Challenges for rapid dam construction remain, including
pollutant
trajectories after construction, how socioeconomic developments drive
long-term water quality and large spatial changes, and which indicators
primarily control these changes. Here, high-density sampling and socioeconomic
data were integrated to assess primary factors controlling Yangtze
River water quality. Our results indicated that the pollutant trajectories
in the upper and lower sections differ, owing to the Three Gorges
Dam. From 2003 to 2020, the decreased TP, NH4
+-N, and CODMn concentrations were strongly correlated
to the per capita gross domestic product, drainage pipe length, number
of wastewater treatment plants, and fertilizer consumption. Moreover,
Se and Cd concentrations decreased, whereas Ni and Zn concentrations
increased from 2007 to 2020. The water quality index (WQI) demonstrated
that Yangtze River water quality varies from levels “good”
to “excellent”, is better in the winter, and deteriorates
with decreasing distance from the estuary. Furthermore, an optimized
WQI model consisting of six crucial parameters (TN, Pb, Cd, Zn, NO3
––N, and As) was built using the
random forest method, which exhibits excellent performance in water
quality assessment. The approach proposed in the present study can
significantly reduce the number of parameters required to assess water
quality without compromising the results.