Statistical approach to the analysis of olive long-term pollen season trends in southern Spain

2014 ◽  
Vol 473-474 ◽  
pp. 103-109 ◽  
Author(s):  
H. García-Mozo ◽  
L. Yaezel ◽  
J. Oteros ◽  
C. Galán
Keyword(s):  
Pollen Season ◽  
Statistical Approach ◽  
Southern Spain

Long-term modeling of soil loss and fluvial transport processes in a mountainous semi-arid basin, southern Spain

2020 ◽  
pp. 1733-1740 ◽  
Author(s):  
A. Millares ◽  
J. Herrero ◽  
M. Bermúdez ◽  
J.F. Leiva ◽  
M. Cantalejo
Keyword(s):  
Soil Loss ◽  
Transport Processes ◽  
Southern Spain ◽  
Fluvial Transport ◽  
Semi Arid

scholarly journals Aeroallergens and Climate Change in Tulsa, Oklahoma: Long-Term Trends in the South Central United States

2021 ◽  
Vol 2 ◽  
Author(s):  
Estelle Levetin
Keyword(s):  
Climate Change ◽  
United States ◽  
Pollen Season ◽  
Maximum Temperature ◽  
The South ◽  
South Central ◽  
Pollen Types ◽  
Central United States ◽  
Total Pollen

Climate change is having a significant effect on many allergenic plants resulting in increased pollen production and shifts in plant phenology. Although these effects have been well-studied in some areas of the world, few studies have focused on long-term changes in allergenic pollen in the South Central United States. This study examined airborne pollen, temperature, and precipitation in Tulsa, Oklahoma over 25 to 34 years. Pollen was monitored with a Hirst-type spore trap on the roof of a building at the University of Tulsa and meteorology data were obtained from the National Weather Service. Changes in total pollen intensity were examined along with detailed analyses of the eight most abundant pollen types in the Tulsa atmosphere. In addition to pollen intensity, changes in pollen season start date, end date, peak date and season duration were also analyzed. Results show a trend to increasing temperatures with a significant increase in annual maximum temperature. There was a non-significant trend toward increasing total pollen and a significant increase in tree pollen over time. Several individual taxa showed significant increases in pollen intensity over the study period including spring Cupressaceae and Quercus pollen, while Ambrosia pollen showed a significant decrease. Data from the current study also indicated that the pollen season started earlier for spring pollinating trees and Poaceae. Significant correlations with preseason temperature may explain the earlier pollen season start dates along with a trend toward increasing March temperatures. More research is needed to understand the global impact of climate change on allergenic species, especially from other regions that have not been studied.

scholarly journals Assessing the Fiscal Sustainability of Government Finances in European Countries

2013 ◽  
Vol 52 (1) ◽  
pp. 87-93
Author(s):  
Yuriy Melnykov
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Interest Rate ◽  
Unit Root ◽  
Statistical Approach ◽  
Fiscal Sustainability ◽  
European Countries ◽  
Gdp Growth ◽  
Gdp Growth Rate

This paper analyses the fiscal sustainability of government finances in the 27 EU countries and Norway using an empirical, statistical approach and ADF tests for a unit root in the time series of the differences between the GDP growth rate and the long-term interest rate, and the primary balance.

Tiered approach to long-term weathered lubricating oil analysis: GC/FID, GC/MS diagnostic ratios, and multivariate statistics

2020 ◽  
Vol 12 (43) ◽  
pp. 5236-5246 ◽  
Author(s):  
Candice C. Chua ◽  
Pamela Brunswick ◽  
Honoria Kwok ◽  
Jeffrey Yan ◽  
Daniel Cuthbertson ◽  
...  
Keyword(s):  
Multivariate Statistics ◽  
Statistical Approach ◽  
Lubricating Oil ◽  
Diagnostic Ratios ◽  
Oil Analysis ◽  
Multivariate Statistical ◽  
Tiered Approach ◽  
Multivariate Statistical Approach

A multivariate statistical approach serves as a powerful tool for dealing with a challenging, simulated lube oil forensic study.

Quercus long-term pollen season trends in the southwest of the Iberian Peninsula

2016 ◽  
Vol 101 ◽  
pp. 152-159 ◽  
Author(s):  
Santiago Fernández-Rodríguez ◽  
Pablo Durán-Barroso ◽  
Inmaculada Silva-Palacios ◽  
Rafael Tormo-Molina ◽  
José María Maya-Manzano ◽  
...  
Keyword(s):  
Iberian Peninsula ◽  
Pollen Season

scholarly journals A Statistical Approach to IBNR-Reserves in Marine Reinsurance

1985 ◽  
Vol 15 (2) ◽  
pp. 171-183 ◽  
Author(s):  
Joakim Hertig
Keyword(s):  
Normal Distribution ◽  
Statistical Approach ◽  
Normal Approximation ◽  
Confidence Limits ◽  
Run Off ◽  
Standard Deviations

