Moisture conditions are limiting evapotranspiration changes of Alpine mountains of Qilian Mountains

IF 3.2 3区 地球科学 Q1 Environmental Science Hydrological Processes Pub Date : 2024-09-03 DOI:10.1002/hyp.15256
Yunying Wang, Zongxing Li, Jian Xue, Lanping Si, Chong Xu
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Abstract

Variations in evapotranspiration and their sensitivity to controlling variables are pivotal for comprehending water balance dynamics and climate change, particularly in high-altitude regions such as the Qilian mountains. Environmental shifts are bound to disrupt local water cycles and balance, with significant implications for these alpine areas. To enhance our understanding of evapotranspiration variability across different altitudes within the Qilian Mountains' high-elevation region and to assess the model's adaptability and responsiveness to environmental factors, our study involved measuring actual evapotranspiration at three distinct elevations. This was achieved using meteorological stations and continuous data from a weighing-type microlysimeter at the Shaliu River basin's gradients of 3797, 4250 and 4303 m, spanning the growing seasons from June 2020 to October 2022. We utilized 10 models to calculate the value of reference evapotranspiration, which were then matched against actual evapotranspiration data to identify the most appropriate model. Our research found that across the three elevation gradients, the daily average evapotranspiration were 3.663, 3.845 and 4.317 mm day−1, respectively. Across the three elevations, with consistent intra-annual fluctuations. Notably, August experienced the highest monthly evapotranspiration at 4.750 mm day−1, and reach peak at 10:00 and 15:00 on the three elevation gradients. The results from the simulation of the 10 models indicate that the Dalton model is more suitable for our study area compared with the other models, showing the best R2, root mean square error and percentage error values. Partial least squares regression analysis, coupled with an enhanced regression tree model, identified precipitation as the most critical factor, with a variable importance in projection score of 2.079, contributing 52.6% to evapotranspiration. Collectively, precipitation were identified as key factors influencing evapotranspiration variability within our research area. Our study's insights are valuable for anticipating the impacts of future climate change. This conclusion is instrumental for refining water budget projections in Alpine regions under climate change scenarios.

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水分条件制约着祁连山高寒山区的蒸散变化
蒸散量的变化及其对控制变量的敏感性对于理解水平衡动态和气候变化至关重要,尤其是在祁连山等高海拔地区。环境变化势必会破坏当地的水循环和平衡,对这些高寒地区产生重大影响。为了加深我们对祁连山高海拔地区不同海拔蒸散量变化的了解,并评估模型对环境因素的适应性和响应能力,我们的研究包括测量三个不同海拔高度的实际蒸散量。我们利用气象站和称重式微测力计的连续数据,在沙柳河流域海拔 3797 米、4250 米和 4303 米的坡度上进行了测量,测量时间跨度为 2020 年 6 月至 2022 年 10 月的生长季节。我们利用 10 个模型计算参考蒸散量值,然后与实际蒸散量数据进行比对,以确定最合适的模型。我们的研究发现,在三个海拔梯度上,日平均蒸散量分别为 3.663、3.845 和 4.317 毫米/天-1。三个海拔高度的日平均蒸散量波动一致。值得注意的是,8 月份的月蒸散量最高,为 4.750 毫米/天-1,并在三个海拔梯度的 10:00 和 15:00 达到峰值。10 个模型的模拟结果表明,与其他模型相比,道尔顿模型更适合我们的研究区域,其 R2、均方根误差和误差百分比值都是最好的。偏最小二乘法回归分析与增强型回归树模型相结合,确定降水是最关键的因素,在预测中的变量重要性得分为 2.079,对蒸散量的贡献率为 52.6%。总之,降水被认为是影响我们研究区域内蒸散量变化的关键因素。我们的研究对预测未来气候变化的影响具有重要价值。这一结论有助于完善气候变化情景下阿尔卑斯地区的水预算预测。
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来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
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