scholarly journals VARIABILITY OF WINTER EXTREME LOW TEMPERATURES OF THE SURFACE AIR LAYER IN THE LAKE SEVAN BASIN (ARMENIA)

2020 ◽  
Vol 12 (4) ◽  
pp. 523-531
Author(s):  
Vardui MARGARYAN ◽  

The purpose of this work to study, analyze and evaluate the patterns of spatial variability of long-term fluctuations in winter extreme low temperatures of the surface layer of atmospheric air in mountainous territories of Armenia (for example, the lake Sevan basin). To achieve this goal, the results of actual observations by Armhydromet and the available literary sources have been collected, processed and analyzed. As a result of the analysis of the values of extreme low temperatures, it can be noted that the genesis of winter extreme low temperatures is different in the territories under consideration. Winter extreme low temperatures stand out for their uneven distribution – they range from -26.3 to -38.1. For the calculation of winter extreme low air temperatures of unexplored or poorly studied territories, correlations were obtained between the value of extreme low temperatures and the altitude of the area above sea level. In the study area, a tendency towards an increase in winter extreme low temperatures is mainly observed. The scientific novelty of the obtained results lies in the fact that in modern observational materials, for the first time, the regularities of the variability of the spatio-temporal distribution of winter extreme low temperatures of the surface air layer in the lake Sevan basin are estimated. Findings • The study of the patterns of variability of the spatial-temporal distribution of winter extreme low temperatures of the surface air layer under conditions of regional and global climate change is an urgent task of modern geographical science; • Winter extreme low air temperatures are mainly due to the nature of the underlying surface and the features of the relief. The smallest values are observed not in high-altitude zones, but in those places where cold air accumulates (that is, in depressions). In winter, in the hollow valleys, an inversion is mainly observed- in parallel with the height, the air temperature rises. In valleys, as a result of the accumulation of cold air, low temperature conditions can be observed for quite a long time; • The study area is distinguished by a characteristic regime and an uneven spatial distribution of winter extreme low temperatures. They range from -26.3 (Semenovka) to -38.1(Masrik). • Winter extreme low temperatures rise up to 2000-2100m with altitude, and on the contrary, they decrease at altitudes above 2000-2100m. The vertical temperature gradient is -0.5C/100m and 0.8C/100m, respectively; • On the basis of the obtained correlation between winter extreme low temperatures and terrain heights, two regions were identified: 1) heights up to 2000-2100m and 2) 2000- 2100m and higher; • Temporal trends during perennial winter extreme low temperatures are mixed. In the study area, these is a predominance of positive trends. Negative trends are characteristic for the period 1935-1966 at the Sevan, Masrik and Martuni meteorological stations; • In the study area, winter conditions become thermally milder, which should be taken into account when developing strategic programs for the future development of this area.

Author(s):  
V.J. MARGARYAN ◽  

The study is aimed to assess the patterns of spatio-temporal distribution of the extreme low temperatures of the Lake Sevan basin, their impact on the surrounding natural landscape landscape. As the source material, observations of daily data on the extremes of the minimum temperatures of the surface air layer at seven meteorological stations of the basin for the entire period (1891-2018). The methods used are mathematical-statistical, extrapolation, analytic, correlation, cartographic. A correlation was obtained between the average annual and annual absolute minimum values, as well as between the annual absolute minimum temperatures and the height of the area above sea level. The obtained relationships can be used to assess the thermal conditions of unexplored or little studied territories. As a result, a map of the spatial distribution of the annual absolute minimum temperatures of the surface air layer in the lake Sevan basin was compiled. Main conclusions. An analysis of the trend lines of temporary changes in the absolute minimum air temperatures shows that, at all weather stations currently operating in the basin, the absolute minimum temperatures tend to increase both monthly and annual...


