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评估流域中莠去津和硝酸盐的迁移,以评估保护实践的效果,并为未来的监测策略提供建议。

Assessing watershed transport of atrazine and nitrate to evaluate conservation practice effects and advise future monitoring strategies.

机构信息

Department of Soil, Environmental, and Atmospheric Sciences, University of Missouri, 302 ABNR Building, Columbia, MO 65211, USA.

出版信息

Environ Manage. 2012 Jan;49(1):267-84. doi: 10.1007/s00267-011-9780-7. Epub 2011 Nov 13.

DOI:10.1007/s00267-011-9780-7
PMID:22080428
Abstract

Continued public support for U.S. taxpayer funded programs aimed at reducing agricultural pollutants depends on clear demonstrations of water quality improvements. The objective of this research was to determine if implementation of agricultural best management practices (BMPs) in the Goodwater Creek Experimental Watershed (GCEW) resulted in changes to atrazine and nitrate (NO(3)-N) loads during storm events. An additional objective was to estimate future monitoring periods necessary to detect a 5, 10, 20, and 25% reduction in atrazine and NO(3)-N event load. The GCEW is a 73 km(2) watershed located in northcentral Missouri, USA. Linear regressions and Akaike Information Criteria were used to determine if reductions in atrazine and NO(3)-N event loads occurred as BMPs were implemented. No effects due to any BMP type were indicated for the period of record. Further investigation of event sampling from the long-term GCEW monitoring program indicated errors in atrazine load calculations may be possible due to pre-existing minimum threshold levels used to trigger autosampling and sample compositing. Variation of event loads was better explained by linear regressions for NO(3)-N than for atrazine. Decommissioning of upstream monitoring stations during the study period represented a missed opportunity to further explain variation of event loads at the watershed outlet. Atrazine requires approximately twice the monitoring period relative to NO(3)-N to detect future reductions in event load. Appropriate matching of pollutant transport mechanisms with autosampling protocols remains a critical information need when setting up or adapting watershed monitoring networks aimed at detecting watershed-scale BMP effects.

摘要

持续的公众支持,取决于美国纳税人资助的项目,旨在减少农业污染物。本研究的目的是确定在古德沃特溪实验流域(GCEW)实施农业最佳管理措施(BMP)是否导致莠去津和硝酸盐(NO3-N)负荷在暴雨事件中发生变化。另一个目标是估计未来监测期间,以检测莠去津和 NO3-N 事件负荷减少 5%、10%、20%和 25%的必要时间。GCEW 是一个位于美国密苏里州中北部的 73 平方公里的流域。线性回归和赤池信息量准则用于确定随着 BMP 的实施,莠去津和 NO3-N 事件负荷是否减少。在记录的时间段内,没有任何 BMP 类型的影响。对长期 GCEW 监测计划的事件采样的进一步调查表明,由于用于触发自动采样和样品组合的预先存在的最小阈值水平,莠去津负荷计算中可能存在误差。事件负荷的变化通过线性回归更好地解释了 NO3-N 比莠去津。在研究期间,上游监测站的退役代表了一个错失的机会,无法进一步解释流域出口处的事件负荷变化。莠去津需要大约两倍的监测时间,以检测未来事件负荷的减少。在建立或调整旨在检测流域尺度 BMP 效应的流域监测网络时,适当匹配污染物输运机制与自动采样协议仍然是一个关键的信息需求。

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