物种敏感度分布的非参数核密度估计模型Non-Parametric Kernel Density Estimation of Developing Species Sensitivity Distributions
王颖;冯承莲;黄文贤;刘跃丹;马燕;张瑞卿;吴丰昌;
摘要(Abstract):
针对目前物种敏感度分布参数方法建模所存在的缺点,首次提出基于非参数核密度估计方法的物种敏感度分布模型,并提出相应的最优窗宽和检验方法。选用无机汞作为案例研究对象,利用非参数核密度估计方法和3种传统参数模型分别推导了保护我国水生生物的无机汞的急性水质基准值。结果表明,非参数核密度估计方法在推导无机汞水质基准中的稳健性和精确度都大大优于传统参数模型,能够更好地构建物种敏感度分布曲线。该方法的提出丰富了水质基准的理论方法学,为更好地保护水生生物提供了有力的支撑。
关键词(KeyWords): 无机汞;淡水水生生物;水质基准;非参数核密度估计;物种敏感度分布
基金项目(Foundation): 环保公益项目(201309060;201409037);; 国家自然科学基金重点项目(41130743)
作者(Author): 王颖;冯承莲;黄文贤;刘跃丹;马燕;张瑞卿;吴丰昌;
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DOI:
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