The impact of selected parameters on the formation of hydrogen peroxide by sonochemical process

Ziembowicz, Sabina; Kida, Małgorzata; Koszelnik, Piotr

doi:10.1016/j.seppur.2018.04.073

Cited by 26 publications

(15 citation statements)

References 31 publications

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“…The applied method allowed the determination of the tested parameter values in the form of coded values from the formula (11) [2,26]. The calculation results both produced by and forming the design of the experiment represented by the coded values are shown in Table 3.…”

Section: Methodology and Case Studymentioning

confidence: 99%

“…However, the implementation of such solutions requires reliable procedures to determine the necessary retention capacity. The retention facility dimensioning methods developed so far are based on the analysis of the hydrograph evolution of retention reservoir waste water inflow and outflow [10][11][12][13][14][15]. A criterion for the production of hydrographs in hydrodynamic simulation programs [12,16] is to adopt a reliable and accurate rainfall that has a defined probability of occurrence within a critical duration.…”

Section: Introductionmentioning

confidence: 99%

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Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs

Pochwat

Słyś

2018

Ecological Chemistry and Engineering S

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One of the essential needs for retention reservoirs is to reduce the volume of wastewater flows in sewer systems. Their main advantage is the potential to increase retention in the system, which in turn improves hydraulic safety by reducing the risk of node flooding and the emergence of the phenomenon of “urban flooding”. The increasingly common use of retention reservoirs, the observed changes in the climate and the development of dedicated software tools necessitate the updating of the methods used to dimension retention reservoirs. So far, the best known procedures in this regard involve the application of analytical formulas and tools in the hydrodynamic modelling of current sewage systems. In each case the basis for the retention facility design is the evaluation of rainfall in terms of the probability of occurrence and duration that would result in a critical rainwater flow condition in the sewer system in order to define the required reservoir retention capacity. The purpose of this paper is to analyse of the feasibility of applying artificial neural networks in the preliminary estimation of the duration of critical rainfalls. Such an application of these networks is essential to the process of hydrodynamic modelling of the system and to determining the required retention capacity of the reservoir. The study used an artificial neural network model typically used as part of planning processes, as well as the Statistica software suite.

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Section: Methodology and Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs

Pochwat

Słyś

2018

Ecological Chemistry and Engineering S

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“…The degradation of organic compounds was slower in the presence of Fe 3+ as opposed to Fe 2+ , and-where pollutants are present in bottom sediments and soil-it is advisable that they be subject to earlier desorption into the water phase, followed by rapid decomposition of hydrogen peroxide to oxygen and water [17,18].…”

Section: Impact Of Reagent Dose On Dehp Degradationmentioning

confidence: 99%

Impact of a Modified Fenton Process on the Degradation of a Component Leached from Microplastics in Bottom Sediments

2019

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This paper describes work to assess the possibility of a modified Fenton process being used to remove the hard-to-degrade plasticizer di(2-ethylhexyl) phthalate (DEHP) from the bottom sediments of a reservoir. The modifications in question entail iron(II) ions being replaced by iron(III), as well as facilitation of the process using a chelating agent. Analysis further revolved around the impact of such factors as amounts of reagents, reaction of the environment, initial contents of the contaminant, and the presence of other “competing” contaminants also of a hard-to-decompose nature. As the maximum efficiency of DEHP removal obtained did not exceed 30%, the low susceptibility to degradation is made clear, as is the need for earlier desorption of the contaminant from the matrix. The effect of the modified Fenton process on the content of organic matter and dissolved organic carbon was also considered, as was the tendency to cause selected metals and plant nutrients to leach from bottom sediments.

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“…The use of LID objects and retention tanks, especially in densely built-up areas and the ones with low soil permeability, may be difficult [62]. In addition, the quantity and quality of stormwater flowing from different areas of the drained drainage catchment show great variation [63,64]. Following a universal scheme without a thorough technical and economic analysis of many variants and taking into account local [65][66][67] and environmental conditions [68,69] will result in drawing up inefficient concepts for the development of drainage systems.…”

Section: Introductionmentioning

confidence: 99%

A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System

Starzec

Dziopak

2020

Resources

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To determine the effectiveness of the retention capacity utilization of traditional and innovative drainage systems equipped with damming partitions, the detailed model tests were carried out. The research results allowed indicating what values of the hydraulic parameter of the innovative drainage system should be adopted in order to effectively use the retention capacity of drainage collectors. The adoption of short distances between the LKR damming partitions and a high level of permissible rainfall of stormwater Hper turned out to be the most effective solution. In the most favorable conditions, the peak flow was reduced by up to 60% (717.46 dm3/s) compared to the values established in the traditional drainage system (1807.62 dm3/s). The benefits obtained resulted from the increased retention efficiency of the drainage system after equipping it with the damming partitions. It was found that the innovative system always achieved the maximum retention capacity with longer rainfall compared to the traditional system. In the real catchment area, an increase in the use of the retention capacity of the drainage system, from an initial value of 65% for a traditional system to almost 88% for an innovative system, was also found. Very large variability of the volume of accumulated stormwater in the conduits of the traditional and innovative drainage system was observed during rainfall, which generated the peak rainfall discharge in the innovative system. With rainfall of TRK duration, the innovative system accumulated up to 746.50 m3 more stormwater compared to a traditional system, which was 49.2% of the total retention capacity of the drainage system, with a value of 1515.76 m3. The approach to reduce the growing flood risk in cities provided the right approach to long-term urban drainage system planning, especially since traditional drainage systems are still the leading way to transport stormwater in cities. In addition, the innovative sewage system gives the possibility of favorable cooperation with any objects (LID) and retention tanks with any hydraulic model. The implementation of an innovative system allows achieving significant financial savings and reducing the need to reserve areas designated for infrastructure investments.

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The impact of selected parameters on the formation of hydrogen peroxide by sonochemical process

Cited by 26 publications

References 31 publications

Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs

Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs

Impact of a Modified Fenton Process on the Degradation of a Component Leached from Microplastics in Bottom Sediments

A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System

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