Differential dissolution-induced concentration drift in sediment fingerprinting: Theory, validation, implications, and resolution

IF 9.2 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Journal of Environmental Management Pub Date : 2026-10-01 Epub Date: 2026-09-29 DOI:10.1016/j.jenvman.2026.131017
Chen Liang, Zhonglin Shi, Xinbao Zhang, Anbang Wen, Jialiang Tang
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引用次数: 0

Abstract

Reliable identification of sediment sources is fundamental to understanding erosion dynamics and implementing targeted watershed management. Sediment fingerprinting has therefore been widely applied to quantify sediment provenance. Here, we identified a previously overlooked process, termed Differential Dissolution-Induced Concentration Drift (DDICD), whereby element-specific dissolution during transport induces systematic shifts in sediment geochemical composition. This process implies that post-transport elemental concentrations depend not on absolute elemental properties, but on their relative differences with respect to coexisting elements, potentially challenging the concentration-conservation assumption underlying conventional sediment fingerprinting techniques when DDICD occurs. To address this issue, we developed a theoretical framework for DDICD and formulated a ratio-tracer-based correction approach. Theoretical analyses using synthetic datasets revealed that DDICD intensity was primarily controlled by the heterogeneity of elemental dissolution rates and initial masses, as well as by the rank concordance between these properties, originating within individual sediment sources and accumulating through source mixing to amplify sediment fingerprinting errors. Empirical results from the Yangtze River Basin showed that concentrations of highly soluble elements generally decreased during transport (e.g., Ca and Mg decreased by 15.02% and 8.06%, respectively), whereas relatively insoluble elements generally increased (e.g., Al increased by 6.39%). Sediment unmixing results further indicated that the mean absolute error (MAE) of source contribution estimates increased logarithmically with transport distance and elevation drop. Compared with element tracers, the use of element ratios substantially improved model accuracy and robustness, reducing mean MAE and its standard deviation by 9.83 and 0.45 percentage points, respectively. All these findings provided strong evidence for the occurrence of DDICD in natural river systems and demonstrated its substantial influence on sediment fingerprinting results. Consequently, DDICD should be explicitly considered in sediment fingerprinting of large catchments or regions characterized by intense weathering and abundant carbonate or silicate minerals, as neglecting this process may introduce systematic biases into sediment source apportionment.
沉积物指纹图谱中不同溶解引起的浓度漂移:理论、验证、影响和解决。
可靠的沉积物来源识别是理解侵蚀动力学和实施有针对性的流域管理的基础。因此,沉积物指纹图谱被广泛应用于沉积物来源的量化。在这里,我们发现了一个以前被忽视的过程,称为微分溶解诱导浓度漂移(DDICD),即在运输过程中元素特异性溶解引起沉积物地球化学组成的系统变化。这一过程表明,迁移后的元素浓度不取决于绝对的元素性质,而是取决于它们相对于共存元素的相对差异,当DDICD发生时,这可能会挑战传统沉积物指纹识别技术所依据的浓度守恒假设。为了解决这一问题,我们开发了DDICD的理论框架,并制定了基于比率示踪剂的校正方法。利用合成数据集进行的理论分析表明,DDICD强度主要受元素溶解速率和初始质量的异质性以及这些性质之间的等级一致性控制,这些性质起源于单个沉积物源,并通过源混合积累以放大沉积物指纹错误。长江流域的实证结果表明,高溶性元素的浓度在运输过程中普遍下降(Ca和Mg分别下降了15.02%和8.06%),而相对不溶性元素的浓度普遍增加(Al增加了6.39%)。泥沙分解结果进一步表明,源区贡献估计的平均绝对误差(MAE)随输运距离和海拔下降呈对数递增。与元素示踪剂相比,元素比例的使用大大提高了模型的准确性和稳健性,平均MAE和标准差分别降低了9.83和0.45个百分点。这些结果为DDICD在天然水系中存在提供了有力的证据,并证明了其对沉积物指纹图谱结果的实质性影响。因此,在大流域或以强烈风化和丰富的碳酸盐或硅酸盐矿物为特征的地区进行沉积物指纹识别时,应明确考虑DDICD,因为忽略这一过程可能会在沉积物来源分配中引入系统性偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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