scholarly journals Spatio-temporal distribution of ice deposits of DHP (dangerous) and SHP (spontaneous) categories on the territory of Ukraine and losses from them during 2011-2019

2020 ◽  
Keyword(s):  
Climate Change ◽  
Temporal Distribution ◽  
Industrial Complex ◽  
The South ◽  
Carpathian Region ◽  
Registration Number ◽  
Spatio Temporal ◽  
State Registration ◽  
Autonomous Republic ◽  
Current Stage

As part of the research topic “Forecasting the variability of climate-vulnerable areas in Ukraine in the coming decades” (state registration number 0118U000554) a study of spatio-temporal distribution of ice category (dangerous) and SHP (spontaneous) was conducted in Ukraine at the present stage of climate change. The purpose of this article is to study the distribution of ice deposits of large diameters, namely dangerous (DHP) and spontaneous (SHP) in Ukraine during the current stage of climate change. It was also necessary to summarize the information on the identifi ed losses and their nature from ice deposits of the spontaneous (SHP) category, registered in some regions of Ukraine during this time. Main material. Dangerous ice deposits of the category are quite common in Ukraine and are observed almost every year. They are most common in the winter months (December-February) and in late autumn in November, when they are found in at least half of the regions. During 2011-2019, they were territorially observed in most oblasts, especially in the western, central and eastern regions. In the south, such deposits were mostly observed in Odesa, Mykolaiv, Kherson oblasts and the Autonomous Republic of Crimea. In April, such deposits were observed only in the Carpathian region of Transcarpathia in Playa. During October 2011-2019, dangerous ice deposits were found only in the Carpathian region (Zakarpatska and Ivano-Frankivsk regions), in some places in the center (Kirovohrad and Dnipropetrovsk regions) and in the south (Odessa, Mykolaiv, Kherson regions). Spontaneous ice deposition is observed in the territory not every month and year, but more o???? en in the cold period. The areas where they occur most o???? en are highlighted, namely in Transcarpathia at the Play weather station. However, there are places where such deposits also occurred quite often in the study period - in Lviv region (Kamyanka-Buzka, Rava-Ruska), Zhytomyr region (Olevsk, Zhytomyr), Mykolayiv region (Mykolayiv, Ochakiv), Donetsk region (Amvrosiyivka, Mariupol), Zaporizhzhia region (Zaporizhzhia, Huliaipole), the Autonomous Republic of Crimea (Chornomorske, Opasne, Simferopol). Damage from ice deposits of the SHP category was observed in 4 years out of 9 studied at the facilities of the industrial complex, transport and utilities. The largest number of losses was recorded in 2014. Conclusions. It was found that the most common dangerous ice deposits during 2011-2019 were in January, February, December, where they were observed in 10 to 14 regions, and especially in March in 21 region. They were most common in the western, central and eastern regions, and in the south in Odessa, Mykolaiv, Kherson regions and the Autonomous Republic of Crimea. Ice deposits of a spontaneous nature were mostly observed in the Zakarpatia region in Playa, as well as at some meteorological stations in Lviv, Zhytomyr, Mykolaiv, Donetsk, and Zaporizhzhia regions.

scholarly journals Global horizontal irradiation: spatio-temporal variability on a regional scale in the south of the Pampeana region (Argentina)

2021 ◽  
Vol 56 (2) ◽  
pp. 220-233
Author(s):  
María Eugenia Fernández ◽  
Jorge Osvaldo Gentili ◽  
Ana Casado ◽  
Alicia María Campo
Keyword(s):  
South America ◽  
Seasonal Dynamics ◽  
Temporal Variability ◽  
Cloud Cover ◽  
Regional Scale ◽  
Temporal Distribution ◽  
The South ◽  
Monsoon System ◽  
Spatio Temporal ◽  
Dynamics Of Action

The objective of this work is to analyze the spatio-temporal distribution of Global Horizontal Irradiation (GHI) on a regional scale and its relationship with frequent synoptic situations in the south of the Pampeana region (Argentina). It was verified that the latitudinal pattern of distribution of the GHI is modified in the region by cloud cover, which is in turn determined by the seasonal dynamics of action centers and the passage of fronts in summer and winter. The South America Monsoon System (SAMS) defines differential situations of cloudiness and rainfall in the region, which affect GHI. GHI increased successively between the decades 1981–2010, a factor associated with the variability of rainfall that characterizes the region.

