Geospatial Predictive Modelling for Climate Mapping of Selected Severe Weather Phenomena Over Poland: A Methodological Approach

2017 ◽  
pp. 185-201
Author(s):  
Ewelina Walawender ◽  
Jakub P. Walawender ◽  
Zbigniew Ustrnul
Keyword(s):  
Methodological Approach ◽  
Predictive Modelling ◽  
Severe Weather ◽  
Climate Mapping

scholarly journals Identification of rainfall triggering damaging hydrogeological events: a methodological approach applied to Calabria (Italy)

2014 ◽  
Vol 364 ◽  
pp. 153-158 ◽  
Author(s):  
L. Aceto ◽  
O. Petrucci
Keyword(s):  
Methodological Approach ◽  
Severe Weather ◽  
Great Variability ◽  
Economic Damage ◽  
Rainfall Thresholds ◽  
Rainfall Events ◽  
Space And Time ◽  
Seasonal Characteristics ◽  
Depth Analysis ◽  
Rainy Days

Abstract. The paper deals with Damaging Hydrogeological Events (DHEs), defined as periods of severe weather affecting wide regions for several days, and during which landslides and floods cause economic damage and there are victims. The great variability of DHEs in both space and time is the cause of one of the main problems to solve in performing analyses of these events. Dealing with events affecting wide areas for several days, it is problematic to isolate the rainy days that can be considered as factors triggering the observed damaging phenomena. We develop a methodological approach aiming to select and analyse rainfall events that triggered damage. The analysis allows the highlighting of some seasonal characteristics of Calabrian DHEs. The approach can be used for an in-depth analysis leading to the identification of both rainfall thresholds for DHE triggering and rain/damage relationships.

Of Frames and Cultures - A Cross-Cultural Comparison of TV Newscasts

2006 ◽  
Vol 18 (4) ◽  
pp. 160-173 ◽  
Author(s):  
Maria Senokozlieva ◽  
Oliver Fischer ◽  
Gary Bente ◽  
Nicole Krämer
Keyword(s):  
Content Analysis ◽  
Arab World ◽  
Methodological Approach ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
Explorative Study ◽  
Cross Cultural Comparison ◽  
Tv News ◽  
The Usa ◽  
The Relationship

Abstract. TV news are essentially cultural phenomena. Previous research suggests that the often-overlooked formal and implicit characteristics of newscasts may be systematically related to culture-specific characteristics. Investigating these characteristics by means of a frame-by-frame content analysis is identified as a particularly promising methodological approach. To examine the relationship between culture and selected formal characteristics of newscasts, we present an explorative study that compares material from the USA, the Arab world, and Germany. Results indicate that there are many significant differences, some of which are in line with expectations derived from cultural specifics. Specifically, we argue that the number of persons presented as well as the context in which they are presented can be interpreted as indicators of Individualism/Collectivism. The conclusions underline the validity of the chosen methodological approach, but also demonstrate the need for more comprehensive and theory-driven category schemes.

Emergency management decision-making during severe weather

2006 ◽  
Author(s):  
Leigh A. Baumgart ◽  
Ellen J. Bass ◽  
Brenda Philips ◽  
Kevin Kloesel
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Severe Weather ◽  
Management Decision ◽  
Management Decision Making

A novel methodological approach to systematically analyse pandemic influenza response programs within health systems

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
A Ahmad ◽  
R Krumkamp ◽  
S Mounier-Jack ◽  
R Reintjes ◽  
R Coker
Keyword(s):  
Health Systems ◽  
Pandemic Influenza ◽  
Methodological Approach

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

Meet fractal curves with 1C:MathKit

2020 ◽  
pp. 38-48
Author(s):  
O. M. Korchazhkina
Keyword(s):  
Methodological Approach ◽  
Fractal Curve ◽  
Iterative Processes ◽  
Geometric Figures ◽  
Modern Natural ◽  
Geometric Objects ◽  
Ict Tools ◽  
Subject Areas ◽  
The Subject ◽  
And Mathematics

The article presents a methodological approach to studying iterative processes in the school course of geometry, by the example of constructing a Koch snowflake fractal curve and calculating a few characteristics of it. The interactive creative environment 1C:MathKit is chosen to visualize the method discussed. By performing repetitive constructions and algebraic calculations using ICT tools, students acquire a steady skill of work with geometric objects of various levels of complexity, comprehend the possibilities of mathematical interpretation of iterative processes in practice, and learn how to understand the dialectical unity between finite and infinite parameters of flat geometric figures. When students are getting familiar with such contradictory concepts and categories, that replenishes their experience of worldview comprehension of the subject areas they study through the concept of “big ideas”. The latter allows them to take a fresh look at the processes in the world around. The article is a matter of interest to schoolteachers of computer science and mathematics, as well as university scholars who teach the course “Concepts of modern natural sciences”.

Post-crisis Structure of Economy and Organization of Coalitions for Innovations

2008 ◽  
pp. 25-43 ◽  
Author(s):  
L. Grigoriev ◽  
S. Plaksin ◽  
M. Salikhov
Keyword(s):  
Economic Policy ◽  
Development Strategy ◽  
Methodological Approach ◽  
International Comparisons ◽  
Soviet Economy ◽  
Institutional Changes ◽  
Russian Economy ◽  
Analytical Group

The article develops methodological approach to the analysis of groups of interests’ influence on the choice of Russia’s development strategy. It is possible to pass on to the analysis of specific issues of economic policy by forming several sub-groups in every "analytical" group. The article also considers the structure of Russian economy which was formed as a result of transformational crisis’ influence on Soviet economy, and relevant international comparisons. Main alternative ways of transition to innovational development are the renewal of Soviet "triangle economy" (the scenario "Mobilization") and complex institutional changes (the scenario "Modernization").

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