Giricheva E.E., Bocharnikov V.N., Fomin E.V. Assessment of Vladivostok urban environment quality using collection of indicators

Authors

  • Evgenia Evgenievna Giricheva Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Science; Far Eastern Federal University, Vladivostok, Russia Author
  • Vladimir Nikolaevich Bocharnikov Pacific Institute of Geography, Far Eastern Branch of the Russian Academy of Science, Vladivostok, Russia Author
  • Evgeny Vitalievich Fomin Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Science, Vladivostok, Russia Author

DOI:

https://doi.org/10.5922/1994-5280-2022-4-7

Keywords:

system of indicators, modeling, sustainable development, quality of the urban environment, life quality, ecological economics

Abstract

The paper presents an analysis of the quality of the urban environment of Vladivostok based on a system of indicators using the OECD model „Impact – State – Response“. The system of indicators proposed by the OECD as a plan for the development of green cities includes more than 100 main and about 50 additional indices that assess the environmental component of the urban environment. The authors propose a set of 23 aggregated indicators that consider the main sources of harmful effects on the environment, air and sea conditions, and the living standards, as well as the reaction of the population and the municipal administration to ongoing changes. The use of remote sensing data made it possible to determine the indices characterizing the degree of the territory development and to obtain a spatial pattern of land use changes in the urban district. Based on the dynamics of aggregated indicators for the period from 2011 to 2018 integral indicators are calculated to assess the current state of the urban environment, identify its most problematic components and outline ways for a rational arrangement. The authors note the need to consider the negative consequences of land use change and irrational resource use under the formation of the Vladivostok agglomeration, as well as to develop a strategy to improve the living standards of the population while keeping the environment safe. 

Financing
The work was carried out within the framework of work on the topic of grant of the Russian Science Foundation No. 22-17-00186  "The potential of coastal settlements for long-term sustainable development: content and assessment methods using the example of Pacific Russia." The processing and analysis of satellite data was carried out with the financial support of FEFU, the Priority-2030 Strategic Academic Leadership Program of the Digital Development Center.

Author Biographies

  • Evgenia Evgenievna Giricheva, Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Science; Far Eastern Federal University, Vladivostok, Russia

    Candidate of Physical and Mathematical Sciences, Senior Researcher, Laboratory of Mathematical Modeling of Biophysical Processes, Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences; Associate Professor, Institute of Mathematics and Computer Technologies, Far Eastern Federal University, Vladivostok

  • Vladimir Nikolaevich Bocharnikov, Pacific Institute of Geography, Far Eastern Branch of the Russian Academy of Science, Vladivostok, Russia

    Doctor of Biological Sciences, Leading Researcher, Laboratory of Ecology and Animal Conservation, Pacific Institute of Geography, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok

  • Evgeny Vitalievich Fomin, Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Science, Vladivostok, Russia

    Leading software engineer of the satellite monitoring laboratory of the Institute of Automation and Control Processes of the Far Eastern Branch of the Russian Academy of Sciences, Vladivostok

References

Белкина Т.Д. Диагностика городского развития с помощью системы индикаторов // Проблемы прогнозирования. 2007. № 2. С. 77–89.

Битюкова В.Р. Интегральная оценка экологической ситуации городов России // Региональные исследования. 2014. № 4 (46). С. 49–57.

Бобылев С.Н., Кудрявцева О.В., Соловьева С.В. Индикаторы устойчивого развития для городов // Экономика региона. 2014. № 3. С. 101–110.

Доклад о развитии человеческого потенциала в Российской Федерации за 2013 год. Устойчивое развитие: вызовы Рио / под общ. ред. С.Н. Бобылева. М.: ПРООН, 2013. 202 с.

Казанцев П.А., Марус Я.В., Смеловская А.М. Особенности формирования устойчивой городской среды в условиях реновации водной системы Владивостока // Урбанистика. 2019. № 1. С. 18–32.

Климанова О.А., Колбовский Е.Ю., Илларионова О.А. Зеленая инфраструктура города: оценка состояния и проектирование развития. М.: Тов-во научн. изд. КМК, 2020. 324 с.

Коротков П.А., Трубянов А.Б. Оценка экологической эффективности крупных городов в условиях быстрой урбанизации // Научный журнал КубГАУ. 2014. № 102. С. 1072–1098.

Кочуров Б.И., Ивашкина И.В., Фомина Н.В., Лобковская Л.Г. Принципы и приемы развития современного города как сложной урбоэкосоциосистемы // Экология урбанизированных территорий. 2018. № 3. С. 83–89.

Огородникова А.А., Щеглов В.В., Вейдеман Е.Л. Модель «воздействие –состояние – отклик» в решении задач экологического мониторинга загрязнения прибрежных экосистем // Известия ТИНРО (Тихоокеанского научно-исследовательского рыбохозяйственного центра). 2004. Т. 137. С. 321–336.

Осипов Е.С., Михайлов Б.С. Анализ функционального зонирования и структуры распределения земель Владивостокского городского округа // Междунар. журнал прикладных наук и технологий «Integral». 2020. № 4. С. 25–35.

Преображенский В.С., Мухина Л.И. Современные ландшафты как природно-антропогенные системы // Изв. АН СССР. Сер. геогр. 1984. № 1. С. 19–27.