DEPOSITION OF DP SOFT RIME (DANGEROUS PHENOMENA) ON THE TERRITORY OF UKRAINE DURING THE PERIOD OF THE STANDARD CLIMATOLOGICAL NORM OF 1961-1990 AND FOR ITS SEPARATE DECADES

2021 ◽  
pp. 91-106
Author(s):  
S.I. Pyasetska
Keyword(s):  
Temporal Distribution ◽  
The State ◽  
Similar Work ◽  
Spatio Temporal ◽  
Autonomous Republic

To clarify the features of the spatio-temporal distribution of soft rime deposits of the category DP (dangerous phenomena) over the course of the standard climatological norm of 1961-1990 materials of observations of such sediments were analyzed on a standard ice machine at all meteorological stations in Ukraine. The spatial-temporal character of the distribution of such sediments in the territory of Ukraine for each of the studied months of the cold and individual months of the transitional seasons of the year was obtained. Similar work was carried out for each separate decade during the total thirty-year study period. The years and months when such types of ice-rime deposits were the most were revealed, the contribution of each year and month to their total number was calculated. The places and regions of the greatest manifestation of DP category soft rime deposits on the territory of Ukraine during the standard climatological norm of 1961-1990 were established. A number of conclusions were obtained regarding the state of spatio-temporal distribution and the number of deposits of soft rime DP category during 1961-1990 on the territory of Ukraine, namely: – From 1961-1990, the largest number of cases of soft rime deposits of the DP category was observed in January, February and December of the study period. – In most cases, the vast majority of cases of frost deposition of the DP category were observed in the Transcarpathian region on the Play and in the Autonomous Republic of Crimea on the Ai-Petri . – Mostly the number of cases of such deposits at stations was isolated, but in some years and months at a number of stations there was a much larger number of such cases. January-December stands out the most, and among the Play and Ai-Petri stations. – The largest number of cases of soft rime deposits of the DP category was observed in the winter months, especially in January and December. During 1971-1980 and 1981-1990, a significant increase in such cases was observed in November, especially in 1971-1980. In the first decade of the standard climatological norm, this was not observed, the number of cases in March was equal to their number in November. – There is a tendency to increase the number of cases of DP soft rime deposits in December during 1971-1980 and 1981-1990, in contrast to 1961-1970, when the largest number was observed in January. – It is established that most cases of soft rime deposits of the DP category were observed during 1971-1980. – During 1961-1970, in January, cases of soft rime deposits of the DP category were quite common in Ukraine and were observed in 15 regions. The greatest spread of such deposits was observed in January 1964. Subsequently, the area of their distribution was reduced to several areas, of which they were most often observed in Transcarpathia in the Autonomous Republic of Crimea. Such deposits were quite common in December 1961-1970 and 1981-1990, when they were observed in 5-6 regions.

Spatio-temporal distribution of Konosirus punctatus spawning and nursing ground in the South Yellow Sea

2021 ◽  
Vol 40 (8) ◽  
pp. 133-144
Author(s):  
Xiangyu Long ◽  
Rong Wan ◽  
Zengguang Li ◽  
Yiping Ren ◽  
Pengbo Song ◽  
...  
Keyword(s):  
Yellow Sea ◽  
Temporal Distribution ◽  
South Yellow Sea ◽  
The South ◽  
Konosirus Punctatus ◽  
Spatio Temporal ◽  
The South Yellow Sea

Snow Cover Dynamics and its Spatio-Temporal Distribution in the Central Higher Himalaya of India

2021 ◽  
Vol 14 (9) ◽  
pp. 15-22
Author(s):  
Masoom Reza ◽  
Ramesh Chandra Joshi
Keyword(s):  
Climate Change ◽  
Snow Cover ◽  
Geographical Area ◽  
Temporal Distribution ◽  
Melting Rate ◽  
Optical Data ◽  
Snow Cover Area ◽  
Central Himalayas ◽  
Spatio Temporal ◽  
The Impact

Retreating glaciers, changing timber line and decreasing accumulation of snow in the Himalaya are considered the indicators of climate change. In this study, an attempt is made to observe the snow cover change in the higher reaches of the Central Himalayas. Investigation of climate change through snow cover is very important to understand the impact and adaptation in an area. Landsat thematic and multi spectral optical data with a spatial resolution of 60m and 30m are considered for the estimation and extraction of snow cover. Total 3,369 Km2 snow cover area is lost since 1972 out of total geographical area i.e. 17,227 Km2. The accumulation of snow during winter is lower than the melting rate during summer. The current study identified the decrease of 19.6 % snow cover in 47 years since 1972 to 2019. Composite satellite imageries of September to December show that the major part of the study area covered with snow lies above 3600m. Overall observation indicates that in 47 years, permanent snow cover is decreasing in Central Himalayas.

