Modeling Water Pollution under Different Scenarios of Zinc Load on the Nizhnekamskoe Reservoir Watershed

Fashchevskaya, T. B.; Motovilov, Yu. G.

doi:10.1134/s0097807819080074

Cited by 3 publications

(4 citation statements)

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“…The geography of application of the hydrochemical module of the ECOMAG-HM model for environmental problems is more moderate. A description of the hydrochemical module and results of validation of the model were published in [30,32,34,35].…”

Section: Ecomag-hm Modelmentioning

confidence: 99%

“…The hydrochemical submodel was tested by comparing observed and simulated concentrations of copper [32] and zinc [34] in different sections of rivers of the NKR basin. The rare frequency of observations at the hydrochemical monitoring points (usually up to 12 observations per year), as well as significant errors in determining HM concentrations in water samples (~50%), do not allow the full use of traditional statistical hydrological criteria for comparing the results of model calculations of intra-annual HM concentrations and episodic data of hydrochemical measurements [45].…”

Section: Description Evaluation and Processing Of Climate Scenario Datamentioning

confidence: 99%

“…Daily fields of weather characteristics in the catchment area were constructed using data of meteorological stations, and the ECOMAG-HM model was applied to simulate runoff and HM removal in the local river network by surface, soil, and ground flow for all elementary watersheds. By averaging the daily fields over a multi-year period, maps of the mean annual specific HM load in the river network by various genetic components were obtained for cooper [32] and zinc [34].…”

Section: Mapping Of the Simulated Hm Characteristicsmentioning

confidence: 99%

“…The hydrochemical module was applied to assess possible changes in river water pollution under various scenarios of the Pechenganikel mining complex in the north-west of the Kola Peninsula, which creates environmental problems in the region [30]. Besides, the model was verified using hydrochemical monitoring data in a large river basin to study the regime of HM concentrations in the watercourses of the Nizhnekamskoe reservoir (NKR) catchment in Russia (for copper [32] and zinc [34]) [35].…”

Section: Introductionmentioning

confidence: 99%

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Modeling Management and Climate Change Impacts on Water Pollution by Heavy Metals in the Nizhnekamskoe Reservoir Watershed

Motovilov

Fashchevskaya

2021

Water

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The semi-distributed physically based ECOMAG-HM model was applied to simulate the cycling of the heavy metals (HM) Cu, Zn, and Mn, and to identify spatial and temporal patterns of heavy metal pollution in water bodies of a large river catchment of the Nizhnekamskoe reservoir (NKR) in Russia. The main river of the catchment is the Belaya River, one of the most polluted rivers in the Southern Urals. The model was tested against long-term data on hydrological and hydrochemical monitoring of water bodies. It is shown that the pollution of rivers is formed mainly due to diffuse wash-off of metals into rivers from the soil-ground layer. Numerical experiments to assess the impact of water economic activities on river pollution were carried out by modeling scenarios of changes in the amount of metal discharged with wastewater, a disaster with a salvo discharge of pollutants, and the exclusion of anthropogenic impact on the catchment to assess self-purification of the basin. Modeling of chemical runoff in accordance with the delta-change climatic scenario showed that significant changes in water quality characteristics should not be expected in the near future up to 2050.

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Section: Ecomag-hm Modelmentioning

confidence: 99%