scholarly journals Supplementary material to "Delineation of Dew Formation Zones in Iran Using Long-Term Model Simulations and Cluster Analysis"

2021 ◽  
Author(s):  
Nahid Atashi ◽  
Dariush Rahimi ◽  
Victoria A. Sinclair ◽  
Martha A. Zaidan ◽  
Anton Rusanen ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Model Simulations ◽  
Term Model ◽  
Dew Formation ◽  
Supplementary Material ◽  
And Cluster Analysis

scholarly journals Delineation of Dew Formation Zones in Iran Using Long-Term Model Simulations and Cluster Analysis

2021 ◽  
Author(s):  
Nahid Atashi ◽  
Dariush Rahimi ◽  
Victoria A. Sinclair ◽  
Martha A. Zaidan ◽  
Anton Rusanen ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Model Simulation ◽  
Balance Model ◽  
Coastal Zones ◽  
Formation Potential ◽  
The North ◽  
Dew Formation ◽  
And Cluster Analysis ◽  
North And South

Abstract. Dew is a non-conventional source of water that has been gaining interest over the last two decades, especially in arid and semi-arid regions. In this study, we performed a long-term (1979–2018) energy balance model simulation to estimate dew formation potential in Iran aiming to identify dew formation zones and to investigate the impacts of long-term variation in meteorological parameters on dew formation. The annual average of dew occurrence in Iran was ~ 102 days, with the lowest number of dewy days in summer (~ 7 days) and highest in winter (~ 45 days). The average daily dew yield was in the range of 0.03–0.14 L/m2 and the maximum was in the range of 0.29–0.52 L/m2. Six dew formation zones were identified based on cluster analysis of the timeseries of the simulated dew yield. The distribution of dew formation zones in Iran was closely aligned with topography and sources of moisture. Therefore, the coastal zones in the north and south of Iran (i.e., Caspian Sea and Oman Sea), showed the highest dew formation potential with 53 and 34 L/m2/year, whereas the dry interior regions (i.e., central Iran and the Lut Desert), with the average of 12–18 L/m2/year had the lowest potential for dew formation. Trend analysis results revealed a significance (p 

scholarly journals Combined Correlation and Cluster Analysis for Long-Term Power Quality Data from Virtual Power Plant

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 641
Author(s):  
Michał Jasiński
Keyword(s):  
Cluster Analysis ◽  
Power Plant ◽  
Power Quality ◽  
Quality Data ◽  
Virtual Power ◽  
Distributed Resources ◽  
Virtual Power Plant ◽  
And Cluster Analysis ◽  
Global Indicators

Analysis of the connection between different units that operate in the same area assures always interesting results. During this investigation, the concerned area was a virtual power plant (VPP) that operates in Poland. The main distributed resources included in the VPP are a 1.25 MW hydropower plant and an associated 0.5 MW energy storage system. The mentioned VPP was a source of synchronic, long-term, multipoint power quality (PQ) data. Then, for five related measurement points, the conclusion about the relation in point of PQ was performed using correlation analysis, the global index approach, and cluster analysis. Global indicators were applied in place of PQ parameters to reduce the amount of analyzed data and to check the correlation between phase values. For such a big dataset, the occurrence of outliers is certain, and outliers may affect the correlation results. Thus, to find and exclude them, cluster analysis (k-means algorithm, Chebyshev distance) was applied. Finally, the correlation between PQ global indicators of different measurement points was performed. It assured general information about VPP units’ relation in point of PQ. Under the investigation, both Pearson’s and Spearman’s rank correlation coefficients were considered.

scholarly journals Comparative Analysis of Regional Competitiveness in Poland from 2010–2019 in the Context of the Concept of Sustainable Development

2021 ◽  
Vol 13 (6) ◽  
pp. 3202
Author(s):  
Katarzyna Chrobocińska
Keyword(s):  
Cluster Analysis ◽  
Sustainable Development ◽  
Comparative Analysis ◽  
Spatial Disparity ◽  
Regional Competitiveness ◽  
Competitive Position ◽  
Complex Process ◽  
And Cluster Analysis ◽  
Stimulation Of

