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Modeling field scale nitrogen non-point source pollution (NPS) fate and transport: Influences from land management practices and climate

机译:造型现场规模氮非点源污染(NPS)命运和运输:土地管理实践与气候的影响

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The use of nitrogen (N) fertilizer marked the start of modern agriculture that boosted food production to help alleviate food shortages across the globe but at the cost of severe environmental issues and critical stress to the agroecosystem. This paper was aimed at determining the fate and transport of nitrite and ammonia under future climate projections by adapting the recommended land management practices that are supposed to reduce nitrate N in surface water to state government target. To accomplish these objectives, a fully-distributed physical-based hydrologic model, MIKE SHE, and a hydrodynamic river model, MIKE 11, were coupled with MIKE ECO-Lab to simulate the fate and transport of different forms of N in the agro-ecosystem in the Upper San-gamon River Basin (USRB). Twelve (12) combinations of land management and climate projections were simulated to evaluate the N fate and transport in the USRB from 2020 to 2050. Under the current land management, the nitrate concentration in surface water was expected to exceed the EPA limit of 10 ppm up to 2.5% of the days in the simulation period. Regulating the fertilizer application rates to approximately 50% of the current rate will ensure this limit will not be exceeded in the future. Implementing cover cropping alone can potentially decrease nitrate N concentrations by 33% in surface water under dry climate and in the saturated zone under future projections. By combining the cover cropping and regulated application rate management, the nitrate N concentration in the saturated zone was expected to decrease by 67% compared with historic baseline. The modeling framework developed and used in this study can help evaluate the effectiveness of different management schemes aimed at reducing future nutrient load in our surface water and groundwater.
机译:氮气(n)肥的使用标志着现代农业的开始,促进了粮食生产,以帮助减轻全球粮食短缺,而是以严重的环境问题和对农业生物系统的临界压力的成本。本文旨在通过调整应该在地表水中将硝酸盐N降低到州政府目标的建议的土地管理实践来确定未来的气候预测下的亚硝酸盐和氨的命运和运输。为了实现这些目标,一种全部分布的基于物理的水文模型,Mike She和流体动力学河流模型Mike 11,与Mike Eco-Lab相结合,以模拟农业生态系统中不同形式的命运和运输在San-gamon河流域(USRB)。模拟了12(12)土地管理和气候预测的组合,以评估2020年至2050年的USTB中的N命运和运输。在目前的土地管理下,表面水中的硝酸盐浓度超过了10ppm的EPA限值仿真期高达2.5%的日子。调节施肥率约为当前率的约50%,将来不会超过此限制。在未来的突起下,单独实施覆盖种植可以在干燥气候和饱和区内将硝酸N浓度降低33%。通过组合覆盖作物和调节的施用率管理,与历史基线相比,饱和区中硝酸盐N浓度预计将减少67%。本研究开发和使用的建模框架可以帮助评估不同管理计划的有效性,旨在减少我们地表水和地下水中未来的营养负荷。

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