scholarly journals Spatial Diversity of Cloud-to-Ground Lightning Flashes in the Kujawsko-Pomorskie Voivodeship (Poland), 2002-2019

2021 ◽  
Vol 95 (1) ◽  
pp. 5-23
Author(s):  
Sławomir Sulik ◽  
Marek Kejna
Keyword(s):  
Detection System ◽  
Grid Cell ◽  
Spatial Diversity ◽  
Electrical Storm ◽  
Annual Number ◽  
Storm Activity ◽  
North West ◽  
Vistula River ◽  
Lightning Discharges ◽  
Atmospheric Discharges

This research focuses on the spatial diversity of cloud-to-ground (CG) flashes in the Kujawsko-Pomorskie voivodeship (Poland) based on data from the PERUN lightning detection system, 2002-2019. The storm season usually lasts from May to September, with July having the highest number of thunderstorms days and flashes. Thunderstorms most often occur in the afternoon. A generated grid of 5×5-km cells was used to characterise the variables related to CG flashes. In the analysed period 432,925 CG flashes were detected in the voivodeship (24,051 flashes year-1). The highest electrical activity was found in the south-eastern part of the province. In grids with a large water surface, the number of CG flashes was small and increased with distance from the Vistula River. The distribution of atmospheric discharges in major cities of the region (Bydgoszcz, Toruń, Włocławek and Grudziądz) was random. Years with greater electrical storm activity (27,614 discharges in 2017) are interspersed with calmer years (5000-7000 discharges). There were found an upward trend in lightning discharges (of 1681 discharges year-1) during period 2002-2019. To develop maps specifying the number of thunderstorm days, a 1×1-km grid cell was used with a 15-km radius buffer from the bin centre. The annual number of thunderstorm days in the voivodeship fluctuates from 27 to 41 days and increases from north-west to south-east. Consecutive days with a thunderstorm, the most common runs are of three days in a row with a storm. The number of thunderstorm days shows an increasing trend (0.82 days year-1). This trend is related to the increase in air temperature in the storm season (Apr-Sept) reaching (0.04°C/year).

scholarly journals A Climatology of Thunderstorms across Europe from a Synthesis of Multiple Data Sources

2019 ◽  
Vol 32 (6) ◽  
pp. 1813-1837 ◽  
Author(s):  
Mateusz Taszarek ◽  
John Allen ◽  
Tomáš Púčik ◽  
Pieter Groenemeijer ◽  
Bartosz Czernecki ◽  
...  
Keyword(s):  
Central Europe ◽  
Detection System ◽  
Thunderstorm Activity ◽  
Severe Weather ◽  
Data Sources ◽  
Annual Number ◽  
Central Mediterranean ◽  
Severe Thunderstorm ◽  
Lightning Detection ◽  
The Alps

Abstract The climatology of (severe) thunderstorm days is investigated on a pan-European scale for the period of 1979–2017. For this purpose, sounding measurements, surface observations, lightning data from ZEUS (a European-wide lightning detection system) and European Cooperation for Lightning Detection (EUCLID), ERA-Interim, and severe weather reports are compared and their respective strengths and weaknesses are discussed. The research focuses on the annual cycles in thunderstorm activity and their spatial variability. According to all datasets thunderstorms are the most frequent in the central Mediterranean, the Alps, the Balkan Peninsula, and the Carpathians. Proxies for severe thunderstorm environments show similar patterns, but severe weather reports instead have their highest frequency over central Europe. Annual peak thunderstorm activity is in July and August over northern, eastern, and central Europe, contrasting with peaks in May and June over western and southeastern Europe. The Mediterranean, driven by the warm waters, has predominant activity in the fall (western part) and winter (eastern part) while the nearby Iberian Peninsula and eastern Turkey have peaks in April and May. Trend analysis of the mean annual number of days with thunderstorms since 1979 indicates an increase over the Alps and central, southeastern, and eastern Europe with a decrease over the southwest. Multiannual changes refer also to changes in the pattern of the annual cycle. Comparison of different data sources revealed that although lightning data provide the most objective sampling of thunderstorm activity, short operating periods and areas devoid of sensors limit their utility. In contrast, reanalysis complements these disadvantages to provide a longer climatology, but is prone to errors related to modeling thunderstorm occurrence and the numerical simulation itself.

