scholarly journals Temporal Trend Analysis of Historical Climatic Data at Northeastern Hilly Region of Bangladesh Using Mann-Kendall Test

2020 ◽  
Vol 11 (2) ◽  
pp. 19-25
Author(s):  
KK Mondal ◽  
Md AE Akhter ◽  
MAK Mallik
Keyword(s):  
Temporal Trend ◽  
Monsoon Season ◽  
Kendall Test ◽  
Climatic Data ◽  
Total Rainfall ◽  
The North ◽  
Positive Tendency ◽  
Hilly Region ◽  
North Eastern ◽  
Mann Kendall Test

An attempt has been implemented to find out the temporal trend of climatic data of average temperature and total rainfall for the study period 1980-2016 at North-Eastern Hilly Region in Bangladesh. The non-parametric Mann-Kendall test is used to analyze the trend of climatic data. The objective of the study is to investigate the trend variation in the North-Eastern hilly region. Results show that in monsoon season, both Sylhet and Srimangal meteorological stations experience a positive tendency with a rate of 0.037 and 0.0170C/year, respectively which are statistically significant at 99.9% level of significance. Monthly significant positive changes are found in all months except November, December and January for Sylhet while Srimangal indicates significant positive changes except July, September, October and November. The total rainfall at both the stations reveals decreasing trend during maximum seasons and months but the trend is not significant. Journal of Engineering Science 11(2), 2020, 19-25

scholarly journals Development of mobile based fishery advisory prototype: An experience with fisher tribes of Garo Hills in North-Eastern Himalayan region of India

2020 ◽  
Vol 67 (3) ◽  
Author(s):  
B. Lahiri ◽  
T. S. Anurag ◽  
B. R. Marak ◽  
A. K. Sangma ◽  
S. M. Sangma
Keyword(s):  
Information Dissemination ◽  
Interactive Voice Response ◽  
Monsoon Season ◽  
Scientific Information ◽  
Fish Farming ◽  
Training Programme ◽  
Short Supply ◽  
Hilly Region ◽  
North Eastern ◽  
Garo Hills

Meghalaya is one of the major fish consuming states in India, but fish is in short supply in the state due to inadequate domestic production to match its growing demand. Farmers of north-eastern hilly region of India, particularly the Garo Hill farmers are very much in need of scientific information on fish farming techniques, capacity building and training for sustainable fish farming in the area. The present study attempted to develop a mobile-based fishery advisory prototype in Garo Hills of Meghalaya as an alternate method of fishery extension to deliver right information at right time for Garo tribal farmers. Two thousand farmers from 65 villages (1000 farmers each from West Garo Hills District and South West Garo Hills District) were registered in Interactive Voice Response System(IVRS) with their farm details and mobile numbers. The major features of the system were to deliver the farm advisories (Pull Based) and information services (Push Based) using the software platform ‘Interactive Information Dissemination System (IIDS 2.0). The study revealed that majority of the farmers were seeking information on source of fingerling (31.85%), information on training in fisheries (19.32%), feeding management (10.18%) and subsidies/schemes(9.66%) respectively. The seasonal distribution of calls received revealed that majority of queries were received from the farmers during monsoon season. It was also found that clarity (4.5) and usefulness (4.5) of messages ranked highest in terms of average perceived credibility scores in 5point continuum against different parameters. Further, the inclusion of need based training programme and convergence with public and private extension system helped to develop an ICT based Stakeholder Interface (Experts-Line Departments-Fishpreneurs-Fish Farmers) in the region.

scholarly journals Analysis of rainfall trends over Tripura

MAUSAM ◽  
2022 ◽  
Vol 73 (1) ◽  
pp. 27-36
Author(s):  
RANJAN PHUKAN ◽  
D. SAHA
Keyword(s):  
Heavy Rainfall ◽  
Monsoon Season ◽  
Rainfall Variability ◽  
Kendall Test ◽  
Annual Rainfall ◽  
The North ◽  
Rainfall Trends ◽  
Annual Scale ◽  
Increasing Trends ◽  
Rainy Days

Rainfall in India has very high temporal and spatial variability. The rainfall variability affects the livelihood and food habits of people from different regions. In this study, the rainfall trends in two stations in the north-eastern state of Tripura, namely Agartala and Kailashahar have been studied for the period 1955-2017. The state experiences an annual mean of more than 2000 mm of rainfall, out of which, about 60% occurs during the monsoon season and about 30% in pre-monsoon. An attempt has been made to analyze the trends in seasonal and annual rainfall, rainy days and heavy rainfall in the two stations, during the same period.Non-parametric Mann-Kendall test has been used to find out the significance of these trends. Both increasing and decreasing trends are observed over the two stations. Increasing trends in rainfall, rainy days and heavy rainfall are found at Agartala during pre-monsoon season and decreasing trends in all other seasons and at annual scale. At Kailashahar, rainfall amount (rainy days & heavy rainfall) is found to be increasing during pre-monsoon and monsoon seasons (pre-monsoon season). At annual scale also, rainfall and rainy days show increasing trends at Kailashahar. The parameters are showing decreasing trends during all other seasons at the station. Rainy days over Agartala show a significantly decreasing trend in monsoon, whereas no other trend is found to be significant over both the stations.  

