Effect of artificial rainfall on the retention of particulate matter on wetland plant leaf surface

2021 ◽  
Vol 41 (18) ◽  
Author(s):  
周士钧,丛岭,刘莹,张振明 ZHOU Shijun
2014 ◽  
Vol 34 (17) ◽  
Author(s):  
郭超凡 GUO Chaofan ◽  
段福洲 DUAN Fuzhou ◽  
郭逍宇 GUO Xiaoyu ◽  
赵文吉 ZHAO Wenji ◽  
刘克 LIU Ke

2009 ◽  
Vol 81 (9) ◽  
pp. 3356-3364 ◽  
Author(s):  
Tohru Awane ◽  
Shintaro Fukuoka ◽  
Kazuo Nakamachi ◽  
Kouichi Tsuji

2016 ◽  
Vol 27 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Sirima Panyametheekul ◽  
Thanakorn Rattanapun ◽  
Maneerat Ongwandee

Two artificial and three live houseplants were assessed for their abilities to capture particulate matter smaller than 2.5 µm (PM2.5) generated by burning an incense stick. The test plants included polyester Boston fern, polyethylene Dieffenbachia, Golden Pothos ( Epipremnum aureum), Painted nettle ( Plectranthus scutellarioides) and Rainbow tree ( Dracaena cincta Bak. ‘Tricolor’). Each plant was tested one at a time in a closed 8-m3 chamber, and the PM2.5 concentrations were continuously measured for 24 h. A loss rate constant for PM2.5 due to deposition onto leaf surface was determined by fitting measured concentrations to a mass balance model using nonlinear regression. The PM2.5 loss rates for the artificial Boston fern correlated well with its total leaf surface areas at the significant level of 0.5. All studied plants had PM2.5 loss rates ranging from 0.05 to 0.08 h−1 under the testing condition of similar total leaf surface areas, while a PM2.5 loss rate due to deposition onto the chamber surfaces was 0.03 h−1. Stereo microscope leaf images revealed the particle accumulation mostly on the midribs and veins rather than the flat blades, while the woven polyester fabric of the artificial plant acts as a filter for collecting the coarse particles.


2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
Shenglian Lu ◽  
Chunjiang Zhao ◽  
Xinyu Guo

A venation skeleton-driven method for modeling and animating plant leaf wilting is presented. The proposed method includes five principal processes. Firstly, a three-dimensional leaf skeleton is constructed from a leaf image, and the leaf skeleton is further used to generate a detailed mesh for the leaf surface. Then a venation skeleton is generated interactively from the leaf skeleton. Each vein in the venation skeleton consists of a segmented vertices string. Thirdly, each vertex in the leaf mesh is banded to the nearest vertex in the venation skeleton. We then deform the venation skeleton by controlling the movement of each vertex in the venation skeleton by rotating it around a fixed vector. Finally, the leaf mesh is mapped to the deformed venation skeleton, as such the deformation of the mesh follows the deformation of the venation skeleton. The proposed techniques have been applied to simulate plant leaf surface deformation resulted from biological responses of plant wilting.


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