@article{islam_toha_islam_ahmed_2022, title={The association between particulate matter concentration and meteorological parameters in Dhaka, Bangladesh}, volume={134}, ISSN={["1436-5065"]}, DOI={10.1007/s00703-022-00898-2}, number={4}, journal={METEOROLOGY AND ATMOSPHERIC PHYSICS}, author={Islam, Nafisa and Toha, Tarik Reza and Islam, Mohammad Maksimul and Ahmed, Tanvir}, year={2022}, month={Aug} }
 @article{afrin_islam_ahmed_2021, title={A Meteorology Based Particulate Matter Prediction Model for Megacity Dhaka}, volume={21}, ISSN={["2071-1409"]}, DOI={10.4209/aaqr.2020.07.0371}, abstractNote={ABSTRACT 

Dhaka, the capital of Bangladesh, is one of the megacities in the world with the worst air quality. In this study, we develop statistical models for predicting particulate matter (PM) concentration in ambient air of Dhaka using meteorological and air quality data from 2002 to 2004 of a continuous air quality monitoring station (CAMS). Model for finer fraction of PM (PM2.5) explains up to 57% variability of daily PM2.5 concentration, whereas model for coarser fraction (PM2.5-10) explains up to 35% of its variability, indicating that PM2.5 is influenced more by meteorology than PM2.5-10. Temperature, wind speed, and wind direction account for 94% of total PM2.5 variability explained by the model, while relative humidity contributes to 75% of total PM2.5-10 variability. Inclusion of PM lag effect increases models’ predictive power by 4-16%. In general, our developed models show promising performance in capturing the seasonal variability of Dhaka’s PM concentration, although overestimate the low concentrations during wet season (April to September). We validate these models using a recent dataset (2013-2017) from the same monitoring site, in which modeled PM show strong positive correlations with observed concentrations (r = 0.81 and 0.76 for PM2.5 and PM2.5-10 respectively). Models also exhibit strong predictive power in forecasting PM levels of two other CAMSs in Dhaka. Thus, the developed models have potentials to explain the temporal and spatial variability of daily PM within Dhaka. These models can be helpful to policymakers as they can predict daily PM at any location of Dhaka with reasonable accuracy if daily meteorological data and previous day’s PM concentration are available. The effect of climate change scenarios on air pollution dynamics of Dhaka can also be assessed using these models.}, number={4}, journal={AEROSOL AND AIR QUALITY RESEARCH}, author={Afrin, Sadia and Islam, Mohammad Maksimul and Ahmed, Tanvir}, year={2021}, month={Apr} }
 @article{afrin_islam_rahman_2021, title={Adequacy assessment of an urban drainage system considering future land use and climate change scenario}, volume={12}, ISSN={["2408-9354"]}, DOI={10.2166/wcc.2020.369}, abstractNote={Abstract}, number={5}, journal={JOURNAL OF WATER AND CLIMATE CHANGE}, author={Afrin, S. and Islam, M. M. and Rahman, M. M.}, year={2021}, month={Aug}, pages={1944–1957} }
 @article{islam_wathore_zerriffi_marshall_bailis_grieshop_2021, title={In-use emissions from biomass and LPG stoves measured during a large, multi-year cookstove intervention study in rural India}, volume={758}, ISSN={["1879-1026"]}, url={https://doi.org/10.1016/j.scitotenv.2020.143698}, DOI={10.1016/j.scitotenv.2020.143698}, abstractNote={We conducted an emission measurement campaign as a part of a multiyear cookstove intervention trial in two rural locations in northern and southern India. 253 uncontrolled cooking tests measured emissions in control and intervention households during three ~3-month-long measurement periods in each location. We measured pollutants including fine particulate matter (PM2.5), organic and elemental carbon (OC, EC), black carbon (BC) and carbon monoxide (CO) from stoves ranging from traditional solid fuel (TSF) to improved biomass stoves (rocket, gasifier) to liquefied petroleum gas (LPG) models. TSF stoves showed substantial variability in pollutant emission factors (EFs; g kg−1 wood) and optical properties across measurement periods. Multilinear regression modeling found that measurement period, fuel properties, relative humidity, and cooking duration are significant predictors of TSF EFs. A rocket stove showed moderate reductions relative to TSF. LPG stoves had the lowest pollutant EFs, with mean PM2.5 and CO EFs (g MJdelivered−1) >90% lower than biomass stoves. However, in-home EFs of LPG were substantially higher than lab EFs, likely influenced by non-ideal combustion performance, emissions from food and possible influence from other combustion sources. In-home emission measurements may depict the actual exposure benefits associated with dissemination of LPG stoves in real world interventions.}, journal={SCIENCE OF THE TOTAL ENVIRONMENT}, publisher={Elsevier BV}, author={Islam, Mohammad Maksimul and Wathore, Roshan and Zerriffi, Hisham and Marshall, Julian D. and Bailis, Rob and Grieshop, Andrew P.}, year={2021}, month={Mar} }
