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51.
Assessment of indoor air quality (IAQ) in classrooms of school buildings is of prime concern due to its potential effects on student??s health and performance as they spend a substantial amount of their time (6?C7 h per day) in schools. A number of airborne contaminants may be present in urban school environment. However, respirable suspended particulate matter (RSPM) is of great significance as they may significantly affect occupants?? health. The objectives of the present study are twofold, one, to measure the concentrations of PM10 (<10 $\upmu $ m), PM2.5 (<2.5 $\upmu $ m), and PM1.0 (<1.0 $\upmu $ m) in naturally ventilated classrooms of a school building located near a heavy-traffic roadway (9,755 and 4,296 vehicles/hour during weekdays and weekends, respectively); and second, to develop single compartment mass balance-based IAQ models for PM10 (NVIAQMpm10), PM2.5 (NVIAQMpm2.5), and PM1.0 (NVIAQMpm1.0) for predicting their indoor concentrations. Outdoor RSPM levels and classroom characteristics, such as size, occupancy level, temperature, relative humidity, and CO2 concentrations have also been monitored during school hours. Predicted indoor PM10 concentrations show poor correlations with observed indoor PM10 concentrations (R 2 = 0.028 for weekdays, and 0.47 for weekends). However, a fair degree of agreement (d) has been found between observed and predicted concentrations, i.e., 0.42 for weekdays and 0.59 for weekends. Furthermore, NVIAQMpm2.5 and NVIAQMpm1.0 results show good correlations with observed concentrations of PM2.5 (R 2 = 0.87 for weekdays and 0.9 for weekends) and PM1.0 (R 2 = 0.86 for weekdays and 0.87 for weekends). NVIAQMpm10 shows the tendency to underpredict indoor PM10 concentrations during weekdays as it does not take into account the occupant??s activities and its effects on the indoor concentrations during the class hours. Intense occupant??s activities cause resuspension or delayed deposition of PM10. The model results further suggests conductance of experimental and physical simulation studies on dispersion of particulates indoors to investigate their resuspension and settling behavior due to occupant??s activities/movements. The models have been validated at three different classroom locations of the school site. Sensitivity analysis of the models has been performed by varying the values of mixing factor (k) and newly introduced parameter R c. The results indicate that the change in values of k (0.33 to 1.00) does not significantly affect the model performance. However, change in value of R c (0.001 to 0.500) significantly affects the model performance. 相似文献
52.
Goyal Keshav Goel Harsh Baranwal Pritika Dixit Aman Khan Fahad Jha Niraj Kumar Kesari Kavindra Kumar Pandey Pratibha Pandey Avanish Benjamin Mercilena Maurya Ankit Yadav Vandana Sinh Rana Suryauday Tanwar Pranay Upadhyay Tarun Kumar Mittan Sandeep 《Environmental science and pollution research international》2022,29(41):61993-62013
Environmental Science and Pollution Research - Environmental mutagens are chemical and physical substances in the environment that has a potential to induce a wide range of mutations and generate... 相似文献
53.
Goyal Shivam Garg Dixit Luthra Sunil 《Environment, Development and Sustainability》2022,24(4):5195-5224
Environment, Development and Sustainability - Scarcity of natural resources and increasing level of pollution have put the survival of human in trouble. This situation has compelled the world to... 相似文献
54.
Umapathi Akhela Kumawat Mamta Daima Hemant Kumar 《Environmental Chemistry Letters》2022,20(1):445-468
Environmental Chemistry Letters - Nanotechnology has revolutionized the field of biomedical sciences with smart approaches of imaging and treatment. This transformation has led to the development... 相似文献
55.
Antil Monika Singh Surinder Bhagat Mamta Vilvas Vishal Sundaramurthy Suresh 《Environmental science and pollution research international》2022,29(48):72279-72293
Environmental Science and Pollution Research - The objective of this study deals with column optimization of adsorption-based on removal of arsenite ion using rice husk. The parameters affecting... 相似文献