| PCA-APCS-MLR和地统计学的典型农田土壤重金属来源解析 |
| 摘要点击 1567 全文点击 464 投稿时间：2022-08-01 修订日期：2022-09-05 |
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| 中文关键词 重金属 源解析 APCS-MLR受体模型 地统计学 |
| 英文关键词 heavy metal source identification APCS-MLR receptor model geostatistics |
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| 中文摘要 |
| 人类活动往往会增加表层土壤重金属含量,进而影响了区域土壤重金属的精确定量与评估.为系统研究浙江省西部石煤矿山周边典型农田土壤重金属污染源的空间分布特征及其贡献率,采集并分析了耕地表层土壤样品和农产品中Cd、Hg、As、Cu、Zn和Ni等重金属,重点探讨各元素地球化学特征并对农产品进行生态风险评价.采用相关性分析、主成分分析(PCA)和绝对主成分得分-多元线性回归受体模型(APCS-MLR),解析了该地区土壤中重金属污染的来源和源贡献率,并采用地统计学分析法对土壤中Cd、As的空间分布特点进行了分析.结果表明,研究区内6种土壤重金属(Cd、Hg、As、Cu、Zn和Ni)含量都超过风险筛选值,其中Cd和As含量超过风险管制值,其超标率分别为36.11%和0.69%,而农产品中Cd也存在严重超标.通过分析认为研究区土壤重金属污染源主要有2个:源1(Cd、Cu、Zn和Ni)为矿业活动源和自然源,对Cd、Cu、Zn和Ni的贡献率分别为78.53%、84.41%、87%和89.13%;源2(Hg和As)以工业源为主,对Hg和As的贡献率分别为83.22%和82.41%.Cd为研究区污染风险最大的重金属,应采取措施降低污染风险.研究区北东部有一座富含Cd、Cu、Zn和Ni等元素的废弃石煤矿山,大气沉降、矿山废水汇入灌溉水和流入农田底泥是导致耕地这4种重金属污染的主要原因;此外,大气沉降物作为As和Hg的主要来源,与农业生产也有很大关系.上述研究可为农田生态环境管理精准施策提供技术支撑. |
| 英文摘要 |
| Human activities often increase the content of heavy metals in surface soils, thus affecting the precise quantification and evaluation of heavy metals in regional soils. In order to systematically study the spatial distribution characteristics and contribution rate of heavy metal pollution sources in typical farmland soil around stone coal mines in western Zhejiang Province, heavy metals such as Cd, Hg, As, Cu, Zn, and Ni in topsoil samples of arable land and agricultural products were collected and analyzed, with an emphasis on the geochemical characteristics of each element and ecological risk assessment of agricultural products. Correlation analysis, principal component analysis (PCA), and the absolute principal component score-multiple linear regression receptor model (APCS-MLR) were used to discuss the source and source contribution rate of soil heavy metal pollution in this area. Meanwhile, the spatial distribution characteristics of the contribution rate of Cd and As pollution sources of the soil in the study area were also expounded in detail by the geostatistical analysis method. The results showed that the contents of six heavy metal elements including Cd, Hg, As, Cu, Zn, and Ni in the study area all exceeded the risk screening value. Among them, two elements exceeded the risk control value, Cd and As, and the point-exceeding rates were 36.11% and 0.69%, respectively. The Cd in agricultural products was also seriously exceeded. According to the analysis, there were two main sources of heavy metal pollution in the soil in the study area. Source one (Cd, Cu, Zn, and Ni) was coming from mining activities and natural sources, and the contribution rates to Cd, Cu, Zn, and Ni were 78.53%, 84.41%, 87%, and 89.13%. Source two (Hg and As) was mainly an industrial source, and the contribution rates to As and Hg were 82.41% and 83.22%, respectively. Cd was the heavy metal with the greatest pollution risk in the study area, and measures should be taken to reduce the pollution risk. There was an abandoned stone coal mine rich in elements such as Cd, Cu, Zn, and Ni. Located in the northeastern part of the study area under the action of atmospheric deposition, the confluence of mine wastewater into irrigation water and farmland sediment was one of the important factors for forming the source of farmland pollution. The settled fly ash was the main pollution source of As and Hg, which was also closely related to agricultural production. The above research can provide technical support for the precise implementation of ecological and environmental management policies. |
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