Storm water pollution modelling: first-order atmospheric dustfall processes that affect runoff quality

1986 ◽  
Vol 13 (1) ◽  
pp. 95-105 ◽  
Author(s):  
Boregowda Shivalingaiah ◽  
William James
Keyword(s):  
Water Quality ◽  
Meteorological Conditions ◽  
Storm Water ◽  
Water Runoff ◽  
Linear Regression Models ◽  
Atmospheric Fallout ◽  
Runoff Water ◽  
Industrial Areas ◽  
Storm Water Management Model ◽  
Storm Water Runoff

The buildup of surface pollutants has been shown to be a controlling factor in the quality of storm water runoff. In industrial areas particularly, atmospheric fallout is an important component of surface pollutant loadings. Storm water runoff models presently in use do not consider the physics of atmospheric dustfall.Industries, vehicle exhausts, and blowing of wind over unprotected surfaces all introduce pollutants to the atmosphere. Redistribution of this material on the ground depends on local topography and prevailing meteorological conditions. The location of the industrial areas; the direction, velocity, and duration of wind; total precipitation; and source concentrations are important parameters in the prediction of atmospheric dustfall. The paper describes the physical processes of atmospheric fallout that are relevant to water quality modelling. A new model, called ATMDST, to predict dustfall on individual subcatchments in a metropolitan area using prevailing meteorological conditions is developed based on statistical methods. Results from average, one-variable and two-variable linear regression models were statistically compared with observed data. Finally, ATMDST is interfaced with the storm water management model version 3 (SWMM3) to compute runoff water quality. The model is applied to Hamilton, Ontario. Key words: atmospheric dustfall, air pollution, urban runoff, water quality, pollutant buildup, environmental modelling.

Does upward seepage of river water and storm water runoff determine water quality of urban drainage systems in lowland areas? A case study for the Rhine-Meuse delta

2009 ◽  
Vol 23 (21) ◽  
pp. 3110-3120 ◽  
Author(s):  
Kim Vermonden ◽  
Marion A. A. Hermus ◽  
Marije van Weperen ◽  
Rob S. E. W. Leuven ◽  
Gerard van der Velde ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Storm Water ◽  
Water Runoff ◽  
Urban Drainage ◽  
Drainage Systems ◽  
Storm Water Runoff ◽  
Urban Drainage Systems

scholarly journals Selection of monitoring locations for storm water quality assessment

2014 ◽  
Vol 69 (12) ◽  
pp. 2397-2406
Author(s):  
J. G. Langeveld ◽  
F. Boogaard ◽  
H. J. Liefting ◽  
R. P. S. Schilperoort ◽  
A. Hof ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Storm Water ◽  
Water Runoff ◽  
Monitoring Campaign ◽  
Water Characteristics ◽  
Storm Water Runoff ◽  
Receiving Waters ◽  
Selection Of

Storm water runoff is a major contributor to the pollution of receiving waters. Storm water characteristics may vary significantly between locations and events. Hence, for each given location, this necessitates a well-designed monitoring campaign prior to selection of an appropriate storm water management strategy. The challenge for the design of a monitoring campaign with a given budget is to balance detailed monitoring at a limited number of locations versus less detailed monitoring at a large number of locations. This paper proposes a methodology for the selection of monitoring locations for storm water quality monitoring, based on (pre-)screening, a quick scan monitoring campaign, and final selection of locations and design of the monitoring setup. The main advantage of the method is the ability to prevent the selection of monitoring locations that turn out to be inappropriate. In addition, in this study, the quick scan resulted in a first useful dataset on storm water quality and a strong indication of illicit connections at one of the monitoring locations.

scholarly journals Assessment of Storm Water Quality in Grass Swale by Using Sand Filter Media: a Case Study at UTHM Campus

2018 ◽  
Vol 7 (4.30) ◽  
pp. 176
Author(s):  
Mohd. Azlan B. Mohd Yusoff ◽  
Adel Al- Gheethi ◽  
Daniel Aizat B. Dzain
Keyword(s):  
Water Quality ◽  
Natural Habitat ◽  
Drainage System ◽  
Quality Parameters ◽  
Storm Water ◽  
Water Runoff ◽  
Sand Column ◽  
Storm Water Runoff

Urbanization in Malaysia has contributed to the increased of volume runoff to the drainage system. SUDS (Sustainable Urban Drainage System) / MSMA (Manual Saliran Mesra Alam) has been implement in Malaysia within several of components. Hence, swale is one of the designed and suggested by SUDS or MSMA in order to control the quantity and quality storm water runoff. The present study aimed to determine the quality of storm water runoff in swale and to analyse storm water runoff treatment using sand column as a part of filtration process.  Water quality parameters tested included COD, BOD5, DO and TSS. The samples was test with sand column on D30, D60, D90 and DMIX. The results revealed that sand column improved the water quality by 4% to 80%. In conclusion, the sand column can be used to improve the storm water quality and can enhance the natural habitat.

Research on the characteristics of the water quality of rainwater runoff from green roofs

2014 ◽  
Vol 70 (7) ◽  
pp. 1205-1210 ◽  
Author(s):  
Kena Gong ◽  
Qing Wu ◽  
Sen Peng ◽  
Xinhua Zhao ◽  
Xiaochen Wang
Keyword(s):  
Water Quality ◽  
Retention Rate ◽  
Oxygen Demand ◽  
Green Roofs ◽  
Water Runoff ◽  
Runoff Water ◽  
Retention Capacity ◽  
Storm Water Runoff ◽  
Quality Retention ◽  
Rainwater Runoff

This paper investigates the water quality characteristics of rainwater runoff from dual-substrate-layer green roofs in Tianjin, China. The data were collected from four different assemblies and three types of simulated rains. The storm-water runoff quality was monitored from early June through late October 2012 and from July through late November 2013. The results revealed that the runoff water quality would be improved to some extent with the ageing of green roofs and that the quality retention rate better reflected the pollutant retention capacity of the green roof than the pollutant concentration in the runoff water. The investigation clearly demonstrated that green roofs also effectively reduced the chemical oxygen demand and turbidity value and neutralised acid rain to stabilise the pH of the runoff.

scholarly journals Comparison of urban residential storm water runoff quality in Bucharest, Romania with international data

2019 ◽  
Vol 85 ◽  
pp. 07019 ◽  
Author(s):  
Dan Rădulescu ◽  
Gabriel Racoviţeanu ◽  
Xavier Swamikannu
Keyword(s):  
Water Quality ◽  
Urban Areas ◽  
Catchment Area ◽  
Storm Water ◽  
Water Runoff ◽  
Residential Areas ◽  
Grab Sampling ◽  
Storm Water Runoff ◽  
The World ◽  
Runoff Quality

Diffuse pollution is a major source of contaminants to surface waters in urban areas. Land use activities and the degree of imperviousness have a strong influence on the pollutant loadings and the pattern and distribution of the pollutograph. Uncontrolled discharges of contaminated urban storm water runoff contribute to impairments of water quality in receiving waters. In this study, grab samples of storm water runoff were collected from a small high-density residential catchment area in Bucharest. The pollutant concentrations were analysed for several water quality physical and chemical parameters including pH, conductivity, oil and grease, nutrients, pathogen indicator bacteria and some heavy metals. The storm events were monitored through grab sampling. The sample results for this representative residential catchment area in Bucharest were then compared with data reported from other regions of the world. The analysis demonstrates that the characteristics of the urban runoff quality from residential areas in Bucharest were comparable with data obtained from other areas in the world.

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