scholarly journals Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin

2018 ◽  
Vol 22 (12) ◽  
pp. 6435-6448 ◽  
Author(s):  
Jiawei Hou ◽  
Albert I. J. M. van Dijk ◽  
Luigi J. Renzullo ◽  
Robert A. Vertessy
Keyword(s):  
River Discharge ◽  
Water Resource Management ◽  
Large Scale ◽  
Amazon Basin ◽  
Water Cycle ◽  
Detection System ◽  
Grid Cell ◽  
Cost Effective ◽  
Satellite Observation ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. River discharge measurements have proven invaluable to monitor the global water cycle, assess flood risk, and guide water resource management. However, there is a delay, and ongoing decline, in the availability of gauging data and stations are highly unevenly distributed globally. While not a substitute for river discharge measurement, remote sensing is a cost-effective technology to acquire information on river dynamics in situations where ground-based measurements are unavailable. The general approach has been to relate satellite observation to discharge measured in situ, which prevents its use for ungauged rivers. Alternatively, hydrological models are now available that can be used to estimate river discharge globally. While subject to greater errors and biases than measurements, model estimates of river discharge do expand the options for applying satellite-based discharge monitoring in ungauged rivers. Our aim was to test whether satellite gauging reaches (SGRs), similar to virtual stations in satellite altimetry, can be constructed based on Moderate Resolution Imaging Spectroradiometer (MODIS) optical or Global Flood Detection System (GFDS) passive microwave-derived surface water extent fraction and simulated discharge from the World-Wide Water (W3) model version 2. We designed and tested two methods to develop SGRs across the Amazon Basin and found that the optimal grid cell selection method performed best for relating MODIS and GFDS water extent to simulated discharge. The number of potential river reaches to develop SGRs increases from upstream to downstream reaches as rivers widen. MODIS SGRs are feasible for more river reaches than GFDS SGRs due to its higher spatial resolution. However, where they could be constructed, GFDS SGRs predicted discharge more accurately as observations were less affected by cloud and vegetation. We conclude that SGRs are suitable for automated large-scale application and offer a possibility to predict river discharge variations from satellite observations alone, for both gauged and ungauged rivers.

scholarly journals OSDDY: embedded system-based object surveillance detection system with small drone using deep YOLO

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Kaliappan Madasamy ◽  
Vimal Shanmuganathan ◽  
Vijayalakshmi Kandasamy ◽  
Mi Young Lee ◽  
Manikandan Thangadurai
Keyword(s):  
Embedded System ◽  
Object Detection ◽  
Detection System ◽  
Sampling Rate ◽  
Grid Cell ◽  
Single Type ◽  
Small Object ◽  
Input Size ◽  
The Embedded System ◽  
Bounding Boxes

AbstractComputer vision is an interdisciplinary domain for object detection. Object detection relay is a vital part in assisting surveillance, vehicle detection and pose estimation. In this work, we proposed a novel deep you only look once (deep YOLO V3) approach to detect the multi-object. This approach looks at the entire frame during the training and test phase. It followed a regression-based technique that used a probabilistic model to locate objects. In this, we construct 106 convolution layers followed by 2 fully connected layers and 812 × 812 × 3 input size to detect the drones with small size. We pre-train the convolution layers for classification at half the resolution and then double the resolution for detection. The number of filters of each layer will be set to 16. The number of filters of the last scale layer is more than 16 to improve the small object detection. This construction uses up-sampling techniques to improve undesired spectral images into the existing signal and rescaling the features in specific locations. It clearly reveals that the up-sampling detects small objects. It actually improves the sampling rate. This YOLO architecture is preferred because it considers less memory resource and computation cost rather than more number of filters. The proposed system is designed and trained to perform a single type of class called drone and the object detection and tracking is performed with the embedded system-based deep YOLO. The proposed YOLO approach predicts the multiple bounding boxes per grid cell with better accuracy. The proposed model has been trained with a large number of small drones with different conditions like open field, and marine environment with complex background.

