废弃钨矿区重金属污染对周边稻田土壤肥力的影响研究

Impact of Heavy Metal Pollution on Soil Fertility of Paddy Fields around an Abandoned Tungsten Mining Area

  • 摘要: 矿区采矿活动引起的土壤重金属污染不仅威胁农田生态系统的健康与可持续利用, 还可能通过食物链危害人体健康; 而土壤肥力作为土壤生态功能的核心, 其受重金属污染的影响机制尚待阐明。本文以江西某废弃钨矿周边的水稻田为研究对象, 采集了26个点位土壤样品, 分析了土壤重金属含量(镉、铜、砷、铅、铬、汞、锌、镍)、土壤理化性质(pH值, 有机质、全氮、全磷、全钾、水解氮、有效磷、速效钾、黏粒含量, 阳离子交换量)与微生物性质(脲酶、蔗糖酶、酸性磷酸酶活性, 微生物生物量碳, 微生物熵), 采用内梅罗综合污染指数和土壤肥力综合指数分别评价土壤重金属污染特征和土壤肥力质量水平, 并运用结构方程模型解析重金属污染对土壤肥力水平及作物产量的影响机制。结果表明, 该矿区周边农田土壤重金属总体处于中轻度污染水平, 镉、铜、砷的点位超标率分别为88.46%、57.69%、7.69%, 是主要污染元素; 以水为介质的采矿活动及农业灌溉是农田土壤重金属污染的主要原因。相关性分析显示, 内梅罗综合污染指数与土壤养分(有机质、全氮、水解氮、速效钾)、黏粒含量和微生物性质(蔗糖酶、酸性磷酸酶活性, 微生物生物量碳, 微生物熵)均呈显著负相关(相关系数为-0.55~-0.39, P < 0.05);同时, 内梅罗综合污染指数还与土壤肥力综合指数呈显著负相关(相关系数为-0.54, P < 0.05)。结构方程模型分析结果(χ2/df=1.01, GFI=0.94, RMSEA=0.02)表明, 重金属污染既可以通过降低土壤养分含量直接影响土壤肥力水平, 也可以通过以下2种途径间接降低土壤肥力: 一是减少土壤黏粒含量、破坏团粒结构, 二是抑制微生物生物量合成与酶活性, 进而降低作物产量。建议采用以"生物炭-腐殖酸-微生物"为核心的内源修复技术, 施加生物炭-腐殖酸复合制剂, 接种耐重金属功能微生物菌剂, 既降低重金属有效性, 还能增加土壤有机质(碳)固存, 改善土壤结构和恢复微生物代谢功能, 并辅以"截流-缓冲"为主的外源阻控措施, 可协同实现矿区周边农田重金属污染治理与地力提升的目标。本研究阐明了重金属污染对农田土壤肥力水平的关键影响机制, 为矿区重金属污染农田的生态修复和可持续利用提供了数据支撑和科学参考。

     

    Abstract: Soil heavy metal contamination caused by mining activities threatens the health and sustainable use of farmland ecosystems, and may also endanger human health through food chain. Soil fertility, a core component of soil ecological functioning, may be impaired by heavy metal contamination, yet the underlying mechanisms remain unclear. In this study, red soil paddy fields around an abandoned tungsten mine in Jiangxi Province were taken as the research object, and soil samples were collected from 26 sites. The soil heavy metal content (cadmium, copper, arsenic, lead, chromium, mercury, zinc, nickel), soil physicochemical properties (pH, organic matter, total nitrogen, total phosphorus, total potassium, alkali-hydrolyzable nitrogen, available phosphorus, available potassium, clay content, cation exchange capacity) and microbial properties (urease, sucrase, acid phosphatase, microbial biomass carbon, microbial entropy) were analyzed. The Nemerow comprehensive index and soil fertility comprehensive index were used to evaluate the characteristics of soil heavy metal pollution and soil fertility quality level, respectively. The structural equation model was used to analyze the effects of heavy metal pollution on soil fertility level and crop yield. The results show that the heavy metal pollution in farmland soil in the study area was generally at a moderate to light pollution level, with exceedance rates of 88.46%, 57.69%, and 7.69% for Cd, Cu, and As, respectively, which were the main pollutants. Mining-related transport through water and agricultural irrigation were identified as the main causes of heavy metal pollution in farmland soil. Correlation analysis show that the Nemerow comprehensive pollution index was significantly negatively correlated (correlation coefficients ranging from -0.55 to -0.39, P < 0.05) with soil nutrients (organic matter, total nitrogen, alkali-hydrolyzable nitrogen, available potassium), clay content and microbial properties (sucrase, acid phosphatase, microbial biomass carbon, microbial entropy); at the same time, the Nemerow comprehensive pollution index was also significantly negatively correlated (a correlation coefficient of -0.54, P < 0.05) with the comprehensive soil fertility index. At the same time, heavy metal pollution also significantly reduced the comprehensive soil fertility index. The results of the structural equation model (χ2/df=1.01, GFI=0.94, RMSEA=0.02) show that heavy metal pollution could directly affect the soil fertility level by reducing soil nutrient content, and also could indirectly lower soil fertility by reducing soil clay content and destroying aggregate structure, and by reducing microbial biomass and enzyme activities, thereby reducing crop yields. It is recommended to implement an in situ remediation strategy centered on "biochar-humic acid-microorganisms", by applying biochar-humic acid compound preparations, and applying heavy metal-tolerant functional microbial inoculants and other measures, which can not only reduce the availability of heavy metals, but also increase soil organic matter (carbon) sequestration, improve soil structure and restore microbial metabolic functions. In addition, combined with exogenous control measures mainly based on "interception-buffering", the goal of heavy metal pollution control and soil fertility improvement in farmlands around mining areas can be achieved in a coordinated manner. The study elucidates the key impact mechanisms of heavy metal pollution on the fertility level of farmland soil, and provides data support and scientific reference for the ecological restoration and sustainable utilization of farmland contaminated by heavy metals in mining areas.

     

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