Impact of Climate Change on Cropwater Requirement for Sunei Medium Irrigation Project, Odisha, India

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2016 by IJETT Journal
Volume-34 Number-8
Year of Publication : 2016
Authors : Satyapriya Behera, Deepak Khare, Prabhash Kumar Mishra, Sangitarani Sahoo
DOI :  10.14445/22315381/IJETT-V34P271


Satyapriya Behera, Deepak Khare, Prabhash Kumar Mishra, Sangitarani Sahoo "Impact of Climate Change on Cropwater Requirement for Sunei Medium Irrigation Project, Odisha, India", International Journal of Engineering Trends and Technology (IJETT), V34(8),358-367 April 2016. ISSN:2231-5381. published by seventh sense research group

The natural process and man-made activities in the watershed have influenced the climate change and induce the hydrology of the watershed along the temporal scale. Increase in emission of greenhouse gas into atmosphere might induce in climate pattern in future. Many researchers have been incorporated climatologicall cycle and its variability into the water resources system modelling in the recent past. Change on climate could affect the metrological parameters and which directly lead to change in irrigation water requirement in agriculture. In this study, an effort has been made to assess the impact of climate change on crop water requirement in Sunei command area (Bhudhabalang Basin) of Mayurbhanj district Odisha, India. For this study, daily meteological data like maximum temperature , minimum temperature, wind speed, sunshine hours, humidity and precipitation data are used. Crops and cropping pattern data are used for the study area. Future climate data predicate for the period 2025, 2050 and 2080 considering both A2 and B2 scenario using GCM HadCM3. Crop evapotranspiration (ETo ) was calculated using mean monthly climate and rainfall data with help of CROPWAT 8.0. Then crop water requirement (CWR) was determined for each crop of the project area of the study area. Results confirm the clear impact of climate change on crop water requirement of Kharif and Rabi crops. It shows that both H3A2 and H3B2 scenarios crop water requirements increases where as for some Rabi season crops like Dalua rice, Groundnut, Mustard crop water requirements decreases in future for H3B2 scenario. The increase or decrease are consider compared to base period 2010. To meet the increase water demand and to increase yield for future, water resources can be increased by doing water conservation practices, small barrages and farm ponds near command area. Groundwater should be used as conjunctive use at peak requirement period.


