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香溪河消落带土壤重金属的生态及健康风险评价及预测

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采集三峡库区香溪河消落带2020-2022年不同季节、不同高程的土壤样品,测定其中4种重金属元素(Cu、Pb、Cd、Cr)含量,进行生态及健康风险评价.地积累指数结果表明,Cd为研究区域主要污染元素,处于轻度污染等级,其他3种元素处于无污染等级.潜在生态风险指数结果表明,研究区域整体为轻度生态风险,但在27%的土壤样品中,Cd元素的潜在生态风险指数属于中强度风险.重金属健康风险结果表明,研究区域重金属的非致癌风险与致癌风险均处于可接受水平,儿童的致癌风险高于成人.使用支持向量机(SVM)模型对土壤重金属含量进行基于时间序列和季节变化的定量预测.结果表明:基于时间序列的模拟实验中,SVM对上层土中重金属元素含量的预测较为准确;基于季节变化的模拟实验中,SVM对上、下层土的重金属元素含量均能很好地拟合.
Ecological,Health Risk Assessment and Prediction of Heavy Metals in Soil of the Water Level Fluctuation Zone of the Xiangxi River
Soil samples from the Xiangxi River water-level-fluctuation zone of the Three Gorges Reservoir Area were collected in different seasons and at different elevations from 2020 to 2022.The concentration of four heavy metal elements(Cu,Pb,Cd,and Cr)were determined for ecological and health risk assessment.The results of the geo-accumulation index indicated that Cd was the main pollutant element in this area with the pollution level of mild.The other three heavy metal elements were classified as non-polluted.The results of the potential ecological risk index indicated that the overall ecological risk in the study area was mild,while the potential ecological risk index for elemental Cd was a medium-intensity risk in 27%of the soil samples.The results of heavy metal health risk assessment demonstrated that both non-carcinogenic and carcinogenic risks in study area were at acceptable levels,and the carcinogenic risks for children was higher than for adults.A support vector machine(SVM)model was used to quantitative predict the concentration of soil heavy metal based on time series and seasonal factors.In time series-based simulations,SVM provided accurate predictions of the concentration of heavy metal in the upper soil layer.In simulations based on seasonal variations,SVM fitted well for the concentration of heavy metal in both the upper and lower soil layers.

the Three Gorges Reservoir Areasupport vector machinewater level fluctuation zoneheavy metalprediction

张家璇、鄢文苗、毛祥虎、靳专、胥焘、熊彪

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三峡大学湖北省农田环境监测工程技术研究中心,湖北宜昌 443002

三峡大学三峡库区生态环境教育部工程研究中心,湖北宜昌 443002

三峡大学计算机与信息学院,湖北宜昌 443002

三峡大学生物与制药学院,湖北宜昌 443002

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三峡库区 支持向量机 消落带 重金属 预测

国家自然科学基金国家自然科学基金国家重金属污染防治工程技术研究中心开放研究基金

2213600342177397ZJSGCZX2023002

2024

武汉大学学报(理学版)
武汉大学

武汉大学学报(理学版)

CSTPCD北大核心
影响因子:0.814
ISSN:1671-8836
年,卷(期):2024.70(1)
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