scholarly journals Quality of storm-water runoff, Mililani Town, Oahu, Hawaii, 1980-84

1985 ◽  
Keyword(s):  
Storm Water ◽  
Water Runoff ◽  
Storm Water Runoff

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 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.

Storm water pollution modelling: buildup of dust and dirt on surfaces subject to runoff

1985 ◽  
Vol 12 (4) ◽  
pp. 906-915 ◽  
Author(s):  
William James ◽  
Boregowda Shivalingaiah
Keyword(s):  
Water Pollution ◽  
Storm Water ◽  
Water Runoff ◽  
Vegetation Density ◽  
Storm Water Runoff ◽  
Mathematical Expressions ◽  
Biological Decomposition ◽  
Using Data ◽  
Further Development

Many runoff models are currently in use to predict both the quantity and quality of storm water runoff. In most models, the quality algorithms need further development to gain the confidence of model users. The writers have attempted to disaggregate the accumulation process and to develop improved algorithms for pollutant buildup. The factors and processes that affect buildup include atmospheric dustfall due to plumes of dust-laden air, wind effects, vehicles, intentional removals (e.g., street cleaning), special activities (such as construction and demolition), biological decomposition, and population-related activities (e.g., vegetation density, insecticides, herbicides, fertilizers, and lawn cutting). Mathematical expressions for each of these mechanisms are presented and utilized to develop algorithms in the RUNOFF module of the SWMM3 package.A separate multiregression model is used to generate atmospheric dustfall from meteorological information; this is input to the new program (NEWBLD) to calculate pollutant accumulation on individual subcatchments. NEWBLD is interfaced with the RUNOFF block of SWMM3. A sensitivity analysis is carried out using data for the Chedoke Creek catchment in Hamilton, Ontario. The modified version of the SWMM3 RUNOFF block developed herein by incorporating the new water quality algorithms is called CHGQUAL. It is applied to an urban catchment in Hamilton, Ontario. Key words: storm water models, dust and dirt buildup, storm water pollution, urban hydrology, air pollution.

Characterizing Physicochemical Quality of Storm-Water Runoff from an Urban Area in Calgary, Alberta

2010 ◽  
Vol 136 (11) ◽  
pp. 1206-1217 ◽  
Author(s):  
Jianxun He ◽  
Caterina Valeo ◽  
Angus Chu ◽  
Norman F. Neumann
Keyword(s):  
Urban Area ◽  
Storm Water ◽  
Water Runoff ◽  
Physicochemical Quality ◽  
Storm Water Runoff

Long-Term Simulation of Pollutant Loads in Treatment Plant Effluents and Combined Sewer Overflows

1990 ◽  
Vol 22 (10-11) ◽  
pp. 69-76 ◽  
Author(s):  
A. Durchschlag
Keyword(s):  
Waste Water Treatment ◽  
Treatment Plant ◽  
Storm Water ◽  
Water Runoff ◽  
Storage Tanks ◽  
Combined Sewer Overflows ◽  
Storm Water Runoff ◽  
Combined Sewer ◽  
Hydraulic Load ◽  
Water Tanks

As a result of urbanization, the pollutant discharges from sources such as treatment plant effluents and polluted stormwaters are responsible for an unacceptable water quality in the receiving waters.In particular, combined sewer system overflows may produce great damage due to a shock effect. To reduce these combined sewer overflow discharges, the most frequently used method is to build stormwater storage tanks. During storm water runoff, the hydraulic load of waste water treatment plants increases with additional retention storage. This might decrease the treatment efficiency and thereby decrease the benefit of stormwater storage tanks. The dynamic dependence between transport, storage and treatment is usually not taken into account. This dependence must be accounted for when planning treatment plants and calculating storage capacities in order to minimize the total pollution load to the receiving waters. A numerical model will be described that enables the BOD discharges to be continuously calculated. The pollutant transport process within the networks and the purification process within the treatment plants are simulated. The results of the simulation illustrate; a statistical balance of the efficiency of stormwater tanks with the treatment plant capacity and to optimize the volume of storm water tanks and the operation of combined sewer systems and treatment plants.

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