A Complex Approach for the Estimation of Carbonaceous Emissions from Wildfires in Siberia

Панов, А. В.; Prokushkin, Anatoly; Bryukhanov, A. V.; Korets, Mikhail; Пономарев, Е. И.; Sidenko, Nikita; Zrazhevskaya, G. K.; Тимохина, А. В.; Andreae, M. O.

doi:10.3103/s1068373918050035

Cited by 9 publications

(9 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Иркутская область больше любого западноевропейского государства и по территории сопоставима с Турцией -780 580 км 2 За период с 1 января по 26 августа 2019 г. в Иркутской области зарегистрировано более 1 тыс. лесных пожаров 1 , общая площадь которых превысила 1 млн га, что сопоставимо с площадью таких стран, как Ямайка (10,9 тыс.…”

Section: Mathematical Model Of Fight Against Forest Fires In Terms Ofunclassified

“…Совершенно очевидно, что в результате столь значительных пожаров происходят огромные потери природных ресурсов, что, в свою очередь, приводит к экологическим, экономическим и социальным последствиям [1][2][3][4]. Так, установлено, что во время интенсивного горения тайги концентрация угарного газа по сравнению с его фоновым содержанием в воздухе повышается почти в 30 раз, метана -в 2 раза, углекислого газа -на 8 % [2], что вызывает ухудшение здоровья жителей Иркутской области [3]. Кроме этого, из-за ежегодных масштабных лесных пожаров, полыхающих рядом с Байкалом, в воду озера попадают химические компоненты (например, аммоний), которые способствуют размножению различных микроорганизмов, разрушающих экосистему Байкала.…”

Section: Mathematical Model Of Fight Against Forest Fires In Terms Ofunclassified

“…219 УК РФ), уничтожение или повреждение лесных насаждений (ст. 261 УК РФ) 2 . И хотя в уголовном законодательстве отсутствует определение термина «пожар», для исследований в области криминологии ученые нередко используют термин «криминальный пожар».…”

Section: пример 4 значения параметров задачиunclassified

See 2 more Smart Citations

Mathematical Model of Fight Against Forest Fires in Terms of Irkutsk Oblast: Computational Experiments in Terms of the Julia Language

Sukhodolov

Sorokina

Lebedeva

2019

Bulletin of Baikal State University

View full text Add to dashboard Cite

Forest fires extremely undermine the environment, cause serious damage to the forests, wildlife resources and national economy of the country. The issues of fight against forests fires and their prevention are especially important for Eastern Siberia with its huge spaces, low population density and poor development of the road network on the taiga territories. Organizing and delivering largescale fire prevention activities entails enormous financial and material and technical resources Therefore, ecological-mathematical modeling of situations arising from countering forest fires becomes relevant. The purpose of investigations of such models is to develop a fire fighting strategy that would ensure an acceptable environmental level and, at the same time, be economically effective. This article pays attention to solving the problem of optimal control of forest fire fighting, the prototype of which is the well-known model by G.M. Parks. To analyze the model, the modern programming language Julia is used, which is designed to perform mathematical calculations and numerical investigations. It mostly designed for mathematical calculations and numerical analysis of various problems. Irkutsk Oblast has been chosen as a model territory of research.

show abstract

Section: Mathematical Model Of Fight Against Forest Fires In Terms Ofunclassified

Section: пример 4 значения параметров задачиunclassified

See 1 more Smart Citation

Mathematical Model of Fight Against Forest Fires in Terms of Irkutsk Oblast: Computational Experiments in Terms of the Julia Language

Sukhodolov

Sorokina

Lebedeva

2019

Bulletin of Baikal State University

View full text Add to dashboard Cite

show abstract

“…Estimates of the variability of relative soot content in atmospheric aerosol are important for the modernization of both empirical aerosol models and climatic estimates [3,5]. In addition, due to air currents, soot moves over long distances and settles on any underlying surface, reducing its reflectivity, which can cause, for example, additional snow melting and water evaporation [6].…”

Section: Introductionmentioning

confidence: 99%

Research of the Aerosol Optical and Microphysical Characteristics of the Atmosphere over the Black Sea Region by the FIRMS System during the Forest Fires in 2018–2019

