Signal Transmission and Concurrent Processing in Spatio-Temporal Perspective

Author(s):  
Xu Aigong ◽  
A.H. Lakmal
Author(s):  
Jana Sucháček ◽  
Petra Baránek

This article focuses on spatial structure of one hundred largest enterprises in the Czech Republic from evolutionary perspective. The location of large enterprise headquarters in the Czech Republic and its implications for country’s economic spatial profile and unevenly distributed economic power is discussed thoroughly. The whole analysis is pragmatically accomplished at the level of self-governmental NUTS III regions. As it is shown, intense concentration processes in the location of largest enterprise headquarters were observed during the analyzed period between 1995 and 2010. The capital city with its surroundings proved to be the winners of this process. Currently, the spatial pattern of afore mentioned head offices is basically stabilized. On the other hand, weight of large enterprises of many regions is almost negligible and subsequently, rank of individual regions can be rather volatile. Generally speaking, economic map of the Czech Republic is not entirely in compliance with country’s settlement system. Simultaneously, fundamental factors determining the location of large enterprise head offices are evaluated also from qualitative perspective. Traditional hard location factors, such as infrastructure, geographical location or agglomeration economies turned out to be decisive for location decision-making. Apart from Prague, headquarters of large enterprises tend to prefer other big towns in the country, such as Brno, Ostrava, Olomouc, Hradec Králové or Plzeň.


Ecosphere ◽  
2016 ◽  
Vol 7 (5) ◽  
Author(s):  
Karen A. Bjorndal ◽  
Milani Chaloupka ◽  
Vincent S. Saba ◽  
Carlos E. Diez ◽  
Robert P. van Dam ◽  
...  

2020 ◽  
Author(s):  
Xianxun Wang

<p>Analysis of correlation among precipitation, wind, and solar resources could explore their complementary features, enhance the utilization efficiency of renewable energy and further alleviate the carbon emission issues caused by fossil energy. In this study, we discuss the correlation between precipitation and wind, wind and solar, precipitation and solar from various Spatio-temporal perspectives (from east to west in China, in terms of plain, plateau, hill, and mountain, from daily to ten days and monthly) with observed data. With investigation of daily time series of precipitation, wind speed and solar radiation ranging from 1961-1-1 to 2016-12-31 of 726 meteorological stations located in various landform and distributed dispersedly in China, the results show that 1) the fluctuation value, quantified by Mei-Wang Fluctuation index, denotes the descending tendency when the time resolution increases, and this tendency is stronger in the southern and eastern China; 2) the correlation coefficient, characterized by Kendall’s rank correlation coefficient, changes from east to west in China, and the strength of this correlation displays certain connection to the local topography (e.g., in Qinghai province which is located in the plateau region the complementarity between precipitation and wind speed is stronger than that between precipitation and solar, the mid-stream basin of Yangtze River where the topography is scattered and complex has the weaker complementarity compared to other areas in China). According to the results of this research, it is helpful from the temporal perspective to understand the requirement of complementarity in the utilization of wind, and solar resources which are intermittent, and from the spatial perspective to know the solution of mitigating fluctuation via integration of multi-renewable energy situated in different locations.</p>


2021 ◽  
Author(s):  
Juna Probha Devi ◽  
Chandan Mahanta ◽  
Anamika Barua

Abstract This study is aimed at studying long–term historical and future (1950-2099) trends for the RCP 4.5 and RCP 8.5 on approximately 30-year timescale at annual and seasonal for precipitation and at annual, seasonal, monthly, and diurnal temperature range (DTR) for temperature maximum (T_max), temperature minimum (T_min) variations using statistical trend analysis techniques– Mann–Kendall test (MK) and Sen's slope estimator (S) and the homogeneity test using Pettitt’s test. The study is carried out in three spatial points across the Tawang Chu in the district of Tawang, Arunachal Pradesh. The summer mean precipitation for RCP 4.5 (2006-2065) shows a positive trend with a rise in precipitation between 1.56 mm to 9.94 mm in all the study points. The mean annual precipitation statistics for all the points show an increase of RCP 4.5 in 2006-2052 and 2053-2099 timescale. Both RCP 4.5 and 8.5 scenarios exhibit a uniform rise in T_min and T_max during investigation. For all the points, the results likewise reveal a rising trend in mean annual T_min and T_max. Still, the inter-decadal temperature statistical analysis shows that the increase in mean annual T_min is greater than the increase in T_max, indicating a decreasing trend in DTR. It is anticipated that this study's outcomes will contribute to a better understanding of the relationship between change in climate and the regional hydrological behaviour and will be benefitting the society to develop a regional strategy for water resource management, can serve as a resource for climate impact research scope- assessments, adaptation, mitigation, and disaster management strategies for India's north-eastern region.


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