利用kriging插值技术研究嫩河沿岸沉积物重金属的空间变异

I. Ilaboya, J. Ehiorobo, N. Onwo
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引用次数: 0

摘要

本研究采用地理空间统计技术对嫩河流域重金属的空间分布进行了评价。使用Uwitec三重沉积物切割器从相对未受干扰的地区(25个不同的站点)收集岩心沉积物样本。利用德国手持式GPS接收机确定沉积物样品位置的直角坐标。用原子吸收分光光度计测定了沉积物中镉、铅、铬、锌的浓度。在地理空间分析中,对四个关键参数(重金属)分别拟合了五个半变异函数模型(稳定、圆形、球形、指数和k -贝塞尔)。此外,利用四种拟合优度统计量(均方误差、均方根误差、均方根标准化误差和平均标准误差)来确定最合适的模型,用于开发每个参数的最终预测图。从得到的结果可以看出;红色区域表示镉、铅、铬和锌的浓度较高。进一步评价结果表明,Otuan、Obeleli、Angiama、Odobio、Kasama、Akedda和Akele的镉浓度较高,而Tombia、Ewoi、Abilabio、Agudama和Yenikpa的铅浓度较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of the spatial variation of sediments heavy metals along the Nun River using kriging interpolation technique
This study employs geospatial statistical technique to assess the spatial distribution of heavy metals along the Nun River. Core sediment samples were collected from relatively undisturbed areas (twenty-five different stations) using Uwitec Triple sediment cutter. The rectangular coordinates of the sediment sample location were determined with the aid of Germin handheld GPS receiver. The concentrations of cadmium, lead chromium and zinc present in the sediments was determined with the aid of an atomic absorption spectrophotometer. For geospatial analysis, five semi-variogram models (stable, circular, spherical, exponential and K-Bessel) were fitted for each of the four critical parameters (heavy metals). In addition, four goodness-of-fit statistics (mean square error, root mean square error, root mean square standardized error and average standard error) were utilized to decide the most suitable model used to develop the final prediction map for each parameter. From the results obtained, it was observed that; regions with red color codes signify higher concentrations of cadmium, lead, chromium and zinc. Further assessment of the results showed that Otuan, Obeleli, Angiama, Odobio, Kasama, Akedda and Akele experienced high concentration of cadmium while Tombia, Ewoi, Abilabio, Agudama and Yenikpa experienced high concentration of lead.
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