scholarly journals A horn-shaped clay vessel from the Lusatian Culture cemetery in Kryspinów, commune Liszki, site no. 2

2018 ◽  
Vol 9 ◽  
pp. 339-347
Author(s):  
Małgorzata Byrska-Fudali ◽  
Paulina Kowalczyk-Matys
Keyword(s):  
Bronze Age ◽  
Type I ◽  
Housing Estate ◽  
North West ◽  
Vistula River ◽  
Northern Zone ◽  
The Right

Site no. 2 in Kryspinów, located north-west of Cracow, is situated on the right bank of the Sanka River, namely in the area where the Sanka Valley joins the floodplain of the Vistula River. In 2015 and 2016, archaeological investigations preceding the construction of a housing estate were carried out at this site, taking up an area of approx. 18 ares. As a result of the research the northern zone of the cemetery, dated to the turn of the Bronze and Iron Ages, was identified and explored. During the excavations, 48 archaeological features were uncovered, including 33 cremation graves of the Lusatian ulture. The excavations delivered mostly ceramic artefacts and few bronze objects (chains and wire rings). The cemetery was used at the turn of Period V and HaC, namely within the Prokocim-Skotniki phase according to the chronological system developed for this region by M. Gedl. Among the most interesting finds one should mention a horn-shaped vessel discovered in a cremation burial in pit no. 9. According to the division proposed by B. Gediga for specimens of that type, the artefact in question should be included into type I, subtype 1. Chronological frames for the clay horn from Kryspinów can be determined only in general, based on the dating of other materials obtained from the cemetery, i.e. to Bronze Age Period V–HaC.

scholarly journals Regional Differences in Spatiotemporal Drought Characteristics in Great Britain

2021 ◽  
Vol 9 ◽  
Author(s):  
Maliko Tanguy ◽  
Klaus Haslinger ◽  
Cecilia Svensson ◽  
Simon Parry ◽  
Lucy J. Barker ◽  
...  
Keyword(s):  
Great Britain ◽  
Transition Region ◽  
Regional Differences ◽  
Time Window ◽  
Response Times ◽  
Spatial Coherence ◽  
Grid Cell ◽  
Extreme Drought ◽  
North West ◽  
Drought Characteristics

Despite being one of the most damaging natural hazards, droughts and their spatiotemporal dynamics are typically not well understood. Great Britain, which is the focus of this work, has experienced many major drought episodes in the past, causing a range of socioeconomic and environmental impacts. Here, we apply a recently developed technique to identify and characterise past droughts, using space-time connectivity to extract events from a monthly gridded precipitation dataset covering 1862–2015, without imposing fixed geographical boundaries or time-frames. For each grid cell, the data was aggregated into four new time series using moving averages over 3-, 6-, 12- and 24-month windows. These reflect a range of response times for different types of drought impacts. Drought events were then extracted for each time window separately. In order to assess regional differences in drought characteristics, each extracted drought was assigned to one of three regions: the South-East (SE), the North-West (NW) and a “Transition” region in-between them. A frequency analysis of drought characteristics (duration, area, intensity and severity) highlighted differences between regions: for short and medium accumulation periods (3, 6, and 12 months), short and less severe droughts are more frequent in the NW than in the SE, whereas long, spatially extended and more severe droughts are more frequent in the SE than in the NW. However, for long accumulation periods (24 months), fewer differences are observed between the NW and the SE. In the “Transition” region, severe droughts are less frequent than in the other two regions. A timeline of historic drought events detected by our method included the vast majority of known drought events from previous studies, with a few additional ones, and we shed important new light on the relative severity of these historical drought episodes. Finally, an analysis of the spatial coherence between regions showed that the most extreme drought events presented little spatial coherence, whereas less severe droughts tend to be more spatially coherent. This has important implications for water resources planning and drought management strategies, particularly given the increasing emphasis on inter-regional water transfers as a potential solution in situations of extreme drought.

