@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={Dhaka, the capital of Bangladesh, has been experiencing severe water-logging and urban flooding in the last few decades. In this paper, we estimate the peak storm runoff of Hatirjheel-Begunbari canal – the largest drainage system of the city – under different operational, land use and climate scenarios (2013, 2025 and 2040). Our method includes digital elevation model (DEM) reconditioning, watershed delineation, and development of future land use scenario. We apply HEC-RAS to check the adequacy of Begunbari canal cross-sections to carry peak runoff for the scenarios considered here. The Hatirjheel-Begunbari system is found to drain stormwater from ∼25% of the city. Within the system, built-up areas are increasing linearly by 0.8 Km/year, whereas water body and wetlands are decreasing exponentially, which might increase the runoff coefficient by 11% in 2040 relative to 2013. Climate-induced change in rainfall intensity along with land-use change show three times higher runoff in 2040 than in 2013. Around 58% of canal cross-sections appear to be overflown at both banks while carrying a 5-year return period peak runoff under the 2013 scenario. For future scenarios, all sections seem to cause an overflow, which is alarming.}, 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}, 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} }