The STICS model to predict nitrate leaching following agricultural practices

Agronomie Pub Date : 2004-09-01 DOI:10.1051/AGRO:2004039
Nathalie, SCHNEBELENa, Bernard, NICOULLAUDc, Hocine, BOURENNANEc, Alain, COUTURIERc, VERBEQUEd, Christian, REVALIERd, Ary, BRUANDe
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引用次数: 44

Abstract

The aim of this paper was to develop an upscaling approach for the soil-crop model STICS in order to predict the impact of agricultural practices on nitrate leaching on both plot and regional scales. A case study was carried out on a "Nitrate Vulnerable Zone" located in central France. The performance of the spatial approach was evaluated by accounting for all the spatial and temporal variability existing within the studied area. The results indicate that N leaching and nitrate concentration in drainage water were slightly underestimated; by 3 kg N·ha-1 (16%) and 8 mg NO3-·L-1 (11%), respectively. The STICS scaling approach was used to assess the effectiveness of "Good Agricultural Practice" established within the area over a seven-year period. The simulation results provided evidence that such a practice had reduced the nitrate concentration by about 30% (36 mg NO3-·L-1). However, the rate of nitrate leaching remains too large and further improvements to agricultural practices are required.
农业生产过程中硝酸盐淋失的预测模型
本文的目的是为土壤作物模型发展一种升级方法,以便在地块和区域尺度上预测农业实践对硝酸盐淋失的影响。对位于法国中部的“硝酸盐脆弱区”进行了案例研究。通过考虑研究区域内存在的所有时空变异性,对空间方法的性能进行了评估。结果表明:排水中N淋溶和硝态氮浓度被略微低估;分别添加3 kg N·ha-1(16%)和8 mg NO3-·L-1(11%)。在七年的时间里,使用了STICS的尺度方法来评估该地区建立的“良好农业规范”的有效性。模拟结果表明,这种做法使硝酸盐浓度降低了约30% (36 mg NO3-·L-1)。然而,硝酸盐的浸出率仍然太大,需要进一步改进农业实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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