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基于粒度组成数学变换方法的海底沉积物类型图编制

高飞 曹珂 印萍 苗庆生 张子健 潘顺琪

海洋地质与第四纪地质2026,Vol.46Issue(4):69-79,11.
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海洋地质与第四纪地质2026,Vol.46Issue(4):69-79,11.DOI:10.16562/j.cnki.0256-1492.2025102301

基于粒度组成数学变换方法的海底沉积物类型图编制

Seabed sediment-type mapping based on mathematical transformations of grain-size composition:A case study of the Yangtze River Estuary-East China Sea Shelf

高飞 1曹珂 2印萍 2苗庆生 3张子健 4潘顺琪5

作者信息

  • 1. 中国地质调查局青岛海洋地质研究所,青岛 266237||卡迪夫大学工程学院,卡迪夫 CF24 3AA,英国
  • 2. 中国地质调查局青岛海洋地质研究所,青岛 266237
  • 3. 国家海洋信息中心,天津 300171
  • 4. 中国地质调查局青岛海洋地质研究所,青岛 266237||中国海洋大学海洋地球科学学院,青岛 266100
  • 5. 卡迪夫大学工程学院,卡迪夫 CF24 3AA,英国
  • 折叠

摘要

Abstract

To address current limitations in sediment-type mapping and to achieve unbiased geostatistical inference of sediment composition,we developed and validated a standardized"Composition-Classification"mapping workflow based on grain-size composition data from about 3 200 surface sediment samples taken from the Yangtze River Estuary-East China Sea shelf.The sand-silt-clay percentage data were transformed first using the additive log-ratio(ALR)transformation,followed by empirical Bayesian kriging(EBK)interpolation in the transformed space.An unbiased Monte Carlo(MC)back-transformation was then applied to recover the continuous spatial distribution of each component.At last,Folk's classification scheme was used on a cell-by-cell basis to produce posterior mean-probability and maximum-probability sediment-type maps.The workflow simultaneously outputs several diagnostic measures of uncertainty,including maximum class probability,probability difference(ΔP)and normalized entropy(Hn).Results show that the method could inherently satisfy non-negativity and closure constraints,and yield sediment-type maps with smooth spatial transitions and highly consistent spatial patterns in the diagnostic indices.Meanwhile,it robustly delineated high-confidence areas while identified low-confidence zones that require further optimization.The proposed method also supported rapid remapping to different management units,providing a technical support for marine resource exploration and environmental management.

关键词

粒度组成/ALR 变换/EBK/MC 无偏回变/Folk 分类/长江口-东海陆架

Key words

grain-size composition/additive log-ratio(ALR)transformation/Empirical Bayesian Kriging(EBK)/Monte Carlo unbiased back-transformation/Folk classification/Yangtze River Estuary-East China Sea shelf

分类

海洋科学

引用本文复制引用

高飞,曹珂,印萍,苗庆生,张子健,潘顺琪..基于粒度组成数学变换方法的海底沉积物类型图编制[J].海洋地质与第四纪地质,2026,46(4):69-79,11.

基金项目

山东省自然科学基金资助项目"冬季黄海切变锋生成、演化规律及其沉积效应"(ZR2022MD105) (ZR2022MD105)

自然资源部研究式调查项目"基于数值模拟的舟山渔山岛海域围填区冲淤演化过程研究"(2024ZRYJDC010) (2024ZRYJDC010)

中国地质调查局地质调查项目"长江口海岸带地质环境调查与监测"(DD20242714) (DD20242714)

海洋地质与第四纪地质

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