AbstractThe run off-pattern of long-term reinsurance treaties is described by means and standard deviations of logarithmic increments of premiums and loss ratios in a normal distribution. From this description forecasts of ultimate claims and current IBNR-reserves are derived, with associated distributions and confidence limits. Aggregation from individual treaties to portfolio level is proposed by normal approximation. Security loading of IBNR-reserves is proposed by a contingency reserve at portfolio level.

scholarly journals On misleading solar-climate relationship

2010 ◽  
Vol 6 (3) ◽  
pp. 767-800 ◽  
Author(s):  
B. Legras ◽  
O. Mestre ◽  
E. Bard ◽  
P. Yiou
Keyword(s):  
Statistical Approach ◽  
Meteorological Parameters ◽  
Statistical Tests ◽  
Companion Paper ◽  
General Interest ◽  
Solar Forcing ◽  
Scientific Debate ◽  
Poor Indicator ◽  
Random Fluctuations

Abstract. A key issue of climate change is to identify the forcings and their relative contributions. Solar-climate relationship is currently the matter of a fierce debate. We address here the need for high quality observations and adequate statistical approach. A recent work by Le Mouël et al. (2010) and its companion paper by Kossobokov et al. (2010) show spectacular correlations between solar activity and meteorological parameters. We question both the data and the method used in these works. We stress 1) that correlation with solar forcing alone is meaningless unless other forcings are properly accounted and that sunspot counting is a poor indicator of solar irradiance, 2) that long series of temperature require homogenization to remove historical artefacts that affect long term variability, 3) that incorrect application of statistical tests leads to interpret as significant a signal which arises from pure random fluctuations. As a consequence, we reject the results and the conclusions of Le Mouël et al. (2010) and Kossobokov et al. (2010). We believe that our contribution bears some general interest in removing confusion from the scientific debate.

scholarly journals A statistical approach for reconstructing natural streamflow series based on streamflow variation identification

2021 ◽  
Author(s):  
Chiheng Dang ◽  
Hongbo Zhang ◽  
Vijay P. Singh ◽  
Tong Zhi ◽  
Jingru Zhang ◽  
...  
Keyword(s):  
Statistical Approach ◽  
Test Method ◽  
Change Points ◽  
Annual Streamflow ◽  
Resources Management ◽  
Streamflow Reconstruction ◽  
Long Term Trends ◽  
Hydrologic Design ◽  
Natural Series

Abstract Natural streamflow reconstruction is highly significant to assess long-term trends, variability, and pattern of streamflow, and is critical for addressing implications of climate change for adaptive water resources management. This study proposed a simple statistical approach named NSR-SVI (natural streamflow reconstruction based on streamflow variation identification). As a hybrid model coupling Pettitt's test method with an iterative algorithm and iterative cumulative sum of squares algorithm, it can determine the reconstructed components and implement the recombination depending only on the information of change points in observed annual streamflow records. Results showed that NSR-SVI is suitable for reconstructing natural series and can provide the stable streamflow processes under different human influences to better serve the hydrologic design of water resource engineering. Also, the proposed approach combining the cumulative streamflow curve provides an innovative way to investigate the attributions of streamflow variation, and the performance has been verified by comparing with the relevant results in nearby basin.

scholarly journals Flowering and airborne pollen - a novel statistical approach

2012 ◽  
Vol 60 (2) ◽  
pp. 51-55 ◽  
Author(s):  
Idalia Kasprzyk ◽  
Adam Walanus
Keyword(s):  
Pollen Season ◽  
Statistical Approach ◽  
Airborne Pollen ◽  
Pollen Grains ◽  
Weather Conditions ◽  
Time Pattern ◽  
Se Poland ◽  
Full Flowering ◽  
High Concentrations ◽  
Intensive Growth

The time pattern of flowering significantly affects the pollen season, its beginning, length and the concentration of pollen grains in air. The forecasting models used in aerobiological studies were chiefly based on the elements of weather conditions; however, recently the phenology of pollen shedding has been taken into consideration in these models more and more frequently. The aim of the presented investigations was to determine to what extent the flowering and the occurrence of allergenic pollen grains in air coincided in time. The investigation was carried out in Rzeszów (SE Poland) in the years 2003-2004. The flowering of 19 allergenic plant species was observed and seven phenophases were distinguished. Aerobiological monitoring was based on the volumetric method. In the case of most herbaceous plants, the flowering period overlapped the pollen season, high concentrations of pollen being recorded throughout several phenophases. In general, the pollen of trees occurred during very short periods, frequently during one phenophase, while the investigated phenomena were missing each other. The most intensive growth of inflorescences of alder, hazel and birch was observed at the beginning of full fl owering or towards the end of full flowering.

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