Using multiple composite fingerprints to quantify fine sediment source contributions: A new direction
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- 作者：X.C. (John) Zhanga ; john.zhang@ars.usda.gov" class="auth_mail" title="E-mail the corresponding author ; B.L. Liub ; 1
- 关键词：DFA ; discriminant function analysis ; GA ; genetic algorithm ; GOF ; goodness of fit ; MAF ; mean absolute fit ; MC ; Monte Carlo ; PCA ; principal component analysis ; RD ; relative difference
- 刊名：Geoderma
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：268
- 期：Complete
- 页码：108-118
- 全文大小：1040 K
文摘
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Widely accepted optimum-composite-fingerprint may not exist.
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A new direction of using multiple composite fingerprints is proposed and tested.
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The new approach improves estimation accuracy and reduces uncertainty.
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Linear objective function for proportion optimization is preferred.
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Weighting adjustment to the mixing model tends to bias mean proportion estimates.