2 edition of Analysis of rainfall variability and drought occurences in Rajasthan. found in the catalog.
Analysis of rainfall variability and drought occurences in Rajasthan.
|Series||Geographical papers / University of Reading Department of Geography -- 113|
Statistical Analysis of 30 Years Rainfall Data: A Case Study G Arvind, P Ashok Kumar, S GirishKarthi and C R Suribabu* School of Civil Engineering, SASTRA University, Thanjavur – , India. *Email: [email protected] Abstract. Rainfall is a prime input for various engineering design such as hydraulic structures,Cited by: 1. arid part has high rainfall variability and is severely affected drought prone region compared to the rest of the Rajasthan, as east and southern parts experience higher rainfall and less variability. On the contrary, the analysis of years of meteorological data shows that standard deviations (SD).
study targ ets to identify drought using Standardized Precipitation Index Rajasthan Water Resource Department. Result from the analysis shows that the year was the year of severe drought fo r 1m - and extreme drought for 3m -, 6m - time scales. Keywords Rainfall, Drought, Standardized Precipitation Index, Ajmer, Rajasthan Water Resource. Variability of monsoon rainfall The variability in rainfall is a major cause of drought. The percentage of variability is inversely related to the total rainfall.
RAINFALL TRENDS AND VARIABILITY CHAPTER ONE INTRODUCTION BACKGROUND TO THE STUDY Rain is liquid water in form of droplets that have condensed from atmospheric water vapor and then precipitated that is, become heavy enough to fall under gravity (Mordurch, ; Sala and Lauenroth, ). Rain is a major component of the water cycle and is responsible for depositing . 1. Introduction. Increased frequency and severity of droughts caused by rising temperature and changing precipitation have been reported in many parts of the world (Duffy et al., ; Gocic and Trajkovic, ; Hui-Mean et al., ; Zhao and Dai, ).Droughts are directly related to water availability and therefore, changes in drought characteristics as a result of climate change will Cited by:
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Analysis of rainfall and drought in rajasthan state, india 17 4. 2 SPI analysis Twelve maps were obtained from SPI analysis of 3, 6, 12, 24 months, highlighting stations with higher. Get this from a library. Analysis of rainfall variability and drought occurences in Rajasthan.
[Ram Doi]. ANALYSIS OF RAINFALL AND DROUGHT IN RAJASTHAN STATE, INDIA 15 Table 1. SPI drought classes S. No Criteria of SPI values Type of drought 1. to Mild drought. Similarly from SPI drought analysis both short term and long term, higher tendency of mild droughts is observed than moderate and severe droughts with a noticeable increase in occurrence of severe.
Analysis of ENSO-based climate variability in modulating drought risks over western Rajasthan in India Article (PDF Available) in Journal of Earth System Science (1) February with Reads. The present research investigation was undertaken to work out the rainfall variability analysis at Barmer and Jaisalmer districts of Rajasthan.
Daily rainfall data of 31 years () was used for weekly analysis to study the variability and the probability level of occurrence. The coefficient of variation. The study area for drought analysis is Jodhpur district in Rajasthan state. The map of study area is shown in Figure: 1.
Jodhpur district is one of the largest district of Rajasthan which is situated in Western region of the state with total geographical area of sq. Kilometers. Rainfall in Rajasthan.
RajRAS. J 0. The principal rainy season when the Rajasthan state receives 91% of its annual rainfall is during the South-West monsoon. The total normal annual rainfall in the state varies from cm over the South-Eastern parts to 14 cm over the extreme North-Western parts. Drought in north and northwest Bangladesh especially during pre‐monsoon is a frequent phenomenon because of high rainfall variability (Shahid, ).
No significant decrease of dry months is observed in this part of the country, and therefore it is not possible to conclude that the situation of crop water stress during pre‐monsoon will be Cited by: The region is divided into four climate zones (East Coast, Mountains, Gravel Plains and Desert Foreland) of distinguished rainfall distribution.
