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首页> 外文期刊>Human and ecological risk assessment >Groundwater quality evaluation using the water quality index (WQI), the synthetic pollution index (SPI), and geospatial tools: a case study of Sujawal district, Pakistan
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Groundwater quality evaluation using the water quality index (WQI), the synthetic pollution index (SPI), and geospatial tools: a case study of Sujawal district, Pakistan

机译：地下水质量评价采用水质指数（WQI），合成污染指数（SPI）和地理空间工具：巴基斯坦Sujawal区的案例研究

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Abstract Under changing climate scenario, groundwater aquifers in the coastal areas of Pakistan are under serious threat. Looking at the gravity of the problem, and concerns of the civil society, this study was conducted to evaluate and map the quality of groundwater in the Sujawal district, a coastal area of Pakistan based on the physicochemical analysis of 94 samples using two standard numerical models and geospatial techniques. The WQI model revealed that 2.13%, 6.38%, 55.32%, 22.34%, and 13.83% of water samples were excellent, good, poor, very poor, and unsuitable for drinking purposes. Also, the SPI model identified that 32%, 13.83%, 20.12%, 18.1%, and 15.95% of samples were slightly polluted, moderately polluted, highly polluted, suitable, and unsuitable. Though the model's input is different, the proportionate of ranking revealed a significant correlation (R2=0.78) between the outcomes of both models. Overall, the study revealed that groundwater in most of the areas does not meet WHO guidelines. The prevalence of water-related diseases in the area suggests that groundwater is contaminated and using that water is of high risk for human health. The study highlights the significance of using numerical models and geospatial techniques for water quality evaluation in the coastal areas of the world.
机译：摘要在不断变化的气候情景下，巴基斯坦沿海地区的地下水含水层受到严重威胁。看着问题的重力，以及民间社会的关切，这项研究是在使用两个标准数值模型的物理化学分析的基础上评估和映射Sujawal区地下水的质量，这是使用两个标准数值模型的94个样品的物理化学分析和地理空间技术。 WQI模型显示出2.13％，6.38％，55.32％，22.34％和13.83％的水样优异，良好，差，非常差，不适合饮用目的。此外，SPI模型确定了32％，13.83％，20.12％，18.1％和15.95％的样品略有污染，适度污染，受污染，合适，不合适。虽然模型的输入不同，但排名的比例显示了两种模型的结果之间的显着相关性（R2 = 0.78）。总体而言，该研究表明，大多数地区的地下水不符合世卫组织指导方针。该地区有与水有关疾病的患病率表明地下水被污染并使用该水具有高风险的人类健康风险。该研究突出了在世界沿海地区使用数值模型和地理空间技术对水质评估的重要性。

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