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一种基于等级剩余校正的超谱反转方法,用于土壤重金属,考虑到空间异质性

Yulong Wang¹, Bin Zou², Sha Li¹

¹School of Geosciences and Info-Physics, Central South University, Changsha 410083, China.

Journal of hazardous materials

|September 3, 2024

概括

这项研究引入了一种新的超谱反转方法,以准确地绘制土壤重金属 (SHM) 污染的地图. 基于等级剩余校正的超谱反转方法 (HRCHIM) 通过考虑局部环境变化来改善预测.

科学领域:

环境科学环境科学
地质科学是地球科学.
遥感遥感遥感遥感

背景情况:

土壤重金属 (SHM) 污染对环境构成风险.
超光谱遥感显示了SHM监控的潜力.
空间异质性和环境因素使精确的SHM反转变得复杂.

研究的目的:

开发一种新的方法来准确地进行SHM反转,考虑到空间异质性.
为了解决光谱反射率和SHM度之间的非静止关系.
为了提高SHM空间分布模式的解释.

主要方法:

提出了基于等级剩余校正的超谱反转方法 (HRCHIM).
使用地面超光谱数据构建了一个全球预测模型.
用地质探测器来识别环境因素,用于等级剩余校正模型.

主要成果:

为了提高准确性,HRCHIM将全球趋势与本地随机性协同使用.
在层次层面上确定了影响SHM的六个关键环境因素.
在受污染的区域中,在Rv2 = 0.94,RMSEv = 0.21,RPDv = 4.11 的情况下,实现了优异的反转性能.

结论:

HRCHIM显著提高了SHM空间异质性的准确性和可解释性.
该方法为SHM污染评估提供了更精确的方法.
促进预防和控制土壤重金属污染的有针对性的战略.

关键词:

污染污染污染环境因素环境因素地质探测器地质探测器机器学习是机器学习.标准偏差的标准偏差是什么

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