基于2014—2020年茅岭江入海口断面径流量及化学需氧量(COD)、总氮(TN)和总磷(TP)数据，通过LOADEST模型优化计算了COD、TN和TP的入海通量。结果表明：(1)LOADEST模型建立的茅岭江COD、TN和TP的入海通量回归方程，模拟计算的入海通量与实测值具有很好的一致性。(2)模拟计算的COD、TN和TP多年平均入海通量分别为34 537 t/a、3 302 t/a和235 t/a，月平均入海通量分别为2 878 t/月、275 t/月和19.58 t/月；雨季COD、TN和TP的入海通量分别占年入海通量的77%、80%和71%；COD、TN和TP的年入海通量中分别有21 059~25 271 t/a、1 775~2 130 t/a和70~84 t/a来自于非点源，COD和TN主要受非点源控制，TP不仅受非点源控制，也受点源控制。(3)对比分析钦江和茅岭江COD、TN和TP的多年平均入海通量可知，钦江COD、TN和TP的多年平均入海通量分别约为茅岭江的1.16、2.15和2.37倍，入海通量不同主要受沿岸居住的人口数量影响。

Based on the runoff, the chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP) data in the Maolingjiang River Estuary section from 2014 to 2020, the inflow fluxes of COD, TN and TP were calculated by the LOADEST model. Results showed that: (1) The regression equation of COD, TN and TP fluxes into the sea from the Maolingjiang River was well fitted by the LOADEST model, there were consistencies between the simulated and measured values. (2) The simulated multi-year average COD, TN and TP inflow fluxes were 34 537 t/a, 3 302 t/a and 235 t/a, and the monthly average inflow fluxes were 2 878 t/month, 275 t/month and 19.58 t/month, respectively. COD, TN and TP inflow fluxes in the wet season accounted for 77%, 80% and 71% of the total annual inflow fluxes, respectively. The multi-year average inflow fluxes of COD, TN and TP were 21 059~25 271 t/a, 1 775~2 130 t/a and 70~84 t/a from non-point sources, respectively. COD and TN were mainly controlled by non-point sources. TP was controlled not only by non-point sources but also by point sources. (3) Comparatively, the multi-year average inflow fluxes of COD, TN and TP of the Qinjiang River were about 1.16, 2.15 and 2.37 times those of the Maolingjiang River, respectively. The difference of inflow fluxes of COD, TN and TP from the Qinjiang River and Maolingjiang River were mainly affected by the number of people living along the river.