Spatio -Temporal Long-Term Variability and Trend Analysis of Precipitation and Temperature Series in the Ghataprabha (K3) Sub basin of Krishna Basin
Nagendra1, Nagraj S. Patil2, Nataraja M.3, Kulkarni Shashikanth4
1Nagendra, Dept. of Water & Land Management, Visvesvarayya Techn ological University, Belagavi, India.
2Nagraj S. Patil, Dept. of Water & Land Management, Visvesvarayya Technological University, Belagavi, India.
3Nataraj M, Dept. of Water & Land Management, Visvesvarayya Techn ological University, Belagavi, India.
4Kulkarni Shashikanth, School of Civil Engineering, Osmania Universi ty, Telangana, India.
Manuscript received on 26 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 2547-2552 | Volume-8 Issue-11, September 2019. | Retrieval Number: K18140981119/2019©BEIESP | DOI: 10.35940/ijitee.K1814.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Changing Climate is one of the most significant ecological issue, with the implications for agricultural production, water resource, energy and some other aspects of human well-being. Analysis of changing climate is important to assess climate-induced changes through the analysis of variability of climatic parameters such as temperature, precipitation, runoff and groundwater to suggest feasible adaptation strategies. This paper aims the long-term variability of rainfall and temperature using gridded daily data obtained from India Meteorological Department with 0.250 resolution from 1901-2016 for precipitation and 10 resolution from 1969-2005 for temperature (re-gridded to IMD 0.250 gridded location) in Ghataprabha sub basin (K3) of Krishna basin. The analysis of variability and trend in precipitation and temperature carried out by using coefficient of variation (CV), rainfall and temperature anomaly and also Mann-Kendall (MK) test was used to detect the time series trend. Statistical analysis of variability and trend in annual, Indian Summer Monsoon (ISMR) rainfall and temperature observed that i) there is an intra and inter annual variability of precipitation in the sub basin ii) test results revealed that the annual and ISMR trend appears to be increased by 0.12 & 0.14, iii) the Mann-Kendal trend test also analysed for annual minimum, mean and maximum temperature over the K3 sub basin (1969-2005) shows increasing trend by 0.06, 0.21 and 0.40. This analysis revealed that, there is an increasing trend in annual rainfall and temperature observed over the study region.
Keywords: Co-efficient of Variability, Ghataprabha Sub basin (K3), Mann-Kendall Trend Test, Rainfall, Temperature.
Scope of the Article: Building Climate Systems