 @article{sinha_islam_grieshop_2021, title={Influence of Stove, Fuel, and Oxidation Flow Reactor Conditions on Aging of Laboratory-Generated Cookstove Emissions}, volume={5}, ISSN={["2472-3452"]}, url={https://doi.org/10.1021/acsearthspacechem.1c00081}, DOI={10.1021/acsearthspacechem.1c00081}, abstractNote={Oxidation flow reactor (OFR) experiments are a useful way to explore secondary organic aerosol (SOA) production during photochemical aging of biomass combustion emissions. Here, we extend previous work by studying SOA formed by emissions from three cookstoves used in low-income settings (Philips, Chulika, and three-stone fire (TSF)) while varying the fuel type (red Oak and loblolly Pine) and OFR operating conditions. Differences in SOA formation across fuel types were relatively minor, with SOA formation increases of <30% for Oak vs Pine experiments. Mass spectral fragments (f44, f43, and f60) from aged Oak and Pine emissions generally spanned the same continuum with combustion technology playing a larger role in dictating aged OA evolution than the fuel type. Combustion technology also has a much greater influence on net aerosol climate forcing relative to interfuel differences. The OFR was operated under "wet" and "dry" conditions, to study the impacts of more or less tropospherically relevant oxidation conditions on SOA formation, respectively. SOA formation did not vary dramatically across OFR conditions and was larger by up to 27% for the TSF and 5% for the Philips for "wet" operation. OA spectral differences were greater, with f44 up to 28% greater for "wet" operating conditions at similar levels of aging. Overall, changes in reactor operation were not sufficient to alter major conclusions from previous work where the OFR was operated under conditions similar to the "dry" conditions applied here. Positive matrix factorization analyses on SOA spectra identified two factors, a transient oxidation factor and a uniformly aged factor, which were similar across experiments.}, number={6}, journal={ACS EARTH AND SPACE CHEMISTRY}, publisher={American Chemical Society (ACS)}, author={Sinha, Aditya and Islam, Mohammad Maksimul and Grieshop, Andrew}, year={2021}, month={Jun}, pages={1575–1590} }
 @article{islam_afrin_tarek_rahman_2021, title={Reliability and financial feasibility assessment of a community rainwater harvesting system considering precipitation variability due to climate change}, volume={289}, ISSN={["1095-8630"]}, DOI={10.1016/j.jenvman.2021.112507}, abstractNote={This study proposes a community rainwater harvesting (RWH) system as an alternative water supply solution for Paikgacha, a water-scarce coastal urban area in Bangladesh. Although individual household-based RWH systems have been implemented in many areas in Bangladesh, to date, no study has been conducted designing a community RWH system and assessing its reliability and financial feasibility. This study employs historical observed and available climate model predicted future rainfall data into stormwater management model (SWMM) for rainfall-runoff simulation of the community RWH, and compares SWMM's performance with rational formula based estimation. We then calculate volumetric and time reliability of the proposed system and assess its financial viability. We observe good agreement in reliability curves generated by SWMM and rational formula-based model. Under the historical rainfall scenario, our proposed community RWH shows up to 99% reliability for 100 L per day household demand, given that proper community size and storage tank size are chosen. Predicted rainfall pattern of 2041–2070 period shows similar reliability-tank size relation to that of historical observed rainfall; however, predicted high precipitation intensity during 2021–2040 and 2071–2100 seem to assist the system in attaining higher reliability. Cost-benefit analysis indicates the financial viability of the proposed system. Finally, we develop a nomograph incorporating interactive factors of RWH, which would ease decision making by the policymakers regarding the implementation of community RWH.}, journal={JOURNAL OF ENVIRONMENTAL MANAGEMENT}, author={Islam, Mohammad Maksimul and Afrin, Sadia and Tarek, Mehedi Hasan and Rahman, Md Mujibur}, year={2021}, month={Jul} }