首页> 外文期刊>Research journal of environmental and earth sciences >The use of Kriging Techniques with in GIS Environment to Investigate Groundwater Quality in the Amman-Zarqa Basin/Jordan
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The use of Kriging Techniques with in GIS Environment to Investigate Groundwater Quality in the Amman-Zarqa Basin/Jordan

机译:GIS环境中的克里金法技术在安曼扎卡盆地/约旦的地下水质量调查中的应用

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The Kriging techniques are called the best linear unbiased estimator since it tries to have a mean residual error equal to zero. It aims to minimizing the variance of the errors and hence is a strong advantage over other estimation methods like inverse distance weighting or moving average. In this study, the ordinary kriging techniques were used to estimate groundwater quality parameters (Ca2+, Mg2+, Na+, K+, Cl- and NO3-). It was found that the spatial interpolation of groundwater quality of the study area poses various problems due to the complex impact of cultivation and urbanization systems of the study area. Testing of various methods and parameters, by comparing and ranking their cross-correlation errors, show that ordinary kriging method using the different semivariogram models provides the overall good results. Also, most of the groundwater quality parameters have moderate spatial structure except NO3 and Ca that have a strong spatial structure.
机译:Kriging技术被称为最佳线性无偏估计器,因为它试图使平均残留误差等于零。它旨在最小化误差的方差,因此与其他估算方法(例如反距离权重或移动平均值)相比,具有强大的优势。在这项研究中,使用普通克里金法估算地下水质量参数(Ca 2 + ,Mg 2 + ,Na + ,K < sup> + ,Cl -和NO 3 -)。结果发现,由于研究区的耕种和城市化系统的复杂影响,研究区地下水水质的空间插值带来了各种问题。通过比较和排序它们的互相关误差,对各种方法和参数进行测试,结果表明,使用不同半变异函数模型的普通克里金法可提供总体良好的结果。此外,除NO 3 和Ca具有强的空间结构外,大多数地下水质量参数具有适度的空间结构。

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