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Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using a high-resolution model simulation

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Frontiers of Environmental Science & Engineering 2022年第4期16卷 47-57页

作者： Hengrui Tao Jia Xing Gaofeng Pan Jonathan Pleim Limei Ran Shuxiao Wang Xing Chang Guojing Li Fei Chen Junhua Li Aviation University of Air Force Changchun 130022China School of Environment and State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Research Triangle Park Environmental Protection AgencyNC 27711USA East Remote Sensing Laboratory United States Department of AgricultureNC 20250USA Unit No.96941 of Chinese People's Liberation Army Beijing 100041China Unit No.31010 of Chinese People's Liberation Army Beijing 100081China

Anthropogenic heat emissions(AHE)play an important role in modulating the atmospheric thermodynamic and kinetic properties within the urban planetary boundary layer,particularly in densely populated megacities like Beijing.In this study,we estimate the AHE by using a Large-scale Urban Consumption of energY(LUCY)model and further couple LUCY with a high-resolution regional chemical transport model to evaluate the impact of AHE on atmospheric environment in Beijing.In areas with high AHE,the 2-m temperature(T_(2))increased to varying degrees and showed distinct diurnal and seasonal variations with maxima in night and winter.The increase in 10-m wind speed(WS_(10))and planetary boundary layer height(PBLH)exhibited slight diurnal variations but showed significant seasonal variations.Further,the systematic continuous precipitation increased by 2.1 mm due to the increase in PBLH and water vapor in upper air.In contrast,the precipitation in local thermal convective showers increased little because of the limited water vapor.Meanwhile,the PM_(2.5) reduced in areas with high AHE because of the increase in WS_(10) and PBLH and continued to reduce as the pollution levels increased.In contrast,in areas where prevailing wind direction was opposite to that of thermal circulation caused by AHE,the WS_(10) reduced,leading to increased PM_(2.5).The changes of PM_(2.5) illustrated that a reasonable AHE scheme might be an effective means to improve the performance of PM_(2.5) simulation.Besides,high AHE aggravated the O_(3) pollution in urban areas due to the reduction in NO_(x).

关键词： Anthropogenic heat emissions LUCY High-resolution meteorological parameters Air quality

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Comparative measurement of CO_(2),CH_(4)and CO at two traffic interjunctions having inflated vehicular flow in Delhi

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Journal of Environmental Sciences 2024年第7期141卷 314-329页

作者： Komal Daya Soni Khem Singh Shankar G.Aggarwal CSIR-National Physical Laboratory Dr.K.S.Krishnan MargNew Delhi 110012India Academy of Scientific&Innovative Research(AcSIR) Ghaziabad 201002India

Vehicular emissions are considered one of the major anthropogenic sources of greenhouse gases and poor air quality in metropolitan cities.This study aims to see the correlation of CO_(2),CH_(4),and CO through monitoring over a period from December 2020 to October 2021 covering three seasons’winter,summer,and monsoon at two different traffic locations of Delhi having different traffic volumes,road patterns,and traffic management.The annual average morning concentration of CO_(2),CH_(4)and CO was found(533±105),(7.3±3.1),(10.7±3.0)ppm at Najafgarh and(480±70),(5.2±1.8),(7.8±2.8)ppm at Rajendra Place,respectively.A relationship between concentration of all three gases and meteorological parameters such as temperature,humidity,wind speed and wind direction has also been investigated using Pearson correlation coefficient and pollution rose diagram.A comparable pattern in concentration was observed for all three gases in spatial(location)and temporal(diurnal)distribution.The concentration trend of CO_(2)in different seasons is winter>summer>monsoon,while in the case of CH_(4)winter=summer>monsoon but not any seasonal trend was noted in CO case.It is observed that CO_(2)has a good relation with CO(a tracer for vehicular emission)in terms of diurnal variation,whereas,CH_(4)does not represent a relation with CO and CO_(2)diurnally,suggesting that vehicles are the source of CO_(2)but not much contributing to other greenhouse gases like CH_(4).

