From single-objective to multiple-objective multiple-rainfall events automatic calibration of urban storm water runoff models using genetic algorithms

2006 ◽  
Vol 54 (6-7) ◽  
pp. 57-64 ◽  
Author(s):  
F. di Pierro ◽  
S.-T. Khu ◽  
D. Savić
Keyword(s):  
Performance Criteria ◽  
Storm Water ◽  
Water Runoff ◽  
Flow Measurements ◽  
Rainfall Events ◽  
Multi Objective ◽  
Storm Water Runoff ◽  
Conflicting Objectives ◽  
Single Objective

The calibration of storm water runoff models is a complex task. Early attempts focused on the choice of a performance criterion function that could capture all the facets of the problem into a single-objective framework. Subsequently, the awareness that a good calibration must necessarily take into account conflicting objectives led to the adoption of more sophisticated multi-objective approaches. Only recently, the focus has shifted towards effective ways of exploiting the mounting information provided by the availability of many sets of concurrent rainfall and flow measurements. This paper revisits through a case study the transition just elucidated: the calibration of a SWMM model applied to a catchment in Singapore is tackled through a single-objective, a multi-objective and a multi-objective multiple-event (MOME) paradigm respectively. A new approach to support the latter is presented herein. It consists in formulating the problem of model calibration as a multi-objective problem with m×r objective functions, where m and r are the number of performance criteria and rainfall events respectively, that must be optimized simultaneously. Results suggest that the new MOME framework performs significantly better than the others tested on the case study presented.

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.

scholarly journals A real-time control strategy for separation of highly polluted storm water based on UV–Vis online measurements – from theory to operation

2011 ◽  
Vol 63 (10) ◽  
pp. 2287-2293 ◽  
Author(s):  
H. Hoppe ◽  
S. Messmann ◽  
A. Giga ◽  
H. Gruening
Keyword(s):  
Real Time ◽  
Stream Water ◽  
Treatment Plant ◽  
Operating Conditions ◽  
Storm Water ◽  
Water Runoff ◽  
Real Time Control ◽  
Flow Measurements ◽  
Time Control ◽  
Storm Water Runoff

‘Classical’ real-time control (RTC) strategies in sewer systems are based on water level and flow measurements with the goal of activation of retention volume. The control system rule of ‘clean (storm water) runoff into the receiving water – polluted runoff into the treatment plant’ has been thwarted by rough operating conditions and lack of measurements. Due to the specific boundary conditions in the city of Wuppertal's separate sewer system (clean stream water is mixed with polluted storm water runoff) a more sophisticated – pollution-based – approach was needed. In addition the requirements to be met by the treatment of storm water runoff have become more stringent in recent years. To separate the highly-polluted storm water runoff during rain events from the cleaner stream flow a pollution-based real-time control (P-RTC) system was developed and installed. This paper describes the measurement and P-RTC equipment, the definition of total suspended solids as the pollution-indicating parameter, the serviceability of the system, and also gives a cost assessment. A sensitivity analysis and pollution load calculations have been carried out in order to improve the P-RTC algorithm. An examination of actual measurements clearly shows the ecological and economic advantages of the P-RTC strategy.

scholarly journals Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

2018 ◽  
Vol 73 ◽  
pp. 4 ◽  
Author(s):  
Mohammad Saber Karambeigi ◽  
Ali Haghighi Asl ◽  
Masoud Nasiri
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Unconventional Reservoirs ◽  
Residual Oil ◽  
Multi Objective Optimization ◽  
Microemulsion Formulation ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
Single Objective

Microemulsion flooding is one of the most effective methods of Chemical Enhanced Oil Recovery (CEOR), particularly for the production of residual oil trapped in unconventional reservoirs. A critical step for successful application of this technique is to achieve a suitable formulation. Previous studies have almost focused on the technical aspects while considering both practical and economic matters as conflicting objectives has been neglected. In the present paper, the formulation of microemulsion is optimized based on the trade-off between scientific and financial responses using a hybrid workflow in which experimental design and artificial intelligence methodologies are composed. To appraise the efficiency of developed algorithm, a challenge case study is first evaluated and compared to previous approaches. Thereafter, the second case is examined in which a newly developed formulation of microemulsion for high temperature carbonate reservoirs is optimized. The outcomes of this multi-attribute workflow are compared to a single-objective algorithm. The results indicate the outstanding performance of the proposed approach for multi-objective optimization of microemulsion formulation. Eventually, the possible concerns regarding the application of microemulsion flooding in unconventional reservoirs are discussed.

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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