scholarly journals Application of correlation and regression analysis between GPS - RTK and environmental data in processing the monitoring data of cable - stayed

2020 ◽  
Vol 61 (6) ◽  
pp. 59-72
Author(s):  
Tinh Duc Le ◽  
Hien Van Le ◽  
Linh Thuy Nguyen ◽  
Thanh Kim Thi Nguyen ◽  
Duy Tien Le ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Wind Speed ◽  
Air Temperature ◽  
Large Scale ◽  
Environmental Data ◽  
Monitoring Data ◽  
Data Types ◽  
Correlation And Regression Analysis ◽  
Cable Stayed Bridge ◽  
Gps Rtk

Structural Health Monitoring system - SHMs has been playing a vital role in monitoring large - scale structures during their performance in a lifetime, especially with the long - span bridge, such as a suspended bridge or cable - stayed bridge. In a SHM system, many kinds of sensors are used to set up at the specific locations in order to monitor and detect any changes of structures in real - time based on the changes of monitoring data as well as the changes of correlation among monitoring data types. This paper proposes a method of applying the correlation and regression analysis for processing the displacement monitoring data acquired by GPS - RTK considering the effects of environmental factors such as temperature and wind - speed. The results show that the air - temperature has high correlation with the displacements of a cable - stayed bridge acquired by GPS - RTK measurement along to specific directions while the wind - speed has low correlation. Then the general displacement of the target bridge could be recognized and regression equation is also built to predict the bridge displacement under effects of the air temperature.

Monitored structural behavior of a long span cable-stayed bridge under environmental effects

2018 ◽  
Vol 4 (4) ◽  
pp. 137 ◽  
Author(s):  
Alemdar Bayraktar ◽  
Ashraf Ashour ◽  
Halil Karadeniz ◽  
Altok Kurşun ◽  
Arif Erdiş
Keyword(s):  
Air Temperature ◽  
Environmental Effects ◽  
Monitoring Data ◽  
Structural Behavior ◽  
Steel Cable ◽  
Daily Monitoring ◽  
Cable Stayed Bridge ◽  
Long Span ◽  
Cable Forces ◽  
Cable Stayed Bridges

An accurate numerical analysis of the behavior of long-span cable-stayed bridges under environmental effects is a challenge because of complex, uncertain and varying environmental meteorology. This study aims to investigate in-situ experimental structural behavior of long-span steel cable-stayed bridges under environmental effects such as air temperature and wind using the monitoring data. Nissibi cable-stayed bridge with total length of 610m constructed in the city of Adıyaman, Turkey, in 2015 is chosen for this purpose. Structural behaviors of the main structural elements including deck, towers (pylons) and cables of the selected long span cable-stayed bridge under environmental effects such as air temperature and wind are investigated by using daily monitoring data. The daily variations of cable forces, cable accelerations, pylon accelerations and deck accelerations with air temperature and wind speed are compared using the hottest summer (July 31, 2015) and the coldest winter (January 1, 2016) days data.

scholarly journals Modeling the surface stored thermal energy in asphalt concrete pavements

2016 ◽  
Vol 20 (suppl. 2) ◽  
pp. 603-610
Author(s):  
Bojan Matic ◽  
Hasan Salem ◽  
Vlastimir Radonjanin ◽  
Nebojsa Radovic ◽  
Sinisa Sremac
Keyword(s):  
Neural Networks ◽  
Regression Analysis ◽  
Wind Speed ◽  
Solar Radiation ◽  
Air Temperature ◽  
Asphalt Concrete ◽  
Concrete Pavements ◽  
New Models ◽  
Pavement Temperature ◽  
The Republic

Regression analysis is used to develop models for minimal daily pavement surface temperature, using minimal daily air temperature, day of the year, wind speed and solar radiation as predictors, based on data from Awbari, Lybia,. Results were compared with existing SHRP and LTPP models. This paper also presents the models to predict surface pavement temperature depending on the days of the year using neural networks. Four annual periods are defined and new models are formulated for each period. Models using neural networks are formed on the basis of data gathered on the territory of the Republic of Serbia and are valid for that territory.

scholarly journals Prospects for the creation and use of paired and multiple correlation and regression models in beekeeping

2021 ◽  
pp. 58-63
Author(s):  
O. Galatiuk ◽  
A. Lakhman ◽  
T. Romanishina ◽  
V. Behas
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Air Temperature ◽  
Economic Performance ◽  
Quality Data ◽  
Anthropogenic Factors ◽  
Multiple Correlation ◽  
Correlation And Regression Analysis ◽  
The Relationship ◽  
Natural And Anthropogenic Factors

