Deng Yixiang, Lei Kun, Critto Andrea, Qiao Fei, Li Zicheng, Fu Guo
Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Mar Pollut Bull. 2017 Jan 15;114(1):269-276. doi: 10.1016/j.marpolbul.2016.09.029. Epub 2016 Sep 19.
The total pollutant load allocation (TPLA) can be transformed into an optimization problem with regards to water quality constraints. The optimization calculation may become very time consuming when the number of water quality constraint equations is great. A Trial and Error Method (TEM) to remove the redundant points was first introduced through iterative calculations under structure and non-structure model grids. The TEM was applied for the TPLA in the Bohai Sea in China. The calculation time was reduced to about 2min under the condition that 103,433 model grids met the water quality standards. In the best case, the optimization efficiency was improved by 98.9%. The allocation results showed that approximately 90% of total nitrogen (TN) load should be reduced in the 56 pollution sources around the Bohai Sea; of these values, roughly 85% of the reduction could come from 10 pollution sources.
总污染物负荷分配（TPLA）可转化为一个关于水质约束的优化问题。当水质约束方程数量众多时，优化计算可能会变得非常耗时。首次通过在结构化和非结构化模型网格下的迭代计算引入了一种去除冗余点的试错法（TEM）。该试错法应用于中国渤海的总污染物负荷分配。在103,433个模型网格满足水质标准的条件下，计算时间缩短至约2分钟。在最佳情况下，优化效率提高了98.9%。分配结果表明，渤海周边56个污染源的总氮（TN）负荷应减少约90%；其中，约85%的减少量可来自10个污染源。
