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本人于2022年5月毕业于香港浸会大学,获得博士学位。主要研究背景是地球物理、地理学和水文气候,研究水文特征与气候变化的遥相关关系,气候变化下干旱、洪涝等极端事件模式及其对土地覆盖类型的影响。本人博士期间利用不同的卫星观测数据,包括重力恢复和气候实验(GRACE)、热带降雨测量任务(TRMM)、中分辨率成像光谱仪(MODIS)以及气候模型数据,研究了水、地理和气候之间的联系。还探讨了基于气候模式(如CMIP5/6)的未来干旱和...
Qing He
Paper Publications
Three-dimensional Budyko framework incorporating terrestrial water storage: Unraveling water-energy dynamics, vegetation, and ocean-atmosphere interactions
Release time:2023-10-19 Hits:
Indexed by:
Journal paper
Journal:
Science of The Total Environment
Included Journals:
SCI
Volume:
904
DOI number:
10.1016/j.scitotenv.2023.166380
Date of Publication:
2023-08-16
Abstract:
The two-dimensional steady-state Budyko framework, widely used to study water-energy dynamics in landscapes, primarily focused on the partitioning of precipitation into evapotranspiration (ET) and water yield. Though this framework has been extended by incorporating water storage changes into precipitation input for non-steady state conditions, the interactions among water-energy dynamics, vegetation covers, and ocean-atmosphere oscillations within the Budyko framework at finer spatial and temporal scales have been unexplored. This study aims to investigate the interactions of regional hydroclimatic conditions, vegetation, and climate teleconnections over the Indo-China Peninsula (ICP), a region highly vulnerable to climate change. To achieve the objective, we propose a three-dimensional Budyko framework that incorporates the ratio of Gravity Recovery and Climate Experiment (GRACE)-based terrestrial water storage (TWS) or its changes (TWSC) to precipitation (SI/SCI) as the third dimension alongside the traditional two-dimensional Budyko framework. Our findings reveal that TWS has a significant impact on the Budyko framework, particularly during the dry season. The dryness index (DI)/evaporative index (EI) and SI/SCI exhibit positive (strongly negative) linear relationships in the wet (dry) season, respectively. Vegetation covers strongly influence the three-dimensional Budyko framework, with poor performance observed in highly vegetated regions due to high ET demand. Through relative importance analysis, we identify the Silk Road Pattern (SRP) as the most influential climate teleconnection among nine different teleconnections, affecting hydroclimatic conditions over the ICP. Positive (negative) phases of SRP encourage water-limited (energy-limited) ET conditions. This demonstrates that the Budyko parameter is influenced not only by landscapes but also by climate teleconnections, offering potential benefits for Budyko parameter estimation. Furthermore, the linear relationships between DI/EI and SI/SCI in three-dimensional Budyko framework can provide a promising alternative method for evapotranspiration and groundwater estimation.
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Next One:Fok, H., He, Q., Chun, K., Zhou, Z., & Chu, T. (2018). Application of ENSO and drought indices for water level reconstruction and prediction: A case study in the lower Mekong River estuary. Water, 10(1), 58.