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  1. 2024

  2. A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region

    Sergeev, A., Shichkin, A., Baglaeva, E., Buevich, A. & Butorova, A., 1 Feb 2024, In: Atmospheric Pollution Research. 15, 2, 102000.

    Research output: Contribution to journal › Article › peer-review

  3. 2023

  4. Counter-prediction approach to predict the missing values of a spatial series on the example of the dustiness in the snow cover

    Sergeev, A. P., Shichkin, A. V., Buevich, A. G. & Baglaeva, E. M., 1 Jun 2023, In: Modeling Earth Systems and Environment. 9, 2, p. 1523-1530 8 p.

    Research output: Contribution to journal › Article › peer-review

  5. Application of the Wavelet Data Transformation for the Time Series Forecasting by the Artificial Neural Network: book chapter

    Butorova, A., Baglaeva, E., Subbotina, I., Sergeeva, M., Sergeev, A., Shichkin, A., Buevich, A. & Petrov, P., 18 Mar 2023, New Trends in the Applications of Differential Equations in Sciences: book. Slavova, A. (ed.). Springer Cham, p. 365-370 6 p. (Springer Proceedings in Mathematics & Statistics; vol. 412).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  6. Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere: book chapter

    Butorova, A., Buevich, A., Shichkin, A., Sergeev, A., Baglaeva, E., Sergeeva, M., Subbotina, I. & Vasilev, J., 18 Mar 2023, New Trends in the Applications of Differential Equations in Sciences: book. Slavova, А. (ed.). Springer Cham, p. 383-388 16 p. (Springer Proceedings in Mathematics & Statistics; vol. 412).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  7. Influence of the transfer function of the NARX network hidden layer on the accuracy of predicting the changes in the surface methane concentration

    Medvedev, A., Sergeev, A., Buevich, A., Shichkin, A. & Sergeeva, M., 2023, In: AIP Conference Proceedings. 2849, 1, 090025.

    Research output: Contribution to journal › Conference article › peer-review

  8. СРАВНЕНИЕАЛГОРИТМОВ ОБУЧЕНИЯ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ NARX ДЛЯ ПРОГНОЗИРОВАНИЯ ВРЕМЕННЫХ РЯДОВ КОНЦЕНТРАЦИЙ МЕТАНА И УГЛЕКИСЛОГО ГАЗА

    Буторова, А. С., Шичкин, А. В., Буевич, А. Г., Сергеев, А. П., Баглаева, Е. М. & Субботина, И. Е., 2023, In: Экологические системы и приборы. 9, p. 37-45 9 p.

    Research output: Contribution to journal › Article › peer-review

  9. 2022

  10. Comparing the Types of Artificial Neural Networks to Predict the Carbon Dioxide Concentration Changes

    Sergeev, A., Buevich, A., Shichkin, A., Baglaeva, E., Subbotina, I. & Sergeeva, M., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110007. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  11. Improved Algorithm for Splitting Raw Data into Training and Test Subsamples for MLP-Based Models

    Sergeev, A., Rakhmatova, A., Buevich, A., Shichkin, A., Baglaeva, E. & Subbotina, I., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110009. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  12. Short-Term Forecast the Dynamics of Changes in the Surface Concentration of Methane Using a Non-Linear Autoregressive Neural Network with External Input and Vector Autoregression Model

    Sergeev, A., Shichkin, A., Buevich, A., Rakhmatova, A. & Remezova, M., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110010. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  13. The Pattern of Some Greenhouse Gases Content in the Air of Belyy Island in the Russian Arctic Region

    Sergeev, A., Baglaeva, E., Buevich, A., Shichkin, A. & Remezova, M., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 110008. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  14. ПРОСТРАНСТВЕННОЕ РАСПРЕДЕЛЕНИЕ ТЯЖЕЛЫХ МЕТАЛЛОВ В ВЕРХНЕМ СЛОЕ ПОЧВЫ: РЕПРЕЗЕНТАТИВНОСТЬ ИСХОДНЫХ ДАННЫХ ДЛЯ ОБУЧЕНИЯ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ

    Шичкин, А. В., Баглаева, Е. М., Сергеев, А. П., Мамедалиева, А. Ю. & Буевич, А. Г., 2022, In: Экологические системы и приборы. 8, p. 33-42 10 p.

    Research output: Contribution to journal › Article › peer-review

  15. 2021

  16. The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil

    Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., Dec 2021, In: Catena. 207, 8 p., 105699.

    Research output: Contribution to journal › Article › peer-review

  17. A two-step combined algorithm based on NARX neural network and the subsequent prediction of the residues improves prediction accuracy of the greenhouse gases concentrations

    Buevich, A., Sergeev, A., Shichkin, A. & Baglaeva, E., Mar 2021, In: Neural Computing and Applications. 33, 5, p. 1547-1557 11 p.

