Planning and design of pine forest vegetation and dynamic monitoring method for recovery process in earthquake-stricken areas

The following paper deals with the ecological and coenotical structure of the Regional Natural Monument Chelyabinsk city pine forest vegetation. The estimation was done by a cluster analysis with Sorensen-Chekanovsky (Bray-Curtis) distance measure and a flexible beta group linkage method - by non-metric multidimensional scaling, phytoindication and general discriminant analysis algorithms. The flora and coenotical structure of Chelyabinsk city pine forest plant communities are characterized by significant anthropogenic transformation. Forest-margin and meadow, ruderal and synanthropic species are insinuating and naturalizing in pine forest communities actively and supplanting typical pine forest species off communities. The studied pine forest flora synanthropic index is 32 percent. 15 plant associations were detected; its flora, dominant and constant species, coenotical structure and biotopes were characterized by principal ecological factors. The biotopes series of ecological factors replacement were identified. Biotopes series are specified by forest stand ecological structure, that determining ecological regime changes from semi-light to semi-shade and from more arid to more damp. Also biotopes form series from wet more variable moistening bad-aerated not-acid and salt enriched soils to acid aerated poor soils with contrast arid moistening. The detected Chelyabinsk city pine forest biotopes are characterized by not so fluctuation of principal ecological factors.

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CircumMed Pine Forest Database: an electronic archive for Mediterranean and Submediterranean pine forest vegetation data

Phytocoenologia ◽

10.1127/phyto/2019/0311 ◽

2019 ◽

Vol 49 (3) ◽

pp. 311-318 ◽

Cited By ~ 2

Author(s):

Bonari Gianmaria ◽

Ilona Knollová ◽

Pavla Vlčková ◽

Fotios Xystrakis ◽

Süleyman Çoban ◽

...

Keyword(s):

Pine Forest ◽

Forest Vegetation ◽

Electronic Archive

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Forest typological and phytosozological assessment of forest vegetation of Slobozhansky National Park

Balanced nature using ◽

10.33730/2310-4678.4.2020.226651 ◽

2020 ◽

pp. 157-168

Author(s):

O. Bezrodnova ◽

I. Tymochko ◽

І. Solomakha ◽

О. Chornobrov ◽

H. Bondarenko

Keyword(s):

Pinus Sylvestris ◽

National Park ◽

Quercus Robur ◽

Conservation Status ◽

Alnus Glutinosa ◽

Pine Forest ◽

Forest Vegetation ◽

Left Bank ◽

Forest Types ◽

Oak Wood

Forest typological and phytososological biodiversity of forest vegetation of Slobozhansky National Park is shown. The park covers 5244 hectares and includes the main parts of the run off valleys of the left-bank Merla River tributary, which belongs to the Vorskla River basin in the Kharkiv region. The main forest-forming species of the Slobozhansky National Nature Park are Pinus sylvestris L. (2779.3 hectares, 59.84%), Quercus robur L. (1451.8 hectares, 31.26%). Minor areas are occupied by Betula pendula Roth (138.3 hectares, 2.98%), Alnus glutinosa (L.) P. Gaertn. (122.5 hectares, 2.64%), Populus tremula L. (45.0 hectares, 0.97%) and other species. Areas covered with forest vegetation are represented by 16 edatopes: all trophotope and almost all hygrotopes, except very dry. Among the trophotopes subors (2015.2 hectares, 43.39%), oak wood (1504.4 hectares, 32.39%) and sugruds (1042.2 hectares, 22.44%) predominate, and the part of pine forest is insignificant (82.5 hectares, 1.78%). Among hygrotopes, the majority are with fresh conditions (4060.6 hectares, 87.43%), much smaller areas are dry (268.4 hectares, 5.78%), damp (184.3 hectares, 3.97%), moist (124.4 hectares, 2.68%) and wet (6.6 hectares, 0.14%) conditions. There are 17 types of forests in the Slobozhansky National Park areas covered with forest vegetation. Fresh oak-pine forest (1780.6 hectares, 38.35%), fresh maple-linden forest (1453.6 hectares, 31.30%), fresh linden-oak-pine sugrud (756.8 hectares, 16.30%) are dominated. Pinus sylvestris plantations grow in 10 forest types. The most common types of pine forests are fresh oak-pine and fresh linden-oak-pine sugrud. Quercus robur growth in 7 forest types, the most common of which is fresh maple-linden oak wood. The distribution of forest typological differences on the territory of the park of vascular plants rare species populations, which have different sozological status is analyzed. Annex I to Resolution 6 of the Berne Convention includes the following species: Dracocephalum ruyschiana L., Jurinea cyanoides (L.) Rchb., Iris pineticola Klokov. A number of species have the appropriate conservation status in Ukraine (Diphasiastrum complanatum (L.) Holub, Lycopodium annotinum L., Dracocephalum ruyschiana, Pulsatilla pratensis (L.) Mill. Sl, Allium ursinum L., Iris furcata M. Bieb., Iris pineticola, Fritillaria meleagris L., F. ruthenica Wikstr., Tulipa quercetorum Klokov & Zoz, Epipactis helleborine (L.) Crantz, Listera ovata (L.) R. Br., Neottia nidus-avis (L.) Rich., Platanthera bifolia (L.) Rich., Stipa borysthenica Klokov ex Prokudin) and 22 species at the regional range.

