A review of long-term pesticide monitoring studies to assess surface water quality trends

被引:83
|
作者
Chow, R. [1 ]
Scheidegger, R. [1 ]
Doppler, T. [2 ]
Dietzel, A. [2 ]
Fenicia, F. [1 ]
Stamm, C. [1 ]
机构
[1] Swiss Fed Inst Aquat Sci & Technol Eawag, CH-8600 Dubendorf, Switzerland
[2] VSA, Swiss Water Assoc, CH-8152 Glattbrugg, Switzerland
来源
WATER RESEARCH X | 2020年 / 9卷
关键词
Long-term; Pesticide; Monitoring; Concentration; Trend; Surface water; PASSIVE SAMPLERS; AGRICULTURAL STREAMS; HERBICIDE TRANSPORT; CATCHMENT; ATRAZINE; INSECTICIDES; MITIGATION; LOSSES; EXPERIENCES; VARIABILITY;
D O I
10.1016/j.wroa.2020.100064
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aquatic pesticide pollution from both agricultural and urban pest control is a concern in many parts of the world. Making an accurate assessment of pesticide exposure is the starting point to protecting aquatic ecosystems. This in turn requires the design of an effective monitoring program. Monitoring is also essential to evaluate the efficacy of mitigation measures aimed to curb pesticide pollution. However, empirical evidence for their efficacy can be confounded by additional influencing factors, most prominently variable weather conditions. This review summarizes the experiences gained from long-term (>5 years) pesticide monitoring studies for detecting trends and provides recommendations for their improvement. We reviewed articles published in the scientific literature, with a few complements from selected grey literature, for a total of 20 studies which fulfill our search criteria. Overall, temporal trends of pesticide use and hydrological conditions were the two most common factors influencing aquatic pesticide pollution. Eighteen studies demonstrated observable effects to surface water concentrations from changes in pesticide application rates (e.g., use restriction) and sixteen studies from interannual variability in hydrological conditions during the application period. Accounting for seasonal- and streamflow-related variability in trend analysis is important because the two factors can obscure trends caused by changes in pesticide use or management practices. Other mitigation measures (e.g., buffer strips) were only detectable in four studies where concentrations or loads were reduced by > 45%. Collecting additional agricultural (e.g., pesticide use, mitigation measures) and environmental (e.g., precipitation, stream flow) data, as well as establishing a baseline before the implementation of mitigation measures have been consistently reported as prerequisites to interpret water quality trends from long-term monitoring studies, but have rarely been implemented in the past. (C) 2020 Swiss Federal Institute of Aquatic Science and Technology (Eawag). Published by Elsevier Ltd.
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页数:13
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