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

Bibliografiske detaljer
Parent link:IOP Conference Series: Earth and Environmental Science
Vol. 43 : Problems of Geology and Subsurface Development.— 2016.— [012034, 5 p.]
Hovedforfatter: Savichev O. G. Oleg Gennadievich
Institution som forfatter: Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра гидрогеологии, инженерной геологии и гидрогеоэкологии (ГИГЭ)
Andre forfattere: 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.
Sprog:engelsk
Udgivet: 2016
Serier:Hydrogeochemistry and Hydrogeoecology
Fag:
Online adgang:http://dx.doi.org/10.1088/1755-1315/43/1/012034
http://earchive.tpu.ru/handle/11683/35142
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650838

MARC

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320 |a [References: 19 tit.] 
330 |a 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. 
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