水动力摄动条件下沉积物中养分和有机质含量的空间迁移可视化

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Guoxiu Liu , Zaisheng Yan , Hongyang Wang , Yuhuan Yang
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引用次数: 0

摘要

流体动力学可以通过扰动迫使沉积物中的营养物质和有机物迁移,从而导致其空间模式的变化。水动力学的有效性通常通过微观实验来验证,但由于实验规模小,难以捕捉沉积物中污染物含量的微小变化,因此实验结果的可靠性值得怀疑。本研究着眼于小尺度条件下的数据处理方法,通过深入研究不同插值方法的特点和适用性,更好地可视化水动力扰动下沉积物中营养盐和有机质含量的空间格局。在水动力摄动条件下,为支持水动力摄动下沉积物中养分和有机质含量的可视化提供了一种更可靠、更准确的方法。结果表明,在4种克里格插值方法中,普通克里格插值(OK)的插值效果最好。以沉积物中总氮为例,讨论了半变差函数的准确性,复合函数表现良好,但不如线性函数,这可能是由于沉积物中污染物的空间分布相对简单。与OK法和逆距离加权(IDW)插值法相比,IDW法能更好地捕捉局部变化,精度更高。然而,OK方法在空间分布图上的梯度变化更为微妙。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Visualization of the spatial transport of nutrients and organic matter contents in sediments under hydrodynamic perturbation conditions

Visualization of the spatial transport of nutrients and organic matter contents in sediments under hydrodynamic perturbation conditions
Hydrodynamics can force nutrients and organic matter in sediments to migrate through perturbation, causing changes in their spatial patterns. The effectiveness of hydrodynamics is often validated through microcosm experiments, but the reliability of the experimental results is questionable because of the small experimental scale, which makes it difficult to capture small changes in pollutant content in sediments. This study focuses on data processing methods under small-scale conditions, and through an in-depth study of the characteristics and applicability of different interpolation methods, we provide a better visualization of nutrient salt and organic matter contents in sediment spatial patterns under hydrodynamic perturbations. Under hydrodynamic perturbation conditions, a more reliable and accurate method is provided to support the visualization of nutrient and organic matter contents in sediments under hydrodynamic perturbation. The results show that among the four kriging interpolation methods, Ordinary Kriging (OK) performs best. Taking total nitrogen in sediments as an example, the accuracy of the semivariogram function was discussed, and the composite function performed well, but it was not as good as the linear function, which may be due to the relatively simple spatial distribution of pollutants in sediments. Compared with the OK method and Inverse Distance Weighted (IDW) interpolation method, the IDW method can better capture local changes and yield better accuracy. However, the OK method results in a more delicate gradient change on the spatial distribution map.
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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