Assessment of the Uncertainty for the Spatial Distribution of Lightning Discharge Density Based on the Smoothed Bootstrap Procedure and WWLLN Data: a Case Study; International Journal on Engineering Applications (IREA); Vol. 10, No. 2

Assessment of the Uncertainty for the Spatial Distribution of Lightning Discharge Density Based on the Smoothed Bootstrap Procedure and WWLLN Data: a Case Study

書誌詳細
Parent link:International Journal on Engineering Applications (IREA)
Vol. 10, No. 2.— 2022.— [P. 138-148]
団体著者: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Научно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова)
その他の著者: Belikova M. Yu. Marina Yurjevna, Baranovskiy N. V. Nikolay Viktorovich, Karanin A. V. Andrey Vladimirovich, Karanina S. Yu. Svetlana Yurjevna, Skrypnik A. N. Artem Nikolaevich
要約:Title screen
Thunderstorm activity is the most common natural cause of forest fires. Such forest fires can affect the functioning of industrial and infrastructure facilities. An effective application of the deterministic-probabilistic approach is possible if there is a set of initial data, including cloud-to-ground lightning discharges. It is especially important to understand the boundaries of uncertainty in determining the spatial distribution of the density of lightning discharges in a controlled forest-covered area. The aim of this work is to develop a procedure for assessing the uncertainty of the spatial distribution of lightning discharge density using a smoothed bootstrap algorithm and World Wide Lightning Location Network (WWLLN) data. The novelty of the work is due to the use of WWLLN data in combination with bootstrap algorithm in order to assess uncertainty of spatial distribution of lightning activity. The main findings are: 1) algorithm of bootstrap procedure to assess uncertainty in lightning discharge density within spatial distribution; 2) program realization of this algorithm using QGIS and GRASS software; 3) case study results for the typical boreal zone, namely, Republic of Buryatia (Russian Federation). Conclusions based on the results of bootstrap assessment of lightning discharge density uncertainty are presented regarding spatial distribution of lightning discharges. These results are applicable for forest fire danger prediction in lightning activity conditions.
言語:英語
出版事項: 2022
主題:
труды учёных ТПУ
электронный ресурс
assessment
lightning discharge
WWLLN
forest fire danger
Bootstrap
uncertainty
молния
лесные пожары
オンライン･アクセス:https://doi.org/10.15866/irea.v10i2.20850
フォーマット: 電子媒体 図書の章
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668674

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