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Assessing impacts of alternative land use and agricultural practices on nitrate pollution at the catchment scale

机译:在集水区评估替代土地利用和农业实践对硝酸盐污染的影响

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The SWAT model was used to model the impacts of climate, soils and agricultural practices on nitrate flows in a 1310km~2 catchment in western France. Spatialized data were used for natural features (climate, soil, topography), while agricultural activities, finely represented by crop sequences over 3years, and their associated cultural practices were mapped by remote sensing. The model was calibrated and validated for discharge and nitrate flows at a gauging station. Results are analyzed with respect to leaching for each crop sequence and for each soil type, as nitrate leaching is highly sensitive to the soil and the crop sequence. The lowest risks were found in clayey soils and the highest in sandy soils and/or in sequences including maize. In collaboration with local stakeholders, five scenarios of alternative practices were simulated to evaluate their consequences for nitrogen flows: reduced fertilization, catch crops, shallow cultivation, no-till with catch crops and filter strips. The impacts of the conversion of a pasture into wheat and rapeseed were also assessed. At the catchment gauging station, our 9-year simulations showed a reduction in nitrate flow of 8% with filters strips, 11% with catch crops, 12% with no-till with catch crops, and 15% with reduced fertilization. Shallow cultivation had no impact on nitrate flow. Inversely, the conversion of temporary pastures, which accounts for 32% of the catchment area, to cereals and rapeseed increased nitrate flow by 18%. The impacts of each scenario varied in accordance with leaching at the parcel scale and with the proportion of area affected by the practice. The results show that modelling can improve our understanding of the impacts of agricultural practices on water quality at different scales.
机译:SWAT模型用于模拟气候,土壤和农业实践对法国西部1310km〜2集水区硝酸盐流量的影响。空间数据用于自然特征(气候,土壤,地形),而农业活动则以3年以上的农作物序列为代表,并通过遥感技术绘制了与之相关的文化习俗。对该模型进行校准,并验证其在计量站的流量和硝酸盐流量。分析每种作物序列和每种土壤类型的浸出结果,因为硝酸盐浸出对土壤和作物序列高度敏感。在粘性土壤中风险最低,在沙质土壤和/或包括玉米在内的序列中风险最高。在与当地利益相关者的合作下,模拟了五种替代做法的情景,以评估其对氮流的影响:减少施肥,捕获作物,浅耕,采用耕作的免耕作物和滤纸条。还评估了牧场转换为小麦和油菜籽的影响。在集水站,我们进行了为期9年的模拟,结果表明,使用滤纸条可减少8%的硝酸盐流量,使用农作物可减少11%的硝酸盐流量,使用免耕作物可减少12%的硝酸盐流量,减少施肥量可减少15%的硝酸盐流量。浅耕对硝酸盐流量没有影响。相反,占集水面积32%的临时牧场向谷物和油菜籽的转化使硝酸盐流量增加了18%。每种情况的影响会根据包裹规模的浸出以及受实践影响的面积比例而有所不同。结果表明,建模可以提高我们对不同规模农业实践对水质影响的理解。

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