Comparison of the efficiency of best stormwater management practices in urban drainage systems

1999 ◽  
Vol 39 (9) ◽  
pp. 269-276 ◽  
Author(s):  
R. Mehler ◽  
M. W. Ostrowski

Increasingly extended and alternative methods for urban stormwater management have been discussed in Germany and elsewhere. Without question an economically and ecologically sound combination of central and decentral measures will be a concept of the future. Yet, at present the introduction of approaches other than traditional combined sewer systems is restricted due to missing planning tools and technologies. Adding a number of frequently used Best Stormwater Management Practices (BSMP's) has widely extended the applicability of an existing stormwater water balance and pollution load model.

2021 ◽  
Author(s):  
Zakia R. Alam

Stormwater management practices can mitigate the undesirable impacts of urbanization. Urban drainage models can play a significant role in comprehensive evaluation of stormwater management systems. This thesis presents a methodology for the development of a detailed distributed urban drainage model using Geographic Information System (GIS) databases. The approach incorporates delineation of spatial variables (subcatchment outlets, width, slope etc.) and other model inputs from digital data and assigns them to the GIS database by executing developed Python 2.7 scripts. The proposed methodology is applied on a case study area in Mississauga, Ontario. Observed rainfall data are used as model input and simulation is performed using PCSWMM 5.1.1279. The model performance is evaluated by comparing the uncalibrated simulated discharge with the observed one. The simulated hydrographs are of good fit with the observed hydrographs. The evaluation criteria justify the use of extracted and assumed parameters and the reliability of the developed methodology.


2021 ◽  
Author(s):  
Zakia R. Alam

Stormwater management practices can mitigate the undesirable impacts of urbanization. Urban drainage models can play a significant role in comprehensive evaluation of stormwater management systems. This thesis presents a methodology for the development of a detailed distributed urban drainage model using Geographic Information System (GIS) databases. The approach incorporates delineation of spatial variables (subcatchment outlets, width, slope etc.) and other model inputs from digital data and assigns them to the GIS database by executing developed Python 2.7 scripts. The proposed methodology is applied on a case study area in Mississauga, Ontario. Observed rainfall data are used as model input and simulation is performed using PCSWMM 5.1.1279. The model performance is evaluated by comparing the uncalibrated simulated discharge with the observed one. The simulated hydrographs are of good fit with the observed hydrographs. The evaluation criteria justify the use of extracted and assumed parameters and the reliability of the developed methodology.


1995 ◽  
Vol 32 (2) ◽  
pp. 95-103
Author(s):  
José A. Revilla ◽  
Kalin N. Koev ◽  
Rafael Díaz ◽  
César Álvarez ◽  
Antonio Roldán

One factor in determining the transport capacity of coastal interceptors in Combined Sewer Systems (CSS) is the reduction of Dissolved Oxygen (DO) in coastal waters originating from the overflows. The study of the evolution of DO in coastal zones is complex. The high computational cost of using mathematical models discriminates against the required probabilistic analysis being undertaken. Alternative methods, based on such mathematical modelling, employed in a limited number of cases, are therefore needed. In this paper two alternative methods are presented for the study of oxygen deficit resulting from overflows of CSS. In the first, statistical analyses focus on the causes of the deficit (the volume discharged). The second concentrates on the effects (the concentrations of oxygen in the sea). Both methods have been applied in a study of the coastal interceptor at Pasajes Estuary (Guipúzcoa, Spain) with similar results.


2017 ◽  
Vol 47 (1) ◽  
pp. 32-65 ◽  
Author(s):  
Dong Won Shin ◽  
Laura McCann

This study explores factors affecting adoption of two stormwater management practices, rain gardens and rain barrels. Mail survey data from Columbia, Missouri indicate adoption rates of 3.12 percent (rain gardens) and 7.47 percent (rain barrels). This unique dataset enables us to distinguish among nonadopters using knowledge levels, and to investigate the effect of practice-specific barriers. Clustered multinomial logistic regressions reveal serious gardeners are more likely to adopt both practices. Specific barriers differ by practice and type of nonadopter. Adding practice-specific barriers increased pseudo R2 values from 0.12 to 0.22 for rain gardens and from 0.13 to 0.26 for rain barrels.


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