子牙河平原粮食生产及其对地下水的影响研究

Food production and its impacts on groundwater in the Ziya River Plain

  • 摘要: 华北平原是我国重要的两熟制粮食高产区, 同时面临巨大的水资源和生态环境压力。为探明该区域粮食生产对生态环境的影响, 本研究以华北平原典型超采区和高产区——子牙河平原为例, 基于SWAT模型开展了区域粮食产量-水分消耗-氮淋溶耦合模拟, 利用实测资料(蒸散发、叶面积指数、产量等)对模型参数进行率定和验证, 并对1980—2022年该区域冬小麦-夏玉米种植区水氮循环和粮食产量进行分析。研究结果表明: 1) 利用率定和验证后的SWAT模型能较好地模拟区域水、氮、粮要素, 与实测值相比, 模型模拟的蒸散发和叶面积指数的决定系数和纳什效率系数均大于0.60; 冬小麦和夏玉米产量的模拟结果平均相对误差和归一化均方根误差均小于0.25, 一致性指数大于0.60; 2) 1980—2022年, 该区域共生产小麦和玉米5.3亿t, 消耗953.4亿m3地下水, 氮淋失493.7万t, 氮淋失年均强度为109.6 kg(N)/hm2。本研究结果可为区域农业生产和地下水量质管理决策提供科学依据, 对实现区域粮食生产-水资源保护-生态环境治理协同发展具有参考价值。

     

    Abstract: The North China Plain is one of the most important grain-producing regions in China, characterized by an intensive double-cropping system of winter wheat and summer maize, and plays a vital role in food security. However, long-term intensive agricultural production, combined with limited surface water availability, has led to severe groundwater overexploitation and increased pressure on the regional groundwater quality. Quantifying the environmental costs associated with grain production is essential for improving agricultural water management and promoting sustainable development in the North China Plain. In this study, the Ziya River Plain, a representative high-yield and groundwater-overexploited area in the North China Plain, was selected as the study area. The assessment of grain production, agricultural water consumption, and nitrogen leaching was conducted using the Soil and Water Assessment Tool (SWAT) model. The SWAT model was calibrated and validated using long-term observed data of key variables related to water, nitrogen, and crop growth, including evapotranspiration, leaf area index, crop yields of winter wheat and summer maize, and nitrate leaching. Based on the validated model, long-term simulation was performed to quantify water and nitrogen processes and grain yield dynamics from 1980 to 2022. Model performance evaluation results indicate that the SWAT model can effectively reproduce the regional water and nitrogen processes and crop growth dynamics. The coefficients of determination (R2) and Nash–Sutcliffe efficiency coefficients for simulated evapotranspiration and leaf area index were greater than 0.60. For winter wheat and summer maize yields, the mean relative error and normalized root-mean-square error were both less than 0.25, and the agreement index was higher than 0.60, demonstrating satisfactory model performance. Simulation results show that cumulative grain production in the Ziya River Plain reached 533.4 million t during the period 1980–2022. This high level of grain output was supported by a total groundwater consumption of 95.3 billion m3, indicating a strong dependence of regional agricultural production on groundwater resources. Meanwhile, total nitrogen leaching amounted to 4.9 million tons, with an average nitrogen leaching intensity of 109.6 kg(N)/hm2, reflecting substantial nitrogen losses to the subsurface environment under long-term intensive fertilization application. The results reveal pronounced trade-offs among grain production, groundwater depletion, and nitrogen leaching in the study area. Overall, this study provides a comprehensive, process-based assessment of the environmental costs of grain production in a typical groundwater-overexploited agricultural region of the North China Plain. The findings offer important implications for agricultural water management, particularly for optimizing irrigation and nitrogen management strategies, mitigating groundwater depletion and non-point source pollution, and supporting the coordinated achievement of food security, water security, and ecological environmental sustainability.

     

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