Study of rainfall pattern in Chaksu Tehsil, Jaipur, Rajasthan, India (original) (raw)
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Acta scientific agriculture, 2021
The Haridwar belong to Western Himalayan Region with geographical coordinates are 29.948 deg latitude, 78.160 deg longitude. The trend analysis of rainfall pattern in Haridwar is studied through time series analysis of rainfall for a long period of 20 years. The Kharif crops production is dependent on this rainfall. The average annual rainfall of region during 1999-2018 is 1051mm. and south west monsoon rainfall 925.9 mm observed.. The annual rainfall in year 2007 showing the highest positive rainfall anomaly (2.31) while the other years show rainfall below normal with 2009 Showing the lowest negative rainfall deviation (-2.03). and the South west (1999 to 2018) rainfall of Haridwar District in year 2018 showing the highest positive rainfall anomaly (2.15) while the other years show rainfall below normal with 2009 Showing the lowest negative rainfall deviation (-2.05). The R 2 value-1.408 means that only-140.8 percent variations is observed in twenty years. The maximum South west rainfall recoded 1564 mm in year 2008 and lowest rainfall recoded 439 mm in year 2001. The annual rainfall highest SIAP value 2.31 is observed in year 2007 whereas highest negative value-2.03 is observed in year 2009. The Southwest rainfall highest SIAP value 2.15 observed in year 2018 whereas lowest SIAP value-2.05 observed in year 2009. On the basis, the future forecast of rainfall for a period of ten years from 2019 to 2030 has been observed a negative trend for the coming years. In future, expected annual rainfall may be more in year 2030 observed 1024.9 mm in the district. In future, expected annual rainfall may be less in year 2030 observed 1025 mm in the District. The south west rainfall in the year 2030; expected rainfall may be 922.8 mm. The trends are showing increasing trend pattern from year 2019 to 2030. The trend analysis gives the scenario of current to expected future situation. Water is a vital component for agricultural crops and in abnormal period crops are irrigated by available source viz. tube well, submersible, canal, irrigation channels and other sources. The statistical analysis of annual and south west rainfall of the study area will help to better water management. Today rainfall is not regular fashion so farmers are not more dependent much more on rainfall. The source of irrigation, mechanization and knowledge of current situation of weather and climate change related pattern and adaptation of technology is maintain to crops yield trend.
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.
Analysis of Rainfall Characteristics in semi arid region of Sangli District, India
International Journal of Emerging Technologies and Innovative Research, 2019
Water scarcity is a leading concern in both arid and semi arid regions. In this article the seasonal and annual rainfall and rainy days data is analysed for the years 1980-2012 to understand rainfall fluctuations in semi arid region of Sangli District of Yerla River basin, Maharashtra. The study area lies in the rain shadow zone of basaltic Deccan Traps region and receives 632.22 mm average annual rainfall. In the area the early rains are scanty and the late rains are capricious, so drought occurs repetitively. The monthly and annual rainfall and rainy days data of Vita and Tasgaon stations obtained from India Meteorological Department were analysed on the computer using Microsoft Excel. Correlation between average annual rainfall and average rainy days are calculated for each station. Temporal variations in rainfall are observed with wet and dry spells during the rainy season. September is the wettest month followed by June, October, July and August. There are little or no rainfall occurred in the pre monsoon period from February to May and sporadic showers occurred during the post monsoon period from mid October to January in the region. Nature and distribution of rainfall are essential for watersheds management and allied studies.
A Spatio Temporal Study of Rainfall Distribution in Ahemdnagar District
2013
Climate plays an important role in the development of any region. Rainfall and temperature are the two important climatic factors which determine the climatic condition of any place. Ahmednagar district is a drought-prone area and it is situated in the central part of Maharashtra state. Intergovernmental Panel on Climate Change (IPCC, [5]) reports, frequency of droughts as well as extreme events will be increase and rainfall pattern will also change which is a key factor influencing economic growth of the regions, especially in the country like India where the 70 percent people are directly or indirectly depends on agriculture. But agriculture is hanging on Monsoon, erratic in nature. It also has great variations in spatiotemporally, those fluctuations extremely damaging agriculture, food security, health and many more. Therefore, the present study has been conducted in order to help farmers, researchers, economists, and policymakers to make fast decisions for better planning propose with variations of rainfall.
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 ...
