Hydro-meteorological investigation in Rispana river catchment, Uttarakhand, India (original) (raw)
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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.
Trend analysis of rainfall in Satluj River Basin, Himachal Pradesh, India
2015
Testing the significance of observed trends in hydro-meteorological time series has received a great attention recently, especially in connection with climate change. The changing pattern of rainfall deserves urgent and systematic attention for planning, development, utilisation and management of water resources. The daily data on variable were converted to monthly and then computed to seasonal and annual series. Annual rainfall (mm/yr) was calculated as the sum of monthly values. The missing values in the data were computed by using average method. The records of rainfall were subjected to trend analysis by using both non-parametric (Mann-Kendall test) and parametric (linear regression analysis) procedures. For better understanding of the observed trends, data were computed into standardised precipitation indices (SPI). These standardised data series were plotted against time and the linear trends observed were represented graphically. Trend analysis results of rainfall show that out of 15 annual trends 6 (40%) are increasing and 9 (60%) are decreasing in nature where 1 (6.6%) is statistically significant (increasing) and 2 (13.3%) are statistically significant (decreasing) at 95% confidence level. Similarly, the changes were investigated for the four seasons: winter (December-March), pre-monsoon (April-June), monsoon (July-September) and post-monsoon (October-November). The analysis of rainfall, annual as well as seasonal, of different gauge stations in Satluj River Basin showed a large variability in the trends and magnitudes from 1984 to 2010. The rainfall shows great temporal and spatial variations, unequal seasonal distribution with frequent departures World Scientific News 14 (2015) 1-55-2-from normal. Majority of gauge stations have experienced decreasing trends, both on seasonal and annual scales. Some were statistically significant at 95% confidence level. The sensitivity of rainfall variations provides important insight regarding the responses and vulnerability of different areas to climate change. It will further strengthen the formulation of future strategy for management of water resources.
The study has been made to detail an account on the environment through rainfall for the area of dindigul using meteorological data for recent decade from the collected data of the Indian Meteorological Department (IMD). All the seasons does not given significant difference in it whereas there is an important note that in 2003 winter were accounted abnormal before the tsunami year 2004 in dindigul. However there could not be a notable relation to the area, the abnormal changes on season in a particular time before a natural process has to be view focused. The graphical methods are clearly revealed the characteristics of rainfall in season wise, annual, and in month wise to brief them in it. Through the histogram curves, it have explained the distribution of the rainfall by the seasons and revealed that monsoon and winter distributed positively. Month wise classifications shown the importance of denser details could enable the broad view of understanding. The correlation implemented that there was a negative relationship with all the seasons among each other. The sudden change in a particular year and season migration has to be looking through properly by monitoring with more importance to prevent the future. Harvesting rain in the monsoon and when ever good rain, could be a moderate to the area. Depletion in climate change has to be to make aware to prevent and predict for the future
Analysis Of Trend And Variability Of Rainfall In The Mid-Mahanadi River Basin Of Eastern India
2016
The major objective of this study was to analyze the trend and variability of rainfall in the middle Mahandi river basin located in eastern India. The trend of variation of extreme rainfall events has predominant effect on agricultural water management and extreme hydrological events such as floods and droughts. Mahanadi river basin is one of the major river basins of India having an area of 1,41,589 km<sup>2</sup> and divided into three regions: Upper, middle and delta region. The middle region of Mahanadi river basin has an area of 48,700 km<sup>2</sup> and it is mostly dominated by agricultural land, where agriculture is mostly rainfed. The study region has five Agro-climatic zones namely: East and South Eastern Coastal Plain, North Eastern Ghat, Western Undulating Zone, Western Central Table Land and Mid Central Table Land, which were numbered as zones 1 to 5 respectively for convenience in reporting. In the present study, analysis of variability and tren...
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/spatial-and-temporal-variability-investigations-of-rainfall-in-yerrakalava-river-basin-of-andhra-pradesh-india https://www.ijert.org/research/spatial-and-temporal-variability-investigations-of-rainfall-in-yerrakalava-river-basin-of-andhra-pradesh-india-IJERTV3IS091131.pdf The present study focuses on analysis of time series of annual rainfall and number of rainy days in Yerrakalava river basin of Andhra Pradesh, India. The results show that mixed trends of increasing and decreasing rainfall and rainy days for various rain gauge stations. The mean annual rainfall of the each station is calculated and shows that the values are in between 1016.54 mm to 1339.29 mm. Also, mean annual rainy days were calculated and are from 52.54 to 60.88 days. Mann Kendall test has applied to rainfall and rainy days, shows that some Rain gauge (RG) stations are increasing trend and some are in decreasing trend. The Zc Values from Mann-Kendall Test are varying in between-0.44 to 0.632 and for rainy days-1.09 to 0.74. It is observed that rainfall and rain days are in correlation with elevation of the area.
2014
The present study focuses on analysis of time series of annual rainfall and number of rainy days in Yerrakalava river basin of Andhra Pradesh, India. The results show that mixed trends of increasing and decreasing rainfall and rainy days for various rain gauge stations. The mean annual rainfall of the each station is calculated and shows that the values are in between 1016.54 mm to 1339.29 mm. Also, mean annual rainy days were calculated and are from 52.54 to 60.88 days. Mann Kendall test has applied to rainfall and rainy days, shows that some Rain gauge (RG) stations are increasing trend and some are in decreasing trend. The Zc Values from Mann-Kendall Test are varying in between-0.44 to 0.632 and for rainy days-1.09 to 0.74. It is observed that rainfall and rain days are in correlation with elevation of the area.