    Research output: Contribution to journal › Article › peer-review

  18. Forecasting of some greenhouse gases content trend in the air of the Russian Arctic region

    Baglaeva, E., Buevich, A., Sergeev, A., Rakhmatova, A. & Shichkin, A., Feb 2021, In: Atmospheric Pollution Research. 12, 2, p. 68-75 8 p.

    Research output: Contribution to journal › Article › peer-review

  19. 2020

  20. Conjoint approach of the "residual" prediction and the nonlinear autoregressive neural network increases the forecast precision of the base model

    Sergeev, A., Shichkin, A., Buevich, A., Baglaeva, E., Subbotina, I., Rakhmatova, A., Kosachenko, A., Moskaleva, A., Medvedev, A. & Sergeeva, M., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 120021. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  21. Prediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARX

    Sergeev, A., Buevich, A., Shichkin, A., Baglaeva, E., Subbotina, I., Medvedev, A. & Sergeeva, M., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 120020. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  22. The forecast of the methane concentration changes for the different time periods on the arctic island bely

    Medvedev, A., Sergeev, A., Shichkin, A., Baglaeva, E., Subbotina, I., Buevich, A. & Sergeeva, M., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 120019. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  23. The Effect of Splitting of Raw Data into Training and Test Subsets on the Accuracy of Predicting Spatial Distribution by a Multilayer Perceptron

    Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 1 Jan 2020, In: Mathematical Geosciences. 52, 1, p. 111-121 11 p.

    Research output: Contribution to journal › Article › peer-review

  24. Двухшаговый комбинированный алгоритм повышения точности прогнозирования концентрации метана в атмосферном воздухе на основе нейронной сети NARX и последующего прогнозирования невязок

    Субботина, И. Е., Буевич, А. Г., Сергеев, А. П., Шичкин, А. В., Баглаева, Е. М. & Ремезова, М. С., 2020, In: Арктика: Экология и экономика. 38, 2 (38), p. 59-67 9 p.

    Research output: Contribution to journal › Article › peer-review

  25. 2019

  26. Descriptive statistics of air particulate matter size distribution in industrial city

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050011. (AIP Conference Proceedings; vol. 2186).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  27. Statistical characteristics calculation of the natural dust size distribution in the air surface layer of Belyy Island

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A., Subbotina, I., Markelov, Y. & Petrov, P., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050012. (AIP Conference Proceedings; vol. 2186).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  28. Using autoregressive neural network with external input for calculation of expected carbon dioxide surface concentration for different time intervals

    Sergeev, A., Baglaeva, E., Shichkin, A., Buevich, A., Rakhmatova, A., Kosachenko, A., Moskaleva, A. & Sergeeva, M., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050013. (AIP Conference Proceedings; vol. 2186).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  29. About data separation for the artificial neural network training to predict the spatial distribution of the chemical element in the soil

    Rakhmatova, A. Y., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 6 Dec 2019, Physics, Technologies and Innovation, PTI 2019: Proceedings of the VI International Young Researchers Conference. Volkovich, V. A., Zvonarev, S. V., Kashin, I. V., Smirnov, A. A. & Narkhov, E. D. (eds.). American Institute of Physics Inc., 5 p. 020159. (AIP Conference Proceedings; vol. 2174).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  30. Security Certificates Used in Public Web Sites of Banks in Czech Republic, Slovakia and Hungary

    Petrov, P., Malkawi, R., Shichkin, A., Dimitrov, G. & Nacheva, R., Nov 2019, In: Tem Journal-Technology Education Management Informatics. 8, 4, p. 1224-1231 8 p.

    Research output: Contribution to journal › Article › peer-review

  31. Method of selecting spatially distributed information for constructing training set of artificial neural networks

    Sydikhov, A., Buevich, A., Sergeev, A., Shichkin, A., Subbotina, I. & Baglaeva, E., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 200020. (AIP Conference Proceedings; vol. 2116).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  32. Training algorithms for artificial neural networks for time series forecasting of greenhouse gas concentrations

    Shichkin, A., Buevich, A., Sergeev, A., Medvedev, A., Kosachenko, A., Moskaleva, A. & Sergeeva, M., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 200019. (AIP Conference Proceedings; vol. 2116).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  33. Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories

    Baglaeva, E. M., Sergeev, A. P., Buevich, A. G., Subbotina, I. E. & Shichkin, A. V., 1 Jul 2019, In: Atmospheric Pollution Research. 10, 4, p. 1220-1226 7 p.

    Research output: Contribution to journal › Article › peer-review

  34. Partition Procedure of the Initial Data for the Models Based on Artificial Neural Networks

    Rakhmatova, A., Sergeev, A., Buevich, A., Shichkin, A. & Sergeeva, M., 1 Apr 2019, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Institute of Electrical and Electronics Engineers Inc., p. 241-243 3 p. 8736648. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  35. Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

    Sergeev, A. P., Buevich, A. G., Baglaeva, E. M. & Shichkin, A. V., 1 Mar 2019, In: Catena. 174, p. 425-435 11 p.

