scholarly journals Effect of rainfall on the yield of major cereals in Darchula District of Nepal

2014 ◽  
Vol 3 (1) ◽  
pp. 205-213 ◽  
Author(s):  
Govinda Bhandari
Keyword(s):  
Rainfall Data ◽  
Seasonal Rainfall ◽  
Poor Growth ◽  
The Relationship

Rainfall is one of the most important factors for the growth of cereals. Inadequate water results poor growth and reduced yield. This study is aimed to explore the relationship between rainfall and yield of major cereals in Darchula district of Nepal. The yield of individual cereals is correlated with the seasonal rainfall data using MS Excel to identify the effect of rainfall on yield of cereals. The amount of rainfall in the years 1974, 1977, 1980, 1985, 1986, 1987, 1991, 1992, 1994, 1996, 1997, 1999 and 2000 was reduced which has greatly affected the yield of rice, wheat and maize in 1986 and 1987. In the years 1976, 1977, 1999 and 2000, the decrease in the amount of rainfall has reduced the yield of all major cereals in Darchula district of Nepal. DOI: http://dx.doi.org/10.3126/ije.v3i1.9954 International Journal of Environment Vol.3(1) 2014: 205-213

scholarly journals Relationships between Rainy Days, Mean Daily Intensity, and Seasonal Rainfall over the Koyna Catchment during 1961–2005

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
S. Nandargi ◽  
S. S. Mulye
Keyword(s):  
Linear Relationship ◽  
Daily Rainfall ◽  
Rainfall Data ◽  
Seasonal Rainfall ◽  
Frequency Changes ◽  
Logarithmic Relationship ◽  
The Relationship ◽  
Rainfall Climatology ◽  
Rainy Days ◽  
Better Than

There are limitations in using monthly rainfall totals in studies of rainfall climatology as well as in hydrological and agricultural investigations. Variations in rainfall may be considered to result from frequency changes in the daily rainfall of the respective regime. In the present study, daily rainfall data of the stations inside the Koyna catchment has been analysed for the period of 1961–2005 to understand the relationship between the rain and rainy days, mean daily intensity (MDI) and seasonal rainfall over the catchment on monthly as well as seasonal scale. Considering the topographical location of the catchment, analysis of seasonal rainfall data of 8 stations suggests that a linear relationship fits better than the logarithmic relationship in the case of seasonal rainfall versus mean daily intensity. So far as seasonal rainfall versus number of rainy days is considered, the logarithmic relationship is found to be better.

The Relationship Between Maxillary Growth and Speech in Children With a Unilateral Cleft Lip and Palate at 5 Years of Age

2021 ◽  
pp. 105566562110106
Author(s):  
Matthew Fell ◽  
Jibby Medina ◽  
Kate Fitzsimons ◽  
Miriam Seifert ◽  
Anne Roberts ◽  
...  
Keyword(s):  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Poor Growth ◽  
History Of ◽  
Dental Models ◽  
Maxillary Growth ◽  
Growth Scores ◽  
Outcomes For Children ◽  
The Relationship ◽  
Normal Speech

Objective: This study sought to investigate the association between maxillary growth and speech outcomes for children with a repaired unilateral cleft lip and palate (UCLP) at 5 years of age. Participants: In all, 521 children (180 females and 341 males) with a nonsyndromic complete UCLP, born between 2007 and 2012 in England, Wales, and Northern Ireland were included in this study. Outcome Measures: Maxillary growth was analyzed using dental models scored by the 5-Year-Olds’ index, and perceptual speech analyses were scored by the Cleft Audit Protocol for Speech – Augmented rating. Results: Forty-one percent of the children achieved good maxillary growth (scores 1 and 2 on 5-Year-Old’ index). Fifty percent of the children achieved normal speech (achieving UK speech standard 1). Maxillary growth was not found to have an impact on speech outcome when described by the 3 UK National Cleft Lip and Palate Speech Audit Outcome Standards. Analysis according to individual speech parameters showed dentalizations to be less prevalent in children with good maxillary growth compared to fair and poor growth ( P = .001). The remaining speech parameters within resonance, nasal airflow, and articulation categories were not significantly associated with maxillary growth. Conclusion: The findings from this study suggest that children with a history of complete UCLP, who have poor maxillary growth, are not at a higher risk of having major speech errors compared to children with good or fair maxillary growth at 5 years of age.