关键词： Vehicular emission Greenhouse gases Harmful pollutants meteorological parameters

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A novel diurnal and seasonal variation analysis of BTEX in Bengaluru urban area

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Research in Cold and Arid Regions 2024年第1期16卷 14-19页

作者： H.N.Sowmya M.Dinamani G.P.Shivashankara H.K.Ramaraju B.S.Surendra Vijaya V.Shanbhag R.Prajwal Department of Civil Engineering Dayananda Sagar College of EngineeringBangalore 560078India Department of Chemistry Dayananda Sagar College of EngineeringBangalore 560078India Department of Physics GFGCVijayanagarBengaluru 560040India

In the urban atmosphere of Bengaluru, various volatile organic compounds(VOCs), particularly Benzene,Toluene, Ethylbenzene, and Xylene(BTEX), have shown an increasing trend in concentration. The present research was conducted during summer and monsoon seasons, focusing on Kadubeesanahalli, a high-traffic area within the Bengaluru Metropolitan City. Hourly sample data was collected using a BTEX analyzer(Model GC955-600) and subsequently transformed into daily, monthly, and seasonal values. The study revealed distinct patterns in benzene concentrations. Benzene levels were lowest during the early morning hours, specifically from 1:00 a.***.to 7:00 a.m.. Concentrations then increased from 7:00 a.m. to 9:00 a.m. and again from 4:00 p.m. to 11:00 p.m.,corresponding to the morning and evening peak traffic hours. However, between 10:00 a.m. and 4:00 p.m., the concentration decreased due to reduced traffic levels. These diurnal variations in benzene concentration are influenced by meteorological parameters. Comparing the two seasons, higher concentrations of Benzene, EthylBenzene, and MP-xylene were observed during the summer season. This increase is attributed to the elevated temperatures during summer, which promote the vaporization of BTEX compounds. Conversely, lower BTEX concentrations were recorded during the monsoon season due to the wet deposition process. The observed positive correlation(r > 0.5) among BTEX parameters strongly suggests a common source, most likely originating from vehicular emissions.

关键词： BTEX Summer variation meteorological parameters Correlation

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Impact of Lockdown Measures and meteorological parameters on the COVID-19 Incidence and Mortality Rate in Bangladesh

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Infectious Microbes & Diseases 2021年第1期3卷 41-48页

作者： Md.Ashik Imran Imad Uddin Noor Ajit Ghosh Department of Biochemistry and Molecular Biology Shahjalal University of Science and TechnologySylhet-3114Bangladesh.

The coronavirus disease 2019(COVID-19)pandemic has become a public health crisis and a global catastrophe for human societies.In the absence of a vaccine,non-pharmaceutical interventions have been implemented across the world to reduce COVID-19 transmission.Recently,several studies have articulated the influence of meteorological parameters on COVID-19 infections in several countries.The purpose of this study was to investigate the effect of lockdown measures and meteorological parameters on COVID-19 daily confirmed cases and deaths in Bangladesh.Different parameters,such as case fatality rate,recovery rate,number of polymerase chain reaction tests,and percentages of confirmed cases were calculated for data covering March to September 2020.The meteorological data include daily average temperature,humidity,and wind speed,and their effects on COVID-19 data were analyzed after 0,3,7,and 14 days.A linear regression analysis revealed that all the studied meteorological parameters were positively correlated with the daily new cases and deaths in Bangladesh,while the highest correlations were observed for the 14 days incubation period.These results provide useful implications for the healthcare authorities to contain the pandemic in Bangladesh and beyond.

关键词： Bangladesh case fatality rate COVID-19 lockdown meteorological parameters non-pharmaceutical intervention

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Modelling of Solar Power Production in Dry and Rainy Seasons Using Some Selected meteorological parameters

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Energy and Power Engineering 2022年第7期14卷 274-290页

作者： Nicholas N. Tasie Friday B. Sigalo Valentine B. Omubo-Pepple Chigozie Israel-Cookey Department of Physics Rivers State University Port Harcourt Nigeria

In this paper, we deployed the multiple linear regression method in developing a solar power output model for solar energy production, where the meteorological parameters are the independent variables. We fitted the model and found that the meteorological variables considered accounted for 94.88% and 99.61% of the power output in both dry and rainy seasons. We observed from the work that the solar panel performs well in all seasons but slightly better in the rainy seasons. This could be attributed to the washing away of dust particles from solar panels by the rain and higher operating temperature different from the specified manufactured temperature of 25°C. We observed that other factors such as the cloud slightly affect the optimal performance of the system. Panels inclined at an angle of 5° (Tilt) and facing south azimuth performs optimally, periodic washing of the surface of solar panels enhances optimal performance.

