scholarly journals Statistical Analysis of Rainfall Variability for Tehsils of Palghar District, Maharashtra State, India

2021 ◽  
Vol 9 (VII) ◽  
pp. 2602-2618
Author(s):  
Dr. Sumit M. Dhak
Keyword(s):  
Statistical Analysis ◽  
Monsoon Season ◽  
Rainfall Variability ◽  
Daily Rainfall ◽  
Annual Rainfall ◽  
Department Of Agriculture ◽  
Average Annual Rainfall ◽  
Detailed Statistical Analysis ◽  
Annual Total ◽  
The Mean

A detailed statistical analysis of monthly, seasonal and annual rainfall for Tehsils of Palghar district were carried out using 22 years (1998-2019) daily rainfall data taken from Department of Agriculture, Maharashtra State. The mean, standard deviation and coefficient of variation for monthly, seasonal and annual rainfall were computed for tehsils of Palghar districts. The month of July received maximum monthly mean rainfall for all years (1998 to 2019) in tehsils of Palghar district. The result showed that monthly mean rainfall in month of July was maximum at Jawhar (1147.1 mm) followed by Vikramgad (1071.9 mm), Talasari (1014.3 mm), Vasai (1009.9 mm), Wada (998.5 mm), Mokhada (949.6 mm), Palghar (948.7 mm) and Dahanu (841.6) with contributes 40.4 %, 39.1 %, 38.5 %, 35.4 %, 37.3 %, 37.3 %, 36.9 % and 36.3 % of the annual mean rainfall (1998 to 2019) respectively. The result showed that contribution of rainfall during Monsoon season ranges from 95.5 % to 97.0 % of the annual total rainfall for tehsils of Palghar District. The result showed that average annual rainfall (1998 to 2019) of Vasai, Jawhar, Vikramgad, Wada, Talasari, Palghar, Mokhada and Dahanu were 2855.9 mm, 2839.1 mm, 2738.9 mm, 2674.0 mm, 2633.3 mm, 2570.8 mm, 2543.6 mm and 2318.5 mm respectively.

scholarly journals Precipitation characteristics over Paradeep

MAUSAM ◽  
2021 ◽  
Vol 49 (3) ◽  
pp. 321-324
Author(s):  
T. R. SIVARAMAKRISHNAN ◽  
J. R. PRASAD
Keyword(s):  
Monsoon Season ◽  
Daily Rainfall ◽  
Annual Rainfall ◽  
Monsoon Period ◽  
Mean Annual Rainfall ◽  
Precipitation Characteristics ◽  
The Mean ◽  
Rainfall Climatology

The daily rainfall records since 1976 and the SRRG records after its installation in 1982 at Paradeep have been analysed and rainfall climatology has been worked out. The heaviest 24-hour rainfall recorded at the station is 264 mm on 4 June 1982. The mean annual rainfall is 1475 mm. January and December are near dry months while August is the wettest month getting about 339 mm rainfall. The variability of annual rainfall here is 20 %. Light rainspells giving a total rain of 10 mm or less form about 50% occasions in pre-monsoon period and 63% of occasions in monsoon period. The extended rainspells lasting for more than 4 hours form about 10% of occasions in pre-monsoon season and 6% occasions in monsoon season. While morning (04-08 hr IST) period gets the rainfall in both pre-monsoon and monsoon months, early night gets the peak rainfall activity during the pre-monsoon months.

A Note on Rainfall Variability and Trends in Nigeria: Implications for Agricultural Production*

2021 ◽  
pp. 232102222110514
Author(s):  
Kolawole Ogundari ◽  
Adebola Abimbola Ademuwagun ◽  
Ogechukwu Appah
Keyword(s):  
Food Security ◽  
Coefficient Of Variation ◽  
Agricultural Production ◽  
Hypothesis Test ◽  
Rainfall Variability ◽  
Climatic Variability ◽  
Least Square ◽  
Annual Rainfall ◽  
Average Annual Rainfall ◽  
Over Time

The climatic change crisis has led to a renewed interest in understanding the dynamic of climatic variability over time. This is because rainfall variability in response to climate change poses a severe threat to global food security and agricultural production in general. As a result of this, the study investigates the convergence of rainfall variability in Nigeria. We use historical climate data on annual rainfall collected from meteorological stations across 12 states and covering 1992–2013. This gives rise to a balanced panel data of 12 states and 20 periods, which yields 240 observations. The study used a sigma convergence hypothesis test estimated using ordinary least square, fixed-effect and feasible generalized least square models. The coefficient of variation is taken as a measure of rainfall variability in the study. The results showed a negative (declining) linear correlation between rainfall’s coefficient of variation and data year. This means that rainfall variability decreased over time. This indicates evidence of convergence of rainfall, which means states with lower average annual rainfall are catching up on states with higher average annual rainfall over time. And, from the agricultural production standpoint, this result shows that the potential threat of rainfall variability to food security is not severe. In addition, it indicates a decrease in risk and uncertainty in food crop production associated with rainfall variability. JEL Classifications: O13, O55, Q10, Q54

scholarly journals Rainfall Characteristics in Ahmednagar District of Maharashtra State

