Impact of Climate Change Using Trend Analysis of Rainfall, RRL AWBM Toolkit, Synthetic and Arbitrary Scenarios

Main Article Content

Ayushi Trivedi
S. K. Pyasi
R. V. Galkate


The integrated approach for assessment of the impact of climate change is important, as climate impacts are likely to transcend sectoral or regional boundaries, with impacts of change in hydrological and geological behaviour of one sector affecting the behaviour of another or simultaneously any other sector, or region, to respond. Modelling is often used by hydrologists in the analysis of empirical data to gain insights into the underlying dynamics of simulated runoff and its trend changing pattern. Thus, these models extrapolate from a climate-related (usually temperature-related) relationship derived by observations and experiment. The climate changes have adverse and drastic impacts on climate-sensitive sectors such as water resources, agriculture and ultimately livelihood and economy of the people. Thus consequently increase or decrease in temperature, rainfall and other climatic parameters due to climate change affect the river discharge, flood, reservoir storages, groundwater levels, soil moisture, evapotranspiration, crop production, sea levels etc. Keeping this insight patches of major changes from the whole study area were selected to assess the intensity of rainfall, discharge and the incremental impact of rainfall. The temporal analysis in selected patches revealed that increment and decrement in the study area simultaneously affect the runoff by the same proportion. The trend generated through the Mann-Kendall test not only helped in assessing the impact of climate change but also identified its causative actors. The results of the study can effectively be utilized for setting priorities of hydrological behaviour in different geographical regions at various scales.

RRL AWBM toolkit, Mann-Kendall test, incremental method, hydrological, spatial, temporal.

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How to Cite
Trivedi, A., Pyasi, S. K., & Galkate, R. V. (2019). Impact of Climate Change Using Trend Analysis of Rainfall, RRL AWBM Toolkit, Synthetic and Arbitrary Scenarios. Current Journal of Applied Science and Technology, 38(6), 1-18.
Original Research Article


Yu B, Zhu Z. A comparative assessment of AWBM and SimHyd for forested watersheds. Hydrological Sciences Journal.2014;60:7-8.

Yu B. How would peak rainfall intensity affect runoff predictions using conceptual water balance models. Proc. IAHS. 2015;371:109–115.

Haifang Y, Changsing S, Wenwei S, Bai J and Yang H. Impacts of climate change and human activities on runoff and sediment load of the Xiliugou basin in the Upper Yellow river. Advances in Meterology. 2015;48(17):12.

Meng F, Su F, Yang D, Tong K, Hao Z. Impacts of recent climate change on the hydrology in the source region of the Yellow River basin. Journal of Hydrology: Regional Studies. 2016;6:66-81.

Wuebbles D, Ciuro D. Radiatively important atmospheric constituents, in: Engineering response to climate change. 2013;76:45–48.

Wane SS and Nagdeve MB. Estimation of evapotranspiration and effective rainfall using CROPWAT. Internat. J. Agric. Engg. 2014;7(1):23-26.

William ER. Assessing the social implication of climate fluctuations, a guide to climate impact studies. Department of Geography and National Hazards Center, University of Colorado Boulder. 1988;56: 65-69.

Xiong YJ, Qiu GY, Yin J, Zhao SH, Wu XQ, Wang P and Zeng S. Estimation of daily evapotranspiration by three-temperatures model at large catchment scale. Hydrological Processes 2016;3:4-9.

Zhang H, Jianyu Q, Singh L, Xihui V, Chen G, Xiaohong. Evaluation of impacts of climate change and human activities on streamflow in the Poyang Lake basin China. Hydrological Processes. 2016; 7(6 ):22-29.

Tran HD, Molavi S, Muttil N. Assessment framework for the impacts of climate change and urbanization on urban drainage systems. American Society of Civil Engineers. 2011;1403-1412.

Vinithra R, Yeshodha L. Rainfall-runoff modelling using SCS-CN method: A case study of Krishnagiri district, Tamilnadu. International Journal of Science and Research.2013;6:35-39.

Ward AD, Trimble SW and Wolman MG. Environmental hydrology. 2nd edition, Lewis publishers, Boca Raton, Florida. 2004;4:3-8.

Silberstein RP, Aryal SK, Durrant J, Pearcey M, Bracci M, Charles SP, Boniecka L, Hodgson GA, Bari MA, Viney NR and McFarlane DJ. Climate change and runoff in south-western Australia. Journal of Hydrology. 2013;475:441- 455.

Mugume I, Shen S, Tao S, Mujuni G. Analysis of temperature variability over desert and urban areas of Northern China. J. Climatol. Weather Forecast. 2016;4:1-9.

Gilbert, RO. Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold, New York; 1987.

Gleick P, Shiklomanov IA. The impact of climate change for water resources. Second meeting of IPCC WG-2, WMO/UNEP, Geneva; 1989.

Bronstert A. Effects of climate and land-use change on storm runoff generation. Hydrological Processes. 2002;16(2):509–529.

Froehlich DC. Graphical calculation of small catchment peak discharge. Journal of Irrigation and Drainage Engineering. 2012;138:245–256.

Jones RN, Chiew FHS, Boughton WC, Zhang L. Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models. Advances in Water Resources. 2005;23: 27-29.

Jones RN, Chiew FHS, Boughton WC, Zhang L. Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models. Advances in Water Resources. 2006; 29(10):1419-1429.

Kumar PS, Praveen TV, Prasad MA. Artificial Neural Network model for rainfall-runoff -A case study. International Journal of Hybrid Information Technology. 2016; 9(3):263-272.

Kumar R, Chatterjee G, Singh C, Kumar S. Runoff estimation for an ungauged catchment using geomorphological instantaneous unit hydrograph (giuh) models. Hydrological Processes. 2013; 21(14):1829–1840.

Singh V, Kumar V, Agarwal A. Reference-evapotranspiration by various methods for Kashmir valley. Journal of Indian Water Resources Society. 2006;26:3-4.

Nkomozepi H, Chung T, Sang K. Uncertainty of hydro-meteorological predictions due to climate change in the republic of Korea. Journal of Korea Water Resources Association.2014;47:22-28.

Patel A, Sharda R, Patel S, Meena P. Reference evapotranspiration estimation using CROPWAT model at Ludhiana district (Punjab). International Journal of Science, Environment and Technology. 2017;6(1):620–629.

Perraud JM, Podger GM, Rahman JM, Vertessy RA. A new rainfall runoff software library. Cooperative Research Centre for Catchment Hydrology, CSIRO Land and Water, Canberra; 2016.

Uniyal B, Jha MK, Verma AK. Assessing climate change impact on water balance components of a river basin using SWAT model. Water resources management. 2015;29(13):4767-4785.