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DYNAMIC MONITORING METHOD OF ILLEGAL BUILDINGS USING SPATIOTEMPORAL BIG DATA BASED ON URBAN HIGH LYING ZONES

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w10-17-2020 ◽

2020 ◽

Vol XLII-3/W10 ◽

pp. 17-23

Author(s):

B. S. Li ◽

Z. C. Tan

Keyword(s):

Dynamic Analysis ◽

Real Time ◽

Wireless Transmission ◽

Dynamic Monitoring ◽

Network Technology ◽

Urban Management ◽

Service Network ◽

Monitoring Method ◽

Urban Dynamic

Abstract. China's urban illegal buildings are emerging in an endless stream with a large number. There is a wide demand for urban illegal buildings monitoring in urban management departments, including Beijing, Shanghai, Guangzhou and other regions where urban management is facing increasingly serious problems of illegal buildings. It is urgent to solve the common problem of "urban disease" caused by urban illegal buildings, and a new automatic monitoring method that can reduce the cost of urban management is urgently needed. This kind of automated monitoring method of illegal buildings has a wide market demand in Urban Management and Law Enforcement and the Ministry of Land and Resources. Existing technologies cannot realize long-term, autonomous, rapid and intelligent dynamic real-time monitoring of urban illegal buildings, which leads to the problem that illegal buildings’ behaviors cannot be stopped in time. There is a possibility to solve these problems using the ubiquitous network of base stations in cities to monitor illegal buildings.This paper proposes a dynamic monitoring method of illegal buildings using spatiotemporal big data based on urban high lying zones. Through the Spatiotemporal sensor network technology, the tilt-type stereo camera is set up at the high lying zones around the survey area. According to the real-time ambient temperature and humidity numerical data fed back by the temperature and humidity sensor, the tilt-type stereo camera uses intelligent time-lapse photogrammetry technology to obtain multiple stereo pairs. The tilted remote sensor transmits the multiple stereo pairs to the urban dynamic analysis service network using wireless transmission. The urban dynamic analysis service network will complete a series of analysis and processing operations without any human intervention, and then transmit the results of the analysis to the early-warning terminal successively through the base station, WIFI and other wireless transmission methods. Finally, the illegal building data is uploaded to the terminal. That is to say, the urban dynamic analysis service network can realize the intelligent, automatic analysis and processing of spatial analysis server and the operation of calling all database data and storing data.The method proposed in this paper uses the high lying zones around the survey area to expand the monitoring range, improve the accuracy of monitoring data, realize long-term real-time monitoring, and fully utilize the characteristics of Spatiotemporal sensing network technology intelligent, autonomous, wireless transmission, etc., significantly reducing labor. It greatly shortens the process from the emergence to the discovery of illegal buildings in cities. The workload of monitoring has improved the efficiency of dynamic monitoring and warehousing of illegal buildings data in cities.

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Dynamic Monitoring Method of Coconut Red Ring Disease based on Apriori Algorithm

International Journal of Performability Engineering ◽

10.23940/ijpe.19.12.p25.33223331 ◽

2019 ◽

Vol 15 (12) ◽

pp. 3322

Author(s):

Heng Xiao ◽

Srivastava Gautam

Keyword(s):

Dynamic Monitoring ◽

Apriori Algorithm ◽

Monitoring Method

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Classification of the Mediterranean lowland to submontane pine forest vegetation

Applied Vegetation Science ◽

10.1111/avsc.12544 ◽

2020 ◽

Author(s):

Gianmaria Bonari ◽

Federico Fernández‐González ◽

Süleyman Çoban ◽

Tiago Monteiro‐Henriques ◽

Erwin Bergmeier ◽

...

Keyword(s):

Pine Forest ◽

Forest Vegetation ◽

The Mediterranean

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Research on Health Monitor for Three-Dimensional Braided Composite Material

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.48-49.1389 ◽

2011 ◽

Vol 48-49 ◽

pp. 1389-1394

Author(s):

Yi Li ◽

Zhen Kai Wan ◽

Jia Lu Li

Keyword(s):

Composite Materials ◽

Health Monitoring ◽

Three Dimensional ◽

Dynamic Monitoring ◽

Monitoring Methods ◽

Braided Composites ◽

Monitoring Method ◽

Braided Composite ◽

3D Braided Composites ◽

Health Monitor

This paper describes two methods of Fiber Bragg Grating (FBG) embedded in the three-dimensional (3D) braded composite materials and acoustic emission health monitor for 3D braided composite materials condition. The paper mainly analyses the relations of FBG change and the inner straining under the stretching on materials. It is provided that the way of signal collection and processing. The experimental results proved that FBG sensors have exceptional sense characteristic. The braided angle of composites has a little influence on FBG signal. FBG embedded in the 3D braided composite materials has not more effect mechanical property of materials. According to two health monitoring methods and the particularity of 3D braided composites, the health monitoring method based on FBG much more applies to dynamic monitoring on 3D composites special field. This research provides basis for the study and application of advanced intelligent composites.

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