Estimation of open water evaporation using land-based meteorological data
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Water surface evaporation is an important process in the hydrologic and energy cycles. Accurate simulation of water evaporation is important for the evaluation of water resources. In this paper, using meteorological data from the Aixinzhuang reservoir, the main factors affecting water surface evaporation were determined by the principal component analysis method. To illustrate the influence of these factors on water surface evaporation, the paper first adopted the Dalton model to simulate water surface evaporation. The results showed that the simulation precision was poor for the peak value zone. To improve the model simulation’s precision, a modified Dalton model considering relative humidity was proposed. The results show that the 10-day average relative error is 17.2%, assessed as qualified; the monthly average relative error is 12.5%, assessed as qualified; and the yearly average relative error is 3.4%, assessed as excellent. To validate its applicability, the meteorological data of Kuancheng station in the Luan River basin were selected to test the modified model. The results show that the 10-day average relative error is 15.4%, assessed as qualified; the monthly average relative error is 13.3%, assessed as qualified; and the yearly average relative error is 6.0%, assessed as good. These results showed that the modified model had good applicability and versatility. The research results can provide technical support for the calculation of water surface evaporation in northern China or similar regions.
The authors would like to acknowledge the financial support for this work provided by the National Key R & D program of China (Grant no. 2016YFC0401407) and the National Natural Science Foundation of China (Grant no. 51579169).
- Amin J, Mohammad M, Morteza A (2012) Experimental comparison of the ability of Dalton based and similarity theory correlations to predict water evaporation rate in different convection regimes. Heat Mass Transfer 48(8):1397–1406. https://doi.org/10.1007/s00231-012-0984-z
- Blodgett TA, Lenters JD, Isacks BL (1997) Constraints on the origin of paleolake expansions in the Central Andes. Earth Interact 1(1):1–28. https://doi.org/10.1175/1087-3562(1997) 001<0001:COTOOP>2.3.CO;2 CrossRefGoogle Scholar
- Craig I, Hancock N (2004) Methods for assessing dam evaporation—an introductory paper. Irrigation Australia: Irrigation Association of Australia National Conference and Exhibition, Adelaide, 16Google Scholar
- Dong X, Liu TX, Yang DW, Duan LM, Wu Y, Wang TS, Wang HY, Gao XY (2015) Simulating evaporation from a water surface for the sand-meadow ecotone of the semiarid region in North China. Arid Land Geogr 38(1):10–17 (in Chinese)Google Scholar
- Li QC, Zhang ZH, Yao FQ, Zhang Y (2007) Principle component analysis of water surface evaporation in Yantai region. System Sciences and Comprehensive Studies in Agriculture 23(3):289–292 (in Chinese)Google Scholar
- Min Q (2005) Discussion on the application of gap Dalton water-surface evaporation formula. J Water Resour Res 26(3):31–34 (in Chinese)Google Scholar
- Mu DJ (2014) Evaluation of basin water resources based on principles of eco-hydrology. Doctoral dissertation, Tianjin University, Tianjin (in Chinese)Google Scholar
- Singh VP, Xu CY (1997) Evaluation and generalization of 13 mass-transfer equations for determining free water evaporation. Hydrol Process 11(3):311–332. https://doi.org/10.1002/(SICI)1099-1085(19970315)11:3<311::AID-HYP446>3.0.CO;2-Y CrossRefGoogle Scholar
- Xu CY, Singh VP (2000) Evaluation and generalization of radiation-based methods for calculating evaporation. Hydrol Process 14(2):339–349. https://doi.org/10.1002/(SICI)1099-1085(20000215)14:23.3.CO;2-F CrossRefGoogle Scholar