In animal husbandry, including beekeeping, there are a growing number of independent consultancy services to analyse the performance of the industry in relation to disease monitoring status and preventive measures to maintain proper bee family health. In order to provide expert advice, these services must always be backed up by quality data and accurate statistical analysis. It would give clear instructions on how to interpret the results obtained when processing them, and show directions for improving disease prevention. Currently, there are problems related to improving the control of infectious diseases in bees, as various natural and anthropogenic factors have a multidirectional effect on the economic performance of beekeeping. There are also concerns about the control of infectious animal and insect diseases, which is a multifaceted series of causes due to natural and anthropogenic factors that have a polyvector effect on the economic performance of beekeeping. Therefore, the experimental application of different types of correlation and regression analysis in this industry by constructing pairwise and multivariate dependencies and their statistical interpretation was the aim of the paper. The correlation and regression model under study contains four sets of characteristics: result variable (y) - the amount of honey from 20 different apiaries in one season and factor variables: x1 - air temperature in the apiaries; x2 - amount of probiotic "Enteronormin Iodis + Se" to stimulate the immune system as one of the preventive methods; x3 - number of beehives in each apiary. Linear proportional relationships between apiary productivity and the factors included in the regression model are obtained. According to the results of the correlation-regression analysis, paired correlation coefficients showed that the relationship between air temperature in the apiary and produced honey is medium connection (r1 = 0,666), the relationship between the amount of probiotic applied per frame and produced honey is tight (close) connection (r2 = 0,813), the relationship between the number of beehives and produced honey is medium connection (r3 = 0,633). The regression coefficients show how the amount of honey produced in an apiary changes when each factor changes by one, with the other factors in the equation fixed. So, raising the temperature by 1 °C increases the honey production by 216 kg in each apiary, while increasing the concentration of "Enteronormin Iodis + Se" by 1 cm3 per beehive frame increases the nectar production by 1,12 kg for one hive. The coefficient of multiple determination (R2 = 0,954163) identifies a close relationship in the model created (95% of the factors investigated determine apiary performance). Therefore, modelling in the form of linear and multiple correlation and regression analysis is feasible in beekeeping. Key words: beekeeping, modeling, system analysis, factor and result characteristics.

Opposite trends of sea-breeze speeds and gusts in Eastern Iberian Peninsula, 1961-2019

2021 ◽  
Author(s):  
Shalenys Bedoya-Valestt ◽  
Cesar Azorin-Molina ◽  
José A. Guijarro ◽  
Victor J. Sanchez-Morcillo
Keyword(s):  
Wind Speed ◽  
Iberian Peninsula ◽  
Atmospheric Circulation ◽  
Air Temperature ◽  
Large Scale ◽  
Sea Breeze ◽  
Sea Breezes ◽  
Long Term Trends ◽  
Large Scale Atmospheric Circulation

<p>Long-term trends of local winds such as sea breezes have been less addressed in climate research, despite their impacts on broad environmental and socioeconomic spheres, such as weather and climate, agriculture and hydrology, wind-power industry, air quality or even human health, among many others. In a warming climate, sea breezes could be affected by changes on air temperature, as these onshore winds are thermally-driven by gradients between the sea-land air, but also by ocean-atmosphere oscillations or changes in large-scale atmospheric circulation. In the last few decades, advances in wind trends studies evidenced a recovery in global wind stilling during the last 10 years, and differences in the sign-magnitude of wind speed trends were found at seasonal-scale, suggesting the hypothetic effect of the reinforcement of local wind circulations in the warm seasons.</p><p>In this study, we analyze for the first time the long-term trends, multidecadal variability and possible drivers of the sea-breeze speeds and gusts in Eastern Iberian Peninsula during the last 58 years (1961-2019), using homogenized wind speed and gusts data from 16 meteorological stations. To identify potential sea breeze episodes, we developed a robust automated method based on alternative criteria. Our results suggest a decoupling between the declining sea-breeze speeds and the strengthening of the maximum gusts for much of the 1961-2019 period at annual, seasonal and monthly scales, but differences based on locations were also found. Because sea breeze changes can be driven by multiple complex factors (i.e. land use changes, land-sea air temperature gradient, complex orography, etc.), the attribution of causes is challenging. To better understand the causes behind the opposite trends between sea-breeze speeds and gusts, we investigate the effect of e.g. the changes in large-scale atmospheric circulation or physical-local factors.</p>

Synoptic forcing of wind and temperature in a large cirque 300 km from the coast of East Antarctica

1995 ◽  
Vol 7 (4) ◽  
pp. 409-420 ◽  
Author(s):  
Stig Jonsson
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Wind Direction ◽  
Large Scale ◽  
Weddell Sea ◽  
Air Pressure ◽  
Small Scale ◽  
Katabatic Winds ◽  
North East ◽  
Synoptic Forcing

