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Evaluation of ecological risk of heavy metals in watershed soils in the Daxia River Basin

机译:达西亚河流域水域重金属生态风险评价

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Watershed ecological risk is affected by the environment, climate, and human activity. In this study, the Daxia River Basin in northwestern China was regarded as the research area. The remote heavy metal ecological risk assessment model of the basin was constructed using remote sensing data, normalized difference vegetation index (NDVI), and environmental factors. The results show that different areas of the basin have different ecological risk levels depending on the geographical location and the level of human activity. A multivariate linear relationship exists between the NDVI and heavy metal content, precipitation, and temperature, and a correlation coefficient (r) of 0.866 was derived at a significance level of P 0.01. There was a nonlinear relationship between the average heavy metal content and the Health Risk Index. The model correlation coefficient equals 0.893 at P 0.01. The results of the study further demonstrate that risk assessment of the basin can be carried out using remote sensing information and environmental meteorological factors. It also reveals that establishing vegetation helps inhibit the migration of heavy metals in the soil.
机译:流域的生态风险受到环境,气候和人类活动的影响。在这项研究中,中国西北部的达西亚河流域被视为研究领域。使用遥感数据,归一化差异植被指数(NDVI)和环境因素构建盆地的远程重金属生态风险评估模型。结果表明,根据地理位置和人类活动水平,盆地的不同区域具有不同的生态风险水平。在NDVI和重金属含量,沉淀和温度之间存在多变量线性关系,并且在P <0.01的显着性水平下衍生0.866的相关系数(R)。平均重金属含量与健康风险指数之间存在非线性关系。模型相关系数等于0.893,P <0.01。该研究的结果进一步证明盆地的风险评估可以使用遥感信息和环境气象因素进行。它还揭示了建立植被有助于抑制土壤中重金属的迁移。

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