[1] [1] Pandey A, Brauer M, Cropper L M, et al. Health and economic impact of air pollution in the states of India: The global burden of disease study 2019 [J]. The Lancet Planetary Health, 2021, 5(1): e25-e38.

[2] [2] Chen J X. Dust catching ability of familiar evergreen greening broad-leaved tree species in Xiamen City [J]. Journal of Fujian Forestry Science and Technology, 2014, 41(2): 57-60.

[3] [3] Jia M Y, Zhou D Q, Lu S P, et al. Assessment of foliar dust particle retention and toxic metal accumulation ability of fifteen roadside tree species: Relationship and mechanism [J]. Atmospheric Pollution Research, 2021, 12(1): 36-45.

[4] [4] Castanheiro A, Hofman J, Nuyts G, et al. Leaf accumulation of atmospheric dust: Biomagnetic, morphological and elemental evaluation using SEM, ED-XRF and HR-ICP-MS [J]. Atmospheric Environment, 2020, 221: 117082.

[5] [5] Chaudhary I J, Rathore D. Dust pollution: Its removal and effect on foliage physiology of urban trees [J]. Sustainable Cities and Society, 2019, 51: 101696.

[6] [6] Wang H X, Shi H, Li Y Y. Leaf dust capturing capacity of urban greening plant species in relation to leaf micromorphology [C]. International Symposium on Water Resource and Environmental Protection. May 20-22, 2011, Xi'an, China. IEEE, 2011: 2198-2201.

[7] [7] Sun T T, Lin W P, Li Y, et al. Effect of different dust weight levels on unban canopy reflectance spectroscopy [J]. Spectroscopy and Spectral Analysis, 2017, 37(8): 2539-2545.

[8] [8] Zhu J Y, Yu Q, Liu X X, et al. Effect of leaf dust retention on spectral characteristics of euonymus japonicus and its dust retention prediction [J]. Spectroscopy and Spectral Analysis, 2020, 40(2): 517-522.

[9] [9] Lin W P, Li Y, Du S Q. Effect of dust deposition on spectrum-based estimation of leaf water content in urban plant [J]. Ecological Indicators, Ecological Indicators, 2019, 104: 41-47.

[10] [10] Hu M L, A Liya · Baidurela, Liu Li, et al. Effect of dust retaining on photosynthetic rate and water consumption characteristics of fruit leaves [J]. Xinjiang Agricultural Sciences, 2019, 56(11): 2032-2042.

[11] [11] Pan H, Zhao H D, Ye L M. Temporal-spatial variations and sources of atmospheric pollutants in Hefei [J]. Environmental Protection and Technology, 2020, 26(1): 30-36.

[12] [12] Chen Y W, Li W, Hyypp J, et al. A 10-nm spectral resolution hyperspectral LiDAR system based on an acousto-optic tunable filter [J]. Sensors, 2019,19(7): 1620.

[13] [13] Jiang C H, Chen Y W, Wu H H, et al. Study of a high spectral resolution hyperspectral LiDAR in vegetation red edge parameters extraction [J]. Remote Sensing, 2019, 11(17): 2007.

[14] [14] Bhosle K, Musande V. Red edge point detection for mulberry leaf [C]. 1st International Conference on Intelligent Systems and Information Management (ICISIM). October 5-6, 2017, Aurangabad, India. IEEE, 2017: 119-122.

[15] [15] Wang H, Qin L A, Jing X, et al. Research of identification of papaver based on spectral analysis [J]. Chinese Journal of Quantum Electronics, 2019, 36(2): 151-155.

[16] [16] Yang S Y, Li Y M, Yang H Z, et al. Relationship between leaf surface morphology and dust detention ability of 6 common broad-leaved trees in Kunming City [J]. Tropical Agricultural Engineering, 2018, 42(1): 27-30.

[17] [17] Duan M J, Li X Y, Zhao S T, et al. Study on changes of hyperspectral characteristics of plant leaves under different dust retention conditions [J]. Journal of Southwest Forestry University (Natural Sciences), 2020, 40(3): 88-94.

[18] [18] Sims D A, Gamon J A. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features [J]. Remote Sensing of Environment, 2003,84(4): 526-537.