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首页> 外文期刊>The Science of the Total Environment >Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010
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Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010

机译:统计模型揭示的青藏高原多年冻土的空间分布和变化

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The Qinghai-Tibet Plateau (QTP), where is underlain by the highest and most extensive mid-altitude permafrost, is undergoing more dramatic climatic warming than its surrounding regions. Mapping the distribution of permafrost is of great importance to assess the impacts of permafrost changes on the regional climate system. In this study, we applied logistic regression model (LRM) andmulti-criteria analysis (MCA) methods to map the decadal permafrost distribution on the QTP and to assess permafrost dynamics from the 1980s to 2000s. The occurrence of permafrost and its impacting factors (i.e., climatic and topographic elements) were constructed from in-situ field investigation-derived permafrost distribution patterns in 4 selected study regions. The validation results indicate that both LRM and MCA could efficiently map the permafrost distribution on the QTP. The areas of permafrost simulated by LRM and MCA are 1.23 x 10(6) km(2) and 1.20 x 10(6) km(2), respectively, between 2008 and 2012. The LRM and MCA modeling results revealed that permafrost area has significantly decreased at a rate of 0.066 x 10(6) km(2) decade(-1) over the past 30 years, and the decrease of permafrost area is accelerating. The sensitivity test results indicated that LRM did well in identifying the spatial distribution of permafrost and seasonally frozen ground, and MCA did well in reflecting permafrost dynamics. More parameters such as vegetation, soil property, and soil moisture are suggested to be integrated into the models to enhance the performance of both models. (C) 2018 Published by Elsevier B.V.
机译:青藏高原(QTP)处于最高和最广泛的中海拔多年冻土之下,与周围地区相比,气候变暖更为剧烈。绘制多年冻土的分布图对于评估多年冻土变化对区域气候系统的影响非常重要。在这项研究中,我们应用了Logistic回归模型(LRM)和多准则分析(MCA)方法来绘制QTP上的年代际多年冻土分布,并评估了1980年代至2000年代的多年冻土动力学。永久冻土的发生及其影响因素(即气候和地形要素)是根据4个选定研究区域的现场实地调查得出的永久冻土分布模式构建的。验证结果表明,LRM和MCA均可有效地绘制QTP上的多年冻土分布。 LRM和MCA模拟的多年冻土面积分别为2008年至2012年的1.23 x 10(6)km(2)和1.20 x 10(6)km(2)。LRM和MCA建模结果表明,多年冻土区具有在过去30年中以0.066 x 10(6)km(2)十年(-1)的速度显着减少,并且永久冻土面积的减少正在加速。敏感性测试结果表明,LRM在识别多年冻土和季节性冻土的空间分布方面表现出色,而MCA在反映多年冻土动态方面表现出色。建议将更多参数(例如植被,土壤特性和土壤湿度)整合到模型中,以增强两个模型的性能。 (C)2018由Elsevier B.V.发布

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