Open AccessEcological condition of the small rivers Ik and Syun in the Sharansky District of the Republic of Bashkortostan
Author(s) -
Elvina Rishatovfikova,
Aysylu Airatowna Islamova
Publication year - 2017
Publication title -
samarskij naučnyj vestnik
Language(s) - English
Resource type - Journals
eISSN - 2782-3016
pISSN - 2309-4370
DOI - 10.17816/snv201764111
Subject(s) - water quality , environmental science , water resource management , aquatic ecosystem , ecosystem , water resources , river ecosystem , drainage basin , geography , environmental protection , hydrology (agriculture) , ecology , cartography , biology , geotechnical engineering , engineering
Currently the negative impact of man on aquatic ecosystems is very noticeable. This, in the final analysis, was reflected in the change in the hydrological regime of rivers and lakes. Environmental conditions in many water bodies deteriorated sharply. There are also acute exacerbations of water management situations, deterioration of water use conditions due to the lack of scientifically based principles of nature management in the catchment area, and quantitative and qualitative depletion of water resources due to the combined impact of various sectors of the national economy The ecological state of water bodies largely depends on external influences, the magnitude of which should not exceed the permissible limits. In this case, the ecosystem maintains its stability. The paper deals with the assessment of the ecological state of rivers and their resistance to polluting effects, in particular, an assessment of the quality of the water of the Ik and Syun rivers in the Sharansky District of the Republic of Bashkortostan. Physico-chemical and organoleptic analyses of the rivers have been carried out. The research was conducted in September-May 2016-2017. The analysis of the water was carried out in the analytical laboratories of the Tuimazy inter-district branch of the FBU Center for Hygiene and Epidemiology in the Republic of Bashkortostan. The water quality in the river was estimated using the Mayer index.