The rainfall patterns, rainfall probability of occurrences, rainfall intensity‐duration‐frequency (IDF) relationship, probable maximum precipitation (PMP) and drought scenarios were by: This study examined the extent of seasonal rainfall variability, drought occurrence, and the efficacy of interpolation techniques in eastern Kenya.
Analyses of rainfall variability utilized rainfall anomaly index, coefficients of variance, and probability analyses. Spline, Kriging, and inverse distance weighting interpolation techniques were assessed using daily rainfall data and digital Cited by: Modeling of rainfall variability and drought assessment in Sabarmati basin, India _____ 94 Bora P.K, Karmakar R.M, Kurmi K, Debnath M.
C – “Rainfall Analysis for drought investigation in Central Brahmputra Valley of Assam”. Bordi I, Fraedrich K. and Sutera A – “Observed drought and wetness.
This paper reported rainfall variability and drought characteristics under climate change in two agro-climatic zones of southwestern Nigeria. The study used quantitative and qualitative research methods to assess anomalies in seasonal rainfall amounts, probabilities of dry spells, and perceptions of farmers on impacts of drought and their coping strategies in different agro-climatic by: Conway (), after analyzing data for longer period of time in Wollo and Tigray, had concluded absence of evidence for a long-term trend or change in the annual rainfall except a slight increase in belg rainfall (from s up to ) and very slight decrease in kiremt rainfall up Cited by: Trend analysis and variability in precipitation series have been investigated by many researchers throughout the world.
The findings have indicated that there is a declining as well as an increasing trend of rainfall (Philandras et al. ) in the majority of Mediterranean regions with the exception of northern Africa, southern Italy and the western Iberian by: The annual average rainfall in state of Rajasthan during these 50 years has been depicted in Figure Figure The Annual Average Rainfall in Rajasthan () The analysis of rainfall variability of the state has been carried out on the basis of co-efficient of variation dividing the time span of to into units of 5 years each.
The study was undertaken to determine rainfall variability and droughts in arid and semi-arid lands (ASALs) of Baringo County. The study used rainfall data for Perkerra Agricultural Research Station (LM5) and Nginyang rainfall station (IL6) for the period and respectively.
Standardized anomalies were calculated and plotted to establish trends of drought events across the Author: Richard Ochieng, Charles Recha, Bockline Omedo Bebe, George Morara Ogendi. Modeling of rainfall variability and drought assessment in Sabarmati basin, India _____ 32 Chapter-4 Analysis on Rainfall Variability and Distribution Introduction The distribution pattern of rainfall in the state of Gujarat is most uneven and varies considerably from year to year and region to region.
The state of Gujarat hasFile Size: KB. Analysis of Historical Rainfall Data for Drought Investigation Using Standard Precipitation Index Vol. 13 30).In India, the highly drought prone areas lie in the states of Rajasthan, Uttar Pradesh, Karnataka and Odisha (Gupta et al., ).Droughts in these areas occur more frequently.
Also, the drought File Size: KB. as drought-prone, Rajasthan is the most critical state in the country with highest probabilities of drought occurrence and rainfall deficiencies (Rathore, ). In more recent times, Rajasthan has experienced severe and frequent spells of droughts than any other region in India.
According to study. 1. Introduction. Drought is recognized as a slow-onset natural hazard that originates from a deficiency of rainfall over a prolonged period (Dubrovsky et al., ) and also described as inequality of water is known as the global costliest climatic hazard that causes destruction on the agriculture and ecosystem in term of economy, social and the nature (Wilhite, ).Cited by: To achieve this, a climatic index (CI) analysis of rainfall was employed to ascertain the extent of drought occurrences using standard deviation as a tool for rationalization.Analysis of Rainfall and Temperature Variability Over Nigeria.
By Akinsanola A. A & Ogunjobi K. O. Federal University of Technology, Nigeria. Abstract-This study investigates rainfall and temperature variabilities in Nigeria using observations of air temperature (C) and rainfall (mm) from 25 synoptic stations from o (30years).File Size: KB.