1950-2022 年蒙古永久冻土范围的时空变化

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-09-04 DOI:10.1016/j.ecolind.2024.112558
Xin Ma, Tonghua Wu, Saruulzaya Adiya, Dashtseren Avirmed, Xiaofan Zhu, Chengpeng Shang, Xuchun Yan, Peiqing Lou, Dong Wang, Jie Chen, Amin Wen, Yune La
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引用次数: 0

摘要

蒙古的永久冻土位于北半球高纬度和高海拔永久冻土区之间的过渡地带,温差大,地下特征复杂。本研究通过现场观测评估了覆盖蒙古的ERA5-Land产品表皮温度数据的可靠性。ERA5-陆地表皮温度数据集显示出冷偏差,在寒冷季节更为明显。根据海拔差异进行校准后,年尺度(RMSE(均方根误差)改善了 92%,MBE(平均偏差误差)改善了 98%)和季节尺度(RMSE 改善了 78%,MBE 改善了 82%)的数据均有显著改善。此外,地表冻结指数(SFI)和地表解冻指数(STI)的空间变化在蒙古中部和东北部最为明显。地表冻结指数呈显著下降趋势,降幅为 7.16 °C-d/年,而地表融化指数呈显著上升趋势,升幅为 4.49 °C-d/年。此外,利用霜冻数(Fn)模型和冻土顶部温度(TTOP)模型模拟了 1950 年至 2022 年蒙古的冻土范围。验证结果表明,Fn 模型的精度相对较高,总体精度为 0.9,Kappa 系数为 0.47。蒙古的永久冻土范围从 1950 年代的 734.7 × 10 km 下降到 2010 年代的 480.1 × 10 km,1994 年后以 3.2 × 10 km/decade 的速度显著下降。根据过去 72 年的永久冻土范围变化,霍夫斯格尔山脉和肯特山脉经历了严重的永久冻土退化。
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Spatiotemporal variations of permafrost extent in Mongolia during 1950–2022
Permafrost in Mongolia is located in the transition zone between high-latitude and high-altitude permafrost regions of the Northern Hemisphere, with large temperature differences and complex subsurface characteristics. In this study, the reliability of the skin temperature data from the ERA5-Land product covering Mongolia is assessed via site observations. The ERA5-Land skin temperature dataset shows a cold bias, which is more pronounced in the cold season. Following calibration based on elevation differences, significant improvements are observed at both the annual scale (92 % improvement in RMSE (root mean square error) and 98 % improvement in MBE (mean bias error)) and the seasonal scale (78 % improvement in RMSE and 82 % improvement in MBE). Additionally, the spatial variations in the surface freezing index (SFI) and surface thawing index (STI) are most pronounced in the central and northeastern Mongolia. The SFI exhibits a significant decreasing trend of 7.16 °C·d/year, while the STI shows a significant increasing trend of 4.49 °C·d/year. Furthermore, the permafrost extent in Mongolia is simulated from 1950 to 2022 using the frost number (Fn) model and the temperature on top of permafrost (TTOP) model. The validated results indicate that the accuracy of the Fn model is relatively high, with an overall accuracy of 0.9 and a Kappa coefficient of 0.47. The permafrost extent in Mongolia has declined from 734.7 × 10 km in the 1950 s to 480.1 × 10 km in the 2010 s, with a prominent decrease of 3.2 × 10 km/decade after 1994. According to the variations in permafrost extent during past 72 years, the Hovsgol and Khentii Mountain ranges have experienced significant permafrost degradation.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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