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Application of geostatistics with Indicator Kriging for analyzing spatial variability of groundwater arsenic concentrations in Southwest Bangladesh

机译:地统计学结合指标克里格法在孟加拉西南部地下水砷浓度空间变异性分析中的应用

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摘要

This article seeks to explore the spatial variability of groundwater arsenic (As) concentrations in Southwestern Bangladesh. Facts about spatial pattern of As are important to understand the complex processes of As concentrations and its spatial predictions in the unsampled areas of the study site. The relevant As data for this study were collected from Southwest Bangladesh and were analyzed with Flow Injection Hydride Generation Atomic Absorption Spectrometry (FI-HG-AAS). A geostatistical analysis with Indicator Kriging (IK) was employed to investigate the regionalized variation of As concentration. The IK prediction map shows a highly uneven spatial pattern of arsenic concentrations. The safe zones are mainly concentrated in the north, central and south part of the study area in a scattered manner, while the contamination zones are found to be concentrated in the west and northeast parts of the study area. The southwest part of the study area is contaminated with a highly irregular pattern. A Generalized Linear Model (GLM) was also used to investigate the relationship between As concentrations and aquifer depths. A negligible negative correlation between aquifer depth and arsenic concentrations was found in the study area. The fitted value with 95 % confidence interval shows a decreasing tendency of arsenic concentrations with the increase of aquifer depth. The adjusted mean smoothed lowess curve with a bandwidth of 0.8 shows an increasing trend of arsenic concentration up to a depth of 75 m, with some erratic fluctuations and regional variations at the depth between 30 m and 60 m. The borehole lithology was considered to analyze and map the pattern of As variability with aquifer depths. The study has performed an investigation of spatial pattern and variation of As concentrations.
机译:本文旨在探索孟加拉国西南部地区地下水砷(As)浓度的空间变异性。关于砷空间模式的事实对于了解研究地点未采样区域中砷浓度的复杂过程及其空间预测非常重要。本研究的相关As数据是从孟加拉国西南部收集的,并用流动注射氢化物发生原子吸收光谱法(FI-HG-AAS)进行了分析。采用指示克里格法(IK)进行地统计分析,以研究砷浓度的区域变化。 IK预测图显示了砷浓度高度不均匀的空间格局。安全区主要分散在研究区的北部,中部和南部,而污染区则集中在研究区的西部和东北部。研究区域的西南部被高度不规则的图案污染。还使用广义线性模型(GLM)来研究砷浓度与含水层深度之间的关系。在研究区域发现含水层深度与砷浓度之间的负相关性可以忽略。置信区间为95%的拟合值表明,随着含水层深度的增加,砷浓度呈下降趋势。带宽为0.8的调整后的平均平滑Lowess曲线显示,砷浓度直至75 m的深度都有增加的趋势,在30 m至60 m的深度存在一些不稳定的波动和区域变化。考虑了钻孔岩性,以分析和绘制随含水层深度的As变异性模式。该研究已经进行了空间模式和砷浓度变化的调查。

著录项

  • 来源
    《Journal of Environmental Science and Health》 |2011年第11期|p.1185-1196|共12页
  • 作者单位

    Department of Geography and Environment, Jahangirnagar University, Savar Dhaka 1342, Bangladesh;

    Department of Geography, Durham University, Durham, United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    arsenic; geostatistics; GLM; indicator kriging; bangladesh;

    机译:砷;地统计学GLM;指示器克里金孟加拉国;
  • 入库时间 2022-08-17 13:36:38

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