GIS在尼日利亚尼日尔三角洲叶纳戈阿流域地下水水质评价中的应用

Oboshenure Kingsley Karo, F. E. Egobueze, D. Egirani
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引用次数: 2

摘要

利用地理信息系统(GIS)对尼日利亚尼日尔三角洲地区叶纳戈阿流域部分地区地下水水质的空间变化进行了研究。了解造成地下水脆弱性的因素可以促进地理信息系统在地下水质量控制和管理中的应用。本研究的原因是由于GIS建模得到的YWS地下水水质空间分布图没有文献记录。地下水的质量决定着水源地居民的环境和人体健康状况。因此,从浅孔中获得的20个水样进行了物理化学性质分析。理化参数如pH、电导率、总溶解固形物、硫酸盐、硝酸盐、钠、氯化物、镁、总硬度和铁含量等均采用标准实验室程序测量。除铁含量外,理化分析结果均在世界卫生组织饮用水标准的限制范围内。利用GIS建模和解释将这些结果转化为空间分布图。指数叠加法和逆距离加权法构成了GIS建模的组成部分,用于生成每个物理化学参数的空间分布图。这些模拟结果与世界卫生组织(世卫组织)饮用水标准有关。由GIS建模生成的地图指出了适合抽取地下水的区域,而不是不适合抽取地下水的区域。综上所述,Yenagoa流域55%的钻孔受高铁影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of GIS in the Assessment of Groundwater Quality in the Yenagoa Watershed of the Niger Delta Region of Nigeria
The spatial variations in groundwater quality in parts of the Yenagoa watershed (YWS) in the Niger Delta Region of Nigeria has been investigated using Geographic Information System (GIS). An understanding of the factors responsible for groundwater vulnerability could facilitate the use of geographic information system in the control and management of groundwater quality. This study is due to the fact that the spatial distribution maps of groundwater quality in the YWS obtained by GIS modeling are not documented. The quality of groundwater accounts for the environmental and human health status of the residents in the YWS. Therefore, twenty (20) water samples obtained from shallow boreholes were analyzed for physicochemical properties. The physicochemical parameters such as pH, conductivity, total dissolved solids, sulphate, nitrate, sodium, chloride, magnesium, total hardness and iron contents were measured using standard laboratory procedure. Except for the iron content, the results obtained from the physicochemical analyses were within limits of the World Health Organization Standards for drinking water. These results were transformed into spatial distribution maps using GIS modeling and interpretation. The Index Overlay method and Inverse Distance weighted method form component parts of the GIS modeling used in the generation of the spatial distribution maps for each physicochemical parameter. These modeled results were related to the World Health Organization (WHO) Standard for drinking water. The maps generated from GIS modeling indicated zones that were suitable for groundwater extraction as opposed to zones unsuitable for groundwater extraction. In conclusion, 55% of the boreholes in the Yenagoa watershed were affected by high iron content.
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