scholarly journals SSRI antidepressant use potentiates weight gain in the context of unhealthy lifestyles: results from a 4-year Australian follow-up study

BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e016224 ◽  
Author(s):  
Zumin Shi ◽  
Evan Atlantis ◽  
Anne W Taylor ◽  
Tiffany K Gill ◽  
Kay Price ◽  
...  
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Western Diet ◽  
Health Study ◽  
Annual Number ◽  
Prescription Data ◽  
North West ◽  
The North ◽  
Antidepressant Use ◽  
Two Stages

ObjectiveTo examine the association between antidepressant use and weight gain, as well as the interaction with lifestyle factors.DesignLongitudinal study.Setting and participantsWe used data from 2334 adults from two stages (4.4 years apart) of the North West Adelaide Health Study, including validated diet and lifestyle questionnaires, measured body weight and linked pharmaceutical prescription data.Main outcome measuresBody weight change.Results188 (8.1%) participants had a mean annual number of 1–2 antidepressant prescriptions, and 212 (9.1%) had over two prescriptions. The mean annual weight gain was 0.12, 0.18 and 0.28 kg in non-users, low (1–2 prescriptions/year) and high (>2 prescriptions/year) antidepressant users, respectively. In multivariable regression models, antidepressant use was positively associated with weight gain: high antidepressant users gained an extra 0.22 (95% CI 0.00 to 0.44) kg per year. This association was mainly due to selective serotonin reuptake inhibitor (SSRI) use. High SSRI users gained 0.48 (95% CI 0.20 to 0.76) kg more than non-users. There was no association between tricyclic or other antidepressant use and weight gain. The association between SSRI use and weight gain was stronger among those with high intake of Western diet, greater sedentary activity, and who smoked.ConclusionsSSRIs use was associated with weight gain in the presence of unhealthy behaviours including Western diet, sedentarism and smoking.

scholarly journals Spatial analysis of atmospheric discharges in Lubelszczyzna in 2018

2021 ◽  
Author(s):  
Kamil Misztal ◽  
Marcin Siłuch
Keyword(s):  
Sand Dunes ◽  
Vector Data ◽  
Lightning Strikes ◽  
Gis Tools ◽  
Digital Elevation ◽  
Lightning Discharges ◽  
Administrative Units ◽  
Elevation Model ◽  
Atmospheric Discharges ◽  
The Impact

AbstractThe aim of the study was to analyse lightning discharges over the Lublin region in 2018 using GIS tools. The methods and systems for detection and location of lightning discharges were presented. The impact of terrain coverage, height above sea level, and location of transceiver stations of mobile operators on the occurrence of discharges was shown. The study provides knowledge of theoretically safer areas and those particularly vulnerable to lightning strikes. Additionally, statistics related to lightning discharges over the Lublin region in 2018 were presented. The analyses were carried out on vector data on the atmospheric discharges, vector data from the transceiver stations, vector data containing information on administrative units, and data from the CORINE Land Cover 2018 and on the digital elevation model. The results of the analyses confirmed that areas of airports are particularly exposed to lightning strikes, whereas beaches and sand dunes are the safest areas. It was also found that lightning strikes more often hit coniferous forests than deciduous forests. As indicated by the statistics, May is the month with the largest number of stormy days, while the largest number of lightning strikes is July.

