Analysis of Long-Term Water Level Variations in Qinghai Lake in China

Abstract

Qinghai Lake is the largest inland saline lake on the Tibetan Plateau. Climate change and catchment modifications induced by human activities are the main drivers playing a significant role in the dramatic variation of water levels in the lake (Δh); hence, it is crucial to provide a better understanding of the impacts caused by these phenomena. However, their respective contribution to and influence on water level variations in Qinghai Lake are still unclear and without characterizing them, targeted measures for a more efficient conservation and management of the lake cannot be implemented. In this paper, data monitored during the period 1960–2016 (e.g., meteorological and land use data) have been analyzed by applying multiple techniques to fill this gap and estimate the contribution of each parameter recorded to water level variations (Δh). Results obtained have demonstrated that the water level of Qinghai Lake declined between 1960 and 2004, and since then has risen continuously and gradually, due to the changes in evaporation rates, precipitation and consequently surface runoff associated with climate change effects and catchment modifications. The authors have also pinpointed that climate change is the main leading cause impacting the water level in Qinghai Lake because results demonstrated that 93.13% of water level variations can be attributable to it, while the catchment modifications are responsible for 6.87%. This is a very important outcome in the view of the fact that global warming clearly had a profound impact in this sensitive and responsive region, affecting hydrological processes in the largest inland lake of the Tibetan Plateau.

Publication DOI: https://doi.org/10.3390/w11102136
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering
Aston University (General)
Funding Information: This research was supported by the National Key Research and Development Program of China (2016YFC0500802), and the Beijing Municipal Education Commission (CEFF-PXM2019_014207_000099), and Special Funds for Scientific Research of Forestry Public Welfare I
Additional Information: Copyright © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: SDG 11 - Sustainable Cities and Communities,SDG 13 - Climate Action,SDG 15 - Life on Land
Publication ISSN: 2073-4441
Last Modified: 12 Dec 2024 08:34
Date Deposited: 18 Oct 2024 15:16
Full Text Link:
Related URLs: https://www.mdp ... 4441/11/10/2136 (Publisher URL)
PURE Output Type: Article
Published Date: 2019-10
Published Online Date: 2019-10-14
Accepted Date: 2019-10-09
Authors: Fang, Jianmei
Li, Guijing
Rubinato, Matteo (ORCID Profile 0000-0002-8446-4448)
Ma, Guoquing
Zhou, Jinxing
Jia, Guodong
Yu, Xinxiao
Wang, Henian

Download

[img]

Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Statistics

Additional statistics for this record