Variability and Time Series Trend Analysis of Rainfall Over Krishna District of Andhra Pradesh: a Case Study
M. Rushi Kumar1, M. Naveen2, M. Sai Pravallika3, Sanjeet Kumar4
1M. Rushi Kumar, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Guntur (A.P), India.
2M. Sai Pravallika, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Guntur (A.P), India.
3M. Naveen, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Guntur (A.P), India.
4Dr. Sanjeet Kumar, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Guntur (A.P), India.
Manuscript received on 04 May 2019 | Revised Manuscript received on 16 May 2019 | Manuscript Published on 28 May 2019 | PP: 720-726 | Volume-7 Issue-6C2 April 2019 | Retrieval Number: F11330476C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Spatial-temporal variability of meteorological variables in the framework of changing climate is predominant. At the same time, if agriculture in those areas is depending on rainfall, then variables especially rainfall plays a vital role to assess climate-induced changes. Such types of studies will suggest feasible adaptation strategies of those particular areas. Spatial-temporal variability in rainfall has been focus of research over the past decade around the world due rainfed agriculture in developing country. Present study focus on rainfall variability and time series analysis of historical meteorological data of Krishna district, Andhra Pradesh, India using mann-kendall technique. Krishna district have importance in agriculture and it is upcoming urban area in Andhra Pradesh in terms of industrial and population growth. In the present study, the temporal variability is done for the annual time series of grid data over the period of 1977-2007 using Mann-Kendall technique. At the same time wet and dry day analysis was also performed, which shows increase in dry days and decrease in wet day over the area. With the results of this study, we can suggest some adaptation measures to increase the water availability of the region for the agriculture and population growth for the sustainable development of the region in the future with changing climate.
Keywords: Climate, Krishna, Parametric, Rainfall, Variability.
Scope of the Article: Structural Reliability Analysis