摘要
分析了基于物种敏感度分布(SSD)的概率生态风险评价的数学原理,并在此基础上首次给出了概率生态风险评价的Matlab函数“PERA”,该函数只需要污染物的生物毒性数据和环境监测数据作为输入变量即可获得SSD曲线、HC5值、联合概率曲线(JPC)以及JPC与坐标轴所围面积表示的发生有害生物效应的总体风险概率(ORP值)等指标,可用于污染物环境基准的推导和污染物生态风险评价。
In this paper,the mathematical principle of probabilistic ecological risk assessment(PERA)based on species sensitivity distribution(SSD)is analyzed,and then a Matlab function“PERA”of this assessment is provided for the first time.Through this function,the SSD curve,HC5 value,joint probability curve(JPC)and ORP value can be obtained by using the biological toxicity data and environmental monitoring data of the pollutants as input variables,which is used to derive the environmental criteria and to assess the ecological risk of the pollutants.The last index ORP is the area enclosed by JPC and the two coordinate axes,which represents the overall risk probability of harmful biological effects.
作者
冯永亮
FENG Yong-liang(Department of Fundamental Sciences Teaching, Tangshan University, Tangshan 063000, China)
出处
《唐山学院学报》
2020年第6期18-23,36,共7页
Journal of Tangshan University
关键词
物种敏感度分布
联合概率曲线
MATLAB
概率生态风险评价
species sensitivity distribution(SSD)
joint probability curve(JPC)
Matlab
probabilistic ecological risk assessment