scholarly journals The Correlation of Southern Oscillation Index (SOI) with the Rainfall at Rainy and Dry Season Peak in Kintamani-Bangli Region period 1986-2015

2019 ◽  
Vol 20 (2) ◽  
pp. 6
Author(s):  
Wayan Mita Restitiasih ◽  
I Ketut Sukarasa ◽  
I Wayan Andi Yuda
Keyword(s):  
Correlation Coefficient ◽  
El Niño ◽  
Southern Oscillation Index ◽  
El Nino ◽  
Southern Oscillation ◽  
Management Plan ◽  
Correlation Study ◽  
Dry Season ◽  
Rainfall Data ◽  
The Relationship

A correlation study of the Southern Oscillation Index (SOI) on rainfall at the peak of the wet and dry season in the Kintamani-Bangli region has been carried out by taking SOI values and rainfall data for the period 1986-2015. The rainfall data used were recorded at 2 rain posts, namely Kembangsari and Kintamani. The research aimed to determine the relationship of fluctuations in the value of SOI with the intensity of rainfall, so that it can be used as a regional management plan when El Nino occurs. The method used in this study is correlation. The results obtained from the correlation that is the relationship between SOI value and rainfall in February were quite strong in the Kembangsari post with correlation coefficient of 0.409. Whereas for the Kintamani post the correlation obtained was weak with a correlation coefficient of 0.308. Then in August a weak correlation occurred in the Kembangsari post with a correlation coefficient of 0.2398 and was quite strong in the Kintamani post with a correlation coefficient of 0.4662. So that the influence of El Nino in the Kintamani area in February was more dominant in the Kembangsari post and in August at the Kintamani post.

SLICES OF MULTIFRACTAL MEASURES AND APPLICATIONS TO RAINFALL DISTRIBUTIONS

Fractals ◽  
2000 ◽  
Vol 08 (04) ◽  
pp. 337-348 ◽  
Author(s):  
BIRGER LAMMERING
Keyword(s):  
Time Series ◽  
Field Data ◽  
Rainfall Data ◽  
Rainfall Time Series ◽  
Mathematical Ideas ◽  
Radar Images ◽  
The Usa ◽  
Self Similar ◽  
The Relationship ◽  
Plane Measure

We discuss the relationship between the multifractal functions of a plane measure and those of slices or sections of the measure with a line. Motivated by recent mathematical ideas about the relationship between measures and their slices, we formulate the "slice hypothesis," and consider the theoretical limitations of this hypothesis. We compute the multifractal functions of several standard self-similar and self-affine measures and their slices to examine the validity of the slice hypothesis. We are particularly interested in using the slice hypothesis to estimate multifractal properties of spatial rainfall fields by analyzing rainfall data representing slices of rainfall fields. We consider how rainfall time series at a fixed site and slices of composite radar images can be used for this purpose, testing this on field data from a radar composite in the USA and on appropriate time series.

scholarly journals ANALISIS CURAH HUJAN BULANAN DI KOTA AMBON MENGGUNAKAN MODEL HETEROSKEDASTISITAS: SARIMA-GARCH

2020 ◽  
Vol 13 (1) ◽  
pp. 68-79
Author(s):  
Lexy Janzen Sinay ◽  
Ferry Kondo Lembang ◽  
Salmon Notje Aulele ◽  
Dominique Mustamu
Keyword(s):  
White Noise ◽  
Secondary Data ◽  
Monthly Rainfall ◽  
Rainfall Data ◽  
The Other ◽  
Seasonal Rainfall ◽  
Volatility Clustering ◽  
Arch Effect ◽  
Data Form ◽  
Sample Data

Non-linear characteritics in rainfall allow volatility clustering. This condition occurs in Ambon City with seasonal rainfall patterns. The aims of this research are to find the best model and to forecast monthly rainfall in Ambon City using heteroscedasticity model. This research examines secondary data from BMKG for monthly rainfall data in Ambon City from January 2005 – December 2018. The data is divided into two parts. First part, is called in-sample data, consist of data form January 2005 – December 2017. Second part, is called out-sample data, consist data from Januari 2018 – December 2018. The research used SARIMA–GARCH to model the data. The results are the  is the best model and the residual model satisfied assumptions of normality, white noise, and there is no ARCH effect. The MAPE value in simulation using in-sample data is 0.73%. On the other side, the MAPE value of forecast results is 30%.