scholarly journals INTERDEPENDENCE BETWEEN DRY DAYS AND TEMPERATURE OF SYLHET REGION: CORRELATION ANALYSIS

2017 ◽  
Vol 10 (2) ◽  
pp. 145-154
Author(s):  
Syed Mustakim Ali Shah ◽  
G. M. Jahid Hasan
Keyword(s):  
Global Warming ◽  
Weather Conditions ◽  
Maximum Temperature ◽  
Trend Test ◽  
Positive Trend ◽  
The North ◽  
Hilly Region ◽  
North Eastern ◽  
Research Challenge ◽  
Sylhet Region

Climate change can have profound impact on weather conditions around the world such as heavy rainfall, drought, global warming and so on. Understanding and predicting these natural variations is now a key research challenge for disaster-prone country like Bangladesh. This study focuses on the north eastern part of Bangladesh which is a hilly region, plays an important role in the ecological balance of the country along with socio-economic development. Present study analyses the behavior of maximum temperature and dry days using different statistical tools. Pearson’s correlation matrix and Man-Kendall’s tau are used to correlate monthly dry days with monthly maximum temperature, and also their annual trend. A moderate correlation was found mostly in dry summer months. In addition, a positive trend was observed in Man Kendall’s trend test of yearly temperature which might be an indication of global warming in this region.

scholarly journals Trend analysis of time series rainfall data using robust statistics

2017 ◽  
Vol 8 (4) ◽  
pp. 691-700 ◽  
Author(s):  
Arati Paul ◽  
Riddhidipa Bhowmik ◽  
V. M. Chowdary ◽  
Dibyendu Dutta ◽  
U. Sreedhar ◽  
...  
Keyword(s):  
Robust Regression ◽  
Robust Statistics ◽  
Monsoon Season ◽  
Kendall Test ◽  
Negative Trend ◽  
Positive Trend ◽  
Rainfall Analysis ◽  
Mann Kendall Test ◽  
Rainy Days ◽  
Non Parametric

Abstract A temporal rainfall analysis was carried out for the study area, Rajahmundry city located in lower Godavari basin, India, during the period 1960–2013. Both the parametric and non-parametric approaches were envisaged for identifying the trends at different temporal scales. Linear and robust regression analysis revealed a negative trend at weekly scale during monsoon months, but failed to signify the slope at 95% confidence level. The magnitude of Sen's slope was observed to be negative during the months of April–September. Results of the Mann–Kendall test ascertained the negative rainfall trends during the monsoon months of June and July with a significant trend at 95% confidence interval. Application of robust statistics for long-term rainfall analysis helped to address the outlier's problem in the dataset. The Mann–Kendall test rejected the null hypothesis for all months except February–May and August after exclusion of outliers. Overall, a negative trend during monsoon season and a positive trend during post-monsoon season were observed using a robust non-parametric approach. Further, good correlation was found between the total rainfall and rainy days during the study period. On average, 21.25% days of a year is considered as rainy, while heavy and extreme rainfall in this region together occupies nearly 15% of the rainy days.

scholarly journals INTERDEPENDENCE BETWEEN DRY DAYS AND TEMPERATURE OF SYLHET REGION: CORRELATION ANALYSIS

2017 ◽  
Vol 10 (2) ◽  
pp. 145-154 ◽  
Author(s):  
Syed Mustakim Ali Shah ◽  
G. M. Jahid Hasan
Keyword(s):  
Global Warming ◽  
Weather Conditions ◽  
Maximum Temperature ◽  
Trend Test ◽  
Positive Trend ◽  
The North ◽  
Hilly Region ◽  
North Eastern ◽  
Research Challenge ◽  
Sylhet Region

Climate change can have profound impact on weather conditions around the world such as heavy rainfall, drought, global warming and so on. Understanding and predicting these natural variations is now a key research challenge for disaster-prone country like Bangladesh. This study focuses on the north eastern part of Bangladesh which is a hilly region, plays an important role in the ecological balance of the country along with socio-economic development. Present study analyses the behavior of maximum temperature and dry days using different statistical tools. Pearson’s correlation matrix and Man-Kendall’s tau are used to correlate monthly dry days with monthly maximum temperature, and also their annual trend. A moderate correlation was found mostly in dry summer months. In addition, a positive trend was observed in Man Kendall’s trend test of yearly temperature which might be an indication of global warming in this region.

scholarly journals Trend Detection in Rainfall and Temperature Data [1960-2014] of Anand, Gujrat, India

2021 ◽  
pp. 125-133
Author(s):  
S. S. Chinchorkar ◽  
G. J. Kamani
Keyword(s):  
Linear Trend ◽  
Monsoon Season ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Kendall Test ◽  
Trend Detection ◽  
Growth Stages ◽  
Climate Risks ◽  
Mann Kendall Test ◽  
Rainy Days

