元素 (Pb) 在黄金开采区的植被中的压力三维空间分布
Liu Fujiang1, Li Bo1, Lin Weihua2
1School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
Environmental geochemistry and health
|November 14, 2025
概括
空中超光谱成像和LiDAR数据绘制了一个黄金矿区的污染. 这种方法有效地可视化了植被和土壤中的重金属应力,用于生态风险评估.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地质化学 地质化学
背景情况:
- 尾矿池在采矿地区带来了环境挑战.
- 金废弃物处理造成重金属压力在黄金开采区的植被.
研究的目的:
- 使用集成遥感和现场数据绘制 (Pb) 污染的空间分布图.
- 量化植被和土壤中的Pb度,评估生态风险.
主要方法:
- 航空超光谱成像 (HSI) 和LiDAR数据与现场调查的整合.
- ReliefF算法用于识别压力敏感的光谱特征.
- 诱导合等离子体质谱 (ICP-MS) 用于Pb度量化.
主要成果:
- 在植被 (0.18-84.73毫克/公斤) 和土壤 (11.59-800.94毫克/公斤) 中发现了严重的Pb丰富度,超过了国家限制.
- 像RECI和MCARI这样的植被指数与Pb水平有很强的相关性 (R2=0.305).
- 3D Pb 地图显示,在411-416米高处的积累和上坡和下坡的分散.
结论:
- 整合光谱和结构信息为量化潜在有毒元素 (PTE) 压力提供了一个强大的框架.
- 采用多式联运方式,可以有效评估生态风险,并精确监测采矿生态系统中的重金属污染.
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