scholarly journals FOREST FIRES IN KARELIA: CURRENT SITUATION IN THE CONTEXT OF THE NATURAL CONDITIONS IN VARIOUS GEOGRAPHIC LANDSCAPES

2021 ◽  
pp. 36
Author(s):  
Андрей Николаевич Громцев ◽  
Мария Сергеевна Левина ◽  
Юрий Владимирович Преснухин ◽  
Andrey Gromtsev ◽  
Maria Levina ◽  
...  
Keyword(s):  
Forest Fires ◽  
Current Situation ◽  
Natural Conditions

scholarly journals Analysis on Survey Data of Special Physical Training for Skiers in Summer Training Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Zheng Jinhui ◽  
Wang Sheng ◽  
Zheng Jinhong ◽  
Cai Guoliang ◽  
Cai Zhiqiang ◽  
...  
Keyword(s):  
Big Data ◽  
Survey Data ◽  
Physical Training ◽  
Current Situation ◽  
Training Effect ◽  
Natural Conditions

Due to the geographical and natural conditions, the development of skiing events is more resistant in China, and the training venues, methods, and concepts are insufficient, making it difficult for Chinese skiers to make some progress and aspire to the highest peak in this field. The purpose of this study is to explore and analyze the survey data of the professional physical training of skiers in summer training based on big data. Big data is employed to investigate and analyze the special physical training of skiers in summer training. Based on the data of professional physical training of skiers in summer training under big data, the current situation of skiers in summer training is examined, and the limitations are compared to improve the traditional physical training of skiers. Results show that the special physical training of skiers based on big data is more feasible in summer training, and the improvement of training effect is more obvious than traditional physical training. The training effect of the proposed method can more effectively solve the difficulties in summer training for skiers and understand the essentials of the action.

BROADLEAVED TREE TRUNKS CHARRING DURING FOREST FIRES WITHIN THE UKRAINIAN ROZTOCHYA

Fire Safety ◽  
2021 ◽  
Vol 37 ◽  
pp. 58-63
Author(s):  
V. Popovych ◽  
A. Hapalo ◽  
O. Bashinsky
Keyword(s):  
Forest Fires ◽  
Flame Temperature ◽  
Combustion Products ◽  
Acer Platanoides ◽  
Natural Ecosystems ◽  
Natural Conditions ◽  
Burning Zone ◽  
Broadleaved Tree ◽  
Flammable Material ◽  
Vegetation Burning

Introduction. On the territory of Ukrainian Roztochya and Male Polissya (Zhovkva part of Roztochya included) fires often occur in natural ecosystems – forest fires, meadow vegetation burning, stubble, landfills, and peatlands. Such fires, in addition to the destruction of property, cause significant emissions of incomplete combustion products and smoke into the air. Charring of broadleaved species, along with conifers, needs more detailed research, as the territory of the Ukrainian Roztochya is dominated by hornbeam-oak-pine, mixed oak, and beech forests.Aim. The object of the paper is to investigate the degree of tree trunks charring of the main forest-forming species in the Ukrainian Roztochya during forest fires based on experimental data.Research methods. Freshly cut trees were exposed to heating for 10 minutes, at periods of 1 minute, 3, and 5 minutes, checking the degree of damage to the trunk (charring, mm). Repeatability of the experiment – three times. Basing on received data the charring of broadleaved tree trunks in the Ukrainian Roztocze was determined. The flame temperature was measured by a GM1150A non-contact pyrometer. The level of burnout was measured by a ruler made following GOST 17435-72. A stopwatch was used to record the time of burning. Results and discussion. The experiments were performed in the fresh air under close-to-natural conditions. The fire source was an artificial open flame. Freshly cut tree trunks were installed vertically, right in the burning zone. Cutting residues, fallen dry leaves, straw, dry grass was used as flammable material. It was found that the lowest degree of charring is inherent to oak, which has burned by 38 mm during 10 minutes (with log thickness of 124 mm). Species such as hornbeam and maple completely burned out in 10 minutes (in diameters of 129 mm and 140 mm).Conclusions. Investigations of temperature effects on the main forest-forming species of the region have shown that they all differ in charring during forest fires. Three species grown in Ukrainian Roztochya were selected – hornbeam (Carpinus betulus), oak (Quercus robur), and maple (Acer platanoides). To prevent fires in forests, fire lanes should be planned with oak plantations on the edge of the forest.

scholarly journals AN UNSUPERVISED METHOD BASED ON FIRE INDEX ENHANCEMENT AND GRNN FOR AUTOMATED BURNED AREA MAPPING FROM SINGLE-PERIOD REMOTE SENSING IMAGERY

2021 ◽  
Vol V-3-2021 ◽  
pp. 37-42
Author(s):  
Q. Zhang ◽  
Y. Xiao
Keyword(s):  
Remote Sensing ◽  
Forest Fires ◽  
Current Situation ◽  
General Regression Neural Network ◽  
Burned Area ◽  
Area Index ◽  
Remote Sensing Imagery ◽  
Burned Areas ◽  
Unsupervised Method ◽  
Burned Area Mapping

Abstract. In the current situation of frequent forest fires, the study of forest burned area mapping is important. However, there is still room for improvement in the accuracy of existing forest burning area mapping methods. Therefore, in this paper, an unsupervised method based on fire index enhancement and GRNN (General Regression Neural Network) is proposed for automated forest burned area mapping from single-date post-fire remote sensing imagery. The proposed method first uses adaptive spatial context information to enhance the generated fire index to improve its ability to indicate the burned areas. Then the uncertainty analysis is performed on the enhanced fire index to extract reliable burned samples and non-burned samples for subsequent classifier training. Finally, the improved GRNN model considering the spatial correlation of pixels is used as a classifier to binarize the enhanced fire index to generate the final burned area map. Based on two commonly used fire indexes, NBR (Normalized Burn Ratio) and BAI (Burned Area Index), this paper conducts burned area mapping experiments on a post-fire image of a forest area in Inner Mongolia, China to test the effectiveness of the proposed method, and two commonly used threshold methods (Otsu and Kmeans clustering) are also used to conduct burned area mapping based on threshold segmentation of fire index for comparison experiments. The experimental results prove the effectiveness and superiority of the proposed method. The proposed method is unsupervised and automated, so it has high application value and potential under the current situation of frequent forest fires.

Beetles sniff out forest fires

Nature ◽  
1999 ◽  
Author(s):  
Henry Gee
Keyword(s):  
Forest Fires

Recommendations for Medical Informatics Training in The Netherlands

1994 ◽  
Vol 33 (03) ◽  
pp. 308-311 ◽  
Author(s):  
A. Hasman
Keyword(s):  
The Netherlands ◽  
Medical Informatics ◽  
Education And Training ◽  
Current Situation ◽  
Arts And Sciences ◽  
Informatics Training ◽  
Royal Netherlands Academy ◽  
And Training

Abstract:In this contribution recommendations for education and training in Medical Informatics as they have been formulated end 1987 by the Subcommittee Medical Informatics of the Royal Netherlands Academy of Arts and Sciences are described. The current situation of education and training is presented and compared with the recommendations. It is concluded that not all recommendations have yet been followed up.

Sign in / Sign up

Export Citation Format

Share Document