K. Raghavendra Kumar
Nanjing University of Information Science and Technology
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Publication
Featured researches published by K. Raghavendra Kumar.
Science of The Total Environment | 2016
Xingna Yu; Jia Ma; K. Raghavendra Kumar; Bin Zhu; Junlin An; Jiaqi He; Mei Li
Aerosol optical properties including aerosol scattering coefficient (σsp), absorption coefficient (σap), single scattering albedo (SSA), PM2.5 mass concentration and their relationship with meteorological factors were measured and analyzed from 1st March to 30th April 2011. The observations were conducted at an urban-industrial site in Nanjing located in the Yangtze River Delta (YRD) region, China. The averaged σsp at 550 nm is found to be 329.3±321.6 Mm(-1) and occurred most frequently within the range of 100-200 Mm(-1). σap at 532 nm is measured to be 28.1±17.6 Mm(-1), which is remarkably smaller than most of the measurements made over megacities in China and nearly equivalent to the observations made at rural sites in the YRD. The mean SSA at 532 nm is 0.89±0.08 with the occurrence frequency of higher SSA (>0.9) accounting for about 60%, indicating that scattering-related aerosols are dominant over Nanjing during the study period. A bi-peak diurnal variation of σap and σsp is found with the maximum during late at night and early morning and the minimum in the afternoon, but the diurnal pattern of SSA is just the opposite to this. Significant correlation coefficients are noticed between different aerosol optical properties. σsp and σap showed a clear negative correlation with wind speed, temperature, and visibility. During the study period, the lower northwesterly and southeasterly winds are attributed to an increase in the aerosol optical properties. The σsp and σap increased significantly during severe haze and dust episodes caused by the accumulation of pollutants from both local and regional sources under favorable weather conditions.
Journal of Geophysical Research | 2016
Ji Li; Chao Liu; Yan Yin; K. Raghavendra Kumar
Black carbon (BC) plays an important role on the global and regional climate, whereas there are significant uncertainties on its optical properties. Among various optical properties, the Angstrom exponent (AE) indicates the spectral variation of the particle-optic interaction and is widely used to understand the aerosol properties. We consider the influence of BC geometry on its optical properties and assess the sensitivity of the AE to particle geometry and size distribution. The fractal aggregates with different fractal dimensions are used to represent realistic BC particles, and popular equivalent volume spherical and spheroidal models are also considered for comparison. Even if the fractal aggregates become highly compact and spherical, their optical properties are still significantly different from those of equivalent volume spheres or spheroids. Meanwhile, the Rayleigh-Debye-Gans approximation can hardly provide accurate results for all optical quantities of aggregates with different dimensions. The extinction Angstrom exponent (EAE) and absorption Angstrom exponent (AAE) are sensitive to both particle geometry and size distribution. With BC becoming more compact (from fractal aggregate to spheroid and to sphere), the AE becomes more sensitive to particle size distribution. The EAE and AAE of aggregates with different size distributions vary between 1.10–1.63 and 0.87–1.50, respectively, whereas those of the spheres or spheroids have wider ranges. Furthermore, the AE at smaller wavelengths (between 0.35 µm and 0.55 µm) is more sensitive to geometry and size distribution than that given by optical properties at larger wavelengths (between 0.55 µm and 0.88 µm).
Advances in Space Research | 2018
Baiwan Pan; Zhendong Yao; Minzhong Wang; Honglin Pan; Lingbing Bu; K. Raghavendra Kumar; Haiyang Gao; Xingyou Huang
Abstract The present study elucidates on the evaluation of two versions (V3 and V4.10) of vertical feature mask (VFM) and aerosol sub-types data derived from the Cloud-Aerosol LiDAR and Infrared Pathfinder Satellite Observations (CALIPSO), and its utilization to analyze the impact of dust aerosol on the microphysical properties of cirrus over the Tibetan Plateau (TP). In conjunction to the CALIPSO, we have also used the CloudSat data to study the same during the summer season for the years 2007–2010 over the study area 25–40°N and 75–100°E. Compared to V3 of CALIPSO, V4.10 was found to have undergone substantial changes in the code, algorithm, and data products. Intercomparison of both versions of data products in the selected grid between 30–31°N and 83–84°E within the study area during 2007–2017 revealed that the VFM and aerosol sub-types are in good agreement of ∼95.27% and ∼82.80%, respectively. Dusty cirrus is defined as the clouds mixed with dust aerosols or existing in dust aerosol conditions, while the pure cirrus is that in a dust-free environment. The obtained results illustrated that the various microphysical properties of cirrus, namely ice water content (IWC), ice water path (IWP), ice distribution width (IDW), ice effective radius (IER), and ice number concentration (INC) noticed a decrease of 17%, 18%, 4%, 19%, and 10%, respectively due to the existence of dust aerosol, consistent with the classical “Twomey effect” for liquid clouds. Moreover, the aerosol optical depth (AOD) showed moderate negative correlations between −0.4 and −0.6 with the microphysical characteristics of cirrus. As our future studies, in addition to the present work undertaken, we planned to gain knowledge and interested to explore the impact of a variety of aerosols apart from the dust aerosol on the microphysical properties of cirrus in different regions of China.Long-Gang Pang1,2,∗ Kai Zhou, and Xin-Nian Wang Physics Department, University of California, Berkeley, CA 94720, USA Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Key Laboratory of Quark & Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany and Institute for Theoretical Physics, Goethe University, 60438 Frankfurt am Main, Germany
Environmental Pollution | 2016
Xingna Yu; K. Raghavendra Kumar; Rui Lü; Jia Ma
Atmospheric Environment | 2015
K. Raghavendra Kumar; Yan Yin; Venkataraman Sivakumar; Na Kang; Xingna Yu; Yiwei Diao; A. Joseph Adesina; R.R. Reddy
Atmospheric Environment | 2014
K. Raghavendra Kumar; Venkataraman Sivakumar; Yan Yin; R.R. Reddy; Na Kang; Yiwei Diao; A. Joseph Adesina; Xingna Yu
Environmental Science and Pollution Research | 2016
Na Kang; K. Raghavendra Kumar; Xingna Yu; Yan Yin
Atmospheric Research | 2016
Na Kang; K. Raghavendra Kumar; Kang Hu; Xingna Yu; Yan Yin
Atmospheric Environment | 2017
Richard Boiyo; K. Raghavendra Kumar; Tianliang Zhao; Yansong Bao
Atmospheric Research | 2016
G. Reshma Begam; C. Viswanath Vachaspati; Y. Nazeer Ahammed; K. Raghavendra Kumar; S. Suresh Babu; R.R. Reddy
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Nanjing University of Information Science and Technology
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