Water Vapor Transport in Dry Sand During Evaporation Monitored by Quasi-Distributed Fiber-Optic Sensing Technology

IF 4.6 1区地球科学 Q2 ENVIRONMENTAL SCIENCES

Water Resources Research Pub Date : 2025-03-10 DOI:10.1029/2024wr038719

Junyi Guo, Mengya Sun, Chengcheng Zhang, Werner Lienhart, Hongtao Jiang, Bin Shi

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引用次数: 0

Abstract

Water vapor transport in the dry soil layer (DSL) plays a critical role in water and energy exchange between soil and atmosphere in semi-arid and arid regions. However, monitoring water vapor transport in extremely dry soils remains challenging. This study directly measured changes in water vapor content and temperature within sand pores during evaporation using fiber Bragg grating relative humidity sensing technology. Results indicated that soil temperature reached a minimum when relative humidity dropped from 100%, confirming that the sensors successfully captured the evaporating front and its dynamic migration within the soil. Water vapor fluxes exhibited a mono-convex temporal pattern, peaking at the evaporating front. Additionally, deeper evaporating fronts migrated more slowly in sands with varying initial water content. Furthermore, the relative humidity distribution within the DSL was found to be depth-dependent and could be described by a nonlinear function of depth. These findings suggest that our method offers a novel approach for investigating the mechanisms of water vapor transport in dry soils in semi-arid and arid regions.

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来源期刊

Water Resources Research 环境科学-湖沼学

CiteScore

8.80

自引率

13.00%

发文量

599

审稿时长

3.5 months

期刊介绍： Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.