Rainfall Variability Estimation for Western Rajasthan, India (original) (raw)
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International Journal of Chemical Studies, 2018
Long term rainfall data of 40 year from (1973-2015) at five districts viz. Balrampur, Jashpur, Koriya, Surajpur and Surguja districts of northern hill zone of Chhattisgarh has analyzed here to story the trend and variability analysis. The rainfall data collected from department of agrometeorology, IGKV Raipur. This data was analyzed by using weather cock and Mann Kandell software. Rainfall trend was also analyzed through linear regression line. The data revealed the average annual rainfall of (1146), (1396.6), (1235), (1215) and (1360.4) mm respectively for selected districts viz. Balrampur, Jashpur, Koriya, Surajpur and Surguja. When we compare the rainfall pattern of these five districts, a decreasing trend of annual rainfall was reported significant only in Balrampur and Koriya at 5% level of significance. Seasonal (south west monsoon) rainfall trend has been showing a significantly decreasing trend at Jashpur and Koriya at 5% level of significance. When we estimate the coefficient of variation, it has been found highest 28.06% in Surajpur district with least amount of rainfall while it was least (18.20%) in Jashpur district and it was almost similar in Balrampur 26.89% Korea 27.02 and Surguja 26.12% in general the annual CV varried from 18-29%. The coefficient of variation of rainfall shows bellow 50% at all the five districts. South west monsoon season was found least variation with highest rainfall in all the districts.
Study of rainfall pattern in Chaksu Tehsil, Jaipur, Rajasthan, India
Sustainability, Agri, Food and Environmental Research
The water storage beneath the ground surface is the function of the Rainfall in an area. The underground water is the main source of irrigation and effect the agriculture production. So directly or indirectly the rainfall influences the agriculture. The years with the good rainfall enjoy the high agriculture production as the requirement of water is facilitated. The paper presents the rainfall pattern for last 25 years in study area with the analysis of variation of rainfall year by year. For the study, different techniques and tools are employed so the variation where it is seasonal or annual can be shown.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2021
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
Rainfall Variability Analysis in Namakkal District, Tamil Nadu
Climatic factor plays a major role in Indian agriculture in that rainfall play a key role. Being rainfall is the important factor for agriculture normally has to rely on secondary data. The study area taken for this analysis is Namakkal district of Tamil Nadu. The extent of the area is extends between 11 0 00' to 11 0 36'10 " north Latitudes and 77 0 40' to 78 0 30'00 " east longitudes. It is purely a semi arid region and agriculture normally depends on seasonal characteristics of rainfall. This study seeks to understand the rainfall behavior of the study area. The rainfall data used for this analysis is from 1980 – 2013. In this analysis rainfall variability has been calculated to find out the dependability of rainfall over the study area. From the analysis it is to be identified that Paramathy location has more than 50% of CV in both the monsoon season. To understand the long term changes in rainfall trend analysis has also been studied over the area. All the results got from the analysis has been mapped cartographically using GIS. It is a powerful tool for representation and analysis of spatial information related to rainfall analysis. The output has been prepared using Arc GIS 9.3. I. INTRODUCTION Rainfall, being considered as the prime input for agriculture has its own erratic behavior in terms of amount and distribution. For better crop planning, a detailed study on rainfall behavior is vital. Rainfall variability, both in time and space influences the agricultural productivity and sustainability of a region, as opined by Virmani (1994). Rainfall analysis for crop planning was carried out in different regions of the country as reported by Marviya et al. (1991). The annual and seasonal rainfall received and its variability directly influences the success or failure of crops through its beneficial or adverse effect their growth and yield. Therefore, the study of variability of annual and seasonal rainfall is essential in selection of suitable crops and to take appropriate mitigating measures based on rainfall characteristics. Agriculture being mainly rainfed in Namakkal region of Tamil Nadu state is characterized by uneven and erratic distribution of rainfall. Since rainfall is the only source of moisture, the spatio-temporal distribution of rains holds the key in determining the fate of entire crop productivity in the region. There are so many authors studied about the rainfall variability, Krishnakumar and Prasad Rao (2008) reported rainfall variability in Gujarat and Kerala state respectively. Halikatti et al. (2010) reported annual and seasonal rainfall variability at Dharwad, Karnataka. A similar attempt was made to analyze the rainfall distribution pattern in monthly, seasonally and annually for Raichur region.