Приступ Н.П. Экономика города Владивостока: анализ и оценка текущего состояния // Междунар. журнал прикладных и фундаментальных исследований. 2015. № 8-5. С. 942–946.

Рейтинг устойчивого развития городов России [Электронный ресурс]. URL: https://agencysgm.com/projects/Брошюра2020.pdf. (дата обращения: 03.11.2022).

Сокольская Е.В., Кочуров Б.И. Геоэкология города: модели качества среды. М.: Инфра-М., 2021. 185 с.

Устойчивое развитие городов: коллективная монография / под ред. К.В. Папенова, С.М. Никонорова, К.С. Ситкиной. М.: Экон. ф-т МГУ, 2019. 288 с.

Chen P., Shi X. Dynamic evaluation of China’s ecological civilization construction based on target correlation degree and coupling coordination degree // Environmental Impact Assessment Review. 2022. № 93. P. 106734.

Chen X., Zhao H., Li P., Yin Z. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes // Remote Sensing of Environment. 2006. № 104. P. 133–146.

Chen Y.Q., Zhao L.M. Exploring the relation between the industrial structure and the eco-environment based on an integrated approach: a case study of Beijing, China // Ecol. Indic. 2029. № 103. P. 83–93. DOI: 10.1016/j.ecolind.2019.04.001.

Chen Z. et al. An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration // Earth Syst. Sci. Data. 2021. № 13. P. 889–906. DOI: 10.5194/essd-13-889-2021.

Deng J.L. Introduction to grey system theory // The Journal of Grey System. 1989. № 1. P. 1–24.

Donati G.F., Bolliger J., Psomas A., Maurer M., Bach P.M. Reconciling cities with nature: Identifying local Blue-Green Infrastructure interventions for regional biodiversity enhancement // Journal of Environmental Management. 2022. № 316. P. 115254. DOI: 10.1016/j.jenvman.2022.115254.

Green Growth in Cities, OECD Green Growth Studies. OECD Publishing, 2013. DOI: 10.1787/9789264195325-en.

Gong P. et al. Annual Maps of Global Artificial 478 Impervious Area (GAIA) between 1985 and 2018 // Remote Sens. Environ. 2020. N 236. P. 111510. DOI: 10.1016/j.rse.2019.111510.

Hashim H., Abd Latif Z., Adnan N.A. Urban vegetation classification with NDVI threshold value method with very high resolution (VHR) Pleiades imagery. The International Archives of Photogrammetry // Remote Sensing and Spatial Information Sciences. 2019. № 42. P. 237–240.

Jiang L., Bai L., Wu Y.M. Analysis on the coordination of provincial economy, resources and environment in China // J. Nat. Resour. Policy Res. 2017. № 32 (5). P. 788–799. DOI: 10.11849/zrzyxb.20160512.

Liu K.B., Wang X., Li H.B., Li Y.H. Theoretical Framework of Urban Eco-Civilization Construction. In Advanced Materials Research (Vols. 616–618, pp. 1234–1237). Trans Tech Publications, Ltd, 2012. DOI: 10.4028/www.scientific.net/amr.616-618.1234.

Liu L. et al. Comprehensive eco-environmental impact assessment of urban planning based on pressure-state-response model // Applied Ecology and Environmental Research. 2019. № 17 (6). P. 14455–14463.

Liu Y.S. Research on the urban-rural integration and rural revitalization in the new era in China // Acta Geographica Sinica. 2018. № 73 (4). P. 637–650.

McDonald R.I., Marcotullio P.J., Güneralp B. Urbanization and global trends in biodiversity and ecosystem services // Urbanization, Biodiversity and Ecosystem Services: Challenges and Opportunities. Springer, Dordrecht, 2013. P. 31–52.

Nagne A.D. et al. Automatic extraction of built-up area from EO-1 hyperion hyperspectral satellite image based on NDBI Index // IJREAM International Journal for Research in Engineering Application & Management, Special Issue. 2018. P. 7–80.

Sahoo M.M., Patra K.C., Swain J.B., Khatua K.K. Evaluation of water quality with application of Bayes’ rule and entropy weight method // Eur. J. Environ. Civ. En. 2017. № 21. P. 730–752. 32. Xu F., Yan J., Heremans S., Somers B. Pan-European urban green space dynamics: A view from space between 1990 and 2015 // Landscape and Urban Planning. 2022. № 226. P. 104477. DOI: 10.1016/j.landurbplan.2022.104477.

Yu X. Problems and Countermeasures of Urban Ecological Civilization Construction in China // Low Carbon Economy. 2019. № 10. P. 1–10. DOI: 10.4236/lce.2019.101001.

Zhang Y., Zhou D., Li Z., Qi L. Spatial and temporal dynamics of social-ecological resilience in Nepal from 2000 to 2015 // Phys. Chem. Earth Parts A/B/C. 2020. № 120. P. 102894.

Zhou B.Z., Yang H., Bao H.S. PSR model and its application in the evaluation of sustainable land use in the region // Journal of Natural Resources. 2002. № 17 (5), P. 541–548.

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Published

2022-12-26

Issue

Section

Environmental problems of regional development

How to Cite

Giricheva E.E., Bocharnikov V.N., Fomin E.V. Assessment of Vladivostok urban environment quality using collection of indicators. (2022). Regional Research, 4 (78), 76-91. https://doi.org/10.5922/1994-5280-2022-4-7