scholarly journals TRENDS IN THE SPREAD OF FROST DEPOSITS OF THE CATEGORY DP (DANGEROUS PHENOMENA) ON THE TERRITORY OF UKRAINE DURING THE LAST THIRTY YEARS 1991-2020

2021 ◽  
pp. 55-67
Author(s):  
S.I. Pyasetska
Keyword(s):  
Temporal Distribution ◽  
Meteorological Station ◽  
Weather Station ◽  
Mountainous Areas ◽  
The North ◽  
Current State ◽  
Previous Decade ◽  
Spatio Temporal ◽  
Favorable Conditions ◽  
Autonomous Republic

The article is devoted to the study of spatio-temporal distribution of DP (dangerous phenomena) frost deposits on the territory of Ukraine during the last 30 years, which characterize the current state and dynamics of the climate system in Ukraine and its individual elements. The aim of the study was to establish the features of spatio-temporal distribution of such sediments in the regions of Ukraine for individual decades of the study period and to outline the trend in their distribution. some increase in the incidence of such deposits in some months of the transition seasons. For the last decade, there has been an increase in such cases in January and December compared to previous decades. However, during the last 2 years the number of cases of frost deposits of the DP (dangerous phenomena) category has slightly decreased. It is proved that the vast majority of such cases were observed in Transcarpathia at the meteorological station Play, which is associated with a higher frequency of favorable conditions for its formation. Given the results of the study, we can say that in 1991-2000 the largest number of cases of frost deposits of the category of DP in Ukraine was observed in January, February and December, with January accounting for the vast majority of cases. During January, frost deposits of the DP category were quite widely represented on the territory of Ukraine in 9 oblasts. During February and March, they were observed only in mountainous areas – in Transcarpathia and in the Autonomous Republic of Crimea. In April, October and November, such deposits were observed only in Transcarpathia at the Play meteorological station. In December, their range expanded and they were observed not only in the mountains, but also in the north, northeast and east of the country in 5 regions. The largest number of such cases during 1991-2000 was observed in Transcarpathia (Play) and in the Autonomous Republic of Crimea (Ai-Petri). In the period 2001-2010, the main number of cases of frost deposition of the DP (dangerous phenomena) category falls on the months of the cold period of the year, especially January and December. In contrast to the period 1991-2000, the number of cases increased in March and November, and the number of such deposits increased slightly in April. The vast majority of cases of frost deposits of the DP (dangerous phenomena) category during 2001-2010, as well as in the previous decade, were observed in Transcarpathia at the Play weather station. During 2011-2020, there was an increase in the number of cases of DP frost deposits in January and February compared to 2001-2010 and a slight decrease in these deposits in November and December. Also for this period, a greater localization of such sediments in Transcarpathia was established in all the studied months compared to the previous study periods, when especially in January and December such sediments were quite widespread in Ukraine.

scholarly journals Vegetation Phenological Changes in Multiple Landforms and Responses to Climate Change

2020 ◽  
Vol 9 (2) ◽  
pp. 111 ◽  
Author(s):  
Hongzhu Han ◽  
Jianjun Bai ◽  
Gao Ma ◽  
Jianwu Yan
Keyword(s):  
Climate Change ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Climatic Factors ◽  
Growing Season ◽  
Vegetation Phenology ◽  
The South ◽  
Response Characteristics ◽  
The North ◽  
Spatio Temporal

Vegetation phenology is highly sensitive to climate change, and the phenological responses of vegetation to climate factors vary over time and space. Research on the vegetation phenology in different climatic regimes will help clarify the key factors affecting vegetation changes. In this paper, based on a time-series reconstruction of Moderate-Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data using the Savitzky–Golay filtering method, the phenology parameters of vegetation were extracted, and the Spatio-temporal changes from 2001 to 2016 were analyzed. Moreover, the response characteristics of the vegetation phenology to climate changes, such as changes in temperature, precipitation, and sunshine hours, were discussed. The results showed that the responses of vegetation phenology to climatic factors varied within different climatic regimes and that the Spatio-temporal responses were primarily controlled by the local climatic and topographic conditions. The following were the three key findings. (1) The start of the growing season (SOS) has a regular variation with the latitude, and that in the north is later than that in the south. (2) In arid areas in the north, the SOS is mainly affected by the temperature, and the end of the growing season (EOS) is affected by precipitation, while in humid areas in the south, the SOS is mainly affected by precipitation, and the EOS is affected by the temperature. (3) Human activities play an important role in vegetation phenology changes. These findings would help predict and evaluate the stability of different ecosystems.

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