
M. Synáčková ◽  
M. Slavíček
Keyword(s):  
Suspended Solids ◽  
Management Model ◽  
Distributed Model ◽  
Data Sets ◽  
First Flush ◽  
Runoff Simulation ◽  
Highway Runoff ◽  
Simulation Process ◽  
Spatially Distributed ◽  
Using Data

The stormwater Management Model (SWMM) is a well-known stormwater runoff-simulation model. It is a deterministic, spatially distributed model for calculation of runoff quantity and quality. The aim of this study was to predict highway runoff characteristics using data from different highway catchments. The SWMM was used in the simulation process and the predicted data was verified using monitoring data collected from Prague-Plzeň highway for both total suspended solids and organic compounds. The analyzed data indicated that the simulated TSS, BOD5 concentrations lie within the range of the measured data and both data sets are considered highly polluted with respect to the specification limits. The analyzed data also show that the first flush of runoff is the most polluted, and is responsible for contamination of retention and/or received waters.

Dynamic behavior of suspended pollutants and particle size distribution in highway runoff

2002 ◽  
Vol 46 (11-12) ◽  
pp. 413-418 ◽  
Author(s):  
H. Furumai ◽  
H. Balmer ◽  
M. Boller
Keyword(s):  
Heavy Metals ◽  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Suspended Solids ◽  
Dynamic Change ◽  
First Flush ◽  
Highway Runoff ◽  
Runoff Rate ◽  
Highway Drainage

Continuous runoff quality monitoring was conducted for one month at urban highway drainage with an area of 8.4 ha. Dynamic change of suspended solids and heavy metal concentrations were investigated during first flush periods, taking the particle size distribution into consideration. Except for Pb, the concentrations of TSS and heavy metals in runoff were within the range of the EMC reported in recent highway runoff research. Particle-bound heavy metals (Zn, Pb, and Cu) accounted for more significant pollutant loads than soluble fractions. Their content decreased with increasing total SS concentration in runoff samples. The results of particle size distribution (PSD) analysis of runoff samples indicate that high TSS concentration samples contained coarser particles. Based on the PSD results, a stepwise wash-off phenomenon of TSS under varying runoff rate conditions was explained by the different washoff behavior of fine (< 20 mm) and coarser particles.

Uncertainties of spectral in situ measurements in wastewater using different calibration approaches

2006 ◽  
Vol 53 (12) ◽  
pp. 187-197 ◽  
Author(s):  
L. Rieger ◽  
G. Langergraber ◽  
H. Siegrist
Keyword(s):  
Suspended Solids ◽  
Wastewater Treatment Plants ◽  
Total Suspended Solids ◽  
Data Sets ◽  
Global Calibration ◽  
Nitrite Nitrogen ◽  
Calibration Methods ◽  
Using Data ◽  
Nitrate And Nitrite

Three calibration methods were applied to UV/VIS spectra recorded in the influent of six wastewater treatment plants (WWTPs) to measure total COD (CODtot), filtered COD (CODfil), nitrate and nitrite nitrogen (NOx-N) and total suspended solids (TSS). It could be shown that a calibration of the sensor using data sets from four Swiss WWTPs leads to an improvement of the precision in comparison to the global calibration provided by the manufacturer. A calibration to the specific wastewater matrix always improves the results and gives the highest accuracy. For CODtot a mean coefficient of variation CVx of 12.5% could be reached, whereas for NOx-N only weak results were achieved (average CVx=36%).

Characteristics of particle-associated PAHs in a first flush of a highway runoff

2006 ◽  
Vol 53 (2) ◽  
pp. 245-251 ◽  
Author(s):  
R.K. Aryal ◽  
H. Furumai ◽  
F. Nakajima ◽  
M. Boller
Keyword(s):  
Suspended Solids ◽  
Significant Contribution ◽  
Fine Fraction ◽  
Weighted Average ◽  
Coarse Fraction ◽  
First Flush ◽  
Highway Runoff ◽  
Rainfall Events ◽  
Runoff Event ◽  
Runoff Events

Runoff monitoring of six rainfall events was carried out in a highway, Winterthur, Switzerland focusing on first flush (runoff volume up to 2.88 mm). Six runoff events were used to investigate the characteristics of particle-associated PAHs in first flush. The fine fraction (<45 μm) had a relatively higher contribution than the coarse fraction. A significant contribution of the coarse fraction was observed at some periods when the runoff flow rapidly increased. Fluctuation of PAH content during a runoff event was significant in the coarse fraction and, in contrast, the PAH content in the fine fraction was less fluctuating. The weighted average PAH content in each event ranged from 17 to 62 μg/g in total SS, from 23 to 54 μg/g in the fine fraction and from 16 to 84 μg/g in the coarse fraction. The loading of particle-associated PAHs from the first flush of highway runoff ranged from 0.06 to 0.22 g/ha in a total of 12 PAH species. Keywords First flush; highway runoff; PAH content; PAH profiles; suspended solids

Characterization of suspended solids and particle-bound heavy metals in a first flush of highway runoff

