Mathematical Modeling of Human Activity on Forested Areas from Point Objects of Railway Infrastructure in a Two-Dimensional Statement; International Journal on Engineering Applications (IREA); Vol. 10, No. 1

Podrobná bibliografie
Parent link:International Journal on Engineering Applications (IREA)
Vol. 10, No. 1.— 2022.— [P. 15-28]
Hlavní autor: Baranovskiy N. V. Nikolay Viktorovich
Korporativní autor: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Научно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова)
Další autoři: Ignateva A. V. Anna Vladimirovna
Shrnutí:Title screen
Human activity causes a large quantity of wildfires in areas close to the location of different industrial or transport infrastructure. All the infrastructure facilities of JSC Russian Railways may be classified into linear, point and area sources of human activity. This work purpose is to suggest an approach for predicting, assessing, and monitoring the human activity on forested areas based on a deterministic mathematical model. Partial differential equations have been solved using the finite difference method. The program realization is executed in the RAD Studio software. Expressions like the heat conduction equation are used to describe the propagation of human activity around railway facilities. Different railway objects have produced different distribution of the virtual (possible) number of forest fires (VNF) caused by the different level of human activity. Different sizes of the railway facilities have also showed that a highest VNF is predicted for large one. The proposed mathematical model is applicable to predict wildfires due to human activity. This paper discusses the possibility of predicting forest fire dangers near point infrastructure facilities of JSC Russian Railways. The results obtained are part of a large project aimed to develop methods for predicting, assessing, and monitoring forest fire danger near infrastructure facilities of Russian Railways.
Jazyk:angličtina
Vydáno: 2022
Témata:
On-line přístup:https://doi.org/10.15866/irea.v10i1.21196
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668672

MARC

LEADER 00000naa0a2200000 4500
001 668672
005 20250224160824.0
035 |a (RuTPU)RU\TPU\network\39909 
035 |a RU\TPU\network\36337 
090 |a 668672 
100 |a 20230117d2022 k||y0rusy50 ba 
101 0 |a eng 
102 |a IT 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a Mathematical Modeling of Human Activity on Forested Areas from Point Objects of Railway Infrastructure in a Two-Dimensional Statement  |f N. V. Baranovskiy, A. V. Ignateva 
203 |a Text  |c electronic 
300 |a Title screen 
330 |a Human activity causes a large quantity of wildfires in areas close to the location of different industrial or transport infrastructure. All the infrastructure facilities of JSC Russian Railways may be classified into linear, point and area sources of human activity. This work purpose is to suggest an approach for predicting, assessing, and monitoring the human activity on forested areas based on a deterministic mathematical model. Partial differential equations have been solved using the finite difference method. The program realization is executed in the RAD Studio software. Expressions like the heat conduction equation are used to describe the propagation of human activity around railway facilities. Different railway objects have produced different distribution of the virtual (possible) number of forest fires (VNF) caused by the different level of human activity. Different sizes of the railway facilities have also showed that a highest VNF is predicted for large one. The proposed mathematical model is applicable to predict wildfires due to human activity. This paper discusses the possibility of predicting forest fire dangers near point infrastructure facilities of JSC Russian Railways. The results obtained are part of a large project aimed to develop methods for predicting, assessing, and monitoring forest fire danger near infrastructure facilities of Russian Railways. 
461 |t International Journal on Engineering Applications (IREA) 
463 |t Vol. 10, No. 1  |v [P. 15-28]  |d 2022 
610 1 |a труды учёных ТПУ 
610 1 |a электронный ресурс 
610 1 |a human activity 
610 1 |a mathematical model 
610 1 |a point source 
610 1 |a virtual number of forest fires 
610 1 |a forest fire danger 
610 1 |a railway 
610 1 |a активность 
610 1 |a математические модели 
610 1 |a точечные источники 
610 1 |a лесные пожары 
700 1 |a Baranovskiy  |b N. V.  |c specialist in electrical engineering  |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences  |f 1978-  |g Nikolay Viktorovich  |3 (RuTPU)RU\TPU\pers\34172  |9 17706 
701 1 |a Ignateva  |b A. V.  |g Anna Vladimirovna 
712 0 2 |a Национальный исследовательский Томский политехнический университет  |b Инженерная школа энергетики  |b Научно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова)  |3 (RuTPU)RU\TPU\col\23504 
801 0 |a RU  |b 63413507  |c 20230117  |g RCR 
856 4 |u https://doi.org/10.15866/irea.v10i1.21196 
942 |c CF