Journal
WATER
Volume 13, Issue 13, Pages -Publisher
MDPI
DOI: 10.3390/w13131783
Keywords
stable isotope; precipitation recycling; isotopic mixing model; Lanzhou city
Categories
Funding
- National Natural Science Foundation of China [42071047, 41771035, 41867030, 41971036]
- Foundation for Distinguished Young Scholars of Gansu Province [20JR10RA112]
- Scientific Research Program of Higher Education Institutions of Gansu Province [2018C-02]
Ask authors/readers for more resources
The study calculated the contributions of different water vapors to summer precipitation in Lanzhou city using a three-component mixing model, with advection vapor found to be the largest contributor, followed by plant transpiration vapor and surface evaporation water vapor. The spatial differences of plant transpiration vapor were generally larger than those of advection vapor and surface evaporation vapor, with high values observed in certain areas.
The proportional contribution of recycled moisture to local precipitation is a geographically dependent parameter that cannot be ignored in water budgets. Stable hydrogen and oxygen isotopes are sensitive to environmental changes and can be applied to investigate the modern water cycle. In this study, a three-component mixing model is used to calculate the contribution of different water vapors (advection, evaporation and transpiration) to summer precipitation in Lanzhou city, Northwest China. The results show that for all sampling sites in Lanzhou, the contribution of advection vapor to precipitation is the largest, followed by the plant transpiration vapor, and the contribution of surface evaporation water vapor is usually the least, with the average values of 87.96%, 9.1% and 2.9%, respectively. The spatial differences of plant transpiration vapor are generally larger than those of advection vapor and surface evaporation vapor, and the high values appear in Yongdeng, Daheng and Gaolan.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available