scholarly journals Recent Trend of Precipitation and Crop Planning at Rajshahi Region of Bangladesh

2021 ◽  
pp. 28-39
Author(s):  
M. H. Ali ◽  
M. H. Zaman ◽  
M. A. Islam ◽  
P. Biswas ◽  
N. N. Karim ◽  
...  
Keyword(s):  
Recent Trend ◽  
Parametric Method ◽  
Monthly Rainfall ◽  
Agricultural Technology ◽  
Rainfall Trend ◽  
Cropping Patterns ◽  
Increasing Trend ◽  
Selection Of ◽  
Non Parametric

The study was carried out for investigation and analysis of long-term (45 years) monthly rainfall data of Rajshahi from 1975 to 2019 for better selection of crops and agricultural technology in this region of Bangladesh. The rainfall trend was determined using parametric and non-parametric method. Probability analysis of rainfall was performed for estimation of dry, wet, and average year rainfall. The results revealed negative trend of yearly rainfall, but it is statistically insignificant. By non-parametric method, ‘no trend’ was observed for yearly rainfall. Increasing trend of monthly rainfall during March and May and decreasing trend in other months were observed. The rainfall deficit period continued from November to March, and in some instant up to April (rainfall<PET).Total deficit for dry, wet, and average year were found as 488.2 mm, 405.7mm and 426.1mm respectively. By adopting low water-demanding cropping patterns during the deficit period, the withdrawal of groundwater can be minimized.

scholarly journals Modeling and Trend Analysis of Climatic Variables of Ranchi District, Jharkhand

2021 ◽  
Vol 8 (2) ◽  
pp. 120-128
Author(s):  
PAWAN JEET ◽  
KN SINGH ◽  
RAJEEV RANJAN KUMAR ◽  
BISHAL GURANG ◽  
AK SINGH ◽  
...  
Keyword(s):  
Minimum Temperature ◽  
Monsoon Season ◽  
Arima Model ◽  
Climatic Variables ◽  
Annual Rainfall ◽  
Annual Maximum ◽  
Rainfall Trend ◽  
Average Rainfall ◽  
Increasing Trend

In this paper, an attempt has been made to study the temporal variation in monthly, seasonal and annual rainfall, and average annual maximum and minimum temperature for the period 1901-2015 over Ranchi district of Jharkhand, India. Long-term changes in rainfall, temperature was determined by Man-Kendall rank statistics and Sen’s slope, and forecasting of time series was determined by ARIMA model. The results revealed that there was significant decrease of average rainfall in the month of February and August while increase in month May and Pre-monsoon season. Average rainfall in the month of February, May, August and Pre-monsoon season showing insignificant increasing as well as decreasing rainfall trend. The average annual maximum and minimum temperature showing decreasing and increasing trend over Ranchi district during the period 1901 to 2015. This paper also describes five-year prediction of rainfall and temperature climatic variables.

scholarly journals Variability and trends of rainfall using non-parametric approaches: A case study of semi-arid area

MAUSAM ◽  
2021 ◽  
Vol 71 (1) ◽  
pp. 33-44
Author(s):  
DAS JAYANTA ◽  
MANDAL TAPASH ◽  
SAHA PIU ◽  
BHATTACHARYA SUDIP KUMAR
Keyword(s):  
Monsoon Rainfall ◽  
Resource Planning ◽  
Monthly Rainfall ◽  
Agricultural Water Management ◽  
The North ◽  
Increasing Trend ◽  
Ajmer District ◽  
Increasing Trends ◽  
Non Parametric

