土壤污染采样的不同方法对重金属分布特征的影响研究
Effects of Different Sampling Methods on Distribution Characteristics of Heavy Metals in Contaminated Soil
柯维丰1
作者信息
- 1. 江西省上饶生态环境监测中心,江西 上饶 334000
- 折叠
摘要
土壤污染是全球面临的重要环境问题之一,重金属污染的土壤具有隐蔽性和持久性,对生态系统和人类健康构成重大威胁.合理的采样方法对于评价土壤重金属污染的分布特征至关重要.本研究对随机采样法、分层采样法、网格采样法和关键区域采样法四种不同的土壤污染采样方法进行了比较分析,旨在揭示不同采样方法对土壤中重金属分布特征的影响.研究结果表明,采样方法对重金属的空间分布特征解析具有显著影响.通过综合考虑土壤类型、采样密度和深度,以及质量控制措施的优化,本研究提出了一套土壤重金属采样策略优化方案,以期提高土壤污染评价的准确性和效率.
Abstract
Soil pollution is one of the important environmental problems faced by the world,and the soil polluted by heavy metals is insidious and persistent,posing a major threat to the ecosystem and human health.Reasonable sampling methods are essential to evaluate the distribution characteristics of soil heavy metal pollution.In this study,four different soil pollution sampling methods,namely random sampling,stratified sampling,grid sampling,and critical area sampling,were compared and analyzed,aiming to reveal the effects of different sampling methods on the distribution characteristics of heavy metals in soil.The results show that the sampling method has a significant impact on the analysis of the spatial distribution characteristics of heavy metals.By comprehensively considering the soil type,sampling density and depth,as well as the optimization of quality control measures,this study proposed a set of optimization strategies for soil heavy metal sampling to improve the accuracy and efficiency of soil pollution assessment.
关键词
土壤污染/重金属/采样方法/随机采样/分层采样Key words
soil pollution/heavy metals/Sampling methods/random sampling/stratified sampling引用本文复制引用
出版年
2024
NETL
NSTL
万方数据