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不同降雨强度和历时下湿地植物叶片 PM 去除过程。

The PM removal process of wetland plant leaves with different rainfall intensities and duration.

机构信息

School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.

School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.

出版信息

J Environ Manage. 2020 Dec 1;275:111239. doi: 10.1016/j.jenvman.2020.111239. Epub 2020 Aug 23.

Abstract

Today, particulate-matter (PM) pollution has become one of the most severe air-pollution problems. As the most commonly used method in daily life, phytoremediation can use plant organs (such as leaves) as biological filters for pollutants to repair the atmosphere. At the same time, rainfall can remove PM from plant-leaf surfaces and enable them to adsorb PM again. By simulating natural rainfall, the rainfall characteristics are quantified as rainfall intensity and rainfall duration, and we use the washout-weighing method to obtain the amount of PM removed from the leaf surface. Then, use a scanner to scan the leaves after rain to get their images, and use Image J software to process the images to obtain leaf area. Finally, the amount of PM removed by rain per unit leaf area can be calculated. It will be used to explore the impact of different rainfall intensity and duration on the removal of PM from the leaf surface of wetland plants. The results showed that under three rainfall intensities used in this experiment, the removal of PM from plant-leaf surfaces all increased with an increase in rainfall duration. When the particle size is 10-100-μm, and the rainfall intensity is 30 mm/h, the removal amount of plant particles tested in this experiment is the largest. With increased rainfall duration, the removal of PM from plant-leaf surfaces increased sharply at first, then slowly, and finally tended to be stable. The removal efficiency of PM on the blade surface is most apparent at the early stage of rainfall, and then gradually weakens. Among the four wetland plants tested in this experiment, in the range of 10-100-μm, the number of PM on the leaf surface of Scirpus validus is the largest, and the optimum rainfall intensity is 30 mm/h; in the range of 2.5-10-μm, the number of PM on the leaf surface of Typha orientalis is the largest, and the optimal rainfall intensity is 30 mm/h; in the range of 0.45-2.5-μm, the number of PM on the leaf surface of Iris wilsonii is the largest, and the optimal rainfall intensity is 15 mm/h. Wetland species with high particle accumulation capacity can provide references for vegetation restoration of degraded wetland plants and plant cultivation in constructed wetlands. At the same time, the best rainfall intensity and duration for removing particulate matter on the surface of plant leaves were obtained through experiments, which provided a reference for the design of automatic plant irrigation systems and dust removers in different scenarios.

摘要

如今,颗粒物(PM)污染已成为最严重的空气污染问题之一。作为日常生活中最常用的方法,植物修复可以利用植物器官(如叶片)作为污染物的生物过滤器来修复大气。同时,降雨可以去除叶片表面的 PM,并使叶片再次吸附 PM。通过模拟自然降雨,将降雨特征量化为降雨强度和降雨持续时间,并使用冲刷称重法获得叶片表面去除的 PM 量。然后,使用扫描仪扫描雨后的叶片以获取其图像,并使用 Image J 软件处理图像以获得叶片面积。最后,可以计算单位叶片面积去除的 PM 量。该方法将用于探索不同降雨强度和持续时间对湿地植物叶片表面 PM 去除的影响。结果表明,在本实验中使用的三种降雨强度下,植物叶片表面的 PM 去除率均随降雨持续时间的增加而增加。当粒径为 10-100-μm 且降雨强度为 30mm/h 时,本实验测试的植物颗粒去除量最大。随着降雨持续时间的增加,植物叶片表面的 PM 去除量先急剧增加,然后缓慢增加,最后趋于稳定。降雨初期叶片表面 PM 的去除效率最为明显,然后逐渐减弱。在本实验测试的四种湿地植物中,在 10-100-μm 范围内,芦苇叶片表面的 PM 数量最多,最佳降雨强度为 30mm/h;在 2.5-10-μm 范围内,花叶芦竹叶片表面的 PM 数量最多,最佳降雨强度为 30mm/h;在 0.45-2.5-μm 范围内,黄菖蒲叶片表面的 PM 数量最多,最佳降雨强度为 15mm/h。具有高颗粒积累能力的湿地物种可为退化湿地植物的植被恢复和人工湿地植物的种植提供参考。同时,通过实验获得了去除叶片表面颗粒物的最佳降雨强度和持续时间,为不同场景下自动植物灌溉系统和除尘器的设计提供了参考。

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