five

Variable KOC and Poor-Quality Data Sources Cause High Discrepancy in Current Mobility Assessment of Organic Substances

收藏
Figshare2025-01-10 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Variable_i_K_i_sub_OC_sub_and_Poor-Quality_Data_Sources_Cause_High_Discrepancy_in_Current_Mobility_Assessment_of_Organic_Substances/28184152
下载链接
链接失效反馈
官方服务:
资源简介:
The widespread distribution of persistent, mobile, and toxic organic chemicals (PMT) in aquatic environments poses a threat to water resources. Current mobility assessments rely on the organic carbon normalized adsorption coefficient (KOC), but it is sometimes highly variable with sorptive phase (soil/sediment) properties. There is a common oversight that this variability causes assessment discrepancies. Herein, this variability was quantitatively evaluated based on compiled experimental KOC data sets, which were obtained under OECD guidelines. The results show that both the average discrepancy rate and relative difference rate are nearly half of those of the substances among recent reports. The underlying reasons are high KOC variability and poor-quality assessment data sources which fail to capture this variability. The variation in KOC values for one-third of the charged organic compounds is more than 1 order of magnitude, around twice higher than that of neutral organic compounds. The KOC values from common integrated databases or available quantitative structure–property relationships all have almost orders of magnitude differences compared with data sets, especially for charged compounds. The insights presented here have significant value in the future development of a proper mobility assessment.
创建时间:
2025-01-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作