刘浩杰, 刘宏娟, 谭莉梅, 刘金铜. 近滨海盐碱地暗管排水条件下地下水埋深动态变化模拟[J]. 中国生态农业学报(中英文), 2012, 20(12): 1687-1692. DOI: 10.3724/SP.J.1011.2012.01687
引用本文: 刘浩杰, 刘宏娟, 谭莉梅, 刘金铜. 近滨海盐碱地暗管排水条件下地下水埋深动态变化模拟[J]. 中国生态农业学报(中英文), 2012, 20(12): 1687-1692. DOI: 10.3724/SP.J.1011.2012.01687
LIU Hao-Jie, LIU Hong-Juan, TAN Li-Mei, LIU Jin-Tong. Simulating the changes of water table depth in coastal saline land with agro-subsurface drainage system[J]. Chinese Journal of Eco-Agriculture, 2012, 20(12): 1687-1692. DOI: 10.3724/SP.J.1011.2012.01687
Citation: LIU Hao-Jie, LIU Hong-Juan, TAN Li-Mei, LIU Jin-Tong. Simulating the changes of water table depth in coastal saline land with agro-subsurface drainage system[J]. Chinese Journal of Eco-Agriculture, 2012, 20(12): 1687-1692. DOI: 10.3724/SP.J.1011.2012.01687

近滨海盐碱地暗管排水条件下地下水埋深动态变化模拟

Simulating the changes of water table depth in coastal saline land with agro-subsurface drainage system

  • 摘要: 农田暗管排水工程是近滨海地区盐碱地防御涝渍害、降低土壤盐分和促进作物生长的重要措施。本文应用DRAINMOD模型对河北沧州近滨海暗管排水排盐试验区(暗管埋深1.2 m, 间距30 m), 2011年6-9月的地下水埋深进行了模拟, 并对不同控制性排水方案(无强制排水, 地下水埋深控制在50 cm、80 cm和100 cm)下地下水埋深的变化进行了预测。模型所需参数(气象数据、作物数据、土壤参数和排水数据)由室内试验、田间试验和实地观测得到。研究结果表明: DRAINMOD在该地区的模拟值与观测值拟合较好, 效率系数为0.67, 相对误差系数为6.15%, 反映出模型良好的模拟性能; 农田暗管排水系统能明显降低涝渍害的发生, 即使发生强降水, 也能在2 d内将地下水埋深控制在60 cm以下, 而若无强制排水地下水埋深需在15 d后降至60 cm; 对不同排水方案模拟效果的比较表明, 试验区在夏季控制性排水中, 将地下水埋深控制在80 cm左右较为合适。综上, DRAINMOD模型可以很好地应用于地下水埋深变化的预测中。因此, 在未来的研究中, 近滨海盐碱区可以通过DRAINMOD模型模拟地下水埋深变化, 从而为农田排水系统的设计提供理论依据, 为暗管排水管理制度的建立提供科学的选择方法。

     

    Abstract: Agricultural subsurface drainage is an important measure for preventing waterlogging disaster, reducing soil salinity and promoting crop growth in coastal saline areas. This study was conducted in the coastal saline area of Cangzhou City, Hebei Province. The DRAINMOD model was used to simulate the changes of groundwater depths under subsurface drainage system (drain depth was 1.2 m deep and drain spacing 30 m) for the period from June to September of 2011. Groundwater depth changes under subsurface drainage system with different controlled drainage schemes were also predicted. The DRAINMOD model parameters included soil property data, climatological data, crop data and drainage system parameters. The parameters were collected either in laboratory or field observations. Based on the simulation results, the coefficient of efficiency of the model was 0.67, with a relative error of 6.15%, which showed that the DRAINMOD model simulation was reasonably favorable. The study showed that agro-subsurface drainage systems obviously reduced the occurrence of waterlogging. Water table depths were controlled to below 60 cm in 2 days by the subsurface drainage system. Also groundwater table depths were controlled to below 60 cm in 15 days in filed without subsurface drainage system. Four drainage schemes (natural drainage, controlling groundwater depth to 50 cm, 80 cm and 100 cm) were designed and the simulations indicated that it was appropriate to control water table depths to below 80 cm at low cost and no waterlogging. In conclusion, the DRAINMOD model proved to perform well for the hydrology of agro-surface drainage systems and was therefore a useful tool for designing drainage and water management systems. Thus the DRAINMOD model was as well usable in simulating future groundwater table depths in saline coastal areas. It then provided better solutions for subsurface drainage system optimization and water management selection.

     

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