In this paper

Bayesian methods are used to estimate parameters of the stagedischarge power law model in the Dongjiang River

the average low flow

medium flow and high flow uncertainty are calculated and factors affecting the flow uncertainty are analyzed. The results show that: (1) The overall uncertainty of flow data is at a middle-high level

in which high flow uncertainty is maximum

followed by medium and low flow. (2) Human activities

such as construction of reservoirs

river regulation

cofferdams damming

and large-scale mining river sand

have a significant impact on the size and trends of flow uncertainty; the impact of large river floods on hydraulic characteristics and geometric shape is complex

without obvious change in uniform trend.