The temperature and rainfall trends are analyzed for meteorological data of Anand in Gujarat, India over approximately last three decades stretching between years 1960 to 2014. The long–term change in temperature and rainfall has been assessed by linear trend analysis. Due to their biophysical characteristics, dry lands ecosystems are most Vulnerable the Climate risks. Climate variability has serious implications on major livelihoods of the region i.e. Agriculture and livestock. In this paper, attempts have been made to study variations in temperature and rainfall in Anand of Gujarat, India. Data at annual, seasonal and monthly time scales for the period of 1960-2014 (Temperature) and 1960-2014 (Rainfall) were examined. Study of monthly variations revealed rise in the temperatures in the month of September. Rainfall and Rainy days have also increased in past 4 decades. Annual and Monsoon rainfall have been observed to increase, where the month of August shows a statistically significant increasing trend. Any variability in monsoon season will have implications on agricultural activities as the season overlaps with Kharif, a major cropping season for the country. The variations of temperature and rainfall during monsoons may have impacts on the various growth stages of the crops. Changing weather conditions may lead to increase in pest infestations. Macro level studies may or may not be relevant at village level and therefore the advisories generated may not benefit the locals. Trends in temperature, rainfall and rainy days have been assessed by Non-parametric tests (Mann-Kendall or Pre Whitened Mann-Kendall test for trend detection and Theil and Sen's Slope for magnitude of trend). Temperature and Rainfall variations, Climate Change, Mann-Kendall Test.

scholarly journals Salmonella daarle and Salmonella hiduddify associated with acute gastroenteritis in piglets in India

2017 ◽  
Vol 5 (1) ◽  
pp. 1-3
Author(s):  
Hosterson Kylla ◽  
Tapan Kumar Dutta ◽  
Parimal Roychoudhury ◽  
Rajkumari Mandakini ◽  
Prasant Kumar Subudhi
Keyword(s):  
Acute Gastroenteritis ◽  
Virulence Genes ◽  
Enteric Infection ◽  
First Report ◽  
E Coli ◽  
The North ◽  
Specific Pcr ◽  
Hilly Region ◽  
North Eastern ◽  
Pig Farm

The present study was conducted to investigate an acute gastroenteritis outbreak in an unorganized pig farm in the North Eastern Hilly Region of India. Fecal samples were collected from 20 pigs including 5 piglets, which were suffering from acute gastroenteritis and were processed for detection of E. coli, Salmonella, Clostridium sp., Rotavirus, Picobirnavirus as well as parasitic eggs and larvae by standard laboratory techniques. Virulence genes for pathogenic E. coli and Salmonella were detected by specific PCR assays. A total of 77 E. coli were isolated, all of which were found to be negative for any putative virulence genes of STEC/VTEC, ETEC, EHEC and EPEC pathotype by PCR. A total of 5 salmonellae were also isolated from 5 affected piglets, of which 1 and 4 were recorded as Salmonella daarle and Salmonella hiduddify, respectively. All the Salmonellae were positive for enterotoxin (stn) and invasion (invA) genes by PCR. In conclusion it may be stated that this is the first report of S. daarle and S. hiduddify associated with piglet diarrhoea and also first report from India with any type of enteric infection in man and animalsMicrobes and Health, December 2016, 5(1): 1-3

scholarly journals Space-Time Characterization of Rainfall Field in Tuscany

2016 ◽  
Author(s):  
Alessandro Mazza
Keyword(s):  
Kendall Test ◽  
Winter Precipitation ◽  
Rainfall Regime ◽  
North West ◽  
Rain Gauges ◽  
The North ◽  
South Central ◽  
Cumulative Rainfall ◽  
North Eastern

Precipitation during 2001-2016 over the northern and central part of Tuscany was studied in order to characterize the rainfall regime. The dataset consisted of hourly cumulative rainfall series recorded by a network of 801 rain gauges. The territory was divided into 30x30 km square areas, the annual, seasonal and daily Average Cumulative Rainfall (ACR) in all areas was estimated along with its uncertainty. The trend analysis of ACR time series was performed by means of the Mann-Kendall test. Four climatic zones were identified: the north-western was the rainiest, followed by the north-eastern, north-central and south-central. An overall increase in precipitation was identified, more intense in the north-west, and determined mostly by the increase in winter precipitation. On the entire territory, the ACR, number of rainy days, mean precipitation intensity and sum of daily ACR in four intensity groups were evaluated at annual and seasonal scale. The main result was a magnitude of the ACR trend evaluated as 35 mm/year, due mainly to an increase in light and extreme precipitations. This result is in contrast with the decreasing rainfall detected in the past decades.

Discussion on “The grinding wheel and production” at the North-Eastern Section of the Institution

1942 ◽  
Vol 21 (8) ◽  
pp. 315
Author(s):  
Bowen ◽  
Vickery ◽  
Buchanan ◽  
Swallow ◽  
Perks ◽  
...  
Keyword(s):  
Grinding Wheel ◽  
The North ◽  
North Eastern
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