The nonlinear effects based on peat chronology data in paleoclimatic reconstructions; IOP Conference Series: Earth and Environmental Science; Vol. 43 : Problems of Geology and Subsurface Development

Detalles Bibliográficos
Parent link:IOP Conference Series: Earth and Environmental Science
Vol. 43 : Problems of Geology and Subsurface Development.— 2016.— [012034, 5 p.]
Autor Principal: Savichev O. G. Oleg Gennadievich
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра гидрогеологии, инженерной геологии и гидрогеоэкологии (ГИГЭ)
Outros autores: Reshetko M. V. Margarita Viktorovna, Moiseeva Yu. A. Yuliya Aleksandrovna
Summary:Title screen
The simplified mathematical model of peat deposits growth is suggested based on assuming the swamp is a thermodynamics system Its validation was performed according to the data of the swamps in Siberia It is shown that the peat deposits growth is nonlinear related to climate change Therefore, for the appropriate methods applying in paleoclimatic reconstructions is expedient to establish the optimal values of functioning particular bio- and ecosystem in natural conditions that determine the most probable existence of life forms of biological species.
Idioma:inglés
Publicado: 2016
Series:Hydrogeochemistry and Hydrogeoecology
Subjects:
Acceso en liña:http://dx.doi.org/10.1088/1755-1315/43/1/012034
http://earchive.tpu.ru/handle/11683/35142
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650838
Descripción
Summary:Title screen
The simplified mathematical model of peat deposits growth is suggested based on assuming the swamp is a thermodynamics system Its validation was performed according to the data of the swamps in Siberia It is shown that the peat deposits growth is nonlinear related to climate change Therefore, for the appropriate methods applying in paleoclimatic reconstructions is expedient to establish the optimal values of functioning particular bio- and ecosystem in natural conditions that determine the most probable existence of life forms of biological species.
DOI:10.1088/1755-1315/43/1/012034