Spatial variation and potential ecological risk assessment of trace elements in the sediments of Chaohu Lake in China

This study analyzed the heavy metals contents of copper (Cu), zinc (Zn), cadmium (Cd), mercury (Hg), arsenic (As), chromium (Cr), nickel (Ni), and lead (Pb) in sediments of the Chaohu Lake using inductively coupled plasma mass spectrometry. All the data processes were conducted using Microsoft Office 2019, and the statistical analyses using the Sigma-Plot version 12.0 (Systat Software, Inc., San Jose, CA, USA) and SPSS (Version 19.0, Chicago, IL, USA). The geospatial map was accomplished using ArcGIS 10.2 (Esri, Redlands, CA, USA). Pearson’s correlation coefficient evaluated the occurrence of a linear correlation between analyzed variables. Data analysis also included mean and standard deviations.

本研究采用电感耦合等离子体质谱法（Inductively Coupled Plasma Mass Spectrometry），对巢湖（Chaohu Lake）沉积物中铜（Cu）、锌（Zn）、镉（Cd）、汞（Hg）、砷（As）、铬（Cr）、镍（Ni）及铅（Pb）的重金属含量开展分析。所有数据处理工作均通过Microsoft Office 2019完成，统计分析则借助Sigma-Plot 12.0版本（美国加利福尼亚州圣何塞市Systat软件公司）与SPSS 19.0版本（美国伊利诺伊州芝加哥市）进行。地理空间分布图的绘制依托ArcGIS 10.2（美国加利福尼亚州雷德兰兹市Esri公司）完成。本研究采用皮尔逊相关系数（Pearson’s Correlation Coefficient）评估各分析变量间是否存在线性相关性，数据分析内容还涵盖均值与标准差的计算。