IMHE OpenIR  > 山地表生过程与生态调控重点实验室
基于 Crystal Ball 的泥沙来源指纹判别及不确定性评价
Alternative TitleEvaluation on the Fingerprint Identifying of Sediment Source Based on Crystal Ball and Its Uncertainty
史忠林1; 陈佳村1,2; 严冬春1; 文安邦1; 龙翼1; 吴毅1
2019
Source Publication中国水土保持
ISSN1000-0941
Issue7Pages:55-57+73
SubtypeArticle
Contribution Rank1
Abstract土壤固有的空间变异性及对侵蚀强度响应程度的不同,造成利用采集的少量样品中指纹因子的平均值或中位数来表征物源或泥沙时存在较大的不确定性,进而影响物源贡献判别结果的可靠性。已有的蒙特卡洛模拟算法通常基于较为复杂的计算机语言,对一般研究者来说具有一定的挑战性。介绍一种简便快捷的分析软件Crystal Ball,并结合实例分析了其在流域泥沙来源判别中的应用。
Other AbstractDue to the soil intrinsic spatial variability and the difference of responses to erosion intensity, therefore, using the average value or the median of fingerprint factors of a few collected samples to represent the origin or sediment , it has considerable uncertainty and then will affect the reliability of the results of source contribution discrimination. The existed Monte Carlo Method usually is based on more complicated computer language and there are certain challenges for general researchers. The paper introduced Crystal Ball, which was simple and fast analysis software to analyze the application to the sediment source discrimination of a river basin by examples.
Keyword泥沙来源 指纹技术 Crystal Ball 蒙特卡洛方法
DOI10.17957/IJAB/15.0581
Indexed By其他
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/27137
Collection山地表生过程与生态调控重点实验室
山区建设与环境工程中心
科技与合作处
Corresponding Author史忠林
Affiliation1.中国科学院/水利部成都山地灾害与环境研究所;
2.中国科学院大学
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
史忠林,陈佳村,严冬春,等. 基于 Crystal Ball 的泥沙来源指纹判别及不确定性评价[J]. 中国水土保持,2019(7):55-57+73.
APA 史忠林,陈佳村,严冬春,文安邦,龙翼,&吴毅.(2019).基于 Crystal Ball 的泥沙来源指纹判别及不确定性评价.中国水土保持(7),55-57+73.
MLA 史忠林,et al."基于 Crystal Ball 的泥沙来源指纹判别及不确定性评价".中国水土保持 .7(2019):55-57+73.
Files in This Item:
File Name/Size DocType Version Access License
2019-史忠林-中国水土保持.pdf(345KB)期刊论文出版稿开放获取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
[史忠林]'s Articles
[陈佳村]'s Articles
[严冬春]'s Articles
Baidu academic
Similar articles in Baidu academic
[史忠林]'s Articles
[陈佳村]'s Articles
[严冬春]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[史忠林]'s Articles
[陈佳村]'s Articles
[严冬春]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2019-史忠林-中国水土保持.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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