文章摘要
薛长亮,张克强,张国印,杨德光,宋帅,王风.应用RZWQM模型模拟华北玉米土壤剖面水氮迁移及淋溶特征[J].农业环境科学学报,2014,33(11):2179-2186.
应用RZWQM模型模拟华北玉米土壤剖面水氮迁移及淋溶特征
Simulating Migration and Leaching of Water and Nitrogen in Maize Soil Profile in North China Plain with RZWQM Model
投稿时间:2014-06-15  
DOI:10.11654/jaes.2014.11.016
中文关键词: RZWQM模型  玉米  氮素淋溶  华北地区  施肥量
英文关键词: RZWQM model  maize  nitrogen leaching  North China Plain  fertilizer
基金项目:公益性行业(环保)科技项目(201309035-1);“十二五”国家科技支撑计划课题 (2012BAD15B02)
作者单位E-mail
薛长亮 农业部环境保护科研监测所, 天津 300191
东北农业大学农学院, 哈尔滨 150030 
 
张克强 农业部环境保护科研监测所, 天津 300191  
张国印 河北省农林科学院农业资源环境研究所, 石家庄 050051  
杨德光 东北农业大学农学院, 哈尔滨 150030 deguangyang@sina.com 
宋帅 中国科学院生态环境研究中心, 北京 100085  
王风 农业部环境保护科研监测所, 天津 300191 wangfeng_530@163.com 
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中文摘要:
      以河北石家庄大河实验站玉米-小麦轮作系统为研究对象,应用RZWQM模型对玉米季土壤剖面水分和硝态氮含量、硝态氮淋溶和氨挥发特征以及作物产量进行模拟,提出控制硝态氮淋溶的玉米施肥方案。设置冬小麦-夏玉米轮作周期施氮量分别为575、400、215、0 kg·hm-2 4个处理,应用轮作周期施氮量为575 kg·hm-2处理玉米季土壤剖面含水量、硝态氮和产量数据进行模型参数率定,应用其他3个施肥处理进行模型参数的验证。结果表明:率定与验证过程中土壤剖面含水量均方根误差方差分别为0.003 6、0.010 6 cm3·cm-3,4个处理土壤剖面硝态氮RMSE分别为6.56、7.30、3.64、1.53 mg·kg-1。在模型参数率定和验证的基础上,开展了RZWQM模型对轮作制度下玉米季土壤硝态氮淋溶和氮挥发的预测,虽然预测结果与实际值存在偏差,但在总体上RZWQM模型可以较好地模拟华北石家庄地区土壤剖面水氮的迁移转化,并且可为日后进一步准确预测和估算更大地区的土壤硝态氮淋溶提供一种便捷可靠的方法。
英文摘要:
      This study simulated the relationship between soil nitrogen leaching and crop yield in North China Plain using Root Zone Water Quality Model(RZWQM), and the feasibility of model to optimize fertilization was also explored. A rotation trial of winter wheat-summer maize was conducted on Dahe experiment station in Shijiazhuang, Hebei. Four nitrogen treatments were used, including 575 kg·hm-2(N3), 400 kg·hm-2(N2), 215 kg·hm-2(N1), and 0 kg·hm-2(N0). Water contents and nitrogen concentrations in different layers of soil profile from the N3 treatment were used for model calibration, and the data obtained from three other treatments were used for model validation. The calibration and validation results showed the Root Mean Square Error(RMSE) of water contents in soil profile were 0.003 6 cm3·cm-3 and 0.010 6 cm3·cm-3, and nitrate RMSEs of N3, N2, N1 and N0 treatments were 6.56 mg·kg-1, 7.30 mg·kg-1, 3.64 mg·kg-1 and 1.53 mg·kg-1, respectively. We further predicted the dynamics of nitrate leaching and ammonia volatilization during summer maize using the model parameters. The results revealed that the amount of nitrate leaching and ammonia volatilization reduced significantly as the quantity of nitrogen fertilizer was decreased during the cultivation, and that this model is an efficient tool to predict nitrate leaching in soil profile during crop cultivation in North China Plain even though there was slight deviation in prediction.
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