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Your search keyword '"Arbain, Ardhi A."' showing total 12 results
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12 results on '"Arbain, Ardhi A."'

1. Very high particulate pollution over northwest India captured by a high-density in situ sensor network

Author

Singh, Tanbir, Matsumi, Yutaka, Nakayama, Tomoki, Hayashida, Sachiko, Patra, Prabir K., Yasutomi, Natsuko, Kajino, Mizuo, Yamaji, Kazuyo, Khatri, Pradeep, Takigawa, Masayuki, Araki, Hikaru, Kurogi, Yuki, Kuji, Makoto, Muramatsu, Kanako, Imasu, Ryoichi, Ananda, Anamika, Arbain, Ardhi A., Ravindra, Khaiwal, Bhardwaj, Sanjeev, Kumar, Sahil, Mor, Sahil, Dhaka, Surendra K., Dimri, A. P., Sharma, Aka, Singh, Narendra, Bhatti, Manpreet S., Yadav, Rekha, Vatta, Kamal, and Mor, Suman

Published
2023
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11. Convective Systems Developed along the Coastline of Sumatera Island, Indonesia, Observed with an X-band Doppler Radar during the HARIMAU2006 Campaign

Author

MORI, Shuichi, primary, HAMADA, Jun-Ichi, additional, SAKURAI, Namiko, additional, FUDEYASU, Hironori, additional, KAWASHIMA, Masayuki, additional, HASHIGUCHI, Hiroyuki, additional, SYAMSUDIN, Fadli, additional, A. ARBAIN, Ardhi, additional, SULISTYOWATI, Reni, additional, MATSUMOTO, Jun, additional, and D. YAMANAKA, Manabu, additional

Published
2011
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12. Estimating PM$_{2.5}$ Emission from Brick Kiln Industry over Northern India with Numerical Model and Remote Sensing Observation.

Author

Arbain, Ardhi Adhary, Imasu, Ryoichi, Misra, Prakhar, and Takeuchi, Wataru

Subjects
*BRICK industry, *REMOTE sensing, *FARMS, *POLLUTANTS, *KILNS
Abstract

This study examines contribution of brick kiln (BK) industry to PM2.5 emission overnorthern part of India. We analyze MODIS LAI, FPAR, global land cover products, as well asNASA’s LDAS vegetation and soil datasets with 3887 BK locations over the region in theperiod of the highest PM2.5 concentration during December 2016 to February 2017. Ourpreliminary results show that more than 60% of BK occupied silt-rich areas, withmore than 80% of them were located over croplands on the outskirts of urban areas,indicating proxies for PM2.5 emission over Northern India. Initial WRF-Chem modelsimulations showed prominent diurnal variation of the pollutant with averaged peakconcentration exceeding 1μg/m3 over the capital city of New Delhi. Future works willintroduce the use of Google Earth Engine (GEE) cloud platform for identifying BKlocations and incorporate them into the model to improve the simulation results. [ABSTRACT FROM AUTHOR]

Published
2019

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