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首页> 外文期刊>Physics and chemistry of the earth >Spatial modelling of groundwater quality across a land use and land cover gradient in Limpopo Province, South Africa
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Spatial modelling of groundwater quality across a land use and land cover gradient in Limpopo Province, South Africa

机译:南非湖北省土地利用与土地覆盖梯度地下水质量的空间建模

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The spatial variability of groundwater quality in rural Mokopane District is investigated. This was achieved by evaluating the variability in groundwater physio-chemical parameters in relation to Land Use and Land Cover (LULC)using Kriging geo-statistical technique and key groundwater physio-chemical parameters namely; ammonia, lead, Total Dissolved Solids (TDS), nitrates and chloride. Firstly, we derived the LULC from 30-m Landsat 8-OLI satellite data, with an overall accuracy of 76.67%. Water quality parameters were modelled in geographic information systems using the kriging interpolation technique. We then compared measured water quality and the drinking standards recommended by the South African Water Quality Standards (SAWS) and the World Health Organization (WHO) guideline standards for drinking water. Results indicated that there were significant differences (p < 0.05) in the levels of physio-chemical contents between borehole water and standard values according to the SAWS and WHO. For example, TDS in Mosesetjane exceeded both SAWS and WHO drinking water levels. Nitrate concentrations were also high on the first and second quarter with concentration levels of 5.56-29 mg/l and 30.9 mg/l in Mosesetjane, respectively. However, lead and ammonia were found to be evenly distributed in all the four quarters, but exhibited some slight deviations from the standard levels (+/- 4.7 mg/l) in selected quarters. Results also indicated significant differences in TDS, chloride and nitrate concentrations across different LULC types. Subsistence farming and built-up areas were the main LULC types that were found to have high concentrations of TDS, ammonia and nitrates, exceeding the recommended standards. However, lead and ammonia, did not differ significantly (p > 0.05) and these parameters were fairly distributed, with less spatial variability. The second quarter, extending between October and December, and the fourth quarter, extending from April to June, exhibited high concentrations of nitrates, chloride and TDS during the wet season. On the other hand, the first and third quarter of the dry period were associated with low concentrations. This study indicated that LULC types and seasonal variability have influence on specific groundwater quality parameters.
机译:调查了农村野外南部地下水质量的空间变异。这是通过使用Kriging地理统计技术和关键地下水理物理参数的土地利用和陆地覆盖(LULC)的地下水生理学参数的可变性来实现这一实现。氨,铅,总溶解固体(TDS),硝酸盐和氯化物。首先,我们从30米Landsat 8-Oli卫星数据中获得了LULC,整体准确性为76.67%。使用Kriging插值技术在地理信息系统中建模水质参数。然后,我们将测量的水质和南非水质标准(SAWS)和世界卫生组织(WHO)饮用水准则标准的饮用标准进行了比较。结果表明,根据锯和世卫组织的钻孔水和标准值之间的物理化学含量水平存在显着差异(P <0.05)。例如,Mosesetjane中的TDS超过了锯和饮用水水平的锯。硝酸盐浓度在第一和第二季度也高,浓度水平为5.56-29mg / L和30.9mg / L和30.9mg / L的MESETJANE。然而,发现铅和氨在所有四个季度中均匀分布,但在选定的宿舍中表现出与标准水平(+/- 4.7mg / L)的一些轻微偏差。结果还表明不同LULC类型的TDS,氯化物和硝酸盐浓度的显着差异。生存农业和建筑区域是发现具有高浓度的TDS,氨和硝酸盐的主要LULC类型,超过推荐标准。然而,铅和氨,没有显着差异(p> 0.05),这些参数相当分布,空间变异较小。第二季度,10月和12月在4月至6月延伸的第二季度,在潮湿的季节展出了高浓度的硝酸盐,氯化物和TDS。另一方面,干燥期的第一和第三季度与低浓度相关。本研究表明,LULC类型和季节变异性对特定地下水质量参数有影响。

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