1) Arneli NW(2004) Climate change and global water resources: SRES emission and socio economic scenarios, Global Environmental Change 14: 31-52.
2) Askew AJ (1987) Climate change and water resources, IAHS Publication 168: 421-430.
3) Bardossy A (1997) Downscaling from GCM to local climate through stochastic linkages. J Environ Manage 49:7- 17.
4) Chatterjee S K, Banerjee S and Bose M (2012) Climate Change Impact on Crop Water Requirements in Ganga River Basin, West Bengal, India DOI:10.7763/IPCBEE, 3rd International Conference on Biology, Environment and Chemistry, IPCBEE vol.46 pp 17-20.
5) Chattopadhyay N, Hulme M (1997) Evaporation and potential evaporation in India under conditions of recent and future climate change. Agriculture and forest Meteorology 87: 55-73.
6) Chaudhari K N, Oza M P, Ray S S (2009) Impact of climate change on yields of Major Food Crops in India, ISPRS Archives XXXVIII-8/W3 Workshop Proceeding: Impact of climate change on Agriculture, pp 54-60.
7) Crawford T, Bretts NS, Favis-Mortlock D (2007) GCM grid-box choice and predictor selection associated with statistical downscaling daily precipitation over Northern Ireland. Clim Res 34:145-160.
8) De Silva, CS (2007) Predicting The Impact of Climate Change –A case study of Paddy Irrigation Water Requirements in Sri Lanka, Agriculture Water Management 93: pp19-29.
9) Doll P (2002) Impact of climate change and variability on irrigation requirements: A global perspective. Climate change 54: 269-293.
10) Ghosh S Mujmudar PP (2006) Future rainfall scenario over Orissa with GCM projections by statistical downscaling. Curr Sci 90(3): 396-404.
11) IPCC (2000) IPCC special report: Emission Scenarios, Intergovernmental panel on climate change.
12) Kannan S, Ghosh S (2010) Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output. Stoch Environ Res Risk Assess. DoI:10.1007/s00477-010-0415-y.
13) Kodra E, Ghosh S, Ganguly AR (2012) Evaluation of global climate models for Indian monsoon Climatology. Environ Res Lett. Doi; 10.1088/1748-9326/7/1/014012.
14) Kumar, SN et al. (2011) Impact of climate change on crop Productivity in Western Ghats, Costal and Northeastern Regions of India, Current Science, Vol. 101, No.3.
15) Leavesley GH (1994) Modeling the effect of climate change on water resources- a review. Climate change 28: 159-177.
16) Mall RK Gupta A, Singh R, Singh RS, Rathor LS (2006) Water resources and climate change : an Indian perspective. Current Science 90: 1610-1626.
17) Manekar V, Bharadiya N (2012) Climate Change Impact on crop productivity using Miami Model for Model for Barodi Area. Gujurat’ International Conference of Chemical, Bio- Chemical and Environmental Science (ICBEE’20120 December 14-15, 2012 Singapore, pp 23-36.
18) Maurer EP, Adam JC, Wood AW (2008) Climate model based consensus on the hydrologic impacts of climate change to Rio Lempa basin of Central America. Hydrological and Earth System Sciences 5: 3099-3128.
19) Mbaye Diop (2006) Analysis of Crop Water Use in Senegal with the CROPWAT Model, GEF funded project: Regional Climate, Water and Agriculture: Impact on and Adaption of Agro-ecological System in Africa, CEEPA, pp 1-18.
20) Mishra PK, Khare D, Mondal A, Kundu S (2014) Multiple Linear Regression Based Statistical Downscaling of Daily Precipitation in a canal command. Climate Change and Biodiversity Vol.1 73-83-DoI: 10.1007/978-4-431-54838-6.
21) Mohan S, Ramsundram N (2014), Climate Change and its Impact on Irrigation Water Requirements on Temporal Scale Vol. 3, Issue 1.
22) Molua E L, Lambi C M (2006) Assessing The Impact of climate change on Crop water use and crop water Productivity. The Cropwat Analysis of Three Districts in Cameroon”, GEF funded project: Climate Change Impacts on Adaption of Agro-ecological Systems in Africa, CEEPA, pp 1-44.
23) Ojha CSP, Goyal MK, Adeloye AJ (2010) Downscaling and neural networks. Open Hydrol J 4:122-136
24) Parekh F Prajapati K P (2013) Climate change Impacts on crop water requirements for Sukhi Reservoir Project, vol. 2, pp 4685-4692.
25) Raje D, Mujumdar PP (2009) A conditional random field ebased downscaling method for assessment of climate change impact on multisite daily precipitation in the Mahanadi basin. Water Resour Res 45:1-20.
26) Rehana S Mujumdar PP (2012) Regional Impacts of Climate Change on Irrigation Water Demands, DoI: 10.1002/hyp. 9379, Hydrological Process.
27) Raje D, Mujumdar PP (2011) A comparison of three methods for downscaling daily precipitation in the Punjab region, Hydrol Process 25:3575-3589.
28) Rodriguez Diaz JA, Weatherhead EK, Knox JW, Camacho e (2007) Climate Change impacts on irrigation water requirements in Guadalquivir river basin in spain. Regional Environmental Change 7: 149-159.
29) Salath’e EP (2003) Comparison of various precipitation downscaling methods for the simulation of stream flow in a rainshadow river basin, International Journal of Climatology 23, 887-901.
30) Wilby RL, Wigley TML (1997) Downscaling general circulation model output: a review of methods and limitations. Progr Phys Geogr 21:530-548.
31) Wilby RL, Dawson CW (2007) SDSM 4.2- A decision support tool for the assessment of regional climate change impacts UK.

Climate change, Evapotranspiration, Statistical Downscale Model, CROPWAT, Cropwater requirement.