Between 18 January 1988 and 3 June 1989, an automatic weather station recorded 13 different weather parameters every 3 h on a blue-ice area located in Scharffenbergbotnen, a large cirque in central Heimefrontfjella 300 km from the Weddell Sea coast. The first part of the paper reports on annual and monthly data regarding air temperature, air pressure, wind speed and wind direction, and a comparison is also made with corresponding data from the Neumayer and Halley stations. The second part deals mainly with winter (i.e. April–September) conditions in Scharffenbergbotnen. They seem, at least during 1988–89, to have been characterized by a large-scale (30–40 days) and, superimposed on the large-scale, a small-scale (3–4 days) co-variation of air temperature, air pressure and wind speed. The large-scale variation was earlier found to be synoptically forced. This paper shows that synoptic forcing exists also on smaller time scales. Pools of cold, stagnant air are regularly formed in the cirque only to be blown away by katabatic winds triggered by small variations in the synoptic pressure field. When this happens the air temperature increases by more than 20°C and the wind direction swings from east towards south-east. When low pressures dominate in the eastern part of the Weddell Sea, the katabatic winds become very strong, but weaker wind pulses also take place when the synoptic pressure gradient is directed towards the north-east. It therefore seems as if these very regular katabatic events are forced both by synoptic-scale pressure gradients and gradients due to the sloped inversion.

Ways to diversify enterprises in the space sphere: Challenges, problems, and solutions

2021 ◽  
Vol 20 (1) ◽  
pp. 4-24
Author(s):  
Sergei G. FAL'KO ◽  
Tamara N. RYZHIKOVA ◽  
Zurab S. AGALAROV
Keyword(s):  
Regression Analysis ◽  
Large Scale ◽  
Large Scale Structure ◽  
Mathematical Statistics ◽  
Market Segments ◽  
Correlation And Regression Analysis ◽  
Econometric Methods ◽  
Long Run ◽  
Problems And Solutions ◽  
The Relationship

Subject. The article addresses the efficiency of commercialization through enterprise diversification in the rocket and space sphere. Objectives. The study aims to assess the condition of the space market, find ways of diversification, identify opportunities for commercialization and diversification of business in this area to generate profit, and highlight urgent problems in the space market. Methods. We employ econometric methods, like correlation and regression analysis, and methods of mathematical statistics. Results. We propose a large-scale structure of the space market, enabling to examine and explore the relationship between its segments. The paper provides an assessment of the space market and opportunities for commercialization and diversification of business in this area for generating profit. It includes a profit-making model based on intermediate segments and post-sale service, which can serve as a basis for business diversification in this sphere. It also presents recommendations for further investigation. Conclusions. The lack of communication between the space market segments makes it difficult to develop the production of launchers, and therefore, in the long run, will lead to a reduction in the number of launches and degradation of the industry.

scholarly journals Статистический анализ влияния изменения климата на аграрный сектор экономики (на примере Ярославской области)

2019 ◽  
pp. 28-32
Author(s):  
V.V. Zholudeva
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Air Temperature ◽  
Climatic Factors ◽  
Multiple Correlation Coefficient ◽  
Coefficient Of Determination ◽  
Correlation And Regression Analysis ◽  
Temperature And Precipitation ◽  
Annual Amount ◽  
Positive Effect

Проведено исследование влияния происходящих в настоящее время климатических изменений на развитие сельского хозяйства Ярославской области. Выполнен корреляционнорегрессионный анализ, позволяющий выявить влияние средней температуры воздуха и среднегодового количества выпавших осадков на урожайность основных сельскохозяйственных культур, а именно, картофеля, зерновых культур и овощей открытого грунта. Результаты проведённого корреляционнорегрессионного анализа показали, что на урожайность данных культур оказывает небольшое положительное влияние рост температуры воздуха и отрицательное изменение количества выпавших осадков. Наибольшее положительное влияние происходящих климатических изменений было отмечено для зерновых культур. На основании полученных значений коэффициентов детерминации можно утверждать, что изменение урожайности зерновых в 17 случаев, картофеля в 8 и овощей открытого грунта в 14 случаев зависит от природноклиматических факторов. Сопоставление множественного коэффициента корреляции со шкалой силы связи Чеддока свидетельствует, что урожайность всех исследуемых сельскохозяйственных культур находится в слабой зависимости от совокупности климатических показателей, температуры воздуха и осадков.The research of the influence of current climate change on the development of agriculture in the Yaroslavl region has been conducted. A correlation and regression analysis has been performed to reveal the effect of the average air temperature and the average annual amount of past precipitation on the productivity of the main agricultural crops, namely, potatoes, cereals and field vegetables. The results of the correlation and regression analysis showed that the increase in air temperature has a slight positive effect on the yield of these crops and a negative one on the change in the amount of past precipitation. The greatest positive effect of ongoing climate change was noted for grain crops. On the ground of the obtained values of the coefficient of determination it can be argued that changes in cereal yields in 17 of cases, potatoes in 8 ones and field vegetables in 14 of cases depend on natural and climatic factors. A comparison of the multiple correlation coefficient with the Chaddock bond strength scale testifies that the productivity of all the studied crops is weakly dependent on the combination of climatic indicators, air temperature and precipitation.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

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