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首页> 外文期刊>Bulletin of Environmental Contamination and Toxicology >The Application of Expectation and Standard Deviation Calculations in the Evaluation of Dissolved Arsenic in the Pu River, Liaoning Province, Northeastern China
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The Application of Expectation and Standard Deviation Calculations in the Evaluation of Dissolved Arsenic in the Pu River, Liaoning Province, Northeastern China

机译：中国东北辽宁省Pu河溶解砷评价中的预期和标准偏差计算

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摘要

Water samples were collected from the Pu River in 2017 to research the distribution and accumulation characteristics of dissolved arsenic. We mainly built three types of expectation and standard deviation calculations corresponding to discrete, weighted and continuous random variables. The continuous expectation and standard deviation calculations are defined based on the concentration function and average formula, and the weighted expectation and standard deviation calculations are defined based on the relationship between the concentration and distance. The results indicate that the discrete expectation (1.8351g/L) and standard deviation (0.6410g/L) describe the average level and the deviation degree, respectively, of dissolved arsenic, and the continuous expectation (1.8684g/L) and standard deviation (0.5375g/L) mainly describe the average level and the dispersion degree, respectively, of dissolved arsenic after its accumulation. The weighted expectation (1.2997g/L) and standard deviation (0.2816g/L) reflect the average level and the dispersion degree, respectively, of dissolved arsenic and reveal the quantitative relationship between the concentration of dissolved arsenic and distance. The combination of the three types of expectation and standard deviation calculations and the concentration function may comprehensively describe the distribution and accumulation characteristics of dissolved arsenic, which can provide a theoretical foundation for guiding the reduction of arsenic pollution in the Pu River.
机译：2017年从普河收集水样，研究了溶解砷的分布和累积特性。我们主要建立了三种类型的期望和标准偏差计算，对应于离散，加权和连续随机变量。基于浓度函数和平均公式来定义连续期望和标准偏差计算，并且基于浓度和距离之间的关系来定义加权期望和标准偏差计算。结果表明，离散期望（1.8351G / L）和标准偏差（0.6410g / L）分别描述了溶解砷的平均水平和偏差程度，以及连续期望（1.8684G / L）和标准偏差（0.5375g / L）主要描述其积累后分散砷的平均水平和分散度。加权期望（1.2997G / L）和标准偏差（0.2816g / L）分别反映溶解砷的平均水平和分散度，并揭示溶解砷浓度与距离之间的定量关系。三种类型的期望和标准偏差计算的组合和浓度函数可以全面地描述溶解砷的分布和累积特性，这可以为引导普河中减少砷污染的理论基础。

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