Comparative analysis of discriminant ability of quantitative discriminant models for reservoir sediment sources
Received date: 2021-06-28
Revised date: 2021-08-30
Online published: 2022-03-30
Reservoir siltation is one of the main environmental problems in arid and semi-arid sandy areas. The sediment source fingerprinting is a new method to identify reservoir sediment sources， and screening an optimal discriminant model for sediment sources in a certain area is an important prerequisite for accurate identification of sediment source. In this study， Danghe Reservoir was selected as the research object. Based on field investigation， indoor analysis， model simulation and other means， the applicability of multiple composite fingerprints， optimal composite fingerprint， and distance weight method in the identification process of sediment source were compared and analyzed. The results showed that both multiple composite fingerprints and optimal composite fingerprint could obtain reasonable contributions and were relatively close， which were suitable for the quantitative identification of sediment sources in this watershed. However， the distance weighting method was not satisfactory and needed to be further tested. Increasing the number of composite fingerprints （19） could narrow the 95% confidence interval， which has statistical significance. From a statistical point of view. Theoretically the multiple composite fingerprints perform better， which will improve the accuracy of quantitative discrimination results to a certain extent.
Baicheng Niu , Fenggui Liu , Qiang Zhou , Qiong Chen , Benli Liu . Comparative analysis of discriminant ability of quantitative discriminant models for reservoir sediment sources[J]. Journal of Desert Research, 2022 , 42(2) : 36 -43 . DOI: 10.7522/j.issn.1000-694X.2021.00110
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