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Trend Analysis and Rainfall Variability of Monthly Rainfall in Sheonath River Basin, Chhattisgarh
Hydrological effects comprise the changes in soil use to comprehend the mechanisms of future climate and land use. The significant temporal trend was identified in this study as being performed monthly, seasonal time scales using rainfall data from 39 monitoring stations throughout the Sheonath Basin, subdivided into five effective weighted stations by the creation of Thiessen polygon over Sheonath River Basin in Chhattisgarh State for the period of 1980–2012. Hydro-meteorological factors are evaluated using a combined trend detection technique. The findings show a substantial downward trend at 5% significance level, an average of −0.10 mm per year for all five monitoring stations for the month of March, May, September, October, December, January, and February similar to June, July, August, April, and November reveal the upward trend at 5% significance level, an average of 0.12 mm per year. While the trend continues in various phases such as winter and pre-monsoon seasons, the trend is considerably declining an average of −0.041 and −0.009 mm per year, respectively, for all five monitoring stations and post-monsoon periods; simga, andhayakore, and patharidih monitoring stations represent a downward trend at an average of −0.0084 mm per year. The variability of rainfall has resulted to the conclusion that the amount of rainfall variability decreases by 5.56% compared to the average annual rainfall variability in the Rajnandgaon, Durg, and Kawardha Districts during the Kharif season, and the rainfall variability decreases by 93.14%, 93.88%, and 93.34% compared to the annual average rainfall variability in the Rajnandgaon, Durg, and Kawardha Districts during the rabi season, respectively. Therefore, there is a need for improvement in the eastern zone.
Trend Analysis and Rainfall Variability of Monthly Rainfall in Sheonath River Basin, Chhattisgarh
Hydrological effects comprise the changes in soil use to comprehend the mechanisms of future climate and land use. The significant temporal trend was identified in this study as being performed monthly, seasonal time scales using rainfall data from 39 monitoring stations throughout the Sheonath Basin, subdivided into five effective weighted stations by the creation of Thiessen polygon over Sheonath River Basin in Chhattisgarh State for the period of 1980–2012. Hydro-meteorological factors are evaluated using a combined trend detection technique. The findings show a substantial downward trend at 5% significance level, an average of −0.10 mm per year for all five monitoring stations for the month of March, May, September, October, December, January, and February similar to June, July, August, April, and November reveal the upward trend at 5% significance level, an average of 0.12 mm per year. While the trend continues in various phases such as winter and pre-monsoon seasons, the trend is considerably declining an average of −0.041 and −0.009 mm per year, respectively, for all five monitoring stations and post-monsoon periods; simga, andhayakore, and patharidih monitoring stations represent a downward trend at an average of −0.0084 mm per year. The variability of rainfall has resulted to the conclusion that the amount of rainfall variability decreases by 5.56% compared to the average annual rainfall variability in the Rajnandgaon, Durg, and Kawardha Districts during the Kharif season, and the rainfall variability decreases by 93.14%, 93.88%, and 93.34% compared to the annual average rainfall variability in the Rajnandgaon, Durg, and Kawardha Districts during the rabi season, respectively. Therefore, there is a need for improvement in the eastern zone.
Trend Analysis and Rainfall Variability of Monthly Rainfall in Sheonath River Basin, Chhattisgarh
Lecture Notes in Civil Engineering
Pathak, K. K. (editor) / Bandara, J. M. S. J. (editor) / Agrawal, Ramakant (editor) / Verma, Shashikant (author) / Prasad, A. D. (author) / Verma, Mani Kant (author)
2020-09-28
14 pages
Article/Chapter (Book)
Electronic Resource
English
Trend detection , Rainfall , Kendall tau statistics , Theil–sen slope estimator , Rainfall variability , Rain-fed crop yield Engineering , Building Construction and Design , Geotechnical Engineering & Applied Earth Sciences , Transportation Technology and Traffic Engineering , Geoengineering, Foundations, Hydraulics , Construction Management , Remote Sensing/Photogrammetry
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