GYIG OpenIR  > 研究生
不同尺度喀斯特流域泥沙源地分类与最优复合指纹识别体系构建
Alternative TitleConstruction of a sediment source classification and optimal composite fingerprint identification system for karst catchments at different scales
徐少强
Subtype硕士
Thesis Advisor罗维均、彭韬
2023
Degree Grantor中科院大学
Place of Conferral中国科学院地球化学研究
Language中文
Document Type学位论文
Identifierhttp://ir.gyig.ac.cn/handle/42920512-1/15149
Collection研究生
Recommended Citation
GB/T 7714
徐少强. 不同尺度喀斯特流域泥沙源地分类与最优复合指纹识别体系构建[D]. 中国科学院地球化学研究. 中科院大学,2023.
Files in This Item:
File Name/Size DocType Version Access License
不同尺度喀斯特流域泥沙源地分类与最优复合(24778KB)学位论文 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[徐少强]'s Articles
Baidu academic
Similar articles in Baidu academic
[徐少强]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[徐少强]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 不同尺度喀斯特流域泥沙源地分类与最优复合指纹识别体系构建.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.