2008 ◽  
Vol 9 (11) ◽  
pp. 1567-1575 ◽  
Author(s):  
Fa-hui Nie ◽  
Tian Li ◽  
Hai-feng Yao ◽  
Man Feng ◽  
Guang-kai Zhang
Keyword(s):  
Heavy Metals ◽  
Suspended Solids ◽  
First Flush ◽  
Highway Runoff

Assessment of Regional Explosion Discriminants Using Data Sets of Unparalleled Spatial Sampling

2012 ◽  
Author(s):  
Kate C. Miller ◽  
Lindsay L. Worthington ◽  
Steven Harder ◽  
Scott Phillips ◽  
Hans Hartse ◽  
...  
Keyword(s):  
Spatial Sampling ◽  
Data Sets ◽  
Using Data

scholarly journals Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland

2021 ◽  
Vol 13 (13) ◽  
pp. 2433
Author(s):  
Shu Yang ◽  
Fengchao Peng ◽  
Sibylle von Löwis ◽  
Guðrún Nína Petersen ◽  
David Christian Finger
Keyword(s):  
Machine Learning ◽  
Weather Conditions ◽  
Dust Storms ◽  
Machine Learning Algorithms ◽  
Lidar Data ◽  
Data Sets ◽  
Doppler Lidar ◽  
Lidar Measurements ◽  
Using Data ◽  
Filter Noise

Doppler lidars are used worldwide for wind monitoring and recently also for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars using data from Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to filter noise signals and classify Doppler lidar observations into different classes, including clouds, aerosols and rain. The results reveal a high accuracy for noise identification and aerosols and clouds classification. However, precipitation detection is underestimated. The method was tested on data sets from two instruments during different weather conditions, including three dust storms during the summer of 2019. Our results reveal that this method can provide an efficient, accurate and real-time classification of lidar measurements. Accordingly, we conclude that machine learning can open new opportunities for lidar data end-users, such as aviation safety operators, to monitor dust in the vicinity of airports.

POSTPARTUM AMENORRHOEA IN RURAL EASTERN UTTAR PRADESH, INDIA

1998 ◽  
Vol 30 (2) ◽  
pp. 227-243
Author(s):  
K. N. S. YADAVA ◽  
S. K. JAIN
Keyword(s):  
Higher Education ◽  
Uttar Pradesh ◽  
Current Status Data ◽  
North India ◽  
Current Status ◽  
Data Sets ◽  
Survival Status ◽  
The Mean ◽  
The Difference ◽  
Using Data

This paper calculates the mean duration of the postpartum amenorrhoea (PPA) and examines its demographic, and socioeconomic correlates in rural north India, using data collected through 'retrospective' (last but one child) as well as 'current status' (last child) reporting of the duration of PPA.The mean duration of PPA was higher in the current status than in the retrospective data;n the difference being statistically significant. However, for the same mothers who gave PPA information in both the data sets, the difference in mean duration of PPA was not statistically significant. The correlates were identical in both the data sets. The current status data were more complete in terms of the coverage, and perhaps less distorted by reporting errors caused by recall lapse.A positive relationship of the mean duration of PPA was found with longer breast-feeding, higher parity and age of mother at the birth of the child, and the survival status of the child. An inverse relationship was found with higher education of a woman, higher education of her husband and higher socioeconomic status of her household, these variables possibly acting as proxies for women's better nutritional status.

A spatially distributed model of pesticide movement in Dutch macroporous soils

2012 ◽  
Vol 470-471 ◽  
pp. 316-327 ◽  
Author(s):  
A. Tiktak ◽  
R.F.A. Hendriks ◽  
J.J.T.I. Boesten ◽  
A.M.A. van der Linden
Keyword(s):  
Distributed Model ◽  
Spatially Distributed

Models of the mechanical sensitivity and growth of otoliths in fish

2003 ◽  
Vol 13 (4-6) ◽  
pp. 189-203
Author(s):  
Alexander V. Kondrachuk
Keyword(s):  
Young’S Modulus ◽  
Young's Modulus ◽  
Oscillator Model ◽  
Distributed Model ◽  
Mechanical Sensitivity ◽  
Otolith Growth ◽  
Altered Gravity ◽  
Gel Layer ◽  
Longitudinal Size ◽  
Spatially Distributed

It has been suggested that, in the fish, the change of otolith mass during development under altered gravity conditions [1,2,3,4,5,6,24,25,36,37] and the growth of otoliths in normal conditions [22,23,26], are determined by feedback between otolith dynamics and the processes that regulate otolith growth. The hypothesis originates from an oscillator model of the otolith [30] in which otolith mass is one of the parameters. However, the validity of this hypothesis is not obvious and has not been experimentally verified. We tested this hypothesis by comparing the oscillator model with a simplified spatially distributed model of the otolith. It was shown that in the case of a spatially distributed fixation of the otolith plate (otoconial layer) to the macular surface, the mechanical sensitivity of the otolith does not depend on the total otolith mass nor on its longitudinal size. It is determined by otolith thickness, the Young's modulus and viscosity of gel layer of the growing otolith. These parameters may change in order to maintain otolith sensitivity under conditions (such as growth or altered gravity) that change the dynamics of otolith movement.

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