Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China.
Sci Total Environ. 2020 Dec 20;749:141570. doi: 10.1016/j.scitotenv.2020.141570. Epub 2020 Aug 12.
The Qinghai-Tibetan Plateau (QTP), named the Asian Water Towers, feeds more than 2.5 billion people in downstream regions. It is still unknown how much water outflows from this region owing to lack of observations. The main objective of this study is to clarify availability of water flowed out of this region and its contribution to large Asian rivers. The Global Land Data Assimilation System (GLDAS) products are evaluated with the help of observations of the QTP. In addition, a velocity-based routing method is embedded into the GLDAS model to route runoff products to the basin outlet in this study. The results show that the simulated dry season runoff in the GLDAS model is generally lower than the observed value, which is mainly because most hydrological models only consider the potential evapotranspiration (ET) when simulating ET, while ignoring the water constraint factor. Noah10_v2.0 has the highest precision at the QTP. For the monthly precipitation and runoff series, the relative error is within 5%, the correlation coefficient is greater than 0.90, and the Nash-Sutcliffe efficiencies are 0.95 and 0.76, respectively. Glacier melt runoff plays an important role in the QTP runoff, with a proportion of approximately 22%. It is relatively high in the Tarim River basin (83%), Syr Darya River and Amu Darya River basins (69%), and Indus River basin (60%). The contribution ratio also reaches 23% in the Yarlung Zangbo-Brahmaputra River and Ganges River basins, whereas it is the lowest in the Irrawaddy River basin (2%). According to the Noah10_v2.0 simulations, the mean annual runoff provided by the QTP exceeds 620 billion cubic metres, of which approximately 440 billion cubic metres flow out of the QTP and supply downstream regions of international rivers. The contribution ratio of the QTP runoff to the total runoff of its affected basins is approximately 16%.
青藏高原(QTP)被称为亚洲水塔,为下游地区 25 亿多人提供水源。由于缺乏观测,目前还不清楚该地区有多少水流出。本研究的主要目的是阐明流出该地区的水量及其对亚洲大型河流的贡献。借助 QTP 的观测数据,对全球陆地数据同化系统(GLDAS)产品进行了评估。此外,本研究还将基于速度的路径选择方法嵌入到 GLDAS 模型中,以将径流量产品路由到流域出口。结果表明,GLDAS 模型模拟的枯水期径流量普遍低于观测值,这主要是因为大多数水文模型在模拟潜在蒸散量(ET)时仅考虑潜在蒸散量,而忽略了水量约束因素。Noah10_v2.0 在 QTP 上具有最高的精度。对于月降水和径流量序列,相对误差在 5%以内,相关系数大于 0.90,纳什效率系数分别为 0.95 和 0.76。冰川融水径流在 QTP 径流量中起着重要作用,占比约为 22%。在塔里木河流域(83%)、锡尔河和阿姆河流域(69%)以及印度河流域(60%)占比相对较高。在雅鲁藏布江-布拉马普特拉河和恒河流域,其贡献比例也达到 23%,而在伊洛瓦底江流域则最低(2%)。根据 Noah10_v2.0 的模拟结果,青藏高原每年提供的平均径流量超过 6200 亿立方米,其中约 4400 亿立方米流出青藏高原,为国际河流的下游地区供水。QTP 径流量对其影响流域总径流量的贡献比例约为 16%。