Statistical analysis of rainfall pattern and trend of Parbhani district, Maharashtra
International Journal of Statistics and Applied Mathematics, 2024
Rainfall regime is perhaps the most important factor in determining the potential productivity of various agricultural activities. To analyze, the extent of variation in the rainfall pattern in the study area, the short term time series weather data was used for a period of 10 years i.e. from 2013-2023 and the annual rainfall data was obtained from the department of Agrometeorology, College of Agriculture, Vasantrao Naik Matrathwada Krishi Vidyapeeth, Parbhani. The data related to production of crops were collected from Government of Maharashtra statistical database. The statistical descriptive measures namely, mean, standard deviation (SD), Coefficient of variation (CV), Minimum, Maximum, Skewness, Kurtosis have been calculated. Using linear trend, the change in rainfall has been evaluated. It is observed that district receives maximum amount of rainfall that the district receives the maximum amount of rainfall from the southwest monsoon, around 81.61 per cent from June to September, the district receives 17.39 per cent in June and 26.96, 15.33 and 21.93 per cent rainfall in the month of July, August and September, respectively. The rainfall in Parbhani district showed considerable variation from year to year, with both positive and negative deviations from the normal levels with some years experiencing significant deviations from the normal rainfall affecting both surplus and deficit conditions across the prevailing seasons. Monsoonal rainfall is correlated with crop production. The correlation values between crop production and monsoon rainfall give an insight into how dependent each crop is on monsoon rains Pulses like tur, green gram and black gram have higher correlations with monsoon rainfall indicating they are highly sensitive to monsoon variations. Oilseeds like groundnut, sesamum and soybean have relatively low correlations, which may indicate adaptability or the availability of irrigation in growing region. The findings suggest a need for improved rainfall forecasting and adaptive agricultural strategies to mitigate the effects of both years of deficit and years of excessive rainfall. The district experienced periods of excess rainfall and drought-like conditions, leading to an unpredictable agricultural environment.
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
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.
Rainfall trend analysis of three rain gauge stations of Sabarmati river basin, India
Journal of emerging technologies and innovative research, 2020
Rainfall variations are a common scenario everywhere around the globe. Especially in India the rainfall distribution is heterogeneous in nature. The rainfall trend and pattern change every year in each part of the country. The rainfall depends on the land uses and land cover distribution of the catchment area. The anthropogenic activities are also responsible for the change in rainfall trends over the decades. The main objective of the paper is to compare the rainfall distribution of three rain gauge stations namely Derol, Jotasan and Kheroj respectively of Sabarmati river basin. And to detect the trend analysis of rainfall pattern of three rain gauge stations. And also to identify maximum and minimum years, months of rainfall and number of rainy days in three gauge stations. Environmental conservation should be given more priority than other anthropogenic activities. IndexTerms-Rainfall, trend analysis, annual rainfall, anthropogenic activities, environment. I. INTRODUCTION: India is a country of distributed rainfall which is always changing its precipitation patterns due to changes in recent climatic conditions. Rainfall distribution in India is heterogeneous in nature over the decades. The anthropogenic activities of human beings are the main cause of these drastic changes in our environment. Now days the rain fall pattern and distributions is continuously changing with every passing year around the world. As well as the rainfall intensities are also increased dramatically in the world.
Assessment of Trend and Variability of Rainfall at Upper Seonath River Basin
CSVTU research journal, 2021
The quantitative analysis of the rainfall events is one of the significant techniques for effective management of hydrological system. Evaluating the spatial and temporal complexities of meteorological parameters in the perspective of climate transition, especially in countries where rain fed farming is predominant, is essential for assessing climate-induced changes and suggesting suitable management approaches. The variability of the annual rainfall has great implications for the planning of irrigation related projects and thus such studies are critical for the planning of agriculture in India. Agriculture is one of the important activities that are highly influenced by the variation of rainfall and temperature. This is an attempt to analyze one of the most significant climate variables i.e. precipitation, to analyze the trend in rainfall in the area. Rainfall variability can be calculated in many ways, both in terms of time and location. Evaluation of rainfall events can be helpful to identify the climatic condition of the particular region. The magnitude or variations of factors differs depending on wherever the area is located [1]. This study is an attempt to investigate about the spatio-temporal variability of rainfall at Upper Seonath basin. Mann-Kendall test has been used to analyze the trend in rainfall data at different gauging stations and the Sen's slope method has been used to determine the magnitude of the change [2]. Trend analysis is one of the active area of interest to investigate the rainfall variability over the years. Trend analysis for the observed rainfall series was undertaken using Mann-Kendall test. Innovative trend analysis was considered to be an effective method for detecting the overall trend of rainfall events [3]. Long term annual average rainfall and coefficient of variability at each station have been computed and Geographic Information System (GIS) has been used to represent the spatio-temporal variation of rainfall. Daily rainfall data of 34 years from 1980 to 2013 has been analysed in the study to find out the variability of rainfall. Trend analysis of rainfall events on yearly basis represents declining trend across the study region [4].