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弹性和高的组成变异性反映了河水对全球驱动因素的复杂反应:东西伯利亚河流化学数据库

Caterina Gozzi¹, Antonella Buccianti²

¹University of Florence, Dept. of Earth Sciences, Via G. La Pira 4, 50121 Firenze, Italy; NBFC, National Biodiversity Future Center, Palermo 90133, Italy.

The Science of the total environment

|November 2, 2023

概括

全球变暖改变了河水的化学成分. 新的组成数据分析方法揭示了东西伯利亚河流中的弹性 (Ca2+,Mg2+,HCO3-) 和脆弱 (Cl-,Na+,SO42-) 溶液,表明复杂的反机制.

科学领域:

环境化学环境化学
水文学的水文学
数据科学数据科学数据科学

背景情况:

河水化学对于了解气候变化和全球变暖导致的环境变化至关重要.
诸如干旱,洪水,土地退化和永久土解等因素显著影响河流水组成和流域动态.
组成数据分析 (CoDA) 提供了统计方法来分析河水化学成分中的复杂结构和相互关系.

研究的目的:

引入一种新的CoDA方法来分析河水化学的变化.
调查全球变暖引起的永久土退化对西伯利亚东部河流水组成的影响.
为了识别耐受性强或易受环境压力的化学成分.

主要方法:

开发了一种新的CoDA方法,将强大的Mahalanobis距离 (D) 的ilr转换变量和扰乱差结合起来.
使用原始的组成基准进行比较.
将这些方法应用于东西伯利亚河流化学数据库.

主要成果:

确定了东西伯利亚河流中溶液的复杂乘法和反机制.
在不连续的永久土地区观察到高Mahalanobis距离 (D).
在全球变化的压力下,从脆弱的溶液 (Cl-,Na+,SO42-) 获得分化弹性溶液 (Ca2+,Mg2+,HCO3-).

结论:

这项研究强调了受永久土融化影响的东西伯利亚河流中复杂的溶液动态.
新的CoDA方法有效地区分了弹性和脆弱的化学成分.
这些发现为开发面临环境变化的河流生态系统的时空弹性指标铺平了道路.

关键词:

气候变化气候变化气候变化计算方法计算方法环境地质化学环境地质化学永久土的退化降解简单的几何学简单的几何学差异差异是指差异的差异.

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