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Qinghai lake (qhl), the largest saline lake in china, is located in the tibetan plateau The impacts of various factors on the lake water levels were meticulously quantified. Over the past half century, the lake experienced substantial changes in its water level in a seesaw pattern.
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Since 1950s, the water level of qinghai lake has been changing rapidly, which induces great effects on the surrounding traffic facilities, residents’ safety and the development of animal husbandry, etc Lake evaporation, lake precipitation, and water level changes were estimated using the simulations driven by corrected gcm data Therefore, it is necessary to study the water.
Fan, chenyu, song, chunqiao, liu, kai, ke, linghong, xue, bin, chen, tan, fu, congsheng, cheng, jian (2021) century‐scale reconstruction of water storage changes of the largest lake in the inner mongolia plateau using a machine learning approach.
Qinghai lake is the largest inland lake in china It is an ideal place to study climate response, water balance and hydrological process The global ecosystem dynamics investigation (gedi) mission, launched on december 5th, 2018, provides an opportunity for monitoring middle and low latitude water body changes In this paper, variations of qinghai lake water level change are extracted from.
The water level, water area and water storage of lake qinghai showed the same trend from 1960 to 2024, with a mutation in 1993 The forward modeling results of deformation induced by qinghai lake water level variations indicate that the impact of lake water storage changes on the surrounding deformation field is largely confined within a ∼25 km radius (section 4.1). Lake water level reflects the dynamic balance of water input and output/loss and is a sensitive indicator of climate change and variation Studying the relationship between the closed qinghai lake water level and watershed climate change is important for understanding regional climate change and its impacts on the lake.
(2021) concluded that the swift recovery of the qinghai lake’s water level since 2004 can be attributed to a substantial increase in lake level in five key abnormal wet years (2005, 2012, 2015, and 2017/2018), with the water level variations coinciding with annual precipitation patterns.
