City Snow Dumps of a Large Industrial Centre as a Source of Surface Water Pollution (on the Example of Ufa City)

Минигазимов, Н. С.; Khaidarshina, Elnara T.; Abdrahmanov, Rafil; Сафарова, В. И.; Shaidullina, Galina; Khasanova, Luiza; Mustafin, Radik; Zagitova, Larisa R.; Kutliyarov, Damir; Kutliyarov, Amir

doi:10.3233/ajw190019

Cited by 2 publications

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“…Snow disposal on land differs from the preceding case with respect to the fate of dissolved pollutantsthey may either infiltrate into the ground or be transported with surface runoff (Malmquist 1984). Infiltrating pollutants may pollute shallow groundwater (e.g., chloride, Environment Canada and Health Canada 2000) and also negatively impact on soils, their cover, structure, infiltration capacity (Trahan and Peterson 2007) and fertility, and surrounding lands (Lobkina et al 2019;Minigazimov et al 2019). However, with proper design, these impacts can be mitigated, and on-land snow disposal is currently considered as the best management practice in snow disposal (Lindqvist 2019), when environmental effects of snow transportation (traffic, noise) can be managed.…”

Section: Introductionmentioning

confidence: 99%

Estimating Pollution Loads in Snow Removed from a Port Facility: Snow Pile Sampling Strategies

Vijayan

Österlund

Maršálek

et al. 2021

Water Air Soil Pollut

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Choosing the appropriate sampling strategy is significant while estimating the pollutant loads in a snow pile and assessing environmental impacts of dumping snow into water bodies. This paper compares different snow pile sampling strategies, looking for the most efficient way to estimate the pollutant loads in a snow pile. For this purpose, 177 snow samples were collected from nine snow piles (average pile area − 30 m2, height − 2 m) during four sampling occasions at Frihamnen, Ports of Stockholm’s port area. The measured concentrations of TSS, LOI, pH, conductivity, and heavy metals (Zn, Cu, Cd, Cr, Pb, and V) in the collected samples indicated that pollutants are not uniformly distributed in the snow piles. Pollutant loads calculated from different sampling strategies were compared against the load calculated using all samples collected for each pile (best estimate of mass load, BEML). The results/study showed that systematic grid sampling is the best choice when the objective of sampling is to estimate the pollutant loads accurately. Estimating pollutant loads from single snow column samples (collected at a point from the snow pile through the entire depth of the pile) produced up to 400% variation from BEML, whereas samples composed by mixing volume-proportional subsamples from all samples (horizontal composite samples) produced only up to 50% variation. Around nine samples were required to estimate the pollutant loads within 50% deviation from BEML for the studied snow piles. Converting pollutant concentrations in snow to equivalent concentrations in snowmelt and comparing it with available guideline values for receiving water, Zn was identified as the critical pollutant.

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Section: Introductionmentioning

confidence: 99%