    Research output: Contribution to journal › Article › peer-review

  36. ПОВЕРХНОСТНАЯ ИНТЕРПОЛЯЦИЯ СОДЕРЖАНИЙ ТЯЖЕЛЫХ МЕТАЛЛОВ В ПОЧВЕ МЕТОДАМИ МАШИННОГО ОБУЧЕНИЯ

    Буевич, А. Г., Буторова, А. С., Косаченко, А. И., Шичкин, А. В. & Сергеев, А. П., 2019, In: Геоинформатика. 1, p. 36-43 8 p.

    Research output: Contribution to journal › Article › peer-review

  37. 2018

  38. Time series forecasting of methane concentrations in the surface layer of atmospheric air in Arctic region

    Sergeev, A., Shichkin, A. & Buevich, A., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060005

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  39. Training algorithms for artificial neural network in predicting of the content of chemical elements in the upper soil layer

    Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E., Subbotina, I., Vasilev, J. & Kehayova-Stoycheva, M., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060004

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  40. Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks

    Shichkin, A., Buevich, A., Sergeev, A., Antonov, K. & Sergeeva, M., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050009

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  41. Forecasting of spatial variable by the models based on artificial neural networks on an example of heavy metal content in topsoil

    Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050007

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  42. Recognition of chromium distribution features in different urban soils by multilayer perceptron

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050008

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  43. Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution

    Shichkin, A. V., Buevich, A. G. & Sergeev, A. P., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. Bardis, N. (ed.). American Institute of Physics Inc., Vol. 1982. 7 p. 020005. (AIP Conference Proceedings; vol. 1982).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  44. Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized area

    Subbotina, I. E., Buevich, A. G., Shichkin, A. V., Sergeev, A. P., Tarasov, D. A., Tyagunov, A. G., Sergeeva, M. V. & Baglaeva, E. M., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. Bardis, N. (ed.). American Institute of Physics Inc., Vol. 1982. 7 p. 020004. (AIP Conference Proceedings; vol. 1982).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  45. Chromium distribution forecasting using multilayer perceptron neural network and multilayer perceptron residual kriging

    Tarasov, D., Buevich, A., Shichkin, A., Subbotina, I., Tyagunov, A. & Baglaeva, E., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440019

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  46. Comparison of different models for the chromium distribution forecasting in topsoil in subarctic Novy Urengoy city

    Sergeev, A., Shichkin, A., Tarasov, D., Sydikhov, A., Sergeeva, M. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440005

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  47. Forecasting of chromium distribution in subarctic noyabrsk using generalized regression neural networks and multilayer perceptron

    Tarasov, D., Buevich, A., Shichkin, A. & Vasilev, J., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440024

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  48. Forecasting of heavy metal distribution based on co-kriging and generalized regression neural network with co-elements concentration as input data

    Buevich, A., Shichkin, A., Tyagunov, A., Baglaeva, E. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440018

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  49. Chromium distribution forecasting in subarctic noyabrsk using cokriging, generalized regression neural network, multilayer perceptron, and hybrid technique

    Buevich, A. G., Sergeev, A. P., Shichkin, A. V., Kosachenko, A. I. & Moskaleva, A. S., 1 Jan 2018, In: CEUR Workshop Proceedings. 2076, p. 39-48 10 p.

    Research output: Contribution to journal › Conference article › peer-review

  50. High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

    Tarasov, D. A., Buevich, A. G., Sergeev, A. P. & Shichkin, A. V., 1 Jan 2018, In: Applied Geochemistry. 88, p. 188-197 10 p.

    Research output: Contribution to journal › Article › peer-review

  51. 2017

  52. A hybrid method for assessment of soil pollutants spatial distribution

    Tarasov, D. A., Medvedev, A. N., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 21 Jul 2017, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. American Institute of Physics Inc., Vol. 1863. 050015

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  53. High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

    Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Subbotina, I. E., Shichkin, A. V., Sergeeva, M. V. & Lvova, O. A., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020023

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  54. Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

    Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Shichkin, A. V., Tyagunov, A. G. & Medvedev, A. N., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020033

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  55. Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

    Tarasov, D. A., Buevich, A. G., Sergeev, A. P., Shichkin, A. V. & Baglaeva, E. M., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020024

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  56. 2016

  57. ПРИМЕНЕНИЕ ГЕОСТАТИСТИЧЕСКОГО И НЕЙРОСЕТЕВОГО ПОДХОДА ДЛЯ ОЦЕНКИ ПОВЕРХНОСТНОГО РАСПРЕДЕЛЕНИЯ ПРИМЕСЕЙ В СНЕГОВОМ ПОКРОВЕ НА ТЕРРИТОРИИ МИКРОРАЙОНА АКАДЕМИЧЕСКИЙ ГОРОДА ЕКАТЕРИНБУРГА

    Буевич, А. Г., Сергеев, А. П., Шичкин, А. В., Медведева, М. А. & Баглаева, Е. М., 2016, In: Экологические системы и приборы. 10, p. 3-17 15 p.

    Research output: Contribution to journal › Article

ID: 125957