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.

中文翻译：

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大峡河流域流域土壤重金属的生态风险评价

流域的生态风险受到环境，气候和人类活动的影响。本研究以西北地区的大峡河流域为研究区域。利用遥感数据，归一化植被指数（NDVI）和环境因子构建了流域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的不同，流域的不同地区具有不同的生态风险等级。NDVI与重金属含量，沉淀和温度之间存在多元线性关系，在显着性水平P <0.01时，相关系数（r）为0.866。平均重金属含量与健康风险指数之间存在非线性关系。在P <0.01时，模型相关系数等于0.893。研究结果进一步表明，可以利用遥感信息和环境气象因素对流域进行风险评估。这也表明建立植被有助于抑制土壤中重金属的迁移。