Assessment of Climate Change Impact using Hydro-meteorological indicators-Rainfall, Temperature and Runoff in Mazam river watershed, India
DOI:
https://doi.org/10.17501/2513258X.2019.3101Keywords:
Temperature analysis, Climate change scenario, Trend analysis, Rainfall-RunoffAbstract
Changing climate has significant impact on the river hydrology and water resources. An assessment of the availability of water resources in the context of future requirement and expected impact of climate change and its variability is critical for relevant national and regional long-term development strategies and sustainable development. Changes in the climate have been assessed through assessing the Metrologic parameters such as daily maximum and minimum temperature of the month, daily average temperature, annual rainfall, monthly rainfall of the monsoon season, and maximum daily rainfall of the year, number of rainy days in the year and number of rainy days in each month of monsoon season. It is observed that the 1) Maximum daily temperature shows increasing trend in summer season (March to June) and shows reducing trend in winter season (October to February) in the study area. This is indicative of extreme weather in climate change/advance scenario. 2) The monthly rainfall trend shows increasing trend for the magnitude of annual rainfall shows increasing trend in the study area. 3) The number of rainy days in the monsoon season (June to October) shows reducing trend. Rainfall-Runoff regression analysis has been carried out for base line and advance/climate change scenario to investigate the impact of climate change on Water Resources. This study will be helpful to water resources planners and decision makers regarding the strategies to be followed in view of changing climate.
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References
Balasubramanian A., 2017, Element of Climate and Weather, Centre for Advanced Studies in Earth Science, University of Mysore, Mysore.
Bhaskaran B., Mitchell J., Lamry I. and Lal M., 1995, Climatic response of the Indian subcontinent to doubled CO2concentrations, International Journal of Climatology, 15(8), 873–892. doi: 10.1002/joc.3370150804.
Boulariah, O., Longobardi, A. and Meddi, M. , 2017, Statistical Comparison of nonlinear rainfall-runoff models for simulation in Africa North-West semi-arid areas, 15th International conference on Environment Science and Technology, CEST2017 (00694),1–4.
Donkor, S. M. K. and Wolde, Y. E., 2001, Integrated water resources management in Africa: Issues and options, United Nations Economic Commission for Africa, December, United Nations Economic Commission for Africa, pp. 1–20. doi: 10.13140/RG.2.2.34258.35529.
Faramarzi, M. et al., 2013, Modeling impacts of climate change on freshwater availability in Africa , Journal of Hydrology. Elsevier B.V., 480, 85–101. doi: 10.1016/j.jhydrol.2012.12.016.
Gocic, M. and Trajkovic, S. , 2013, Analysis of changes in meteorological variables using Mann-Kendall and Sen’s slope estimator statistical tests in Serbia, Global and Planetary Change. Elsevier B.V., 100, 172–182. doi: 10.1016/j.gloplacha.2012.10.014.
Guhathakurta, P. and Saji, E. , 2013, Detecting changes in rainfall pattern and seasonality index vis-à-vis increasing water scarcity in Maharashtra, Journal of Earth System Science, 122(3), 639–649. doi: 10.1007/s12040-013-0294-y.
Kendall, M.G., 1975, Rank Correlation Methods, Griffin, London, UK.
Kumar V, Jain, S. and Singh Y., 2010, Analysis of long-term rainfall trends in India, Hydrological Sciences Journal, 55(4), 484–496. doi: 10.1080/02626667.2010.481373.
Kumar N. et al., 2013, Climate Change Implications on Water Resources in India-Review, Environment and Ecology, 31(2C), 1085–1091.
Mamuye, M., 2018, Review on Impacts of Climate Change on Watershed Hydrology, Journal of Environment and Earth Science, 1, 91-99.
Mango, L. M. et al., 2011, Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: Results of a modeling study to support better resource management, Hydrology and Earth System Sciences, 15(7), 2245–2258. doi: 10.5194/hess-15-2245-2011.
Mann, H.B., 1945, Nonparametric tests against trend, Econometrica,13, 245–259.
Mondal, A., Kundu, S. and Mukhopadhyay, A. , 2012, Rainfall Trend Analysis by Mann-Kendall Test: a Case Study of North-Eastern Part of Cuttack District, Orissa, International Journal of Geology, Earth and Environmental Sciences, 2(1), 2277–208170. doi: 10.1017/CBO9781139013895.014.
Önöz, B. and Bayazit, M., 2003, The power of statistical tests for trend detection, Turkish Journal of Engineering and Environmental Sciences, 27(4),247–251.
Oza, M. and Kishtawal, C., 2014, Trends in Rainfall and Temperature Patterns over North East India, Earth Science India, 7(IV), 974–8350.
Oza, M., Kishtawal, C. and Centre S., 2014, Spatial analysis of Indian summer monsoon rainfall, Earth Science India, 7 (IV), 90 - 105.
Raneesh K., 2014, Impact of Climate Change on Water Resources, Journal of Earth Science & Climatic change, 5, 185-190, doi:10.4172/2157-7617.1000185
Seacrest, S. and Kuzelka, R., 2000, Global Climate Change And Public Perception : resource stakeholder organizations to list and’, Journal of The American Water Resources Association, 36(2), 253–263. doi: 10.1016/j.lrp.2004.07.006.
Sen, P.K., 1968, Estimates of the regression coefficient based on Kendall's tau, Journal of the American Statistical Association, 63, 1379–1389.
Sitterson, J. et al., 2017, An Overview of Rainfall-Runoff Model Types, United State Environment Protection Agency,September, pp. 0–29.
Solanki P and Shreemali N., 2014, A Study of Change in Rainfall Pattern in Dhatarwadi Reservoir Catchment , Amreli , Gujarat, IJSART, 1(11), 2259–2262.
