利用回归克里格法根据井深和井容分析地下水

Aras Jalal Mhamad
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引用次数: 2

摘要

地下水很有价值,因为农业、家庭、生态和工业都需要它作为淡水。然而,随着人口的增长和经济的发展,地下水环境变得越来越重要和广泛。因此,本研究的目的是利用现代分析预测方法——回归克里格法(RK),根据井深和井容对2018年地下水进行分析预测。回归克里格是一种地质统计学方法,它利用采样变量本身的空间变化和从协变量图中收集的环境信息作为目标预测器。在伊拉克库尔德斯坦地区的苏莱曼尼省,可以预测地下水质量地图。在苏莱曼尼市地下水管理局收集了有关地下水水井深度和容量的样本数据。在回归克里格法中,最重要的研究结果是深度和容量预测图。高井深样品位于苏莱曼尼省南部,而苏莱曼尼省北部和中部地区的井深较低。尽管来自高容量的样本位于苏莱曼尼省南部,但在北部和中部,井的容量已经下降。水深230 ~ 482m是研究区面积较大的区域,容量29 ~ 158G/s是研究区面积较小的区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Regression Kriging to Analyze Groundwater According to Depth and Capacity of Wells
Groundwater is valuable, because it is needed as fresh water for agricultural, domestic, ecological and industrial purposes. However, due to population growth and economic development, the groundwater environment is becoming more and more important and extensive. So the objective of the study is to analyze and predicting groundwater for the year 2018 based on depth and capacity of wells by using the modern style of analyzing and predicting, which is regression kriging (RK) method. Regression kriging is a geostatistical approach that exploits both the spatial variation in the sampled variable itself, and environmental information collected from covariate maps for the target predictor. It is possible to predict groundwater quality maps for areas at Sulaimani governorate in Kurdistan Regions Iraq. Sample data concerning depth and capacity of groundwater wells were collected on Ground Water Directorate in Sulaimani City. The most important result of the study in the regression kriging was the depth and capacity prediction map. The samples from the high depth of wells are located in south of Sulaimani governorate, while the north and middle areas of Sulaimani governorate have got low depths of wells. Although the samples from the high capacity are located in south of Sulaimani governorate, in the north and middle the capacity of wells have decreased. The classes (230 – 482m) of depth are the more area, while the classes (29 – 158G/s) of capacity are the almost area in the study.
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