Open AccessWater resource potential of agricultural lands of Omsk region
Author(s) -
Zh A Tusupbekov,
Victoria Nadtochiy,
Natalia Ryapolova,
N B Popova
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/954/1/012086
Subject(s) - agriculture , resource (disambiguation) , natural resource , environmental science , water resources , sustainability , natural (archaeology) , precipitation , distribution (mathematics) , water resource management , environmental resource management , natural resource economics , geography , ecology , meteorology , computer network , mathematical analysis , mathematics , archaeology , computer science , economics , biology
The basis for planning the activities of the agro-industrial complex and justifying their development in the future is the availability of natural resources. Water resources are an important component of the natural resource potential of the region, playing a key role in the development of an integrated agricultural economy. In determining the environmental sustainability of water bodies, the study of quantitative indicators of moisture resources and their spatial and temporal variability is of paramount importance. The correct presentation of resources and natural water reserves is the key to the successful development of economic sectors and the basis for the geo-ecological substantiation of the territory. A feature of the water resource potential of the Omsk region is the uneven distribution of atmospheric humidification over the territory, which, together with seasonal and long-term fluctuations, can serve as the basis for the manifestation of negative consequences of water. The paper analyzes the alternation of wet and dry years in the long-term period and their influence on the moisture content of the territory. Based on abbreviated summary curves, the duration of periods of continuous dry and wet years are shown, and the trend of long-term changes in the amount of precipitation in the study area.