Discharge for wastewater treatment plays a key role in improving the water quality, thereby guaranteeing living quality of citizens. With high-speed economics growth and economics reforming, total amount of China's discharge of wastewater treatment is sharing high uncertainty, leading to many difficulties in accurate forecasts of discharge of wastewater treatment. Based on grey system theory, the hyperbolic time-delayed term is introduced in this paper to develop a novel forecasting model in order to deal with uncertainties of China's sewage discharge forecasting. The key nonlinear parameter of the proposed model is determined by the Grasshopper Optimization Algorithm. A series of practical numerical cases prove that the proposed model is reliable in comparison with six existing models are used for comparison. Then we apply it to predict the behavior of sewage discharge in China, those results against demonstrating the model our proposed has more satisfactory prediction precision.

废水处理的排放在改善水质中起着关键作用，从而保证了居民的生活质量。随着经济的高速增长和经济改革，我国废水处理排放总量具有高度的不确定性，在准确预测废水处理排放量方面存在许多困难。本文基于灰色系统理论，引入了双曲线时滞项，建立了一种新型的预测模型，以应对我国污水排放量预测的不确定性。该模型的关键非线性参数由蚱is优化算法确定。一系列实际数值案例证明，与使用六个现有模型进行比较相比，该模型是可靠的。