Issue |
E3S Web Conf.
Volume 175, 2020
XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
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Article Number | 09017 | |
Number of page(s) | 8 | |
Section | Organic Farming and Soil Management | |
DOI | https://doi.org/10.1051/e3sconf/202017509017 | |
Published online | 29 June 2020 |
Approaches for evaluation of relief morphometric characteristics influence on spatial distribution of moisture in the soils of steppe part of Crimea
1
Research Institute of Agriculture of Crimea, Kievskaya, 150, 295453, Simferopol, Crimea, Russia
2
V.I.Vernadsky Crimean Federal University, Vernadskogo pr., 4, 295007, Simferopol, Crimea, Russia
3
Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya Str. 29, 195251, St.Petersburg, Russia
4
LLC «Bureau Hyperborea», Podvoisky ul., 40-2, 193312, St.Petersburg, Russia
* Corresponding author: coolhabit@yandex.ru
Data on soil moisture reserves are the basis for decision-making in the agricultural boghara system, because it determines the development of agricultural crops potential, terms of top-dressing and additional fertilizing, and makes it possible to predict yield of agricultural crops. In this article the influence of relief morphometric characteristics on the distribution of precipitation over the territory was studied. The research area is the land of the eastern part of Klepininsky rural settlement of Krasnogvardeysky district, the central part of Crimean Peninsula. The article considers approaches, divided into 2 main categories (according to the type of data used), based on the use of GIS capabilities and remote sensing data, to analyze the soil water content (SWC) using the example of research area and relationship of this parameter to the terrain relief. It was established that the morphometric characteristics of relief affect the amount of soil moisture.
© The Authors, published by EDP Sciences, 2020
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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