| 曹文洪,刘冰.应用指纹识别方法确定泥沙来源研究进展[J].中国水利水电科学研究院学报,2018,16(5):353-361 |
| 应用指纹识别方法确定泥沙来源研究进展 |
| Review of research progress in application of fingerprinting method to determination of sediment source |
| 投稿时间：2017-12-05 |
| DOI：10.13244/j.cnki.jiwhr.2018.05.004 |
| 中文关键词: 指纹识别方法 泥沙来源 指纹识别因子 不确定性分析 |
| 英文关键词:fingerprinting method sediment sources fingerprinting properties uncertainty analysis |
| 基金项目:国家重点研发计划项目（2017YFC0405200，2016YFC0402404）；国家自然科学基金项目（41701322） |
|
| 摘要点击次数: 1970 |
| 全文下载次数: 1410 |
| 中文摘要: |
| 本文介绍了指纹识别方法在泥沙来源研究中的新进展。国际上新近的研究主要针对计算模型的改进和结果的不确定性分析，提出了多种泥沙来源相对贡献率的计算方法，提高了结果的准确性。本文重点介绍了5种指纹识别方法新的计算模型：改进的Collins混合模型、Modified Hughes模型、Landwehr模型、Distribution模型和多元判别分析方法；讨论了不同泥沙来源分区、采样方法和指纹识别因子等对结果不确定性的影响。研究表明通过统计分析方法提高样本数量或使用多指纹识别因子组合可以提高结果的精度。最后，结合实例对多种计算方法进行了分析和比较 |
| 英文摘要: |
| This paper reviews the new development of fingerprinting method in sediment research. Recent studies have focused on the improvement of the models and the uncertainty analysis of the results. In partic-ular, many methods have been proposed to calculate the relative contributions of sediment sources and to improve the accuracy of the results. At present, there are four new models of fingerprinting method:Modi-fied Hughes, Landwehr, Distribution and Multi-Discriminant Function. The new methods of reducing the un-certainty of results are to improve the accuracy of the results by increasing the number of samples through statistical analysis or by using a combination of multiple fingerprinting properties. This paper discusses the factors that affect the uncertainty of the results:sediment source areas, sampling methods, and fingerprint-ing properties. At last, an application example is given to compare the new models. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
