| 南方平原灌区稻田涝水过程模拟 |
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| 引用本文： | 熊玉江,徐俊增,李亚龙,李江安,孙勇.南方平原灌区稻田涝水过程模拟[J].排灌机械工程学报,2018,36(8):725-731. |
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| 作者姓名： | 熊玉江 徐俊增 李亚龙 李江安 孙勇 |
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| 作者单位： | 1.长江水利委员会长江科学院农业水利研究所, 湖北 武汉 430015; 2.河海大学水利水电学院, 江苏 南京 210098; 3.高邮市水务局, 江苏 扬州 225600 |
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| 摘 要： | 基于高邮灌区典型区域降雨涝水过程监测,根据灌区特点对水箱模型进行改进,构建了适合于平原稻区稻田涝水过程模拟模型,采用自适应遗传算法对模型参数进行了率定,并对模型在水稻灌区的适应性进行评价.结果表明:稻田水箱模型对稻田涝水过程模拟具有较高精度.率定期,降雨径流模拟值与实测值均方根误差RMSE为0.17~0.28 mm/h,相关系数r大于0.95,模型纳什系数NSE为0.79~0.96.验证期,降雨径流模拟值与实测值之间均方根误差RMSE为0.06~0.29 mm/h,相关系数r超过0.88,模型模拟纳什系数NSE为0.73~0.93;对稻田蓄水深的模拟,均方根误差RMSE为15~20 mm,相关系数均大于0.95,纳什系数NSE为0.84~0.90.因此,改进的稻田水箱模型能够反映稻田的水循环过程,可为南方平原水稻灌区防洪除涝减灾对策的制定提供决策支持.
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| 关 键 词： | 平原灌区 稻田 涝灾 水箱模型 降雨径流 |
| 收稿时间： | 2018-03-28 |
Modeling waterlogging process of paddy field at flat irrigation district in South China |
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| XIONG Yujiang,XU Junzeng,LI Yalong,LI Jiang′an,SUN Yong.Modeling waterlogging process of paddy field at flat irrigation district in South China[J].Journal of Drainage and Irrigation Machinery Engineering,2018,36(8):725-731. |
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| Authors: | XIONG Yujiang XU Junzeng LI Yalong LI Jiang′an SUN Yong |
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| Institution: | 1. Agricultural Water Conservancy Department, Changjiang River Scientific Research Institute, Wuhan, Hubei 430015, China; 2.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, Jiangsu 210098, China; 3. Gaoyou Water Administration Bureau, Yangzhou, Jiangsu 225600, China |
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| Abstract: | A simulation model for the waterlogging process in paddy field at flat irrigation district was constructed based the on the tank model. The rain runoff processes were observed in the typical paddy fields at Gaoyou irrigation district, and the adaptive genetic algorithm method was used to verify the flexibility of the paddy tank model. It is found that the performance of the paddy tank model for waterlogging process simulation is well in both calibration and validation periods. For rain runoff from paddy field simulation, the root mean square error ranges from 0.17 to 0.28 mm/h, the correlation coefficient is more than 0.95,and the Nash coefficient varies from 0.79 to 0.96 at calibration period. While the root mean square error ranges from 0.06 to 0.29 mm/h, the correlation coefficient is more than 0.88, the Nash coefficient varies from 0.73 to 0.93 at the validation period. For storage depth in paddy fields, the root mean square error ranges from 15 to 20 mm, the correlation coefficient is more than 0.95, the Nash coefficient varies from 0.84 to 0.90. The results indicate that the proposed paddy tank model can provide an alternative and effective method for the waterlogging process simulation in flat irrigation district in South China. |
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| Keywords: | flat irrigation district paddy field waterlogging tank model rain runoff |
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