欧洲地表土壤中度的空间评估
Elise Van Eynde1, Arthur Nicolaus Fendrich2, Cristiano Ballabio3
1European Commission, Joint Research Centre (JRC), Ispra, VA, Italy.
The Science of the total environment
|June 2, 2023
概括
一个机器学习模型绘制了欧洲表层土壤中 (Zn) 的分布图,揭示了粘土含量和pH值作为关键的自然驱动因素. 采矿和牲畜便被确定为影响土壤含量的重要人为来源.
科学领域:
- 环境科学 环境科学
- 土壤科学 土壤科学
- 地质化学 地质化学
背景情况:
- (Zn) 对农业和人类健康至关重要,但过量有毒.
- 了解Zn在欧洲表层土壤中的空间分布和影响因素对于风险评估和管理至关重要.
研究的目的:
- 为了创建一个高分辨率的地表土壤Zn度在欧洲的地图.
- 为了确定自然驱动因素 (例如,土壤特性) 和影响水平的人为来源.
主要方法:
- 将机器学习模型应用于来自卢卡斯上层土壤数据库 (2009/2012) 的21,682个土壤样本.
- 为了测量Zn,利用了水域提取,并以250米分辨率分析了空间分布.
- 与土壤特性和地质沉积物/采矿活动的邻近度相关联的 Zn 度.
主要成果:
- 创建了欧洲地表土壤中 Zn 度的地图 (平均41 mg kg-1,RMSE ~40 mg kg-1).
- 粘土含量是主要因素;粗土中较低的Zn. 低 pH 和高 pH 的土壤 (Podzols,Calcisols) 呈现较低的 Zn.
- 与采矿活动和矿床相关的高度Zn (>167毫克/公斤-1);在草原中含量较高,可能来自肥.
结论:
- 开发的度图作为生态毒理风险评估和确定欧洲缺乏地区的关键参考.
- 研究结果为未来有关土壤健康,污染,作物营养和人类福祉的政策提供了基础.
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