The assessment of heavy metal (HM) distributions, sources,
and
potential risks is the first step of high-efficiency contaminant degradation
and sustainable water resource utilization. In this study, the assessment
of nine HMs from a typical urban river (Yongding River) in Beijing,
China was implemented. Results evidence that the mean HM concentrations
decreased in order: Mo > V > As > Zn > Ni > Mn >
Fe > Cr > Co. The
concentration of As, Zn, Mn, Fe, and Mo has a significant increase
in the middle reaches, indicating agricultural and industrial pollution
sources nearby. Three factors were extracted via principal component
analysis, suggesting that As, Ni, Co, Mo, and V are mainly derived
from anthropogenic inputs. Mn and Cr likely originated from natural
sources, while Fe and Zn stemmed from mixed origins. The HM contamination
levels are moderate and concentrated on As and Cr. Strong correlations
among HMs and regional land use also confirmed the result. The noncarcinogenic
and carcinogenic risks of HMs were evaluated based on four age groups
by Monte Carlo simulation. Although the results of environmental modeling
revealed a weak carcinogenic risk of As in adults (6.20 × 10–5), the risk for juveniles cannot be ignored. Target
hazard quotients analysis implied relatively low noncarcinogenic risk
when consuming fish tissues from rivers, and the carcinogenic risk
of inorganic As in fish was acceptable. In total, this study provided
powerful support for restoring HM contaminations and maintaining sustainable
urban water management.