Lake depth, a key parameter regulating evaporation in semi-arid regions: A case study from Dali Lake, China

IF 3.2 3区 地球科学 Q1 Environmental Science Hydrological Processes Pub Date : 2024-06-08 DOI:10.1002/hyp.15196
Zhidong Zhang, Qiuhong Tang, Gang Zhao, Paul P. J. Gaffney, Nathalie Dubois
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Abstract

As climate change intensifies, understanding the dynamics of lake evaporation is imperative, especially in semi-arid regions where water resources are already scarce. This study examines the regulatory role of lake depth on evaporation rates, focusing on a terminal lake in a semi-arid region: Dali Lake in China. Using the Complementary Relationship Lake Evaporation model, we simulated the heat and temperature lag time of Dali Lake, an 8 m deep lake, due to its heat storage capacity. This approach was validated through moderate-resolution imaging spectroradiometer (MODIS)-based surface temperatures of Dali Lake and adjacent Ganggenor Lake. Dali Lake, by storing heat during the warmer months, maintains lower surface temperatures compared with the shallower Ganggenor Lake. Under the same climatic conditions, Dali Lake has an annual evaporation of 980 mm, which is 45 mm less than that of Ganggenor Lake, which has an annual evaporation of 1024 mm. To further study the impact of lake depth, we simulated the heat storage and evaporation of Dali Lake during the Holocene, when the lake reached up to 34 m average depth, representative of the maximum depth reached by Dali Lake. During the Holocene, under constant climate conditions, the annual evaporation would be 44 mm/year less than the average evaporation from 1984 to 2016. Average annual evaporation decreased with increasing depth, showing a significant reduction during warmer months, while the release of heat during the ice-cover period did not result in additional evaporation. Our results highlight the important relationship between lake depth and evaporation under climate change, emphasizing the necessity for depth-specific water management strategies in semi-arid regions.

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湖泊深度是调节半干旱地区蒸发量的关键参数:中国大理湖案例研究
随着气候变化的加剧,了解湖泊蒸发的动态势在必行,尤其是在水资源已经十分匮乏的半干旱地区。本研究以半干旱地区的一个终端湖泊为研究对象,探讨了湖泊深度对蒸发率的调节作用:中国的大理湖。利用互补关系湖泊蒸发模型,我们模拟了大理湖(一个 8 米深的湖泊)因其蓄热能力而导致的热量和温度滞后时间。这种方法通过基于中等分辨率成像分光辐射计(MODIS)的大理湖和邻近的岗格诺尔湖地表温度进行了验证。与较浅的岗格诺尔湖相比,大理湖通过在温暖的月份储存热量,保持了较低的湖面温度。在相同的气候条件下,大理湖的年蒸发量为 980 毫米,比年蒸发量为 1024 毫米的岗格诺尔湖少 45 毫米。为了进一步研究湖泊深度的影响,我们模拟了全新世期间大理湖的蓄热和蒸发情况,当时大理湖的平均深度达到 34 米,代表了大理湖达到的最大深度。在气候条件不变的全新世,年蒸发量比 1984 至 2016 年的平均蒸发量少 44 毫米/年。年平均蒸发量随着水深的增加而减少,在温暖的月份显著减少,而冰封期间的热量释放并没有导致额外的蒸发量。我们的研究结果凸显了气候变化下湖泊深度与蒸发量之间的重要关系,强调了在半干旱地区采取针对特定深度的水资源管理策略的必要性。
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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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