Solid-liquid partitioning and variation of palladium in rainfall runoff
Haofeng Liu1,2, Fangfang Ding1,2, Yuyan Liu3,4
1College of Geography and Environmental Science, Hainan Normal University, Haikou, 571158, Hainan, China.
Environmental Geochemistry and Health
|July 6, 2021
Summary
This study tracked palladium (Pd) in rainfall runoff, finding it mainly moves with suspended particles. Environmental factors influence its distribution, but water quality parameters have less impact under complex conditions.
Area of Science:
- Environmental Science
- Geochemistry
- Analytical Chemistry
Background:
- Palladium (Pd) is crucial for automotive catalytic converters, reducing vehicle emissions.
- Understanding palladium's environmental fate in rainfall runoff is essential for pollution control.
Purpose of the Study:
- To analyze the solid-liquid partitioning of palladium in rainfall runoff.
- To investigate the dynamic variations in palladium's phase distribution.
- To assess the influence of rainfall characteristics and microenvironmental factors on palladium transport.
Main Methods:
- Analysis of solid-liquid partitioning using partition coefficients (K).
- Monitoring dynamic variations in palladium phase distribution.
- Investigating the role of suspended particulate matter in palladium transport.
- Evaluating the impact of rainfall characteristics and water quality parameters (pH, Eh, Cl⁻).
Main Results:
- Palladium partition coefficients ranged from 0.05 to 8.55.
- Transport via suspended particulate matter is the primary mechanism for palladium migration in runoff.
- Palladium phase distribution showed complex dynamic variations (W, M, N, and semi-U types).
- Rainfall and microenvironmental factors significantly affected palladium distribution in initial runoff events.
Conclusions:
- Suspended particulate matter is the dominant carrier for palladium in rainfall runoff.
- Complex dynamic variations in palladium partitioning are influenced by environmental factors.
- The impact of water quality parameters on palladium partitioning is diminished under multifactor coupling.
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