College of Geo-exploration Science and Technology, Jilin University, Changchun, China.
British Geological Survey, Keyworth, Nottingham, NG12 5GG, United Kingdom.
Sci Data. 2022 Oct 11;9(1):613. doi: 10.1038/s41597-022-01621-x.
Nitrate pollution in groundwater, which is an international problem, threatens human health and the environment. It could take decades for nitrate to transport in the groundwater system. When understanding the impacts of this nitrate legacy on water quality, the nitrate transport velocity (v) in the unsaturated zone (USZ) is of great significance. Although some local USZ v data measured or simulated are available, there has been no such a dataset at the global scale. Here, we present a Global-scale unsaturated zone Nitrate transport Velocity dataset (GNV) generated from a Nitrate Time Bomb (NTB) model using global permeability and porosity and global average annual groundwater recharge data. To evaluate GNV, a baseline dataset of USZ v was created using locally measured data and global lithological data. The results show that 94.50% of GNV match the baseline USZ v dataset. This dataset will largely contribute to research advancement in the nitrate legacy in the groundwater system, provide evidence for managing nitrate water pollution, and promote international and interdisciplinary collaborations.
地下水硝酸盐污染是一个国际性问题,威胁着人类健康和环境。硝酸盐在地下水系统中的迁移可能需要几十年的时间。在了解这种硝酸盐遗留物对水质的影响时,非饱和带(USZ)中的硝酸盐迁移速度(v)非常重要。尽管已经有一些可用的局部 USZ v 数据进行了测量或模拟,但在全球范围内还没有这样的数据集。在这里,我们使用全球渗透率和孔隙度以及全球平均年地下水补给数据,从硝酸盐定时炸弹(NTB)模型中生成了一个全球非饱和带硝酸盐迁移速度数据集(GNV)。为了评估 GNV,我们使用本地测量数据和全球岩性数据创建了一个 USZ v 的基线数据集。结果表明,94.50%的 GNV 与基线 USZ v 数据集匹配。这个数据集将极大地促进对地下水系统中硝酸盐遗留物的研究进展,为管理硝酸盐水污染提供证据,并促进国际和跨学科合作。