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确定农业缓冲带污染减排功能研究的优先事项。

Setting priorities for research on pollution reduction functions of agricultural buffers.

作者信息

Dosskey Michael G

机构信息

United States Department of Agriculture, National Agroforestry Center, East Campus-University of Nebraska, Lincoln, Nebraska 68583-0822, USA.

出版信息

Environ Manage. 2002 Nov;30(5):641-50. doi: 10.1007/s00267-002-2755-y.

Abstract

The success of buffer installation initiatives and programs to reduce nonpoint source pollution of streams on agricultural lands will depend the ability of local planners to locate and design buffers for specific circumstances with substantial and predictable results. Current predictive capabilities are inadequate, and major sources of uncertainty remain. An assessment of these uncertainties cautions that there is greater risk of overestimating buffer impact than underestimating it. Priorities for future research are proposed that will lead more quickly to major advances in predictive capabilities. Highest priority is given for work on the surface runoff filtration function, which is almost universally important to the amount of pollution reduction expected from buffer installation and for which there remain major sources of uncertainty for predicting level of impact. Foremost uncertainties surround the extent and consequences of runoff flow concentration and pollutant accumulation. Other buffer functions, including filtration of groundwater nitrate and stabilization of channel erosion sources of sediments, may be important in some regions. However, uncertainty surrounds our ability to identify and quantify the extent of site conditions where buffer installation can substantially reduce stream pollution in these ways. Deficiencies in predictive models reflect gaps in experimental information as well as technology to account for spatial heterogeneity of pollutant sources, pathways, and buffer capabilities across watersheds. Since completion of a comprehensive watershed-scale buffer model is probably far off, immediate needs call for simpler techniques to gage the probable impacts of buffer installation at local scales.

摘要

旨在减少农田溪流非点源污染的缓冲带安装举措和项目能否成功,将取决于当地规划者针对特定情况定位和设计缓冲带并取得显著且可预测效果的能力。目前的预测能力不足,不确定性的主要来源依然存在。对这些不确定性的评估警示,高估缓冲带影响的风险大于低估它的风险。文中提出了未来研究的优先事项,这些优先事项将更快地推动预测能力取得重大进展。最高优先级的工作是针对地表径流过滤功能展开研究,这对于缓冲带安装预期的污染减少量几乎普遍重要,而且在预测影响程度方面仍存在主要的不确定性来源。最主要的不确定性围绕径流集中程度和污染物积累的范围及后果。其他缓冲带功能,包括对地下水中硝酸盐的过滤以及稳定河道侵蚀沉积物来源,在某些地区可能很重要。然而,对于我们识别和量化通过缓冲带安装能够大幅减少溪流污染的场地条件范围的能力,仍存在不确定性。预测模型的缺陷反映出实验信息方面的差距,以及在考虑流域内污染物来源、路径和缓冲带能力的空间异质性方面的技术差距。由于完成一个全面的流域尺度缓冲带模型可能还很遥远,当下的需求要求采用更简单的技术来衡量在地方尺度上安装缓冲带可能产生的影响。

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