2021 ◽  
pp. 355-362
Author(s):  
Dr. Vasudev S. Salunke ◽  
Pramila. P. Zaware
Keyword(s):  
Temporal Variability ◽  
Rainfall Variability ◽  
Annual Rainfall ◽  
Agricultural Activity ◽  
Spatial And Temporal Variability ◽  
Agricultural Activities ◽  
Short Term ◽  
Rainfall Distribution ◽  
Rainfall Characteristics ◽  
Average Annual Rainfall

Rainfall is one of the vital form of precipitation which affects not only agricultural activity but also entire ecology in any region. Hence rainfall distribution and its trends in district is important to understand water availability and to take decisions for the agricultural activities in area. This research paper is an effort to assess the spatial and temporal rainfall variability of Ahmednagar district of Maharashtra State. Ahmednagar is popularly known as the largest district of Maharashtra with fourteen Talukas. The average annual rainfall of this district is 621 mm with an average of 46 rainy days. In this study the spatial and temporal rainfall distribution of this district is taken in to account. Short-term annual rainfall data are considered from 1998 to 2014. The daily rainfalls of monsoon months of all the fourteen Taluka are analyzed for the year 2015.It was found that spatial and temporal variability is high in the District.

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 Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

2020 ◽  
Vol 102 (3) ◽  
pp. 829-849 ◽  
Author(s):  
Richarde Marques da Silva ◽  
Celso Augusto Guimarães Santos ◽  
Jorge Flávio Cazé Braga da Costa Silva ◽  
Alexandro Medeiros Silva ◽  
Reginaldo Moura Brasil Neto
Keyword(s):  
Regional Scale ◽  
Temporal Analysis ◽  
Northeastern Brazil ◽  
Annual Rainfall ◽  
Positive Trend ◽  
Monthly Data ◽  
Rainfall Trends ◽  
Detailed Statistical Analysis ◽  
The Mean ◽  
Spatial Temporal Analysis

Abstract The main goals of this study are to better understand the spatial and temporal variabilities in rainfall and to identify rainfall trends and erosivity for the period from 1963 to 1991 in the Epitácio Pessoa reservoir catchment, which is located in Paraíba, northeastern Brazil. This study analyzes annual rainfall trends on a regional scale by using monthly data from 13 rainfall stations. For this purpose, the nonparametric Mann–Kendall and Sen methods were used in the analysis. Descriptive statistics methods and interpolation techniques were also used for spatial–temporal analysis of the annual rainfall. A detailed statistical analysis applied to the time series of all the stations indicates that the rainfall presents substantial annual spatial–temporal variability and a negative trend (decrease) in the mean rainfall at most of the rainfall stations in the catchment during the study period. The results only showed a positive trend for the Soledade and Pocinhos stations. The distribution of positive and negative trends in the Epitácio Pessoa reservoir catchment is extremely irregular, and the changes in the study area are more significant compared to those identified in other studies. Graphic abstract

scholarly journals Indicator-Based Assessment of Drought in Bhilwara District, Rajasthan

2021 ◽  
pp. 141-153
Author(s):  
Gaurav Sharma ◽  
Chandra Kishor Kumar ◽  
Rishi Pathak
Keyword(s):  
Indian Monsoon ◽  
Rainfall Variability ◽  
Daily Rainfall ◽  
Rain Gauge ◽  
Annual Rainfall ◽  
Drought Frequency ◽  
Arid Conditions ◽  
Dry Spells ◽  
Water Scarce ◽  
Rainfall Departure

Management of water resources helps to sustain even in drastic conditions resulted due to unprecedented disruption in rainfall patterns. Change and irregularity in the pattern of the Indian monsoon are the outcomes of human-induced activities. Inadequate water availability affecting various sectors namely domestic, industrial, and agricultural sectors that are dependent upon it. To cope under such drastic conditions adaptability and planning prior to its occurrence plays a significant role. It is under this context, the present study investigated drought characteristics which include drought frequency and severity caused by prolonged dry spells in Bhilwara district, Rajasthan. The district falls in the water-scarce regions with arid to semi-arid conditions and with an average annual rainfall of 658.03 mm. Due to high rainfall variability, the region is frequently subsumed under drought-like conditions. Comprehensive analysis using daily rainfall data from 1973-2018 for 12 rain gauge stations in Bhilwara district has been carried out. Most of the stations were drought-prone assessed by probability analysis using Weibull’s plotting position formula. The departure analysis showed that Kotri station has a maximum drought frequency of 1 in 2 years while other stations were having a drought frequency of 1 in 3 to 4 years. Prioritization of drought-prone stations based on rainfall departure analysis helps to initiate an immediate mitigation process based on the ranking of its proneness. Asind and Bhilwara station with RDI 0.91 has maximum proneness and its calls for effective planning for drought management. Based on seasonal departure analysis it is found that 1980, 1981, 1985, 1987, 2000, 2002, 2008, 2015, and 2017 are drought years. The result has been supplemented using NDVI so that the vegetation condition can also be assessed during water stress conditions. The study highlighted that the frequency of drought has increased owing due to climate change and thus, poses serious challenges if not tackle adequately.

