P
Puji Lestari
Researcher at Jenderal Soedirman University
Publications - 217
Citations - 1969
Puji Lestari is an academic researcher from Jenderal Soedirman University. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 14, co-authored 150 publications receiving 1510 citations. Previous affiliations of Puji Lestari include Indonesian Institute of Sciences & State University of Jakarta.
Papers
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Journal ArticleDOI
Particulate air pollution in six Asian cities: Spatial and temporal distributions, and associated sources
N.T. Kim Oanh,N. Upadhyay,Y.-H. Zhuang,Z.-P. Hao,D.V.S. Murthy,Puji Lestari,J.T. Villarin,K. Chengchua,Hoang Xuan Co,Nghiem Trung Dung,E.S. Lindgren +10 more
TL;DR: A monitoring program for particulate matter pollution was designed and implemented in six Asian cities/metropolitan regions including Bandung, Bangkok, Beijing, Chennai, Manila, and Hanoi, within the framework of the Asian regional air pollution research network (AIRPET), coordinated by the Asian Institute of Technology.
Journal ArticleDOI
Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program
Jeffrey S. Reid,Edward J. Hyer,Randall S. Johnson,Brent N. Holben,Robert J. Yokelson,Jianglong Zhang,James R. Campbell,Sundar A. Christopher,Larry Di Girolamo,Louis Giglio,Robert E. Holz,Courtney Kearney,Jukka Miettinen,Elizabeth A. Reid,F. Joseph Turk,Jun Wang,Peng Xian,Guangyu Zhao,Rajasekhar Balasubramanian,Boon Ning Chew,Serm Janjai,Nofel Lagrosas,Puji Lestari,Neng Huei Lin,Mastura Mahmud,Anh X. Nguyen,Bethany Norris,Nguyen Thi Kim Oanh,Min Oo,Santo V. Salinas,E. Judd Welton,Soo Chin Liew +31 more
TL;DR: In this article, the authors focus on and repeatedly link back to the primary data source, satellite aerosol remote sensing and associated observability issues, and discuss aspects of SEA's physical, socio-economic and biological geography relevant to meteorology and observability problems associated with clouds and precipitation.
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Variation in global chemical composition of PM 2.5 : emerging results from SPARTAN
Graydon Snider,Crystal L. Weagle,Kalaivani K. Murdymootoo,Amanda Ring,Yvonne Ritchie,Emily Stone,Ainsley Walsh,Clement Akoshile,Nguyen Xuan Anh,Rajasekhar Balasubramanian,Jeffrey R. Brook,Fatimah D. Qonitan,Jinlu Dong,D. Griffith,Kebin He,Brent N. Holben,Ralph A. Kahn,Nofel Lagrosas,Puji Lestari,Zongwei Ma,Amit Misra,Leslie K. Norford,Eduardo Quel,Abdus Salam,Bret A. Schichtel,Lior Segev,Sachchida Tripathi,Chien Wang,Chao Yu,Qiang Zhang,Yuxuan Zhang,Michael Brauer,Aaron Cohen,Mark D. Gibson,Yang Liu,J. Vanderlei Martins,Yinon Rudich,Randall V. Martin,Randall V. Martin +38 more
TL;DR: The surface particulate mAtter network (SPARTAN) is a long-term project that includes characterization of chemical and physical attributes of aerosols from filter samples collected worldwide.
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Chemical speciation of trace metals emitted from Indonesian peat fires for health risk assessment
Raghu Betha,Maharani Pradani,Puji Lestari,Umid Man Joshi,Jeffrey S. Reid,Rajasekhar Balasubramanian +5 more
TL;DR: In this article, chemical speciation (exchangeable, reducible, oxidizable, and residual fractions) of 12 trace metals (Al, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, Ti, V and Zn) was studied.
Journal ArticleDOI
Global Sources of Fine Particulate Matter: Interpretation of PM2.5 Chemical Composition Observed by SPARTAN using a Global Chemical Transport Model
Crystal L. Weagle,Graydon Snider,Chi Li,Aaron van Donkelaar,Sajeev Philip,Sajeev Philip,Paul Bissonnette,Jaqueline Burke,John Jackson,Robyn N. C. Latimer,Emily Stone,Ihab Abboud,Clement Akoshile,Nguyen Xuan Anh,Jeffrey R. Brook,Aaron Cohen,Jinlu Dong,Mark D. Gibson,D. Griffith,Kebin B. He,Brent N. Holben,Ralph A. Kahn,Christoph A. Keller,Christoph A. Keller,Jong Sung Kim,Nofel Lagrosas,Puji Lestari,Yeo Lik Khian,Yang Liu,Eloise A. Marais,J. Vanderlei Martins,Amit Kumar Misra,Ulfi Muliane,Rizki Pratiwi,Eduardo Quel,Abdus Salam,Lior Segev,Sachchida Nand Tripathi,Chien Wang,Qiang Zhang,Michael Brauer,Yinon Rudich,Randall V. Martin,Randall V. Martin +43 more
TL;DR: Simulation-measurement biases for ammonium nitrate and dust identify uncertainty in agricultural and crustal sources as well as insight into sources and processes that influence the global spatial variation in PM2.5 composition.