晋中盆地典型农田土壤硝态氮的空间分异及影响机制

Spatial Variation and Influencing Mechanisms of Nitrate Nitrogen in Typical Farmland Soil in the Jinzhong Basin

  • 摘要:
    目的 厘清硝态氮在土壤剖面中的累积特征,明确其向深层迁移的控制机制,为提高氮素利用效率以及控制氮素盈余导致的环境污染提供依据。
    方法 在晋中盆地选取典型农田作为研究对象,通过网格布点确定采样点,对每个采样点采集0 ~ 20 cm、20 ~ 40 cm、40 ~ 60 cm、60 ~ 80 cm、80 ~ 100 cm、100 ~ 150 cm和150 ~ 200 cm七层土壤样品,在实验室测定硝态氮、铵态氮、有机质、含水率等指标,系统分析了硝态氮含量垂向空间分布特征,使用地统计学方法刻画了不同土层硝态氮浓度的空间分异格局,分别以0 ~ 100 cm和100 ~ 200 cm土层硝态氮浓度为响应变量,分层构建结构方程模型(SEM),定量分析施肥强度、土壤水分、铵态氮、有机质等因子对硝态氮累积与迁移的直接与间接作用路径。
    结果 ①在土壤垂向分布中,硝态氮浓度呈现出随深度增加显著递减的垂向分布特征,表层浓度最高,中层波动下降,深层低值稳定,且果园深层积累更高。②地统计学结果表明,表层硝态表现出较强的空间异质性,40 ~ 150 cm土层硝态氮空间分布相对平缓,局部区域仍存在富集风险,150 ~ 200 cm深层部分区域显现累积风险,主要出现在果园区域。③分层SEM结果表明,浅层硝态氮累积主要受施肥强度和铵态氮转化过程控制,深层硝态氮迁移更多受铵态氮转化过程和0 ~ 100 cm硝态氮迁移的直接影响。
    结论 晋中盆地农田硝态氮在不同土层中的分布特征与迁移机制不同,表层土壤为硝态氮的主要累积区,而深层土壤虽然存在硝态氮迁移,但浓度较低,呈现平缓分布。硝态氮的空间分布与作物类型高度相关,上层土壤(0 ~ 100 cm)硝态氮主要受到施肥强度和铵态氮转化影响,下层土壤(100 ~ 200 cm)的硝态氮积累则主要是铵态氮转化和硝态氮垂向传输过程的共同作用结果,研究结果可为晋中盆地农田氮肥管理及地下水污染防控提供科学依据。

     

    Abstract:
    Objective The aims were to clarify the accumulation characteristics of nitrate nitrogen (N) in the soil profile, and determine the control mechanism of its migration to deeper layers, so as to provide a basis for improving N utilization efficiency and controlling environmental pollution caused by excessive N.
    Method Typical farmland in Jinzhong Basin was selected as the research object, and the sampling sites were determined by grid distribution. Soil samples were collected from seven layers at each sampling site: 0 - 20, 20 - 40, 40 - 60, 60 - 80, 80 - 100, 100 - 150, and 150 - 200 cm. Nitrate nitrogen, ammonium nitrogen, organic matter, and soil water content were measured in the laboratory. The vertical spatial distribution characteristics of nitrate N content were systematically analyzed. At the same time, the spatial differentiation pattern of nitrate N concentration in different soil layers was characterized by geostatistical methods, and the nitrate N concentration in 0 - 100 cm and 100 - 200 cm soil layers were used as response variables to construct structural equation models (SEM) in different layers. The direct and indirect effects of fertilization intensity, soil moisture, ammonium N and organic matter on nitrate N accumulation and migration were analyzed quantitatively.
    Result ① In the vertical distribution of the soil, the nitrate N concentration showed a significant decrease with depth, meanwhile, the highest concentration was in the surface layer, fluctuating and decreasing in the middle layer, and remaining at a low value in the deep layer. ② The results of geostatistics indicated that the surface nitrate N showed strong spatial heterogeneity. The spatial distribution of nitrate N in the soil layer of 40 - 150 cm was relatively flat, but there was still accumulation risk in some areas of the depth of 150 - 200 cm, and the accumulation risk mainly occurred in the orchard area. ③ Stratified SEM results showed that nitrate N accumulation in shallow layer was mainly controlled by fertilization intensity and ammonium transformation process, while nitrate N migration in deep layer was more directly affected by ammonium transformation process and 0 - 100 cm nitrate N migration.
    Conclusion The distribution characteristics and migration mechanisms of nitrate N in farmland in the Jinzhong Basin were different in different soil layers. The surface soil was the main accumulation area of nitrate N, while although there was nitrate N migration in the deep soil, the concentration was relatively low and showed a gentle distribution. The spatial distribution of nitrate N was highly correlated with the type of crop. The nitrate N in the upper soil layer (0 - 100 cm) was mainly affected by the intensity of fertilization and the transformation of ammonium N. The accumulation of nitrate N in the lower soil layer (100 - 200 cm) was mainly the combined result of the transformation of ammonium N and the vertical transport process of nitrate N. The research results could provide a scientific basis for the rational management of N in farmland and the prevention and control of groundwater pollution in the Jinzhong Basin.

     

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