Wind tunnel model tests of snow precipitation and redistribution on rooftops, terraces and in the vicinity of high-rise buildings

Flaga, Andrzej; Bosak, Grzegorz; Pistol, Aleksander; Flaga, Łukasz

doi:10.1016/j.acme.2019.07.007

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…It is a measure of deviation of mean ranks in groups from the mean value of all ranks, equal to (n + 1)∕2 . The value 2 1− ,6 denotes a quantile of 1-α order for 2 distribution with 6 degrees of freedom. If T < 𝜒 2 1−𝛼,6 then at the significance level α there is no grounds to reject the null hypothesis H 0 , otherwise the hypothesis H 0 should be rejected in favor of the alternative hypothesis H 1 .…”

Section: Seasonality Studymentioning

confidence: 99%

“…The value 2 1− ,6 denotes a quantile of 1-α order for 2 distribution with 6 degrees of freedom. If T < 𝜒 2 1−𝛼,6 then at the significance level α there is no grounds to reject the null hypothesis H 0 , otherwise the hypothesis H 0 should be rejected in favor of the alternative hypothesis H 1 . The investigations were conducted using R-Languages Programming [29].…”

Section: Seasonality Studymentioning

confidence: 99%

“…However, their prediction in real-time is extremely difficult due to a number of factors affecting the flow rate, including different throughput (obstruction) of pipes, diversified water consumption patterns (sewage outflow) [1] and variability of meteorological phenomena. Determining the volume of rainwater collected is difficult and often requires specialized laboratory tests [2]. The assessment of this water inflow volume to the sanitary sewage system, which does not have specialized collecting devices, is even more difficult.…”

Section: Introductionmentioning

confidence: 99%

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Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network

Kozłowski

Kowalski

Kowalska

et al. 2021

Archiv.Civ.Mech.Eng

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Sanitary sewage network is relatively rarely considered as the cause of urban floods. Its hydraulic overload can result not only in flooding, but also sanitary contamination of subcatchments. Stormwater is the main reason for this overload. In contrast to the stormwater or combined sewer system, these waters infiltrate into the network in an uncontrolled way, through ventilation holes of covers or structural faults and lack of tightness of manholes. Part of stormwater infiltrates into the soil, where it leaks into pipelines. This greatly hinders assessing the quantity of stormwater influent into the sanitary sewer system. Standard methods of finding correlation between rainfall and the intensity of stormwater flow are ineffective. This is confirmed, i.a. by the studies performed in an existing network, presented in this paper. Only when residuals analysis was performed using the ARIMA and ARIMAX methods, the authors were able to develop a mathematical model enabling to assess the influence of rainfall depth on the stormwater effluent from the sewage network. Owing to the possibility of using the rainfall depth forecasts, the developed mathematical model enables to prepare the local water and sewerage companies for the occurrence of urban floods as well as hydraulic overload of wastewater treatment plants.

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Section: Seasonality Studymentioning

confidence: 99%

Section: Seasonality Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network

Kozłowski

Kowalski

Kowalska

et al. 2021

Archiv.Civ.Mech.Eng

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“…The influence of the morphology of snow on such characteristics as the angle of rest has been studied experimentally in the work [30]. In papers [31,32] the process of snow drift formation on roofs of buildings for various functional purposes has been investigated experimentally. Of practical interest is the study [33] which demonstrates, that when the number of particles in agglomerate increases, the velocity increases and the agglomerate is more likely to adhere to the surface.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations of snow bank formation during milling and rotary snow blower operation

Denis¹,

Mikhail²,

Mikhail³

et al. 2021

J Appl Eng Science

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The main purpose of this paper is to identify basic regularities of snow bank formation when using milling and rotary snow blowers. The study of the mechanism of snow bank formation was based on experimental investigations of the throwing machine rotor of the low-powered milling and rotary snow blower. Moistened sawdust was used as artificial snow. As the result of the conducted investigations, the nature of the snow bank formation has been determined and the regression equations for the distribution of the number of particles, total mass and average mass of individual particles of the material simulating one specific type of snow along the length of the snow bank have been obtained. The relative amount of the material transported by the rotor in relation to the total amount of material loaded into the rotor for the specified geometric and kinematic parameters of the rotor of the throwing machine has been found. The dependencies obtained make it possible to carry out simulation and visualization of snow bank formation during snow clearing operations, to choose the most rational parameters of the throwing machine of the milling and rotary snow blower, as well as to specify the strategy of snow clearing operations with the application of milling and rotary snow blowers.

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CFD simulations can be adequate for the evaluation of snow effects on structures

Tominaga

Stathopoulos

2020

Build. Simul.

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Wind tunnel model tests of snow precipitation and redistribution on rooftops, terraces and in the vicinity of high-rise buildings

Cited by 9 publications

References 9 publications

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network

Experimental investigations of snow bank formation during milling and rotary snow blower operation

CFD simulations can be adequate for the evaluation of snow effects on structures

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