scholarly journals Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

2020 ◽  
Author(s):  
Sayar Karmakar ◽  
Sanchari Das
Keyword(s):  
Trend Analysis ◽  
The Impact

scholarly journals Advanced Rainfall Trend Analysis of 117 Years over West Coast Plain and Hill Agro-Climatic Region of India

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1225
Author(s):  
Atul Saini ◽  
Netrananda Sahu ◽  
Pankaj Kumar ◽  
Sridhara Nayak ◽  
Weili Duan ◽  
...  
Keyword(s):  
Trend Analysis ◽  
West Coast ◽  
Winter Season ◽  
Recurrence Interval ◽  
Annual Rainfall ◽  
Rainfall Trend ◽  
Climatic Region ◽  
Monotonic Trend ◽  
Slope Test ◽  
The Impact

In this paper, the rainfall trend of the West Coast Plain and Hill Agro-Climatic Region is analyzed for 117 years (1901–2017). This region is a globally recognized biodiversity hotspot and known for one of the highest rainfall receiving regions in India. Rainfall grid dataset is used for the analysis of rainfall trends on monthly, seasonal, and decadal time scales. Modified Mann–Kendall’s test, Linear Regression, Innovative Trend Analysis, Sen’s Slope test, Weibull’s Recurrence Interval, Pearson’s Coefficient of Skewness, Consecutive Disparity Index, Kurtosis, and some other important statistical techniques are employed for trend analysis. Results indicate that the rainfall trend is significant in January, July, August, September as well as the Winter season. Among all the significant trends, January and July showed a decreasing rainfall trend. July has the highest contribution (30%) among all the obtained monotonic trend to annual rainfall and coincidentally has the highest trend magnitude. August and September months with a combined contribution of 30% to annual rainfall, show an increasing monotonic trend with high magnitude whereas Winter season shows a monotonic decreasing rainfall trend with comparatively low magnitudes. Decadal analysis along with the study of recurrence interval of excess and deficit years helps to understand the decadal rhythm of trend and the magnitude of extreme monthly and seasonal events. Skewness reveals that rainfall dataset of all the periodic results is right-skewed and the recurrence interval also supports the skewness results. Sharply decreasing rainfall in July and rising rainfall in August and September is predictive of the impact on agriculture, biodiversity and indicates the rainfall regime shift in the region.

scholarly journals A Study of Annual and Seasonal Variations in Tropospheric Ozone (O3) Concentrations over India

2020 ◽  
Author(s):  
Komal Gupta ◽  
Arnab Saha
Keyword(s):  
Trend Analysis ◽  
Large Population ◽  
Winter Season ◽  
Trace Gas ◽  
Ozone Monitoring Instrument ◽  
Traffic Emission ◽  
Seasonal Behavior ◽  
Anthropogenic Pollutants ◽  
Four Seasons ◽  
The Impact

India is one of the large sources of the anthropogenic pollutants and their increasing emission due to the recent economic growth in India. In this study we analyzed the annual and seasonal behaviors of ozone (O3) gas using satellite remote sensing dataset from the sources Ozone Monitoring Instrument (OMI) over India region from 2006-2015. The study focuses on the seasonal behaviors of O3 gas i.e., monthly, seasonal, annual mean variations of trace gas and also trend analysis of O3 gas and comparison of the seasonal behavior of the ozone gas by trend analysis were assessed. In this study we also taken eleven cities to show the increment and decrement in four seasons of O3 gas by taking 2006 as a base year and investigate the behaviors of gases during (2007-2015) years. Higher concentrations of O3 south-to-north gradient, indicating the variations due to the impact of emissions and local meteorology. Ozone concentrations were higher during the warmer months. However, in winter season lowest concentration of O3 seen due to the less amount of heat and due to cold days and ozone holes in the stratosphere. Instead, total O3 concentrations rises over Delhi, Lucknow and Kolkata due to large population density, high traffic emission, highly polluted air and larger industrial activities.

scholarly journals Trend analysis of rainfall using Mann-Kendall, Sen’s slope, moving average and least square techniques for Ahmednagar district of Maharashtra

2021 ◽  
Vol 17 (1) ◽  
pp. 19-25
Author(s):  
Virendra N. Barai ◽  
Rohini M. Kalunge
Keyword(s):  
Time Series ◽  
Trend Analysis ◽  
Moving Average ◽  
Rainfall Variability ◽  
Least Square ◽  
Annual Rainfall ◽  
Series Data ◽  
Sen’S Slope ◽  
Increasing Trend ◽  
The Impact