Comparison of recent rainfall trend in complex hilly terrain of sub-temperate region of Uttarakhand
MAUSAM
Agriculture in hill and mountain ecosystem is predominantly rainfed with common occurrence of moisture stress. Due to erratic rainfall and adverse topology in the Indian Himalaya Region (IHR), agricultural drought has become a prime concern. It is a natural disaster which evolves in time and their impacts generally last a long period of time. The present study attempts to characterize annual, seasonal and monthly temporal trend and rainfall pattern of 56 years long-term (1964-2019) and post-urbanization or recent (1980-2019) period using meteorological data of ICAR-VPKAS, Experimental Farm Hawalbagh, Almoraand Headquarter office, Almora observatory located in mid-Himalayan region of Uttarakhand state of India. Man-Kendall (α ≤ 0.05; α ≤ 0.10) test, Sen.'s slope and rainfall anomaly index (RAI) were employed for detecting trend, changes in magnitude of rainfall and identifying rainfall deficit year, respectively. The statistically significant (α ≤ 0.05) decreasing trend was found during post-urbanization (1980-2019) with Sen.'s slope for pre-monsoon season (-2.38 mm/year) and annual rainfall (-7.26 mm/year) for Hawalbagh, while cold winter season shows statistically significant deceasing trend with Sen.'s slope (-2.00 mm/year) at Headquarter office, Almora. The decreasing trend in monsoon season (statistically significant at α ≤ 0.10) was found during (1964-2019). However, both the station showed decreasing rainfall trend for pre-monsoon, post-monsoon, cold winter season and annual season. Results revealed that RAI analysis frequency of drought year was increasing in last 10 years. The results of study will help in understanding the variation and availability of rainfall in different seasons of the year and motivate to adopt effective water management and agricultural practices for rainfed hills. This study will also be useful for regional, scientific and policy makers for preparing appropriate strategies in order to mitigate adverse impact of climate change in mid-Himalayan region.
Investigation of Rainfall Trend in Jorhat Town, Assam, India
Rainfall is the prime source of all water. Jorhat experiences the predominant influence of the south-west tropical monsoon which reigns from June to October with occasional winter showers. Pre-monsoon rain also occurs during April and May with occasional thunder and hailstorm and sometimes it rains from cyclones as well (Anonymous, 2002). Low-pressure areas forming over the Bay of Bengal also causes rainfall over this region. The analysis of rainfall is important as it is the sole source of water for running a Municipality at Jorhat with more than one billion population. Most of the consumable water is collected from surface source of river Bhogdoi. The uncertainty or variability and concentration of rainfall to few months increase the possibility of water scarcity in dry periods. The nature of the variability and extent to concentration is analyzed to understand the causes of water scarcity. Hence, the change in rainfall has been focus of study of a number of scientists as it influences man and environment both. The present study is an attempt to highlight whether rainfall in Jorhat town has been increasing or decreasing over the years (1958-2007) through an analysis of rainfall trends in the area.
Statistical Analysis of Rainfall Event in Seonath River Basin Chhattisgarh
— To understand the mechanism of potential hydrologic impacts of climate and land use land cover changes. In this study identified to the significant temporal trend was carried out monthly, seasonal timescales. Using the rainfall data of 39 Meteorological stations under entire seonath basin which is subdivided into five weighted stations with the help of by creating Thiessen polygon over Seonath River, Chhattisgarh state of 32 years for a period of 1980-2012. Hydro metrological variables are analysed by using a combined Mann-Kendall/Thiel-Sen slope estimator trend detection approach. The results reveal a significant decreasing trend for the month of January, February, March, and may, September, October and December for all the five gauging stations similarly the month of April, June, July, August and November show the significant increasing trend. For all the five gauging stations excluded month of January in simga gauging station shows having no trend. Whereas the trend in different seasons are follows (1) season of winter and pre-monsoon shows significant decreasing trend for all the five gauging stations and post-monsoon season andhyakore, pathridih and simga gauging stations also represents the decreasing trend and (2) the season of monsoon shows increasing trend for all the five gauging stations and seasons of winter and pre-monsoon of ghatora and simga stations also shows the increasing trend.
Rainfall Trend in Semi Arid Region – Yerala River Basin of Western Maharashtra, India
The rainfall is the one of the fundamental physical parameter among the climate as for the development of society is concern and it determines the drought as well as the environmental factors for the particular region. Time-series of annual rainfall, number of rainy-days per year and monthly rainfall of 10 stations were analyzed to assess climate variability in semi-arid region of Western Maharashtra. The results showed mixed trends of increasing and decreasing rainfall, which were statistically significant (p < 0.05 and p < 0.01) only for Koregaon and Palus stations by the Mann–Kendall test. Also, with the exception of Vita and Vaduj stations there was no statistically significant trend in the mean number of rainy-days per year. Increasing and decreasing monthly rainfall trends were found over large continuous areas in the study region. These trends were statistically significant mostly during the winter and spring seasons, suggesting a seasonal movement of rainfall concentration. Results also showed that there is no significant climate variability in the semi-arid environment of Western Maharashtra.