scholarly journals WWLLN Data Cluster Analysis Methods for Lightning-Caused Forest Fires Monitoring

2016 ◽  
Vol 6 (6) ◽  
pp. 3112
Author(s):  
Baranovskiy Nikolay ◽  
Krechetova Svetlana ◽  
Belikova Marina ◽  
Perelygin Anton
Keyword(s):  
Cluster Analysis ◽  
Forest Fire ◽  
Forest Fires ◽  
Research Area ◽  
Fire Danger ◽  
Storm Activity ◽  
Lightning Discharges ◽  
Current Article ◽  
Forest Fire Danger ◽  
New Generation

<p>Storm activity is the main reason for forest fires to occur in remote forested territories. The current article presents the results for cluster analysis of WWLLN data on lightning discharges. It provides the description for clusterization algorithms of lightning discharges over the controlled territory. Research area is Timiryazevskiy forestry of the Tomsk region (Siberia, Russia). We analyzed the applicability of cluster analysis results for monitoring of the forest fire danger caused by storm activity. As a result of the conducted research, we established that the following characteristics of storm activity can be included in deterministic-probabilistic criterion to assess the forest fire danger. The article gives the recommendations how to create new generation information-computer and geoinformation systems for monitoring of the forest fire danger caused by storm activity in the controlled forested territory.</p>

„Kolebka Polskiej Marynarki”: Z dziejów Portu Wojennego Modlin w latach 1918-1921

2021 ◽  
Author(s):  
Tomasz Skrzyński
Keyword(s):  
Ethnic Groups ◽  
Small Distance ◽  
Railway Track ◽  
North West ◽  
Vistula River ◽  
The North ◽  
History Of ◽  
Free City Of Danzig ◽  
Sanitary Conditions ◽  
The Military

„THE CRADLE OF POLISH NAVAL FORCES” MODLIN MILITARY PORT IN THE YEARS 1918-1921 From December 1918 to April 1920, the headquarters of the Vistula Flotilla and more generally the Naval Forces were based at the Modlin Military Port. The Flotilla was established as a result of efforts to regain Poland’s access to the sea. The location was chosen due to, for example, a real threat to the existence of the state coming from the north-west, a small distance from the capital, and earlier Russian and German investments. Decisions of empires to create the Free City of Danzig had a serious influence on the history of the Modlin Military Port. The area covered by the Modlin Military Port during the period 1918-1921 was subject to changes. The territory managed by the Port Commander was diversified in terms of buildings, topography or even the ethnic groups of civilians living nearby. In 1919 the Commander supervised, among other things, the School for Naval Specialists in Kazuń (on the opposite bank of the Vistula River), the Modlin railway station and a huge granary. At the same time, a harbour “for loading coal in the Narew River” functioned within the Military Port (or in a small distance therefrom). After April 1920, the area of the port was reduced. According to the data for 1921 and 1922, the Port covered the following areas: shipyard, winter port, motorboat harbour, adjacent capes, harbour next to barracks, area of the following streets: Portowa, Jana z Kolna, Admirała Sierpnika and Kapitana F. Dunin-Wąsowicza (up to the corner of aleja Marynarzy and Kaszubska Street), aleja Marynarzy; area of the Armoury; area around the Central Technical Depots; area between the Kazuń road, Kaszubska Street and aleja Marynarzy; area between the Kazuń road, the railway track and aleja Marynarzy; the areas in the triangle between the navy garrison – Kaszubska Street and the Vistula River, and the Vistula River harbour with neighbouring areas. The Port had difficult beginnings. Depots and barracks were in a very bad condition. There were poor supplies and poor sanitary conditions, difficulties in relations between Port managers and the commanders of the Modlin Fortress, and problems paying soldier’s pay. The definite majority of Polish marines soon left the Naval Forces. This was the reason why the Modlin Military Port played an important role in training the coming marine volunteers for service in sea and river vessels.

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