Recently, environmental pressures along coasts have increased substantially. Classification of estuaries according to their sus- ceptibility to eutrophication nutrient load is a useful method to determine priority man...Recently, environmental pressures along coasts have increased substantially. Classification of estuaries according to their sus- ceptibility to eutrophication nutrient load is a useful method to determine priority management objects and to enforce control measures. Using historical monitoring data from 2007 to 2012, from 65 estuaries, including 101 estuarine monitoring sections and 260 coastal monitoring stations, a nutrient-driven phytoplankton dynamic model was developed based on the relationship among phytoplankton biomass, Total Nitrogen （TN） load and physical features of estuaries. The ecological filter effect of es- tuaries was quantified by introducing conversion efficiency parameter values into the model. Markov Chain Monte Carlo algo- rithm of Bayesian inference was then employed to estimate parameters in the mode/. The developed model fitted well to the observed chlorophyll, primary production, grazing, and sinking rates. The analysis suggests that an estuary with Q/V （the ratio of river flow to estuarine volume） greater than 2.0 per year and e （conversion efficiency ratio） less than 1.0 g C/g N can be classified as less susceptible to TN load, Q/V between 0.7 to 2.0 per year and e between 1.0 to 3.0 g C/g N as moderately sus- ceptible, and e greater than 3.0 g C/g N as very susceptible. The estuaries with Q/V less than 0.7 per year vary greatly in their susceptibility. The estuaries with high and moderate susceptibility accounted for 67% of all the analyzed estuaries. They have relatively high eutrophication risks and should be the focus of environmental supervision and pollution prevention.展开更多
基金supported by Environmental Protection Public Welfare Project of China(Grant No.201309008)
文摘Recently, environmental pressures along coasts have increased substantially. Classification of estuaries according to their sus- ceptibility to eutrophication nutrient load is a useful method to determine priority management objects and to enforce control measures. Using historical monitoring data from 2007 to 2012, from 65 estuaries, including 101 estuarine monitoring sections and 260 coastal monitoring stations, a nutrient-driven phytoplankton dynamic model was developed based on the relationship among phytoplankton biomass, Total Nitrogen （TN） load and physical features of estuaries. The ecological filter effect of es- tuaries was quantified by introducing conversion efficiency parameter values into the model. Markov Chain Monte Carlo algo- rithm of Bayesian inference was then employed to estimate parameters in the mode/. The developed model fitted well to the observed chlorophyll, primary production, grazing, and sinking rates. The analysis suggests that an estuary with Q/V （the ratio of river flow to estuarine volume） greater than 2.0 per year and e （conversion efficiency ratio） less than 1.0 g C/g N can be classified as less susceptible to TN load, Q/V between 0.7 to 2.0 per year and e between 1.0 to 3.0 g C/g N as moderately sus- ceptible, and e greater than 3.0 g C/g N as very susceptible. The estuaries with Q/V less than 0.7 per year vary greatly in their susceptibility. The estuaries with high and moderate susceptibility accounted for 67% of all the analyzed estuaries. They have relatively high eutrophication risks and should be the focus of environmental supervision and pollution prevention.
