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在耕作的山间盆地中农药的归宿:用于预测峰值暴露和指导可持续监测活动以保护水生态系统的改进型 DynAPlus 模型。

Pesticide fate in cultivated mountain basins: The improved DynAPlus model for predicting peak exposure and directing sustainable monitoring campaigns to protect aquatic ecosystems.

机构信息

Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, CO, Italy.

Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, CO, Italy.

出版信息

Chemosphere. 2018 Nov;210:204-214. doi: 10.1016/j.chemosphere.2018.06.181. Epub 2018 Jul 4.

Abstract

Agricultural activities can involve the use of plant protection products (PPPs) and the use of such chemicals can occur near surface waters bodies, thus creating a potential for adverse effects on aquatic ecosystems. In mountain watersheds, where runoff fluxes are particularly rapid due to side slopes, exposure is generally characterized by short but intense concentration peaks. Monitoring campaigns are often inadequate or too expensive to be carried out and modelling tools are therefore vital for exposure assessment and their use is encouraged by current legislation. However, currently adopted models and scenarios (e.g., FOCUS for PPPs) are often too conservative and/or "static" to accurately capture exposure variability, and the need for more realistic and dynamic tools is now one of the major challenges for risk assessment. In a previous work, the new fate model DynAPlus was developed to improve pesticide fate predictions in cultivated mountain basins and was successfully evaluated against chlorpyrifos water concentrations measured in a mountain stream in Northern Italy. However, the need for some model improvements (e.g., the inclusion of dissolved organic matter and macrophytes in water) was highlighted. In this work, DynAPlus was improved by replacing the water-sediment unit with ChimERA fate, a recently-published model capable of predicting bioavailable chemical concentrations in shallow water environments accounting for the presence and temporal variations of particulate/dissolved organic carbon and primary producers. The model was applied to preliminarily characterize the risk associated to the use of four PPPs (two insecticides and two fungicides) in a sub-basin of the Adda River (Valtellina Valley, Northern Italy), surrounded by apple orchards. Results revealed the potential magnitude of exposure peaks for the four PPPs and suggested that monitoring campaigns should prioritize, in the selected case study, chlorpyrifos, etofenprox and fluazinam. The potential role of DynAPlus in providing more realistic exposure predictions for ecological risk assessment, as well as for planning efficient monitoring campaigns and help pesticide management practices, was also stressed.

摘要

农业活动可能涉及到使用植物保护产品(PPPs),而这些化学物质的使用可能发生在地表水附近,从而对水生生态系统造成潜在的不利影响。在山区流域,由于边坡的存在,径流量特别大,因此暴露通常具有短暂但强烈的浓度峰值。监测活动往往不足或过于昂贵而无法进行,因此建模工具对于暴露评估至关重要,当前法规也鼓励使用这些工具。然而,目前采用的模型和情景(例如,针对 PPPs 的 FOCUS)往往过于保守和/或“静态”,无法准确捕捉暴露的变异性,因此现在需要更现实和动态的工具来应对风险评估的主要挑战之一。在之前的工作中,开发了新的命运模型 DynAPlus,以改善在山区流域中种植作物时的农药命运预测,并在意大利北部的一条山区溪流中对毒死蜱的水浓度进行了成功评估。然而,需要对模型进行一些改进(例如,将溶解有机物和大型藻类纳入水中)。在这项工作中,通过用 ChimERA 命运模型替换水-沉积物单元来改进 DynAPlus,ChimERA 命运模型是一种新发布的模型,能够预测浅水环境中生物可利用的化学物质浓度,同时考虑到颗粒/溶解有机碳和初级生产者的存在和时间变化。该模型应用于初步描述在阿迪河(意大利北部瓦莱达奥斯塔山谷)的一个亚流域中使用四种 PPPs(两种杀虫剂和两种杀菌剂)相关的风险,该亚流域周围是苹果园。结果揭示了这四种 PPPs 暴露峰值的潜在幅度,并表明在选定的案例研究中,应优先进行监测活动,以监测氯吡硫磷、乙氧呋草黄和氟唑菌酰胺。还强调了 DynAPlus 在为生态风险评估提供更现实的暴露预测、规划有效的监测活动以及帮助农药管理实践方面的潜在作用。

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