摘要
鉴于按多年平均流量估计滞留时间进行富营养化敏感程度分类较为粗糙,在月平均尺度上,考虑径流量的概率分布,提出了滞留率、缓流率、倒灌保证率等新的水动力概率参数反映水体动力特征,使水体富营养化敏感程度的识别及分级建立在考虑年内变化及多年变化的基础之上,使之在敏感分级上有更高的分辨率。并以三峡水库为实例,进行了不同支流的水体水动力概率参数的计算。结果显示,不同支流水体间的敏感水动力概率参数有明显差别,依据水动力条件等因素对水体富营养化控制实施差别化管理是必要的。
In traditional way, water bodies are classified according to the residence time, which is estimated based on the multi-year average flowthrough, and the eutrophication sensitivity degrees of lakes reservoirs are evaluated. In this research, in consideration of probability distribution of flow-through, some new hydrodynamic probability parameters, including retention ratio, sluggish flow ratio and back flowing guarantee ratio, are proposed to represent the hydrodynamic futures of water bodies at monthly scale. With these parameters, the identification and classification of eutrophication sensitivity degrees can be established on the basis of considering both seasonal and multi-year variations, and the sensitivity hierarchy has higher resolution. A case study is conducted in the Three Gorges Reservoir, and the hydrodynamic probability parameters in some tributaries are calculated. The results indicate that parameters in different tributaries have obvious differences, and it is necessary to implement distinctive management of eutrophication according to different hydrodynamic conditions.
出处
《环境科学研究》
EI
CAS
CSCD
北大核心
2005年第6期80-84,102,共6页
Research of Environmental Sciences
基金
国家"十五"科技攻关计划项目(2003BA614-04)
国家环境保护总局2003年重点科研项目
关键词
富营养化
湖库
河流
滞留率
缓流率
倒灌保证率
倒灌系数
eutrophication
lake and reservoir
river
retention ratio
sluggish flow ratio
back flowing guarantee ratio
back flowing coefficient