Author(s):  
MARGARYAN V.G. ◽  

The features of the thermal regime of the surface air layer in the Debed river basin are considered. A statistical analysis of the average annual and average seasonal values of air temperature from 1964 to 2018 was carried out, two periods were identified, their time course was shown. The analysis was carried out using data from six meteorological stations representing the lowland, mountain and high-mountain climatic zones of the Debed river basin. A correlation was obtained between the absolute altitude and the monthly average values of air temperature for January and July, which can be used to assess the thermal conditions of unexplored or poorly studied territories and for cartography. The time course of average values of air temperatures for the seasonal period has been studied. Analysis of trend lines of temporal changes in air temperatures shows that in all situations on the territory of the basin as a whole, there is a tendency of temperature growth. Moreover, with a range of interannual fluctuations, a break in the course of temperatures in the early to mid 1990 is clearly visible, after which their significant increase began. It turned out that a significant increase in seasonal temperatures is observed especially over the period 1993-2018, which means that the annual warming after the mid 1990 occurred primarily due to summer and spring seasons. The regular dynamics indicates that in the studied area in terms of temperatures, a tendency of softening winters, a decrease in the water content of rivers, aridization of the climate. The results obtained can be used to assess the regularities of the spatial-temporal distribution of the temperature of the study area, to clarify the thermal balance, for the rational use of heat resources, as well as in the development of strategic programs for longterm analysis.


2018 ◽  
Vol 1 (1) ◽  
pp. 673-681
Author(s):  
Unal Uysal ◽  
Selahattin Kasar

This paper presents effect of cold mass friction, the rates of air flow, the inlet pressure, and the time on hot and cold air temperatures that are generated in the vortex tube. The vortex tube is manufactured by simple equip-ments within low prices. That proves the simplification of the vortex tube. Although the efficiency of vortex tube is low, but it produces low temperatures without using expensive cooling machines.


2019 ◽  
Vol 11 (3) ◽  
pp. 595 ◽  
Author(s):  
Fernando Santa ◽  
Roberto Henriques ◽  
Joaquín Torres-Sospedra ◽  
Edzer Pebesma

An in-depth descriptive approach to the dynamics of the urban population is fundamental as a first step towards promoting effective planning and designing processes in cities. Understanding the behavioral aspects of human activities can contribute to their effective management and control. We present a framework, based on statistical methods, for studying the spatio-temporal distribution of geolocated tweets as a proxy for where and when people carry out their activities. We have evaluated our proposal by analyzing the distribution of collected geolocated tweets over a two-week period in the summer of 2017 in Lisbon, London, and Manhattan. Our proposal considers a negative binomial regression analysis for the time series of counts of tweets as a first step. We further estimate a functional principal component analysis of second-order summary statistics of the hourly spatial point patterns formed by the locations of the tweets. Finally, we find groups of hours with a similar spatial arrangement of places where humans develop their activities through hierarchical clustering over the principal scores. Social media events are found to show strong temporal trends such as seasonal variation due to the hour of the day and the day of the week in addition to autoregressive schemas. We have also identified spatio-temporal patterns of clustering, i.e., groups of hours of the day that present a similar spatial distribution of human activities.


2014 ◽  
Vol 3 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Nicolle Clements ◽  
Sanat Sarkar ◽  
William Wei

Vegetation forecasting is closely tied to many important international concerns, including: monitoring the impacts of global climate change and energy usage, managing the consumption of natural resources, predicting the spread of invasive species, and protecting endangered species. In light of these issues, this article develops vegetation forecasting models for normalized difference vegetation index (NDVI) data recorded by remote sensing via satellites in East Africa. Spatio-temporal auto-regressive moving average (STARMA) is a class of models that can be used in monitoring and forecasting, but it must be modified for highly seasonal processes with temporal trends. We propose to use multiplicative STARMA models to estimate and forecast NDVI values for sub-regions that have previously been detected to have statistically significant temporal trends. For illustration, we select a few East African sub-region’s NDVI series to apply the proposed models and demonstrate the advantages over traditional modeling techniques.


2013 ◽  
Vol 38 (7) ◽  
pp. 1286-1294 ◽  
Author(s):  
Zong-Xin LI ◽  
Yuan-Quan CHEN ◽  
Qing-Cheng WANG ◽  
Kai-Chang LIU ◽  
Wang-Sheng GAO ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document