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Mathematical models for irrigation and nutrient management practices to improve nitrate pollution control

机译:用于改善硝酸盐污染控制的灌溉和养分管理实践的数学模型

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Soil and groundwater pollution with nitrates is a major environmental concern in Romania as well as in all countries with intensive and irrigated agriculture. Methods of fertilizer application, timing, relation of nitrogen to other nutrients, cropping systems and water management influence nitrates leaching. The best solution to avoid groundwater pollution is to limit nitrogen fertilizer application to the amount likely to be used by crop, but an accurate nitrogen balance is difficult to determine. We propose here measures to reduce the loading of groundwater by nitrate. Using two coupled mathematical models, several irrigation and fertilizer management scenarios were simulated, on two years meteorological data, to investigate the effects of lumped and split fertilization schedules, for a representative set of crop and irrigation conditions. The model we propose here describes mathematically the biochemical reactions among different compounds of nitrogen in a soil-water-plant system. For a Romanian region, knowing the soil properties, meteorological data, crop type, evaporation, and the fertilizer concentration we, mathematically demonstrate that split fertilizer application reduce the amount of nitrates leaching toward the groundwater.
机译:土壤及地下水污染与硝酸盐是罗马尼亚以及与集约化和灌溉农业的所有国家的重大环境问题。施肥,定时,氮相对于其它营养物,种植制度和水管理影响硝酸盐浸出的方法。为了避免地下水污染的最佳解决方案是限制氮施肥到可能被作物使用量,但准确的氮平衡难以确定。我们在这里提出的措施,硝酸盐减少地下水的加载。使用两个耦合的数学模型,几个水肥管理方案进行了模拟,对2年气象资料,研究集总,分裂施肥进度的影响,对一组有代表性的作物和灌溉条件。我们在这里提出了该模型描述了数学在土壤 - 水 - 植物系统中氮素的不同化合物中的生化反应。对于罗马尼亚区域,知道土壤性质,气象数据,作物类型,蒸发和肥料浓度我们,在数学上证明,分裂施肥降低硝酸盐向地下水浸出量。

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