The analysis of variability and trends of rainfall can be used to assist better decision for climate risk and agricultural water management. This study makes an attempt to evaluate the trend and variability of annual, seasonal and monthly rainfall of 19 stations of Ajmer district, Rajasthan based on 44 year’s monthly rainfall data (1973-2016). Non-parametric Mann-Kendall (MK), Modified Mann-Kendall (mMK) and Spearman’s rho (SR) tests were used to achieve if there was an increasing or decreasing trend in the time series and the Sen’s slope (Q) estimator was applied to identify the quantity of the trend. From the results, it was found that annual and monsoon rainfall both showed an increasing trend at three stations, located in the central part and a decreasing trend at two stations, located in the north-western and south-western part of the study area. The magnitude of maximum increasing trends in both annual  and monsoon rainfall was observed at Goela (Q=+10.17 mm/year and+9.50 mm/year) while Jawaja (Q = - 6.76 mm/year and -5.21 mm/year) appeared with the maximum decreasing trends. On a monthly scale February showed an increasing trend at maximum number of stations (seven) and July showed a decreasing trend at maximum number of stations (seven). The information gathered from our study will help in future to estimate hydraulic procedures as well as to make sustainable water resource planning and management in this region.

scholarly journals The Selection of Boron Nitride Circles for Grinding Saponite–Titanium Composites Using Non-Parametric Method

2020 ◽  
Vol 57 (6) ◽  
pp. 53-64
Author(s):  
N.M. Huliieva ◽  
D.O. Somov ◽  
V.V. Pasternak ◽  
L.M. Samchuk ◽  
T.I. Chetverzhuk
Keyword(s):  
Silicon Carbide ◽  
Boron Nitride ◽  
Parametric Method ◽  
Cubic Boron Nitride ◽  
Machine Building ◽  
Abrasive Tools ◽  
Different Grain Size ◽  
Processing Stability ◽  
Selection Of ◽  
Non Parametric

AbstractThe issue of grinding saponite–titanium composites has not been considered in the machine building industry yet. The reason is that the chips are stuck on the working surfaces of abrasive tools made of silicon carbide and electrocorundum. This is due to the high adhesive activity at operating cutting temperatures between the composite and traditional abrasives.The article aims at studying the grinding of saponite–titanium composites using abrasive tools in various cutting modes based on parametric and non-parametric statistical methods.To solve this problem, high porous wheels (HPW) made of cubic boron nitride CBN30 with 100 % concentration on a bond V (K27), a pore-forming KF40, varied grains: B76, B126, B151 (ISO 6106:2013) – and hardness: M and O (ISO 525:2013) were used to grind saponite–titanium composites. Additionally, the Norton wheels from green silicon carbide with a normal porosity 39C (46; 60) K8 VK and with different grain size were tested. Norton wheels provide reduction of roughness height by 1.4–1.5 times in comparison with boron nitride HPW. These are recommended for the finishing grinding stage and HPW CBN30 – the preliminary to reduce the thermal effects on composites. By processing stability, the Norton wheels with grain 46 rank first, and among boron nitride HPW – CBN30 B76 100 OV K27–KF40.

scholarly journals Climate Change Impact on Annual and Monthly Rainfall on Bhadar River Basin, India using Linear Regression and Innovative Trend Method

2019 ◽  
Vol 9 (1) ◽  
pp. 1120-1123
Keyword(s):  
Climate Change ◽  
Linear Regression ◽  
River Basin ◽  
Monthly Rainfall ◽  
Annual Rainfall ◽  
Rainfall Trend ◽  
North West ◽  
Method Effect ◽  
Increasing Trend ◽  
Change Impact

Bhadar is one of the major rivers of Kathaiwar (Saurashtra) peninsula in Gujarat, India. It originates near Vaddi (Aniali Village) about 26 km north – west of Jasdan in Rajkot district of the state of Gujarat, India at an elevation of 261 m above mean sea level. Impact assessment of climate change over Bhadar river basin is carried out using two statistical methods of Trend Analysis i.e. linear Regression, and Innovative Trend method. Effect of climate change on annual rainfall and monthly rainfall are studied. Results show that there is an overall increase in annual rainfall trend in Bhadar river basin/catchment area at all stations except one station. The results for monthly rainfall show that the rainfall in the month of July and September shows increasing trend at all stations. The results obtained using Linear Regression and Innovative Trend method are found to be consistent.

scholarly journals Statistical Analysis of Temperature and Rainfall Trend in Raipur District of Chhattisgarh

