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基于网格化调查的土壤地球化学元素背景时空变化监测方法研究

汪媛媛 李文博 金洋 许伟伟 刘秋香 贺新星 周强 刘玮晶 崔晓丹 汪子意

岩矿测试2025,Vol.44Issue(5):1069-1082,14.
岩矿测试2025,Vol.44Issue(5):1069-1082,14.DOI:10.15898/j.ykcs.202503310071

基于网格化调查的土壤地球化学元素背景时空变化监测方法研究

Monitoring Method of Spatiotemporal Variation of Soil Geochemical Background Elements Based on Grid Surveys

汪媛媛 1李文博 1金洋 1许伟伟 1刘秋香 1贺新星 1周强 1刘玮晶 1崔晓丹 1汪子意1

作者信息

  • 1. 江苏省地质调查研究院,自然资源部国土(耕地)生态监测与修复工程技术创新中心,江苏南京 210018
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摘要

Abstract

Monitoring the spatiotemporal variation of soil geochemical background elements is crucial for regional ecological assessment,land resource management,and pollution risk control.Traditional monitoring methods struggle to balance spatial heterogeneity,dynamic changes,and cost-effectiveness,particularly in highly anthropogenically disturbed plain agricultural areas,leading to redundant or insufficient monitoring points that fail to capture critical environmental processes.This study focuses on a typical plain agricultural area in central Jiangsu Province,utilizing 1:50000 soil geochemical survey data and integrating principal component analysis(PCA),Moran's index,and semivariance functions to develop a unit monitoring strategy.The results show that PCA effectively decouples the dominant influences of natural background elements(Cr,Ni,Co,V)and human activity factors(As,Cd,Hg,Pb,N,P)on element distribution.Spatial autocorrelation analysis reveals that the range values of heavy metal elements(Cu,Cd,As)in the lakeside polder area(92.85-123.30km)are significantly larger than those of geological background elements(4.45-9.12km),with their spatial structure primarily driven by human activities.A dual-level spatial weight model based on PCA integrates soil geochemical element distribution with geological,soil,and geomorphological backgrounds,delineating six monitoring units.This study establishes a dynamic monitoring method that optimizes the spatiotemporal monitoring of soil geochemical background elements through composite weighting of comprehensive range parameters,addressing the inefficiencies of traditional methods in highly heterogeneous regions.The approach is applied to dynamic soil environmental quality monitoring and farmland management,providing parametric support for long-term monitoring network design in rapidly urbanizing regions.

关键词

背景值/监测单元/监测点优化/时空变化监测

Key words

background value/monitoring unit/optimization of monitoring points/temporal-spatial monitoring

分类

地质学

引用本文复制引用

汪媛媛,李文博,金洋,许伟伟,刘秋香,贺新星,周强,刘玮晶,崔晓丹,汪子意..基于网格化调查的土壤地球化学元素背景时空变化监测方法研究[J].岩矿测试,2025,44(5):1069-1082,14.

基金项目

江苏省地质勘查基金项目(苏财资环[2022]27号,苏财建[2017]160号,苏财建[2015]436号) (苏财资环[2022]27号,苏财建[2017]160号,苏财建[2015]436号)

江苏省自然资源发展基金项目(苏财资环[2020]20号) (苏财资环[2020]20号)

江苏省耕地污染防治基金项目(苏财建[2017]123号) (苏财建[2017]123号)

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