Articles | Volume 25, issue 10 
            
                
                    
            
            
            https://doi.org/10.5194/hess-25-5399-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5399-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Technical note: Evaporating water is different from bulk soil water in δ2H and δ18O and has implications for evaporation calculation
Hongxiu Wang
                                            College of Resources and Environmental Engineering, Ludong
University, Yantai, Shandong Province, 264025, China
                                        
                                    
                                            Key Laboratory of Agricultural Soil and Water Engineering in Arid
and Semiarid Areas, Ministry of Education,  Northwest A & F University, Yangling, Shaanxi Province, 712100, China
                                        
                                    
                                            Department of Soil Science, University of Saskatchewan, Saskatoon,
SK S7N 5A8, Canada
                                        
                                    Jingjing Jin
                                            Key Laboratory of Agricultural Soil and Water Engineering in Arid
and Semiarid Areas, Ministry of Education,  Northwest A & F University, Yangling, Shaanxi Province, 712100, China
                                        
                                    Buli Cui
CORRESPONDING AUTHOR
                                            
                                    
                                            College of Resources and Environmental Engineering, Ludong
University, Yantai, Shandong Province, 264025, China
                                        
                                    
                                            College of Resources and Environmental Engineering, Ludong
University, Yantai, Shandong Province, 264025, China
                                        
                                    
                                            Department of Soil Science, University of Saskatchewan, Saskatoon,
SK S7N 5A8, Canada
                                        
                                    Xiaojun Ma
                                            Gansu Provincial Department of Water Resources, Lanzhou, Gansu
Province, 730000, China
                                        
                                    Mingyi Wen
                                            Key Laboratory of Agricultural Soil and Water Engineering in Arid
and Semiarid Areas, Ministry of Education,  Northwest A & F University, Yangling, Shaanxi Province, 712100, China
                                        
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Han Fu, Ming Gao, Huijie Li, Daniele Penna, Junming Liu, Bingcheng Si, and Wenxiu Zou
                                        EGUsphere, https://doi.org/10.5194/egusphere-2025-4614, https://doi.org/10.5194/egusphere-2025-4614, 2025
                                    This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS). 
                                    Short summary
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                                                Understanding how much water evaporates from soil is important for managing land and water resources. We developed a new method, called ISONEVA, that tracks changes in soil water and other processes such as rainfall and plant water use. Tests with computer simulations and field data showed that ISONEVA estimates soil evaporation much more accurately than existing methods. This approach provides a stronger basis for predicting long-term water availability and guiding sustainable land management.
                                            
                                            
                                        Han Fu, Eric J. Neil, Huijie Li, and Bingcheng Si
                                        Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-422, https://doi.org/10.5194/hess-2022-422, 2023
                                    Manuscript not accepted for further review 
                                    Short summary
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                                                Current hydrological models segregate water and isotope transport within soil. Thus, MOIST, a MATLAB-based one-dimensional isotope and soil water transport model, was developed. Results indicated that MOIST had good performances on simulating transport of isotope and water within soil under theoretical and realistic conditions, even outperformed than HYDRUS-1D. Suggesting a great potential of MOIST in promoting understandings of ecohydrological processes in terrestrial ecosystems.
                                            
                                            
                                        Jiming Jin, Lei Wang, Jie Yang, Bingcheng Si, and Guo-Yue Niu
                                    Geosci. Model Dev., 15, 3405–3416, https://doi.org/10.5194/gmd-15-3405-2022, https://doi.org/10.5194/gmd-15-3405-2022, 2022
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                                                This study aimed to improve runoff simulations and explore deep soil hydrological processes for a highly varying soil depth and complex terrain watershed in the Loess Plateau, China. The actual soil depths and river channels were incorporated into the model to better simulate the runoff in this watershed. The soil evaporation scheme was modified to better describe the evaporation processes. Our results showed that the model significantly improved the runoff simulations.
                                            
                                            
                                        Wei Hu and Bing Si
                                    Hydrol. Earth Syst. Sci., 25, 321–331, https://doi.org/10.5194/hess-25-321-2021, https://doi.org/10.5194/hess-25-321-2021, 2021
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                                                Partial wavelet coherency method is improved to explore the bivariate relationships at different scales and locations after excluding the effects of other variables. The method was tested with artificial datasets and applied to a measured dataset. Compared with others, this method has the advantages of capturing phase information, dealing with multiple excluding variables, and producing more accurate results. This method can be used in different areas with spatial or temporal datasets.
                                            
                                            
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                Short summary
            Evaporation led to progressively more heavy-isotope-enriched bulk soil water (BW) following the precipitation/irrigation of heavy-isotope-depleted new water but causes progressively more heavy-isotope-depleted BW following irrigation of heavy-isotope-enriched new water. The results indicated that δ2H and δ18O in evaporating water (EW) were similar to new water and differed from BW. However, the evaporative water loss calculated from BW did not differ significantly from that of EW.
            Evaporation led to progressively more heavy-isotope-enriched bulk soil water (BW) following the...