作　　者： ; ; ; ; ; ; ; (智国铮）;

机构地区： 湖南大学环境科学与工程学院环境生物与控制教育部重点实验室

出　　处： 《中国环境科学》 2013年第11期2095-2101,共7页

摘　　要： 基于湖泊水环境系统多种不确定性共存或交叉存在的特性,将延拓盲数理论应用于湖泊富营养化评价领域,用延拓盲数表示各参数浓度,与综合营养状态指数模型相耦合,建立基于延拓盲数的综合营养状态指数评价模型.采用该模型评价了洞庭湖的富营养化状况,结果表明,西洞庭湖、南洞庭湖和洞庭湖出口的富营养化程度较低,处于中营养级别,东洞庭湖的富营养化程度较高,处于中营养-轻富营养级别,并且有恶化到中富营养级别的趋势.相对于常规的确定性方法,综合评价模型得出了评价区域综合营养状态指数的可能值区间及其相应的可信度水平,较好地弥补了确定性评价方法的不足,更科学、全面地表征了评价区域的富营养状态与空间分布差异. Based on the characteristics of various uncertainties coexist or cross-existence of lake water environment system, extended blind number theories were applied to the field of lake eutrophication assessment. Connecting the extended blind numbers represented the concentrations of parameters with the comprehensive nutrition state index model, the comprehensive trophic level index model was established on the basis of extended blind number theory. Then it was used to evaluate the eutrophication state of Dongting lake. The results showed that the mesotropher region was in the west, south and export of Dongting lake. However, the east Dongting lake were higher, ranging from mesotropher level to light eutrophic level, and had the tendency to the level of meso-eutrophic. Compared with the deterministic method, the comprehensive evaluation model can calculate both the possible ranges and their credible degrees of the comprehensive nutrition state index. Therefore, this model gave a better characterization of the actual eutrophication status and spatial distribution difference of the nutrients which was more scientific and comprehensive.

关 键 词： 延拓盲数 洞庭湖 综合营养状态指数 富营养化评价

领　　域： [环境科学与工程] [环境科学与工程]