Estimation of Spring Runoff Characteristics of Lowland Rivers in Kazakhstan

Autor:	Dinara Arystambekova, Aleksandr Chigrinets, S. K. Davletgaliev, Daulet Jussupbekov, Ainur Mussina
Rok vydání:	2017
Předmět:	Hydrology geography geography.geographical_feature_category Flood myth General Neuroscience Drainage basin Context (language use) Runoff curve number Runoff model Spring (hydrology) 100-year flood Environmental science Surface runoff General Environmental Science
Zdroj:	Journal of Environmental Management and Tourism. 8:195
ISSN:	2068-7729
DOI:	10.14505//jemt.v8.1(17).19
Popis:	This paper considers the methods and results of determining statistical parameters for spring flood runoff by the main lowland river basins of Kazakhstan for the long-term period. It presents a series of observations made for the long-term period, determines statistical parameters for the depth of spring flood runoff as well as constructs the probability curves of the depth of spring flood runoff by study areas. The paper also gives an estimation of the probability values of the depth of spring flood runoff for the calculation period and for the last period of runoff formation in the context of ongoing climate change. These characteristics are determined by four river basins belonging to the lowland territory of Kazakhstan.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2e49468a262adb6d5a1a9e028ce02d27 https://doi.org/10.14505//jemt.v8.1(17).19 Zobrazit plný text záznamu