scholarly journals Variations in meteorological floods during summer monsoon over India

MAUSAM ◽  
2021 ◽  
Vol 42 (2) ◽  
pp. 167-170
Author(s):  
A. CHOWDHURY ◽  
S. V. MHASAWADE
Keyword(s):  
Summer Monsoon ◽  
Statistical Properties ◽  
Rainfall Data ◽  
Seasonal Rainfall ◽  
Relationship Of ◽  
Flood Index

In this study, rainfall data of 31 mteorological sub-divisioins in India for 113 years (1875-1987) have been used to develop a flood index and statistical properties of the Index are discussed. Relationship of the index with the seasonal rainfall, number of depressions and El-N/no phenomenon are examined. The study revealed that 1971-80 decade, had more number of flood years than the drought years. The flood index was found to be significantly related to flood situation over India. It IS difficult to associate any particular phase of the quasi-biennial oscillations (QBO) with occurrence of floods.

scholarly journals Fuzzy Linear Regression of Rainfall-Altitude Relationship

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 636
Author(s):  
Christos Tzimopoulos ◽  
Christos Evangelides ◽  
Christos Vrekos ◽  
Nikiforos Samarinas
Keyword(s):  
Linear Regression ◽  
Rainfall Data ◽  
Fuzzy Regression ◽  
Annual Rainfall ◽  
Fuzzy Linear Regression ◽  
Error Terms ◽  
Classical Linear Regression ◽  
The One ◽  
The Relationship ◽  
Imprecise Parameters

Classical linear regression has been used to measure the relationship between rainfall data and altitude in different meteorological stations, in order to evaluate a linear relation. The values of rainfall are supposed as dependent variables and the values of elevation of each station as independent variables. It has long been known that a classical statistical relationship exists between annual rainfall and the station elevation which in many cases is linear as the one examined in this article. However classical linear regression makes rigid assumptions about the statistical properties of the model, accepting the error terms as random variables, and the violation of this assumption could affect the validity of the classical linear regression. Fuzzy regression assumes ambiguous and imprecise parameters and data. For this reason it may be more effective than classical regression. In this paper we evaluate the relationship between annual rainfall data and the elevation of each station in Thessaly’s meteorological stations, using fuzzy linear regression with trapezoidal membership functions. In this possibilistic model the dependent measured elevations are crisp, and the independent observed rainfall values as well as the parameters of the model are fuzzy.

scholarly journals Uncertainty in Estimated Trends Using Gridded Rainfall Data: A Case Study of Bangladesh

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 349 ◽  
Author(s):  
Mohamed Salem Nashwan ◽  
Shamsuddin Shahid ◽  
Xiaojun Wang
Keyword(s):  
Spatial Patterns ◽  
Similarity Index ◽  
Skill Score ◽  
Rainfall Data ◽  
Seasonal Rainfall ◽  
Annual Rainfall ◽  
Global Precipitation Climatology Centre ◽  
Rainfall Trends ◽  
Grid Points

This study assessed the uncertainty in the spatial pattern of rainfall trends in six widely used monthly gridded rainfall datasets for 1979–2010. Bangladesh is considered as the case study area where changes in rainfall are the highest concern due to global warming-induced climate change. The evaluation was based on the ability of the gridded data to estimate the spatial patterns of the magnitude and significance of annual and seasonal rainfall trends estimated using Mann–Kendall (MK) and modified MK (mMK) tests at 34 gauges. A set of statistical indices including Kling–Gupta efficiency, modified index of agreement (md), skill score (SS), and Jaccard similarity index (JSI) were used. The results showed a large variation in the spatial patterns of rainfall trends obtained using different gridded datasets. Global Precipitation Climatology Centre (GPCC) data was found to be the most suitable rainfall data for the assessment of annual and seasonal rainfall trends in Bangladesh which showed a JSI, md, and SS of 22%, 0.61, and 0.73, respectively, when compared with the observed annual trend. Assessment of long-term trend in rainfall (1901–2017) using mMK test revealed no change in annual rainfall and changes in seasonal rainfall only at a few grid points in Bangladesh over the last century.

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