论文部分内容阅读
采用现场调查与系统模拟的方法,以辽河油田曙光地区湿地为研究对象,全面分析了研究区湿地水体石油污染程度及净化能力现状,提出了基于Monte Carlo模拟的湿地对石油类污染物净化效率估算模型,并根据研究区的自然特征,利用水量及氮磷营养等因子调控,对湿地不同区块的净化能力进行优化设计.结果表明:研究区各区块对石油类污染物的净化能力存在差异,主要是由于区块间湿地结构与内在特征不同所致.湿地自然条件下石油类污染物的净化效率为5.4%,平均残留浓度为1.05 mg·L~(-1),通过优化设计,湿地对石油类污染物净化效率达到约20%.本文建立的湿地净化能力优化设计与仿真调控方法,为辽河口湿地水体中石油类污染物的去除提供了重要的技术手段.
Based on the field investigation and system simulation, taking the wetland in Shuguang area of Liaohe Oilfield as the research object, the current situation of the degree of oil pollution and purification ability in the wetland water in the study area was comprehensively analyzed. The estimation of purification efficiency of petroleum pollutants based on Monte Carlo simulation was proposed According to the natural characteristics of the study area, the purification capacity of different blocks in wetlands was optimized by using the regulation of water amount, N and P. The results showed that there were differences in the purification ability of petroleum pollutants in each block in the study area, Mainly due to the different structure and inherent characteristics of the wetland between the blocks.The purification efficiency of petroleum pollutants under the natural conditions of wetlands was 5.4% and the average residual concentration was 1.05 mg · L -1. By optimizing the design, The purification efficiency of petroleum pollutants reaches about 20% .In this paper, the optimal design and simulation methods of wetland purification capacity provide important technical means for the removal of petroleum pollutants in the water bodies of Liaohe River estuary.