The long-term behaviour of rainfall is necessary to study over space with different time series viz., annual, monthly and weekly as it is one of the most significant climatic variables. Rainfall trend is an important tool which assesses the impact of climate change and provides direction to cope up with its adverse effects on the agriculture. Several studies have been performed to establish the pattern of rainfall over various time periods for different areas that can be used for better agricultural planning, water supply management, etc. Consequently, the present report, entitled “Trend analysis of rainfall in Ahmednagar district of Maharashtra,” was carried out. 13 tahsils of the district of Ahmednagar were selected to carry out trend analysis. The daily rainfall data of 33 years (1980- 2012) of all stations has been processed out study the rainfall variability. The Mann Kendall (MK) Test, Sen’s slope method, moving average method and least square method were used for analysis. The statistical analysis of whole reference time series data highlighted that July and August month contributes highest amount of rainfall at all tahsils. Regarding trend in annual rainfall, these four methods showed increasing trend at most of the tahsils whereas a decreasing trend only at Shrigonda tahsil. For monthly trend analysis, Kopargaon, Newasa, Shevgaon and Shrirampur tahsils showed an increasing trend during July. During August and September month, most of the tahsils i.e. Kopargaon, Nagar, Parner and Sangamner showed increasing trends, whereas in June, only Shrigonda tahsil showed decreasing trend.

scholarly journals КОРПОРАТИВНІ ОБЛІГАЦІЇ ЯК ДЖЕРЕЛО РОЗВИТКУ ФІНАНСОВОГО ПОТЕНЦІАЛУ СУБ’ЄКТІВ ГОСПОДАРЮВАННЯ

2021 ◽  
pp. 55-61
Author(s):  
Олена Олександрівна Середа
Keyword(s):  
Trend Analysis ◽  
Nonlinear Regression ◽  
Corporate Bonds ◽  
Secondary Market ◽  
Polynomial Model ◽  
Practical Significance ◽  
Bond Issues ◽  
Emission Activity ◽  
Business Entities ◽  
The Impact

The success of business entities depends on the ability to attract the necessary amount of financial resources to carry out activities. One of the most important issues in raising capital through the issuance of corporate bonds is to identify the factors and trends that affect this process in the context of developing the financial potential of economic entities. The aim of the research is to analyze the current state of the issue activity of business entities and determine the impact of the issue of corporate bonds on the capital formation of business entities. The subject of the research is the formation of capital through the issuance of bonds in the context of the development of the financial potential of economic entities. The methods of the research: generalization, comparison, trend analysis, trend models. The statement of basic materials. The article highlights the features of corporate bonds as an additional source of development of the financial potential of economic entities. The state and dynamics of issue activity of business entities on bond issue and activity on the secondary market of corporate bonds are analyzed. A nonlinear regression model has been formed, which reflects the dynamics of emission activity of economic entities. A polynomial model of capital dependence on bond issues of economic entities has been built. The practical significance of the research lies in the possibility of applying the built models in the process of forming a strategy of financial regulation of the development of economic entities. Conclusions and perspectives of further research.  Corporate bonds are a potential source of financing for the development of economic entities. Trend analysis of the issue activity of enterprises on the issue of corporate bonds indicates the underdevelopment of this segment of the stock market. In the process of studying the financial potential of the development of economic entities should take into account the dependence of the formed capital and emission activity, activity in the secondary market of bonds of economic entities. The constructed models of nonlinear regression of the dynamics of bond issues and the polynomial model of the dependence of capital on bond issues of economic entities will increase the objectivity of forecasting.

scholarly journals Rainfall Trend and Variability Analysis of Sub-Tropical Hills of Arunachal Pradesh in Northeastern Himalayan Region of India

2016 ◽  
Vol 11 (2) ◽  
pp. 631-636
Author(s):  
Kaushik Bhagawati ◽  
Rupankar Bhagawati ◽  
Amit Sen ◽  
Kshitiz Shukla ◽  
Rajesh Alone
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Himalayan Region ◽  
Annual Rainfall ◽  
Significant Shift ◽  
Rainfall Trend ◽  
Arunachal Pradesh ◽  
Extreme Rainfall Events ◽  
Dry Spell ◽  
The Impact

The climate change especially the changes in rainfall pattern is most crucial for Himalayan region as it leads to changes in river runoff and consequently affecting environment, agricultural productivity and human livelihood downstream. Current study aims to evaluate the rainfall trend and variability in the highest rainfall recipient sub-tropical hill regions of Arunachal Pradesh in Northeastern Himalayan region of India. Sen’s estimator is used for trend analysis and Mann-Kendall test to determine significance of the trend. The 37 years (1979-2015) data reveals no clear and consistent trend of average annual rainfall. But a wide inter and intra seasonal variation in the monthly rainfall has been observed. Also a significant shift in rainfall during pre-monsoon and Southwest monsoon was noticed leading to change in forest and agricultural growing seasons, mid-season dry spell during July and increase in extreme rainfall events during August, September and October. The trend analysis of rainfall will help in prediction of future climate scenarios in this Himalayan region and to understand the impact of climate change.

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