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Sensitivity analysis and field testing of the RISK-N model in the Central Valley of Chile.

机译:智利中部山谷RISK-N模型的敏感性分析和现场测试。

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We present the results from a sensitivity analysis and a preliminary short-term, site-scale performance assessment of the analytical soil and groundwater nitrate transport RISK-N. The study was carried out in the Central Valley of Chile, on a 2.6 ha corn (Zea mays L.) field underlain by a shallow unconfined aquifer during the cropping season 2000-2001. Nitrogen levels in soils as well as NO3--N irrigation water and groundwater concentrations were monitored through the crop-growing period, the latter by a network of 16 monitoring wells. A sensitivity analysis shows that both the nitrate flux from the vadose zone and NO3--N groundwater concentration are mainly influenced by the initial soil nitrogen levels, water input, and soil porosity. Also, simulated groundwater NO3--N levels are sensitive to changes on the saturated zone denitrification constant. An additional analysis further reveals the significance of the latter parameter, in conjunction with the amount of applied nitrogen fertilizer. We obtained a good agreement between observed average and simulated values. While the model performs well when spatially averaged values are used (root mean square error, RMSE=1.4 mg l-1 of NO3--N), the prediction error increases (RMSE=1.9 mg l-1 of NO3--N) when the concentration in each well is considered. This fact could be explained by the time and space scale of the experiment and the characteristics of the RISK-N model. The model is easy to use and seems appropriate for mid- and long-term studies of nitrogen contamination in groundwater for agricultural conditions in the Central Valley of Chile and under limited field data availability conditions. However, it needs to be tested for longer periods and under different climatic conditions, soil types, and aquifer characteristics, before its range of applicability can be fully established and recognized..
机译:我们介绍了分析土壤和地下水硝酸盐运输RISK-N的敏感性分析和初步的短期现场规模评估的结果。该研究在智利中部山谷的2000-2001种植季节的一个2.6公顷玉米(Zea mays L.)田地上进行了研究,该田地被浅层无限制含水层所覆盖。在作物生长期间,对土壤中的氮水平以及NO3--N灌溉水和地下水浓度进行监测,后者通过16口监测井的网络进行监测。敏感性分析表明,渗流带中的硝酸盐通量和NO3--N地下水浓度都主要受初始土壤氮水平,水输入和土壤孔隙度的影响。同样,模拟的地下水NO3--N水平对饱和区反硝化常数的变化很敏感。进一步的分析进一步揭示了后一参数的重要性以及氮肥的施用量。我们在观察到的平均值和模拟值之间获得了很好的一致性。虽然使用空间平均值时模型表现良好(均方根误差,RMSE = 1.4 mg l-1的NO3--N),但预测误差却增加了(RMSE = 1.9 mg l-1的NO3--N)。考虑每个孔中的浓度。这个事实可以通过实验的时间和空间规模以及RISK-N模型的特征来解释。该模型易于使用,似乎适用于智利中部山谷农业条件和有限的现场数据可用性条件下地下水中氮污染的中长期研究。但是,在充分确定其适用范围之前,需要对它进行较长时间的测试,并在不同的气候条件,土壤类型和含水层特征下进行测试。

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