Investigating nitrogen removal using simultaneous nitrification-denitrification in transferring wastewater through collection networks with small-diameter pipes

Babanezhad, E.; Rad, Hasan Amini; Karimi, Samaneh; Qaderi, Farhad

doi:10.2166/wpt.2017.044

Cited by 19 publications

(5 citation statements)

References 22 publications

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“…The disinfectant type is clearly an important difference between the Philadelphia (chloramine) and Boulder (free chlorine) systems; however, many other water quality parameters differ between these two locations, and hence, differences between locations cannot be attributed solely to disinfectant type with confidence. Nevertheless, the strong influence of the wall reaction in the chloramine system is consistent with biological processes, such as nitrification, which would occur primarily in a biofilm on the pipe wall (Babanezhad, Amini Rad, Hosseini Karimi, & Qaderi, 2017; Waak, Hozalski, Hallé, & LaPara, 2019; Wahman, Maestre, & Speitel Jr, 2016; Y. Zhang, Griffin, et al, 2009; Y. Zhang, Love, & Edwards, 2009).…”

Section: Discussionmentioning

confidence: 60%

Full factorial study of pipe characteristics, stagnation times, and water quality

Tolofari

Masters²,

Bartrand³

et al. 2020

AWWA Water Science

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This study examines the effect of pipe characteristics and stagnation time on nitrification, disinfectant loss, and organic carbon concentrations. Pipe racks consisting of different pipe materials (chlorinated polyvinyl chloride [CPVC], cross‐linked polyethylene [PEX‐B], and copper), diameters (0.75 and 0.5 in.), and water stagnation times (1 week and 12 hr) were set up in two cities with different disinfectants (chloramine and free chlorine) and different corrosion control (orthophosphate vs. pH/alkalinity adjustment). Copper pipe material had lower residual concentrations relative to plastic pipe in both water systems. In the chloramine system, residual concentrations were lower for smaller‐diameter pipes, whereas diameter did not strongly influence residual concentration in the chlorine system. Total organic carbon (TOC) increased during stagnation in the chloramine system. Nitrification was observed in the chloramine system for stagnation times of 1 week and 12 hr, indicating that flushing as frequently as every 12 hr may not be an effective mechanism for nitrification control in building plumbing.

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Section: Discussionmentioning

confidence: 60%

Full factorial study of pipe characteristics, stagnation times, and water quality

Tolofari

Masters²,

Bartrand³

et al. 2020

AWWA Water Science

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“…On the other hand, rapid development of construction industries and consuming the natural resources have led to reduction of natural resources and environmental degradation by various ways. Therefore, many efforts have been made focusing on by-products and industrial wastes in order to protect the natural resources [3,4,12,17,26,29,32,43,44,57]. For example, reducing the use of construction materials by applying the industrial wastes in concrete is a positive step towards sustainable development [15].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the tensile strength of concrete containing coal waste considering the cost

Khataei

Nasrollahi

2019

SN Appl. Sci.

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Nowadays, removal of the waste from industrial activities is one of the serious problems in the world. Contrarily, needing the development of industrial construction and reduce its costs, with considering the construction quality, are the main priorities of progress. Therefore, in this paper, for the first time, all these issues are considered related to using the waste of coal extraction; also, the application of coal wash rejects in the concrete manufacture and its impact on tensile strength of concrete have been investigated. To this goal, coal waste was prepared from the Central Alborz Coal Preparation Plant in northern Iran. Designing the experiments by the response surface methodology (RSM), the influence of parameters like water/cement (0.4-0.6), cement content (305-445 kg/m 3 ), aggregate volume (0.4-0.6%) and coal waste (0.5-9.75%) on the tensile strength to cost of concrete construction were evaluated. Presenting the model, optimizing and investigating the individual, reciprocal and simultaneous effects of independent variables on the tensile strength to cost of concrete by RSM were conducted for the first time. Based on the results of tensile strength tests and estimating the cost of concrete construction, the highest ratio of tensile strength to cost was obtained by using the cement content of 340 kg/m 3 , water/cement of 0.45, gravel volume of 0.55% and coal waste of 7.5%. In this case, the response value was 1.29E−6 MPa/USD. These results indicate the high potential of these wastes in the production of concrete in terms of tensile strength and also economic aspect.

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“…In the past researches, the effect of different parameters on the dependent environmental variables have been investigated [16][17][18][19][20][21]. A lot of studies were conducted on sensitivity analysis to determine the effect of each parameter.…”

Section: Introductionmentioning

confidence: 99%

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Qaderi¹,

Babanezhad²,

Ghadi³

2019

J. Model. Optim.

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One of the most toxic pollutant gases produced by fossil fuels is carbon monoxide. Hence, the accurate and regular estimation and control of CO in the cities such as Tehran is inevitable. In this research, for the first time, CO concentration in ambient air was predicted based on 12 important urban and meteorological parameters by neural network. Also, the sensitivity analysis of the factors that effect on the concentration of carbon monoxide in Tehran was investigated based on the pollutant concentration predictive model. In this research, the daily statistical data of Tehran metropolis over the course of five consecutive years from 12 factors affecting the amount of carbon monoxide in Tehran, such as population, density, precipitation, temperature, urban traffic, wind speed, gasoil consumption, moisture, air flow, effective vision and air pressure was used. Based on this database, the artificial neural network with the best possible algorithm had been trained to predict this contaminant and root mean square error of model was equal to 2.54. Then, sensitivity analysis was done to find the most effective factor on the concentration of carbon monoxide, urban density and air pressure. In order to control this hazardous contaminant in urban management, these parameters should be taken into account. Based on the result, by preventing the construction of high towers in Tehran, wind speed average will increase and increasing in wind speed (25%) caused to reducing in carbon monoxide concentration (about 12%). Also, prevention of urban density (25%) will cause to prevention of increasing CO concentration (about 10%).

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Investigating nitrogen removal using simultaneous nitrification-denitrification in transferring wastewater through collection networks with small-diameter pipes

Cited by 19 publications

References 22 publications

Full factorial study of pipe characteristics, stagnation times, and water quality

Full factorial study of pipe characteristics, stagnation times, and water quality

Optimizing the tensile strength of concrete containing coal waste considering the cost

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

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