Seasonal variations in spatial distribution, mobilization kinetic and toxicity risk of arsenic in sediments of Lake Taihu, China

This study investigated seasonal variations in spatial distribution, mobilization kinetic and toxicity risk of arsenic (As) in sediments of three representative ecological lakes in Lake Taihu. Results suggested that the bioavailability and mobility of As in sediments depended on the lake ecological types and seasonal changes. At the algal-type zones and macrophyte-type zones, elevated As concentrations were observed in April and July, while these occurred at the transition areas in July and October. The diffusion flux of soluble As ranged from 0.03 to 3.03 ng/cm2/d, indicating sediments acted as a source of As. Reductive dissolution of As-bearing iron/manganese-oxides was the key driver of sediment As remobilization. However, labile S(-II) caused by the degradations of algae and macrophytes buffered sediment As release at the algal-type and macrophyte-type zones. Furthermore, the resupply ratio was less than 1 at three ecological lakes, indicating the resupply As capacity of sediment solid phase was partially sustained case. The risk quotient values were higher than 1 at the algal-type zones and transition areas in July, thereby, the adverse effects of As should not be ignored. This suggested that it is urgently need to be specifically monitored and managed for As contamination in sediments across multi-ecological lakes. Arsenic (As) is one of the most prevalent environmentally hazardous elements inducing significant global health problems. Nonetheless, the impact of seasonal variations on the bioavailability and mobility of As within multi-ecological lakes sediments remains insufficiently understood. This study revealed that the bioavailability and mobility of As in sediment were dependent on the lake ecological types and seasonal changes. The risk assessment code utilizing labile As data by DGT provided a precise ecotoxicological risk evaluation of As, and DO was identified as a crucial determining factor in multi-ecological lakes. Our results provide important guidance for lake-specific monitoring and management.