关键词： Solar Energy Solar Panel meteorological parameters Photovoltaic Cell Multiple Linear Regression

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Role of meteorological parameters in COVID-19 Pandemic Waves in Delhi, India

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Open Journal of Air Pollution 2023年第2期12卷 31-49页

作者： Deepak Gupta Xiaoli Duan School of Energy and Environmental Engineering University of Science and Technology Beijing Beijing China

In this study, the levels of meteorological parameters like maximum temperature (°F), relative temperature (°F), minimum temperature (°F), humidity (%), dew point (°F), wind speed (mph), rainfall (in), and air pressure (in) were analyzed for all three COVID-19 pandemic waves in the NCT of Delhi, India. After doing statistical analysis, the results showed that only a few parameters, like temperature (maximum, minimum, and relative), dew point, humidity, and air pressure, were linked to the start of COVID-19 pandemic waves, and rainfall had nothing to do with COVID-19 during any of the three waves. So, according to the results of this study, the Indian government should take strict steps to stop the spread of the fourth wave of COVID-19 and any other diseases that can spread in urban areas based on the meteorological conditions.

关键词： COVID-19 meteorological parameters SARS-CoV-2 Correlation

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The influence of calculation error of hourly marine meteorological parameter on building energy consumption calculation

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Frontiers of Architectural Research 2022年第5期11卷 981-991页

作者： Dalong Liu Tian Sun Yufei Han Xiuying Yan School of Architecture Xi'an University of Architecture and TechnologyXi'an 710055China

The ocean is a crucial area for future economic development.The marine environment has high energy-efficient and ecological requirements for building construction.meteorological parameters are the key basis for the analysis and design of building energy efficiency.The lack of meteorological parameters for energy efficiency,particularly hourly data,under oceanic climatic conditions is a universal problem.The appropriate calculation methods of hourly meteorological parameters under oceanic climatic conditions are explored in this study.The impact of the calculation errors of the hourly meteorological parameters on building energy consumption is also analyzed.Three key meteorological parameters are selected:temperature,humidity,and wind speed.Five hourly calculations methods,including linear interpolation,cubic spline interpolation,pieceated three-Hermite interpolation,Akima interpolation,and radial basis function interpolation,are selected to calculate the error of the difference method,with Xiamen,Haikou,and Sanya as the locations of meteorological research.Appropriate interpolation methods are selected for the three parameters,and the seasonal and regional characteristics of the errors of each parameter are compared.Different interpolation methods should be selected for different meteorological parameters in different seasons.The error data of the three parameters of different magnitudes are constructed.A quantitative relationship between the sum of squares due to error of the three meteorological parameters and the rate of change of cooling energy consumption is established.The hourly calculation errors of meteorological parameters have an important impact on the calculation of dynamic energy consumption.The energy consumption differences caused by the errors of different parameters are significant.Obvious regional and seasonal differences also exist.This research strengthens the research foundation of building energy consumption calculation under oceanic climate conditions.

关键词： Building energy efficiency Oceanic climate meteorological parameters Interpolation method Calculation error Dynamic energy simulation

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Impact of meteorological parameters and gaseous pollutants（SO2 and NO2） on PM2.5 and PM10 mass concentrations during 2010 in Xi’an,China

Impact of meteorological parameters and gaseous pollutants（...

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十一届全国气溶胶会议暨第十届海峡两岸气溶胶技术研讨会

作者： Ping Wang JunJi Cao Yongming Han Yu Huang Shuncheng Lee State Key Lab of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of Sciences Department of Civil and Environmental Engineering The Hong Kong Polytechnic University

