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从田间到流域的磷素流失模拟:综述。

Modeling of phosphorus loss from field to watershed: A review.

机构信息

Harrow Research and Development Centre, Agriculture & Agri-Food Canada, Harrow, ON, N0R1G0, Canada.

Dep. of Bioresource Engineering, McGill Univ., Sainte-Anne-de-Bellevue, QC, H9X3V9, Canada.

出版信息

J Environ Qual. 2020 Sep;49(5):1203-1224. doi: 10.1002/jeq2.20109. Epub 2020 Aug 24.

Abstract

Phosphorus (P) losses from nonpoint sources into surface water resources through surface runoff and tile drainage play a significant role in eutrophication. Accordingly, the number of studies involving the modeling of agricultural P losses, the uncertainties of such models, and the best management practices (BMPs) supported by the modeling of hypothetical P loss reduction scenarios has increased significantly around the world. Many improvements have been made to these models: separate manure P pools, variable source areas allowing the determination of critical source areas of P loss, analyses of modeling uncertainties, and understanding of legacy P. However, several elements are still missing or have yet to be sufficiently addressed: the incorporation of preferential flow into models, the modification of P sorption-desorption processes considering recent research data (e.g., pedotransfer functions for labile, active, or stable P, along with P sorption coefficients), BMP parameterization, and scale-up issues, as well as stakeholder-scientist and experimentalist-modeler interactions. The accuracy of P loss modeling can be improved by (a) incorporating dynamic P sorption-desorption processes and new P subroutines for direct P loss from manure, fertilizer, and dung, (b) modeling preferential flow, connectivity between field and adjacent water bodies, and P in-stream processes, (c) including an assessment of model uncertainty, (d) integrating field and watershed models for BMP calibration and scaling field results up to larger areas, and (e) building a holistic interaction between stakeholders, experimentalists, and modelers.

摘要

非点源通过地表径流和暗管排水向地表水系统中输送的磷(P)对水体富营养化起着重要作用。因此,全世界涉及农业 P 流失模型、模型不确定性以及基于假设 P 流失减少情景的最佳管理实践(BMP)的研究数量显著增加。这些模型已经得到了许多改进:单独的粪肥 P 库、允许确定 P 流失关键源区的可变源区、对模型不确定性的分析以及对遗留 P 的理解。然而,仍有几个要素缺失或尚未得到充分解决:将优先流纳入模型、考虑最新研究数据(例如,可利用性、活性或稳定性 P 的土壤转移函数以及 P 吸附系数)修改 P 吸附-解吸过程、BMP 参数化以及尺度扩展问题,以及利益相关者-科学家和实验模型者之间的互动。通过以下方式可以提高 P 流失建模的准确性:(a)纳入动态 P 吸附-解吸过程和新的粪肥、肥料和粪便中直接 P 流失的 P 子程序;(b)模拟优先流、田间与相邻水体之间的连通性以及溪流中的 P 过程;(c)包括模型不确定性评估;(d)整合田间和流域模型以进行 BMP 校准并将田间结果扩展到更大的区域;(e)在利益相关者、实验家和模型者之间建立整体互动。

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