Kalinskaya¹,

Papkova²,

Kabanov³

2020

PhO

View full text Add to dashboard Cite

Purpose. The Black Sea region where the forest fires were recorded by the FIRMS system, as well as the atmosphere above it, namely the fire-induced variation of the atmospheric aerosol basic optical characteristics, were the main objects of the investigation. The study is aimed at examining the fires in the Black Sea region in 2018–2019 for assessing correlation between these events and variability of the basic optical characteristics over the Black Sea. Methods and Results. Based on the FIRMS system data, variations of intensity of the fire-induced radiation were studied. The results of statistical processing of the MODIS and VIIRS satellite data on the fires in 2018–2019 were represented. For the dates when the fire numbers were the highest in the Black Sea region, the basic optical and microphysical characteristics of the atmospheric aerosol were analyzed due to the SPM and AERONET data. The dates when the fire intensity was particularly high (based on the MODIS and VIIRS data) were analyzed and compared with the dates when the anomalous values of the atmospheric aerosol optical characteristics were recorded over the region under study. Conclusions. For the fire events in the Black Sea region revealed due to the MODIS and VIIRS data, complex analysis of the air mass transfer was performed by the model HYSPLIT, and the aerosol was typed by the CALIPSO algorithm. On June 22, 2019 the most intense fires were recorded. According to the aerosol typing by the CALIPSO algorithm, on this day the predominant aerosol types were the contaminated dust and smoke. Using the MODIS and VIIRS data, investigation of possible source of the aerosol transfer on this date showed that the area of intense inflammationn and smoke was located to the northeast from the Black Sea region. Since the satellite-derived data on this day showed no dust transfer either from the Sahara or the Syria deserts, it is possible to conclude that increase of the values of aerosol optical depth АОD (500) was conditioned by transfer of the aerosol resulted from biomass burning from the north to the Black Sea region.

show abstract

“…Totally, in Siberia and the Far East, forest fires are burning in the area comparable to Belgium. Of course, such an essential loss of natural resources leads to negative environmental, economic and social consequences [1][2][3]. For instance, in the work [2] it was established that during intensive burning of the taiga, the concentration of carbon monoxide increases by almost 30 times in comparison with the background content in the air, methane by 2 times, carbon dioxide in 8%.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of ecology-economic model for forest fire fighting in Baikal region

Sukhodolov

Петрович²,

Sorokina

et al. 2019

Discrete and Continuous Models

View full text Add to dashboard Cite

Forest fires lead to the serious damage of ecological state and national economy of the country. This problem is especially relevant for Siberians. According to Greenpeace, Siberian forest fires in 2019 reached record levels in the entire history of observation in terms of burning area and the amount of carbon dioxide emitted into the atmosphere. It leads not only to a deterioration in the health of Siberians, but also to environmental problems of the region. Note that the large-scale fire-prevention measures entails enormous financial costs. Therefore, economical, ecological and mathematical modeling of the situations, arose in forest fires countering, becomes actual.The paper is devoted to optimal control problem of forest fires fighting. Its prototype is the well-known Parks model. To investigate the model, we apply the modern programming language Julia, which is designed to mathematical calculations and numerical studies. We made an extensive computational experiment in this model and a numerical analysis of corresponding optimal control problems. The obtained results were examined both on the adequacy of the model, and on the possibility of using the Julia language and the included solvers of mathematical problems.

show abstract

A Complex Approach for the Estimation of Carbonaceous Emissions from Wildfires in Siberia

Cited by 9 publications

References 7 publications

Mathematical Model of Fight Against Forest Fires in Terms of Irkutsk Oblast: Computational Experiments in Terms of the Julia Language

Mathematical Model of Fight Against Forest Fires in Terms of Irkutsk Oblast: Computational Experiments in Terms of the Julia Language

Research of the Aerosol Optical and Microphysical Characteristics of the Atmosphere over the Black Sea Region by the FIRMS System during the Forest Fires in 2018–2019

Numerical analysis of ecology-economic model for forest fire fighting in Baikal region

Contact Info

Product

Resources

About