Validating the accuracy of multiple sediment fingerprinting methods
文献类型：期刊论文
| 作者 | Dai, Wei1; Chen, Dan1; Li, Mengjie1; Zeng, Yi1,3; Ni, Lingshan1,3; Fang, Nufang1,3; Shi, Zhihua2,3 |
| 刊名 | LAND DEGRADATION & DEVELOPMENT
 |
| 出版日期 | 2022-09-19 |
| 页码 | 14 |
| 关键词 | correction factors geochemical mixing models n-alkanes sediment tracing |
| ISSN号 | 1085-3278 |
| DOI | 10.1002/ldr.4437 |
| 通讯作者 | Ni, Lingshan(lsni@ms.iswc.ac.cn) |
| 英文摘要 | Sediment source fingerprinting provides an effective and reliable way for targeted control of soil erosion. However, the accuracy of source contribution predictions of different fingerprinting methods has not been well verified, which affects the further application of these methods. Here, compared with the real sediment sources measured by indoor simulated scouring experiments, we verified the accuracy of two tracers (geochemical elements and n-alkanes) and three mixing models (Walling model, MixSIAR, and Landwehr model). The results showed that geochemical properties have high accuracy in identifying sediment sources, with the mean absolute error (MAE) ranging from 3.5%-5.9%, while poor results were shown for n-alkanes (MAE values 7.5%-45.7%). The Walling model and MixSIAR showed higher accuracy of contribution prediction, and the MAE was 3.5%-5.9% and 0.7%-3.5%, respectively. Although Landwehr also presented high accuracy of model output, it was relatively less robust compared with the former two mixing models (the MAE range was 3.8%-9.7%). Furthermore, the mixing model with three correction factors (particle size, organic matter (OM), and particle size with OM) showed poor output results for scouring experiments. This study provides a reference for the selection and determination of tracers, mixing models, and correction factors in field experiments. |
| WOS关键词 | CHAIN N-ALKANES ; ORGANIC-MATTER ; LIPID BIOMARKERS ; ERODED SEDIMENT ; LOESS PLATEAU ; PARTICLE-SIZE ; MIXING MODEL ; CATCHMENT ; SOIL ; RIVER |
| 资助项目 | National Natural Science Foundation of China[42107361] ; National Natural Science Foundation of China[42177335] ; National Natural Science Foundation of China[41930755] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000858392500001 |
| 出版者 | WILEY |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/184735]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ni, Lingshan |
| 作者单位 | 1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China 2.Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Hubei, Peoples R China 3.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Wei,Chen, Dan,Li, Mengjie,et al. Validating the accuracy of multiple sediment fingerprinting methods[J]. LAND DEGRADATION & DEVELOPMENT,2022:14. |
| APA | Dai, Wei.,Chen, Dan.,Li, Mengjie.,Zeng, Yi.,Ni, Lingshan.,...&Shi, Zhihua.(2022).Validating the accuracy of multiple sediment fingerprinting methods.LAND DEGRADATION & DEVELOPMENT,14. |
| MLA | Dai, Wei,et al."Validating the accuracy of multiple sediment fingerprinting methods".LAND DEGRADATION & DEVELOPMENT (2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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