scholarly journals Rainfall and drought characteristics for crop planning in Palamau region of Jharkhand

MAUSAM ◽  
2021 ◽  
Vol 65 (1) ◽  
pp. 67-72
Author(s):  
PRAGYAN KUMARI ◽  
RAJAN KUMAROJHA ◽  
AWADOOD WADOOD ◽  
RAMESH KUMAR
Keyword(s):  
Temporal Variability ◽  
Daily Rainfall ◽  
Agricultural Drought ◽  
Annual Rainfall ◽  
Monsoon Period ◽  
Production Risk ◽  
Annual Basis ◽  
Average Annual Rainfall ◽  
Meteorological Droughts

Daily rainfall data of 56 years (1956-2011) of Palamau district of Jharkhand have been considered to analyse the long term average and its temporal variability on weekly, monthly, seasonal and annual basis. The average annual rainfall at Palamau was 1138 mm with 34 per cent coefficient of variation indicating thereby that the rainfall was not much stable over the years. July was the highest rainfall recipient month (332 mm) followed by August (310 mm) during the monsoon period. Trend analysis on rainfall of past 56 years exhibited a decreasing pattern of 8.33 mm and 7.04 mm per year in annual and kharif season rainfall, respectively. Agricultural drought was most frequently observed in early (23-26 SMW) as well as late (37-40 SMW) stages of kharif crops. Meteorological droughts of different intensities, viz., mild, moderate and severe over the observed periods showed that station is prone to mild-moderate type of drought. Short duration, low water requiring but high value crops like maize, pulses, oilseeds and some vegetables can be opted for this region to minimize the production risk.

scholarly journals Study the rainfall variability and impact of El Nino episode on rainfall and crop productivity at Parbhani

MAUSAM ◽  
2021 ◽  
Vol 71 (2) ◽  
pp. 285-290
Author(s):  
DAKHORE K K ◽  
KADAM Y E ◽  
KUMAR P VIJAYA
Keyword(s):  
El Niño ◽  
Negative Impact ◽  
El Nino ◽  
Rainfall Variability ◽  
Crop Productivity ◽  
Negative Influence ◽  
Seasonal Rainfall ◽  
Annual Rainfall ◽  
Black Gram ◽  
The Mean

The weekly rainfall data for 36 years (1981-2016) recorded at Vasantrao Naik Marathwada  Krishi Vidyapeeth, Parbhani were analyzed for mean seasonal, weekly rainfall and also weekly rainfall probabilities. The mean seasonal rainfall was 796 mm, received in 38 rainy days. The seasonal rainfall indicated that there is 53% chance of receiving less than 700 mm with variable intensities and 36% chance of getting more than normal rainfall and 11% chance of seasonal rainfall, in between 700 mm to 800 mm. The mean weekly rainfall during crop season was 45.8 mm with a CV of 116%. Highest mean weekly rainfall was recorded 71.8 mm with SD (95.3) and CV (132.7%) in 30th MW. Sowing of Kharif crops should be undertaken during 24th MW to 27th MW. Significant and positive correlation between yield and rainfall was observed for Soybean, Pigeonpea, Black gram, Green gram and rice. The predictability of productivity of crops using seasonal rainfall is 10-20% variation in productivity for all the crops at the Centre. The El Nino episode was negatively influencing Southwest monsoon and annual rainfall as well as rainfall during the months of July and September. El Nino episodes exhibit more negative influence on productivity of all the crops except rice crop. Among the different categories of El Nino, weak events exerted more negative impact on productivity of short duration crops (i.e., sorghum, soybean and Black gram)  as compared to moderate and strong El Nino events.

scholarly journals Analysis of rainfall by using Mann-Kendall trend, Sen’s slope and variability at five districts of south Gujarat, India

MAUSAM ◽  
2021 ◽  
Vol 68 (2) ◽  
pp. 205-222 ◽  
Author(s):  
NEERAJ KUMAR ◽  
C. C. PANCHAL ◽  
S. K. CHANDRAWANSHI ◽  
J. D. THANKI
Keyword(s):  
Standard Deviation ◽  
Monsoon Rainfall ◽  
Monsoon Season ◽  
Rainfall Variability ◽  
Winter Season ◽  
Annual Rainfall ◽  
Present Contribution ◽  
Sen’S Slope ◽  
Post Monsoon ◽  
Data Points

