Analysis and prediction of reference evapotranspiration with climate change in Xiangjiang River Basin, China

Water Science and Engineering

Yu-kun Hou¹  Meng-xuan Jie²  Xin-e Tao²  Chong-yu Xu²  Hua Chen² 

[1] Department of Geosciences, University of Oslo, Oslo N-0316, Norway;State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;

关键词: Reference evapotranspiration (ET0);    Spatial-temporal variation;    Climate change;    Statistical downscaling;    Xiangjiang River Basin;   

DOI  :  

来源: DOAJ

【 摘 要 】

Reference evapotranspiration (ET0) is often used to estimate actual evapotranspiration in water balance studies. In this study, the present and future spatial distributions and temporal trends ofin the Xiangjiang River Basin (XJRB) in China were analyzed.during the period from 1961 to 2010 was calculated with historical meteorological data using the FAO Penman-Monteith (FAO P-M) method, whileduring the period from 2011 to 2100 was downscaled from the Coupled Model Intercomparison Project Phase 5 (CMIP5) outputs under two emission scenarios, representative concentration pathway 4.5 and representative concentration pathway 8.5 (RCP45 and RCP85), using the statistical downscaling model (SDSM). The spatial distribution and temporal trend ofwere interpreted with the inverse distance weighted (IDW) method and Mann-Kendall test method, respectively. Results show that: (1) the mean annualof the XJRB is 1 006.3 mm during the period from 1961 to 2010, and the lowest and highest values are found in the northeast and northwest parts due to the high latitude and spatial distribution of climatic factors, respectively; (2) the SDSM performs well in simulating the presentand can be used to predict the futurein the XJRB; and (3) CMIP5 predicts upward trends in annualunder the RCP45 and RCP85 scenarios during the period from 2011 to 2100. Compared with the reference period (1961 to 1990),increases by 9.8%, 12.6%, and 15.6% under the RCP45 scenario and 10.2%, 19.1%, and 27.3% under the RCP85 scenario during the periods from 2011 to 2040, from 2041 to 2070, and from 2071 to 2100, respectively. The predicted increasingunder the RCP85 scenario is greater than that under the RCP45 scenario during the period from 2011 to 2100.

【 授权许可】

Unknown