2015 ◽  
Vol 10 (1) ◽  
pp. 305-312 ◽  
Author(s):  
R Khavse ◽  
N Deshmukh ◽  
N Manikandan ◽  
J Chaudhary ◽  
D Kaushik
Keyword(s):  
Linear Trend ◽  
Meteorological Data ◽  
Maximum Temperature ◽  
Trend Test ◽  
Rainfall Trend ◽  
Term Change ◽  
Rainfall Trends ◽  
Increasing Trend ◽  
Level Of Significance

The temperature and rainfall trends are analysed for meteorological data of Labandi station, Raipur district in Chhattisgarh, India over approximately last three decades stretching between years 1971 to 2013. The long–term change in temperature and rainfall has been assessed by linear trend analysis. The increasing trend in mean maximum temperature (MMAX) and total mean rainfall (TMRF) is confirmed by Mann-Kendall trend test. It is observed that in Raipur district of Chhattisgarh region, the December MMAX temperature has increased by 1.1008 0C and annual MMAX temperature has increased by 0.0256 0C whereas the highest decrease in TMRF occurs is observed in August @ 1.4385 mm per year (data base 1971-2013) and annual TMRF quantity has increased by 8.084 mm during the same period. Annual MMAX temperature has shown increasing trend which is statistically non- significant at 5% level of significance whereas annual TMRF has shown increasing trend which is statistically non- significant at 5% level of significance.

scholarly journals Wavelets based estimation of trend in sub-divisional rainfall in India

MAUSAM ◽  
2021 ◽  
Vol 71 (1) ◽  
pp. 69-78
Author(s):  
PAUL RANJIT KUMAR ◽  
SARKAR SANDIPAN ◽  
MITRA DIPANKAR ◽  
PANWAR SANJEEV ◽  
PAUL A K ◽  
...  
Keyword(s):  
Long Memory ◽  
Wavelet Transformation ◽  
Haar Wavelet ◽  
Recent Time ◽  
Monthly Rainfall ◽  
Discrete Wavelet ◽  
Wavelet Filter ◽  
Rainfall Trend ◽  
Trend Assessment ◽  
Non Parametric

Presence of long memory in climatic variables is frequently observed. The trend assessment becomes difficult in the presence of long-memory as the usual methods are not capable to take care of this property during trend estimation. In order to estimate the trend in presence of long memory, the non-parametric wavelet method has become popular in the recent time. The discrete wavelet transformation (DWT) re-expresses a time-series in terms of coefficients that are associated with a particular time and a particular scale. In the present study, DWT has been applied to estimate the monthly rainfall trend for the monsoon months: June-September in ten selected sub-divisions of India using “Haar” wavelet filter. The results from DWT were cross checked with the non-parametric Mann-Kendall (M-K) test. The investigation reveals that the monthly rainfall trend for the monsoon months of different sub-divisions in India are significantly decreasing over the years. However, in some of the sub-divisions, rainfall trend is increasing. DWT reveals significant trend in most of the sub-divisions whereas M-K test reveals that most of the trends are not significant at 5% level.

Women's Participation in Politics: Ukrainian Case

2014 ◽  
Vol 2013 (3) ◽  
pp. 53-66
Author(s):  
Skovikov Alexey
Keyword(s):  
Political Culture ◽  
Separation Of Powers ◽  
Party Competition ◽  
Political Life ◽  
Ruling Class ◽  
Political Actors ◽  
Women's Participation ◽  
Democratic Transformation ◽  
Selection Of

AbstractThe international practices takes into account the question of women's participation in the political life of modern Ukraine. The selection of the state was due to the dynamic process of democratic transformation - the separation of powers, the formation of multi-party competition among political actors in the electoral process, the activity women in the various institutions of civil society. The position was claimed on the basis of empirical data range of academic institutions and reputable sociological centers, and also interviews with experts who said that the creation of real conditions for self-realization by women's interest in politics is only possible for long term. The process is controversial and caused by political culture, traditions and interests of the ruling class represented mainly by men.

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