E3S Web Conf.
Volume 244, 2021XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|Number of page(s)||9|
|Section||Energy Efficiency Improvement|
|Published online||19 March 2021|
Spatial geoecological modeling of the natural-agrarian potential of the region landscapes
1 A.F. Mozhaysky’s Military-Space Academy, Zhdanovskaya Naberezhnaya, 13, St. Petersburg, 197198, Russian Federation
2 St. Petersburg State Agrarian University, Peterburgskoe shosse, 2, St. Petersburg-Pushkin, 196601, Russian Federation
3 Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya, 29, St. Petersburg, 195251, Russian Federation
4 Agrophysical Research Institute, Grazhdansky pr., 14, St. Petersburg, 195220, Russian Federation
5 LLC «Gazprom pererabotka Blagoveshchensk», p. Gazoprovod, p. Sosenskoe, Moscow, 108814, Russian Federation
* Corresponding author: firstname.lastname@example.org
The article describes the scientific and methodological foundations of spatial geoecological modeling of the natural and agricultural potential of the region’s landscapes, the theoretical basis of which is the methodology of multiparameter analysis of complex objects, implemented in the form of two methods: summary indicators and randomized summary indicators. The essence of modeling is in mathematical-cartographic spatial analysis in the GIS environment of the favorableness of natural landscapes for environmentally friendly agricultural production. It is based on the principles of consistency, priority of the assessed indicators, continuity, regionality, emergence, scale, visibility of the display of results. During the development of the scientific and methodological foundations, the following methods of geographical research were used: ranking the properties of landscapes by their impact on the natural and agricultural potential, building model-classifications for assessing the natural-agricultural potential, convolution of multi-parameter information in conditions of information deficit. The developed method includes six blocks. The method has been tested in the Leningrad Region. The results of approbation do not contradict the data of other researchers obtained for the studied region. The developed method can be applied in land management and territorial planning.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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