Suppr超能文献

城市径流中农药的出现及时空变异性:澳大利亚的研究

Pesticide occurrence and spatio-temporal variability in urban run-off across Australia.

机构信息

Department of Civil and Environmental Engineering, Henry Samulei School of Engineering, University of California Irvine, Irvine, CA, 92697, United States.

Monash Infrastructure, Department of Civil Engineering, Monash University, Clayton, VIC, 3800, Australia; Cooperative Research Centre for Water Sensitive Cities, Clayton, VIC, 3800, Australia.

出版信息

Water Res. 2017 May 15;115:245-255. doi: 10.1016/j.watres.2017.03.010. Epub 2017 Mar 6.

Abstract

Stormwater is a major driving factor of aquatic ecosystem degradation as well as one of the largest untapped urban freshwater resources. We present results from a long-term, multi-catchment study of urban stormwater pesticides across Australia that addresses this dichotomous identity (threat and resource), as well as dominant spatial and temporal patterns in stormwater pesticide composition. Of the 27 pesticides monitored, only 19 were detected in Australian stormwater, five of which (diuron, MCPA, 2,4-D, simazine, and triclopyr) were found in >50% of samples. Overall, stormwater pesticide concentrations were lower than reported in other countries (including the United States, Canada and Europe), and exceedances of public health and aquatic ecosystem standards were rare (<10% of samples). Spatio-temporal patterns were investigated with principal component analysis. Although stormwater pesticide composition was relatively stable across seasons and years, it varied significantly by catchment. Common pesticide associations appear to reflect 1) user application of common registered formulations containing characteristic suites of active ingredients, and 2) pesticide fate properties (e.g., environmental mobility and persistence). Importantly, catchment-specific occurrence patterns provide opportunities for focusing treatment approaches or stormwater harvesting strategies.

摘要

雨水是水生生态系统退化的主要驱动因素之一,也是最大的未开发城市淡水资源之一。我们展示了一项针对澳大利亚城市雨水农药的长期、多流域研究的结果,该研究解决了这一两难问题(威胁和资源),以及雨水农药成分的主要时空模式。在所监测的 27 种农药中,只有 19 种在澳大利亚的雨水,其中 5 种(敌草隆、MCPA、2,4-D、西玛津和三氯吡氧乙酸)在>50%的样本中被发现。总的来说,雨水农药浓度低于其他国家(包括美国、加拿大和欧洲)的报告,超过公共健康和水生生态系统标准的情况很少(<10%的样本)。用主成分分析研究了时空模式。尽管雨水农药成分在季节和年份之间相对稳定,但流域之间差异显著。常见的农药关联似乎反映了 1)用户应用含有特征活性成分的常见注册配方,以及 2)农药命运特性(例如,环境迁移性和持久性)。重要的是,特定流域的发生模式为集中处理方法或雨水收集策略提供了机会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验