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利用基于卫星的冠层蒸腾速率绘制土壤中农药的植物生物累积潜力图。

Mapping Plant Bioaccumulation Potentials of Pesticides from Soil Using Satellite-Based Canopy Transpiration Rates.

作者信息

Li Zijian, Ai Zhipin

机构信息

School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.

Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba-City, Ibaraki, Japan.

出版信息

Environ Toxicol Chem. 2023 Jan;42(1):117-129. doi: 10.1002/etc.5511. Epub 2022 Dec 13.

Abstract

The transpiration rate is an important factor that determines the bioaccumulation potential of pesticides from soil and can present a spatiotemporal pattern. In the present study, we proposed a satellite-based approach to map the bioaccumulation potential of pesticides from soil using the Global Land Evaporation Amsterdam Model (GLEAM). In the proposed model, the spatiotemporal variable (i.e., plant transpiration rate) was separately analyzed from the plant- and chemical-specific variables. The simulated bioaccumulation factors (BAFs; steady-state concentration ratios between plants and soil) of atrazine and lindane for the United States indicated that the proposed model can better predict the spatiotemporal pattern of bioaccumulation potentials of pesticides from soil than a previous weather-based model. The proposed approach using GLEAM's satellite data avoids the overestimation of plant transpiration rate in regions with a dry and warm climate. The comparison of BAFs between the proposed and weather-based models indicated that the satellite-based simulation was consistent with the weather-based simulation for most states and was more effective for the southwest region. Furthermore, plant- and chemical-specific variables were simulated for over 700 pesticides, which could be multiplied by satellite-based canopy transpiration rates to map the bioaccumulation potentials of chemicals from soil. Further evaluation of plant-specific variables, partitioning behaviors of ionizable compounds, and multiple uptake routes (e.g., airborne residue deposition) will aid in the evaluation of the spatiotemporal patterns of pesticide BAFs in plants in future research. Environ Toxicol Chem 2023;42:117-129. © 2022 SETAC.

摘要

蒸腾速率是决定农药从土壤中生物累积潜力的一个重要因素,且可能呈现时空格局。在本研究中,我们提出了一种基于卫星的方法,利用全球陆地蒸发阿姆斯特丹模型(GLEAM)绘制土壤中农药的生物累积潜力图。在所提出的模型中,时空变量(即植物蒸腾速率)与植物和化学物质特定变量分开进行分析。对美国阿特拉津和林丹的模拟生物累积因子(BAFs;植物与土壤之间的稳态浓度比)表明,与之前基于天气的模型相比,所提出的模型能够更好地预测土壤中农药生物累积潜力的时空格局。所提出的使用GLEAM卫星数据的方法避免了在干燥温暖气候区域对植物蒸腾速率的高估。所提出的模型与基于天气的模型之间的BAFs比较表明,基于卫星的模拟在大多数州与基于天气的模拟一致,并且对西南地区更有效。此外,针对700多种农药模拟了植物和化学物质特定变量,这些变量可以乘以基于卫星的冠层蒸腾速率来绘制土壤中化学物质的生物累积潜力图。在未来研究中,进一步评估植物特定变量、可电离化合物的分配行为以及多种吸收途径(如空气残留沉积)将有助于评估植物中农药BAFs的时空格局。《环境毒理学与化学》2023年;42:117 - 129。© 2022 SETAC。

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