On the basis of past 115 years (1901-2015) rainfall data of five districts of south Gujarat, the Mann-Kendall trend, Sen’s slope and regression slope showed that annual and monsoon rainfall at Valsad, Dang and Surat shows the increasing trend while, that of Navsari and Bharuch districts are declining. The monsoon season (summer monsoon) rainfall variability of Valsad, Dang, Surat, Navsari and Bharuch districts was recorded is 30.1%, 30.9%, 35.9%. 33.3% and 38.6%. The high coefficient of variation (CV) denoted that the variability of rainfall is not equally distributed and the amount of rainfall is lowest. The Bharuch district the annual and monsoon CV per cent denoted that the variability of rainfall in both seasons are very high. Valsad was recorded lowest CV with highest rainfall while the data are represent that variability of rainfall which can varies Bharuch to Dang in different districts of south Gujarat. The data shows that Dang district comes under high rainfall and Bharuch under low rainfall on south Gujarat. A low standard deviation indicates that the data points tend to be close to the mean of the set, while a high standard deviation indicates that the data points are spread out over a wider range of values. Similarly high SD is reported at Dang district because of high range of rainfall and lowest SD is found at Bharuch district because of low rainfall variability. The rainfall distribution different season viz., pre monsoon, monsoon post monsoon and winter season, the highest present contribution of rainfall is observed during monsoon season followed by post monsoon in all the five districts of south Gujarat. Rainfall contribution during remaining months was less than one per cent. While month wise analysis shows during monsoon season highest rainfall per cent contribution to annual rainfall is in July followed by August and June months at all the five districts of south Gujarat.

scholarly journals ARENIZAÇÃO NO BRASIL:

2019 ◽  
Vol 8 (2) ◽  
pp. 01-11
Author(s):  
Ivamauro Ailton de Sousa Silva ◽  
Dirce Maria Antunes Suertegaray
Keyword(s):  
Meteorological Data ◽  
Rainfall Variability ◽  
Annual Rainfall ◽  
Distribution Characteristics ◽  
Thematic Maps ◽  
Rainfall Distribution ◽  
Study Results ◽  
Average Annual Rainfall ◽  
Different Climates ◽  
Meteorological Institute

A finalidade desta pesquisa é caracterizar e comparar a dinâmica pluviométrica das áreas de ocorrência do processo de arenização no território brasileiro. Os estudos sobre arenização aqui registrados, situam-se nos munícipios de Quaraí (RS), Paranavaí (PR), Itirapina (SP), Buritizeiro (MG), Serranópolis (GO), Gilbués (PI), Reserva do Cabaçal (MT) e Manaus (AM). Na perspectiva climática, o artigo realiza um comparativo dessas áreas, evidenciando as características acerca do regime e distribuição pluvial. Para isso, a pesquisa foi constituída através de revisão bibliográfica, elaboração de mapas temáticos, coleta e análise de dados meteorológicos disponibilizados pelo Instituto Nacional de Meteorologia, para 8 estações representativas das diferentes localidades com ocorrência de arenização. Como resultados, o trabalho revela as seguintes asserções: a) considerando a tipologia climática brasileira, o processo de arenização pode ocorrer sob diferentes climas; subtropical, tropical subúmido e equatorial; b) a pluviometria é variável durante o ano para as diferentes localidades; c) a pluviosidade média anual, em todas as áreas analisadas, é superior a 1.100 mm; d) períodos de estiagem são comuns nas áreas com clima tropical subúmido. Palavras-chave: Arenização, Variabilidade Pluviométrica, Espacialização. Abstract The aim of the present study is to characterize and compare the rainfall dynamics of occurrence areas concerning arenization processes throughout the Brazilian territory. Arenization studies registered in the country are located in the municipalities of Quaraí (RS), Paranavaí (PR), Itirapina (SP), Buritizeiro (MG), Serranópolis (GO), Gilbués (PI), Cabaçal Manaus (AM). Concerning a climatic perspective, this study carried out comparisons between these areas, evidencing regime and rainfall distribution characteristics. The research comprised a bibliographical revision, the elaboration of thematic maps and the collection and analysis of meteorological data made available by the National Meteorological Institute, for 8 representative stations of the different localities where arenization is detected. The study results reveal the following investigations: a) considering Brazilian climatic typology, arenization processes can occur under different climates, subtropical, tropical subhumid and equatorial; b) rainfall is variable throughout the year for the different localities; c) the average annual rainfall in all analyzed areas is over 1,100 mm; d) drought periods are common in areas presenting a subhumid tropical climate. Keywords: Arenization, Rainfall Variability, Comparisons.

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