VARIABILITY ANALYSIS OF RAINFALL IN RAJASTHAN
Rajasthan is a water-scarce state and therefore there is a need for various researches to assess the present trends of rainfall due to the adverse effect of climate change. We have taken Rajasthan state for the trend and statistical analysis. We have divided Rajasthan into five regions, Eastern Rajasthan, Western Rajasthan, Northern Rajasthan, Central Rajasthan, and Southern Rajasthan which covers whole Rajasthan. We have taken the data of thirty years of Rajasthan State from 1986-2016 and we have done the trend analysis as well as statistical analysis. This project will help to study the present and past trends of rainfall in Rajasthan along with the prediction of future trends. This will also help to plan irrigation projects, water storage systems as well as water recharge systems for Rajasthan.
Rainfall Trend Analysis in Tehsils of Palghar District, Maharashtra State, India
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2021
Abstract: A detailed trend analysis of monthly 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. In this study, to analyse the trend, the non-parametric test (Mann-Kendall test) and Sen’s slope estimator were used. For developing a functional relationship between variables, a linear trend of rainfall data for the studied area evaluated using the linear regression. The results showed that the trend analysis of monthly rainfall has a varied trend of rainfall in the rainy months in tehsil of Palghar District. The month of July significant increasing trend was observed at Jawhar (42.91 mm/year), Vikramgad (29.90 mm/year), Wada (24.06 mm/year), Talasari (31.36 mm/year), Palghar (25.299 mm/year), Mokhada (29.96 mm/year) and Dahanu (38.14 mm/year), whereas non-significant increasing trend 2.76 mm/year was observed at Vasai tehsil of Palghar District during 1998-2019. The month of June, August, September and October rainfall did not show any significant trend in tehsil of Palghar District and non significant decreasing as well as non significant increasing trend was observed in tehsil of Palghar District during 1998 – 2019. The result concluded that annual rainfall trend was increased in Jawhar, Vikramgad, Wada, Talasari, Palghar, Mokhada and Dahanu; whereas Vasai tehsil rainfall trend was decreased in tehsil of Palghar District during 1998 -2019.
Rainfall Variability Analysis of Saurashtra Region of Gujarat
International Journal of Advanced Research in Biological Sciences, 2023
Understanding rainfall variability is crucial for effective water management, agricultural planning, and disaster preparedness in the region. Statistical analysis of rainfall data plays a vital role in identifying long-term climate changes, assessing the likelihood of drought or flood events, and developing predictive models. Droughts occur when prolonged periods of below-average rainfall lead to water scarcity and moisture stress. They have severe implications for agriculture, resulting in crop failures, livestock losses, and economic hardships for farmers. Conversely, sporadic floods arise when intense rainfall exceeds the region's capacity to absorb and drain water effectively. The study area for the statistical analysis includes 36 rainfall stations in the Saurashtra region. The analysis covers monthly and seasonal rainfall data from 1980 to 2019, and the aforementioned parameters are calculated to assess rainfall variation.The coefficient of variation (%CV) for monthly rainfall ranges from 65% to over 100%, highlighting significant variability. Months with higher average rainfall, like July and August, exhibit less variability compared to months with lower average rainfall, such as June and September. Coastal districts near the Arabian Sea experience high rainfall variability, making them more susceptible to extreme climatic conditions like droughts and floods. Statistical analysis of rainfall patterns provides valuable insights into the variability of rainfall in the Saurashtra region. It helps identify areas with high variability and assesses the reliability of rainfall as a consistent source for crop production. This information is crucial for water resource management, agricultural planning, and mitigating the impact of droughts and floods in the region.
Long term rainfall variability and trend analysis in lower Shivaliks of Punjab, India
MAUSAM
The trend analysis of historical rainfall data on monthly, annual and seasonal basis for three locations in lower Shivaliks of Punjab, viz., Patiala-ki-Rao (1982-2015), Ballowal Saunkhri (1987-2015) and Saleran (1984-2017) has been done in the present study using linear regression model, Mann Kendall test and Sen’s slope. Further, the data for annual and seasonal rainfall and rainy days has also been analyzed on quindecennial basis, i.e., for the period of 1986-2000 and 2001-2015. The analysis of data showed that annual rainfall in the region ranged from 1000 to 1150 mm. The trend analysis of the data shows that the monthly rainfall is decreasing at Patiala-ki-Rao and Saleran, however, the trend was significant for May at Patiala-ki-Rao; and in March and November at Saleran. At Ballowal Saunkhri, the decreasing trend is observed from May to October, however, the trend is significant only in August. The decrease in annual and monsoon rainfall is about 13 to 17 mm and 12 to 13 mm per ...