成果归属作者：

梁四海

成果归属机构：

水资源与环境学院

作者：

Hu, Zhongyi ; Yan, Dezhao ; Feng, Min ; Xu, Jinhao ; Liang, Sihai ; Sheng, Yu

单位：

Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing, Peoples R China;China Univ Geosci Beijing, Sch Water Resources & Environm, Beijing, Beijing, Peoples R China;Univ Chinese Acad Sci, Beijing, Peoples R China;Qinghai Normal Univ, Acad Plateau Sci & Sustainabil, Xining, Peoples R China;Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou, Peoples R China

关键词：

ACTIVE-LAYER THICKNESS; THERMAL STATE; CLIMATE; MAP

摘要：

Our understanding of permafrost distribution is still limited, particularly in mountainous areas where highly heterogeneous environments and a lack of reliable field data tend to prevail. The extensive distribution of rock glaciers in the Qilian Mountains, located in the northeastern Tibetan Plateau, offers the opportunity to develop a novel approach for permafrost mapping in mountainous regions. In this study, a total of 1,530 rock glacier records were combined with in situ data to drive machine learning models for estimating permafrost presence. Three machine learning algorithms were adopted, and their accuracies were assessed in both mountains and plains by comparing the mapped permafrost to reserved field data as well as other published permafrost datasets. Among the algorithms tested, the CatBoost model presented the highest accuracy, with an overall accuracy of 83.3%. The model was thus chosen to produce a 250-m resolution permafrost zonation index (PZI) map, which identified a total area of 73.1 x 103 km2 permafrost in the Qilian Mountains, accounting for 39.1% of the area. The map also presented higher accuracy than other published permafrost maps. This study demonstrated that rock glacier records coupled with gradient-boosting machine-learning algorithms can help improve permafrost mapping, especially in the most challenging mountainous permafrost areas.

基金：

National Natural Science Foundation of China [4217114]; TPESER Youth Innovation Key Program [TPESER-QNCX2022ZD-04]; National Key Research and Development Program of China [2022YFF0711702]

语种：

英文

DOI：

10.1080/17538947.2024.2304077

来源：

INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024(1):.

出版日期：

2024-12-31

提交日期：

2024-03-04

引用参考：

Hu, Zhongyi; Yan, Dezhao; Feng, Min; Xu, Jinhao; Liang, Sihai; Sheng, Yu. Enhancing mountainous permafrost mapping by leveraging a rock glacier inventory in northeastern Tibetan Plateau[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024(1):.