PM2.5 and PM10 mass from quartz-fiber weight were obtained in Xi’an for two weeks of every month corresponding to January, April, July and October during 2010 at upwind district of Gaoling county（GLC）, downwind background station of Black river reservoir（BRR） and four urban sites. Annual average PM2.5 and PM10 mass concentrations were 140.9 ± 108.9 μg m-3, 257.8 ± 194.7μg m-3, respectively. Seasonally, high concentrations in wintertime and low ones during summertime were attributed to seasonal variations of meteorological parameters and cycle changes of precursors（SO2 and NO2）. Stepwise Multiple Linear Regression（MLR） analysis indicated that relative humidity is the main factor influencing on meteorological parameter. Sulfate of SO2 oxidation products are concentrated in fine mode of PM2.5 and nitrate of NO2 oxidation in coarse mode of PM10. Entry MLR analysis suggested that SO2 and NO2 contributed 48.6% and 33.9%, and 17.5% and 0.7% of the total PM2.5 and PM10, respectively. Trajectory cluster results indicated long distance air mass from northwest in winter（82.1%） and in spring（67.9%）, and short distance from surrounding provinces in summer（62.5%） and autumn（73.2%）. Potential Source Contribution Function（PSCF） analysis showed three day Dust storm（DS） came from Taklimakan Desert in Xinjiang and Gobi Desert in Inner Mongolia in spring. Remote sensing retrieval（OMI UV Aerosol Index（AI）, OMI tropospheric NO2 column of Aura and Aerosol Optical Depth（AOD） of MODIS TERRA） from Giovanni online tools of NASA Goddard Earth Sciences Data and Information Services Center（GES DISC） were verified results of observation on the ground to some extents.

关键词： Xi’an PM 2.5 and PM 10 meteorological parameters gaseous pollutants MLR PSCF

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Evaluation of meteorological predictions by the WRF model at Barrow, Alaska and Summit, Greenland in the Arctic in April 2019

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Advances in Polar Science 2023年第4期34卷 352-367页

作者： ZHANG Tong CAO Le LI Simeng WANG Jiandong China meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory Nanjing University of Information Science&TechnologyNanjing 210044China

Accurate meteorological predictions in the Arctic are important in response to the rapid climate change and insufficient meteorological observations in the Arctic.In this study,we adopted a high-resolution Weather Research and Forecasting(WRF)model to simulate the meteorology at two Arctic stations(Barrow and Summit)in April 2019.Simulation results were also evaluated by using surface measurements and statistical parameters.In addition,weather charts during the studied time period were also used to assess the model performance.The results demonstrate that the WRF model is able to accurately capture the meteorological parameters for the two Arctic stations and the weather systems such as cyclones and anticyclones in the Arctic.Moreover,we found the model performance in predicting the surface pressure the best while the performance in predicting the wind the worst among these meteorological predictions.However,the wind predictions at these Arctic stations were found to be more accurate than those at urban stations in mid-latitude regions,due to the differences in land features and anthropogentic heat sources between these regions.In addition,a comparison of the simulation results showed that the prediction of meteorological conditions at Summit is superior to that at Barrow.Possible reasons for the deviations in temperature predictions between these two Arctic stations are uncertainties in the treatments of the sea ice and the cloud in the model.With respect to the wind,the deviations may source from the overestimation of the wind over the sea and at coastal stations.

关键词： Arctic WRF meteorological parameters synoptic patterns model assessment

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Dry deposition velocity of total suspended particles and meteorological influence in four locations in Guangzhou,China

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Journal of Environmental Sciences 2012年第4期24卷 632-639页

作者： Leifu Chen Shaolin Peng Jingang Liu Qianqian Hou State Key Laboratory of Biocontrol School of Life SciencesSun Yat-sen UniversityGuangzhou 510006China

Dry deposition velocity of total suspended particles （TSP） is an effective parameter that describes the speed of atmospheric particulate matter deposit to the natural surface. It is also an important indicator to the capacity of atmosphere self-depuration. However, the spatial and temporal variations in dry deposition velocity of TSP at different urban landscapes and the relationship between dry deposition velocity and the meteorological parameters are subject to large uncertainties. We concurrently investigated this relationship at four different landscapes of Guangzhou, from October to December of 2009. The result of the average dry deposition velocity is （1.49 ± 0.77）, （1.44 ± 0.77）, （1.13 ±0.53） and （1.82± 0.82） cm/sec for urban commercial landscape, urban forest landscape, urban residential landscape and country landscape, respectively. This spatial variation can be explained by the difference of both particle size composition of TSP and meteorological parameters of sampling sites. Dry deposition velocity of TSP has a positive correlation with wind speed, and a negative correlation with temperature and relative humidity. Wind speed is the strongest factor that affects the magnitude of TSP dry deposition velocity, and the temperature is another considerable strong meteorological factor. We also find out that the relative humidity brings less impact, especially during the dry season. It is thus implied that the current global warming and urban heat island effect may lead to correlative changes in TSP dry deposition velocity, especially in the urban areas.

关键词： dry deposition velocity total suspended particles urban landscapes meteorological parameters

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