Estimation of actual evapotranspiration and water stress in the Lijiang River Basin, China using a modified Operational Simplified Surface Energy Balance (SSEBop) model

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL Journal of Hydro-environment Research Pub Date : 2022-03-01 DOI:10.1016/j.jher.2022.01.003
Yuefeng Yao , Azim U. Mallik
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Abstract

Due to the simultaneous impacts of economic development and climate change, the Lijiang River Basin in China—the largest karst tourist attraction in the world—has experienced dramatic water shortages during the dry season. As actual evapotranspiration (ETa) plays a critical role in the water cycle, accurate estimation of ETa and water stress are important for sustainable water resources management. In this paper, we mapped the distribution of daily ETa using a modified Operational Simplified Surface Energy Balance (SSEBop) model in combination with Landsat 8 images and assessed water stress using the Crop Water Stress Index (CWSI) during the dry season in the Lijiang River Basin. In general, the daily ETa simulated by the SSEBop model with aerodynamic resistance value of 110 s m−1 was higher than that of satellite-based actual evapotranspiration products (i.e., MOD16A2 and Penman-Monteith-Leuning (PML)_V2 actual evapotranspiration products in this study). Aerodynamic resistance plays a critical role in the estimation of energy fluxes in the SSEBop model and should be readjusted and calibrated with available datasets to improve the model’s performance in estimating actual evapotranspiration for particular regions. Readjusted values between 20 and 35 s m−1 of aerodynamic resistance produced reasonable agreement with satellite-based actual evapotranspiration products in the Lijiang River Basin. In addition, insufficient ground-level measurements of actual evapotranspiration might have increased the uncertainty of the SSEBop model’s performance. The achievement of higher accuracy in the estimation of actual evapotranspiration and water availability will require establishing local flux towers, particularly in forested areas, to collect evapotranspiration, temperature and other in situ data. For different land-cover classes, forest areas exhibited the highest actual evapotranspiration, whereas farmland and built-up areas had the lowest actual evapotranspiration values compared to the other land-cover classes. All land-cover classes, especially farmland areas, experienced severe water stress. Inadequate precipitation as a result of climate change, combined with high actual evapotranspiration will result in less water being available for the Lijiang River Basin. Additional water is required to compensate for evapotranspiration and support plant growth in the Lijiang River Basin during the growing season.

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基于改进的SSEBop模型估算丽江流域实际蒸散发和水分胁迫
由于经济发展和气候变化的共同影响,世界上最大的喀斯特旅游胜地——中国丽江流域在旱季经历了严重的水资源短缺。由于实际蒸散发(ETa)在水循环中起着至关重要的作用,因此准确估算ETa和水分胁迫对水资源的可持续管理具有重要意义。利用改良的SSEBop模型,结合Landsat 8影像,绘制了丽江流域旱季日ETa的分布,并利用作物水分胁迫指数(CWSI)评估了水分胁迫。总体而言,气动阻力值为110 s m−1的SSEBop模式模拟的日ETa高于基于卫星的实际蒸散发产品(即本研究的MOD16A2和Penman-Monteith-Leuning (PML)_V2实际蒸散发产品)。空气动力阻力在估算SSEBop模型的能量通量中起着关键作用,应利用现有数据集对其进行重新调整和校准,以提高模型估算特定区域实际蒸散发的性能。20 ~ 35 s m−1的空气动力阻力调整值与基于卫星的丽江流域实际蒸散发产品基本吻合。此外,对实际蒸散发的地面测量不足可能增加了SSEBop模式性能的不确定性。为了提高对实际蒸散量和可得水量的估计的准确性,将需要在当地建立通量塔,特别是在森林地区,以收集蒸散量、温度和其他就地数据。在不同的土地覆盖类型中,林地的实际蒸散量最高,而农田和建成区的实际蒸散量最低。所有土地覆盖层,尤其是农田,都经历了严重的水资源压力。气候变化导致的降水不足,加上实际蒸散量大,将导致丽江流域可用水量减少。在生长季节,丽江流域需要额外的水来补偿蒸散和支持植物生长。
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来源期刊
Journal of Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
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