| 基于GIPL2模型的青藏高原活动层土壤热状况模拟研究 |
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| 引用本文： | 秦艳慧,吴通华,李韧,胡国杰,乔永平,朱小凡,杨淑华,余文君,王蔚华.基于GIPL2模型的青藏高原活动层土壤热状况模拟研究[J].冰川冻土,2018,40(6):1153-1166. |
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| 作者姓名： | 秦艳慧 吴通华 李韧 胡国杰 乔永平 朱小凡 杨淑华 余文君 王蔚华 |
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| 作者单位： | 中国科学院 西北生态环境资源研究院 青藏高原冰冻圈观测研究站/冰冻圈科学国家重点实验室,甘肃 兰州 730000;中国科学院大学,北京 100049;中国科学院 西北生态环境资源研究院 青藏高原冰冻圈观测研究站/冰冻圈科学国家重点实验室,甘肃 兰州,730000 |
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| 基金项目： | 国家重大科学研究计划项目（2013CBA01803）；国家自然科学基金项目（41690142；41771076；41671070；41601078）；中国科学院百人计划项目（51Y251571；51Y551831）资助 |
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| 摘 要： | 青藏高原活动层土壤热状况，对深入了解高原活动层的厚度变化特征、下垫面的热力作用以及对气候变化预测均有重要意义。利用GIPL2模型模拟青藏高原多年冻土区不同植被状况下活动层土壤热状况。模拟结果表明：模型在高寒草原（QT06）试验点模拟效果较好，高寒沼泽草甸（QT03）试验点的模拟效果较差，高寒草甸（QT01）、高寒荒漠草原（QT05）和高寒草原化草甸（QT04）试验点的模拟效果介于高寒草原试验点和高寒沼泽草甸试验点之间。QT01、QT03、QT04、QT05和QT06的土壤温度模拟值与观测值相比，均方根误差分别为0.67、1.29、0.73、0.7和0.56℃；相关系数分别为0.99、0.87、0.98、0.98和0.96；平均误差分别为0.37、0.61、0.31、0.45和0.16℃。QT06模拟结果较好，原因在于此点土壤质地变化不大，模型的分层与所取的参数更加接近此点的实际状况。QT03模拟结果较差，可能由于此地区土壤中存在砾石，在导热率参数化方案中没有考虑砾石含量，导致模拟结果偏差较大。总体而言，GIPL2模型对青藏高原活动层土壤热状况的模拟具有一定的优势，是一种模拟多年冻土区活动层土壤热状况较为理想的模型。
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| 关 键 词： | 青藏高原 GIPL2模型 多年冻土 土壤热状况 土壤温度模拟 活动层 |
| 收稿时间： | 2016-11-03 |
| 修稿时间： | 2017-03-23 |
Thermal condition of the active layer on the Qinghai-Tibet Plateau simulated by using the Model of GIPL2 |
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| QIN Yanhui,WU Tonghua,LI Ren,HU Guojie,QIAO Yongping,ZHU Xiaofan,YANG Shuhua,YU Wenjun,WANG Weihua.Thermal condition of the active layer on the Qinghai-Tibet Plateau simulated by using the Model of GIPL2[J].Journal of Glaciology and Geocryology,2018,40(6):1153-1166. |
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| Authors: | QIN Yanhui WU Tonghua LI Ren HU Guojie QIAO Yongping ZHU Xiaofan YANG Shuhua YU Wenjun WANG Weihua |
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| Institution: | 1. Cryosphere Research Station on the Qinghai-Tibet Plateau/State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;2. University of Chinese Academy of Science, Beijing 100049, China |
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| Abstract: | The knowledge of the thermal condition within the active layer is of great significance for understanding the variation characteristics of the active layer, the thermal effect of the upper underlying ground and for predicting climate change on the Qinghai-Tibet Plateau. In this paper, the GIPL2 model was used to simulate the soil thermal variations at different depths under different vegetation in permafrost regions over the Qinghai-Tibet Plateau. The simulated results indicate that the GIPL2 model has performed better at the alpine steppe observation site (QT06), but at the alpine swamp meadow observation site (QT03) it has performed bad; between both there are the alpine meadow observation site (QT01), the alpine desert steppe observation site (QT05) and the alpine steppe observation site (QT04). The root-mean-square errors at QT01, QT03, QT04, QT05 and QT06 are 0.67, 1.29, 0.73, 0.7 and 0.56℃, respectively; their correlation coefficients are 0.99, 0.87, 0.98, 0.98 and 0.96 and their mean bias errors are 0.37, 0.61, 0.31, 0.45 and 0.16℃, respectively. The GIPL2 model has better result at QT06, which probably results from the soil stratification used in the model is closer to real condition. The simulated results at QT03 is worse, which may be due to the existence of gravel in the soil and the thermal conductivity parameter in the model has not considered the gravel content. Overall, the GIPL2 model can simulate soil temperature of multiple soil layers in permafrost regions on the plateau. It means that the GIPL2 model could be used to simulate the thermal regime of the active layer of the permafrost on the Qinghai-Tibet Plateau. |
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| Keywords: | Qinghai-Tibet Plateau GIPL2 model permafrost thermal condition of permafrost ground temperature simulation active layer |
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