The stimulation of regional competitiveness is a difficult and complex process that leads to the achievement of a competitive position against other regions covered in the comparison. The study includes a comparative analysis taking into account the Regional Competitiveness Index (RCI) level of voivodeships in Poland in 2010–2019 and, as a supplement, a Multi-Dimensional Comparative Analysis and cluster analysis. This made it possible to select a group of voivodeships characterized by a stable and relatively highly competitive position compared to the rest (voivodeships: Mazowieckie, Śląskie, Wielkopolskie, and Dolnośląskie). The apparent spatial disparity in the competitiveness of Polish voivodeships may be a result of long-term socioeconomic processes (such as sparse urbanization and industrialization), the polarized growth of competition leaders and the adverse effects of such polarization, i.e., the draining of competitive potential (such as qualified staff) from neighboring voivodeships.

scholarly journals Delineation of dew formation zones in Iran using long-term model simulations and cluster analysis

2021 ◽  
Vol 25 (9) ◽  
pp. 4719-4740
Author(s):  
Nahid Atashi ◽  
Dariush Rahimi ◽  
Victoria A. Sinclair ◽  
Martha A. Zaidan ◽  
Anton Rusanen ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Cluster Analysis ◽  
Heat Transfer Coefficient ◽  
Transfer Coefficient ◽  
Negative Trend ◽  
Balance Model ◽  
Formation Potential ◽  
Dew Formation ◽  
The Heat Transfer Coefficient

Abstract. Dew is a non-conventional source of water that has been gaining interest over the last two decades, especially in arid and semi-arid regions. In this study, we performed a long-term (1979–2018) energy balance model simulation to estimate dew formation potential in Iran aiming to identify dew formation zones and to investigate the impacts of long-term variation in meteorological parameters on dew formation. The annual average of dew occurrence in Iran was ∼102 d, with the lowest number of dewy days in summer (∼7 d) and the highest in winter (∼45 d). The average daily dew yield was in the range of 0.03–0.14 L m−2 and the maximum was in the range of 0.29–0.52 L m−2. Six dew formation zones were identified based on cluster analysis of the time series of the simulated dew yield. The distribution of dew formation zones in Iran was closely aligned with topography and sources of moisture. Therefore, the coastal zones in the north and south of Iran (i.e., Caspian Sea and Oman Sea), showed the highest dew formation potential, with 53 and 34 L m−2 yr−1, whereas the dry interior regions (i.e., central Iran and the Lut Desert), with the average of 12–18 L m−2 yr−1, had the lowest potential for dew formation. Dew yield estimation is very sensitive to the choice of the heat transfer coefficient. The uncertainty analysis of the heat transfer coefficient using eight different parameterizations revealed that the parameterization used in this study – the Richards (2004) formulation – gives estimates that are similar to the average of all methods and are neither much lower nor much higher than the majority of other parameterizations and the largest differences occur for the very low values of daily dew yield. Trend analysis results revealed a significant (p<0.05) negative trend in the yearly dew yield in most parts of Iran during the last 4 decades (1979–2018). Such a negative trend in dew formation is likely due to an increase in air temperature and a decrease in relative humidity and cloudiness over the 40 years.

scholarly journals Welfare Dynamics and Employment: Heterogeneous Paths Through Means-tested Basic Income in Germany

2019 ◽  
Vol 49 (2) ◽  
pp. 271-297 ◽  
Author(s):  
KERSTIN BRUCKMEIER ◽  
TORSTEN LIETZMANN ◽  
ANNA THERESA SAILE
Keyword(s):  
Cluster Analysis ◽  
International Literature ◽  
Full Time ◽  
Individual Data ◽  
Basic Income ◽  
Early Exit ◽  
And Cluster Analysis ◽  
Full Time Employment ◽  
First Time

AbstractThis study contributes to the international literature on welfare dynamics, by providing a differentiated picture of paths through the means-tested Basic Income for recipients who are capable of working, after the reorganisation of the basic income system in Germany in 2005. We analyse the employment and benefit trajectories of individuals who became recipients for the first time between 2007 and 2009 by methods of sequence and cluster analysis based on representative administrative individual data. We find a significant polarisation between long-term recipients and those with an early exit from benefit receipt via full-time employment. One in three new recipients remains in benefit receipt for the next years and shows almost no employment activities. Approximately 23 percent leave benefit receipt quickly and work in full-time employment. Several other different paths exist between these two poles. These heterogeneous trajectories should be characteristic for broad basic income systems and require a variety of policies that in part are beyond labour market policies.

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