Technologies of Physical Monitoring and Mathematical Modeling for Estimation of Ground Forest Fuel Fire Condition; European Physical Journal Web of Conferences (EPJ Web of Conferences); Vol. 110 : Thermophysical Basis of Energy Technologies

Manylion Llyfryddiaeth
Parent link:European Physical Journal Web of Conferences (EPJ Web of Conferences)
Vol. 110 : Thermophysical Basis of Energy Technologies.— 2016.— [01006, 6 p.]
Prif Awdur: Baranovskiy N. V. Nikolay Viktorovich
Awdur Corfforaethol: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ)
Awduron Eraill: Bazarov A. V. Alexandr
Crynodeb:Title screen
Description of new experimental installations for the control of parameters of environment with a view of monitoring of forest fires presented in article. Stationary and mobile variants developed. Typical results of operation of installations during a fire-dangerous season of 2015 in vicinities of Ulan-Ude (Republic Buryatiya, Russia) presented. One-dimensional mathematical model of forest fuel drying which can be used for monitoring of forest fire danger with attraction of environmental parameters data during fire-dangerous season offered. Verification of mathematical model with use of known experimental data spent.
Iaith:Saesneg
Cyhoeddwyd: 2016
Pynciau:
Mynediad Ar-lein:http://dx.doi.org/10.1051/epjconf/201611001006
http://earchive.tpu.ru/handle/11683/33394
Fformat: Electronig Pennod Llyfr
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=647634

MARC

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330 |a Description of new experimental installations for the control of parameters of environment with a view of monitoring of forest fires presented in article. Stationary and mobile variants developed. Typical results of operation of installations during a fire-dangerous season of 2015 in vicinities of Ulan-Ude (Republic Buryatiya, Russia) presented. One-dimensional mathematical model of forest fuel drying which can be used for monitoring of forest fire danger with attraction of environmental parameters data during fire-dangerous season offered. Verification of mathematical model with use of known experimental data spent. 
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