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Influence of climate variability on corn water requirement: A case study of Binh Thuan Province, Vietnam

DOI: 10.31830/2348-7542.2019.070    | Article Id: 005 | Page : 488-494
Citation :- Influence of climate variability on corn water requirement: A case study of Binh Thuan Province, Vietnam. Res. Crop. 20: 488-494
Seung Kyu Lee, Truong An Dang leesungkyu@tdtu.edu.vn; dtan@hcmus.edu.vn
Address : 1Sustainable Management of Natural Resources and Environment Research Group Faculty of Environment and Labour Safety, Ton Duc Thang University, 19 Nguyen Huu Tho Str., Tan Phong Ward, Dist. 7, Ho Chi Minh City, Vietnam e-mail: leesungkyu@tdtu.edu.vn; 2VNU-HCM, University of Science, 227 Nguyen Van Cu Str., 5 Dist., Ho Chi Minh City, Vietnam, dtan@hcmus.edu.vn

Abstract

The study was conducted to estimate the potential impacts of climate variability (ICV) on corn water requirement in Binh Thuan Province, Vietnam. Current meteorological data (2000–15) at study area were obtained from Vietnam Ministry of Natural Resources and Environment (VMNRE), while the future climate data were derived from the future climate projections of six global circulation models (ECHAM5, CCSM, HadCM3, CSIROMK3.0, CGCM3.1 and MIROC3.2) applying the bias-correction method based on power law transformation for two future time scales (2020s and 2055s) of Representative Concentration Pathway (RCP) 4.5 emission scenario. The results showed that under the impacts of climate variability both three corn crops needed more water than in the stage of 2016–35, while the stage of 2046–65 and 2080–99, a slight downward trend recorded for both three corn crops. Results implied that a significant increase in rainfall trend under the impacts of climate variability led to the decline in the corn water requirement for three corn crops across the study area in the stage 2016–35. In general, the high increase in the rainfall volume can led to a decline of the corn water requirement down to 30% in the stage 2016–35 of RCP4.5 scenario compared to baseline.

Keywords

Climate variability  crop model  rainfall variation  RCP4.5 scenario.

References

Global Footprints