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Journal articles on the topic 'Air variables'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Shelestov, Andrii, Andrii Kolotii, Tatiana Borisova, et al. "Essential variables for air quality estimation." International Journal of Digital Earth 13, no. 2 (2019): 278–98. http://dx.doi.org/10.1080/17538947.2019.1620881.

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Iqtiar, Md Siddique. "Examining the Variables in Dynamic Geographic Information Systems (GIS) Analysis." European Journal of Advances in Engineering and Technology 11, no. 4 (2024): 96–105. https://doi.org/10.5281/zenodo.11312607.

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In today's rapidly evolving world, understanding and managing land use and land cover dynamics are of paramount importance for addressing pressing environmental, social, and economic challenges. This abstract provides a comprehensive overview of the key themes, methodologies, findings, and implications of research on land use and land cover change. Drawing upon interdisciplinary perspectives from geography, environmental science, remote sensing, and policy analysis, the abstract highlights the interconnected nature of land systems and the multifaceted drivers of land cover change. It explores

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Sidiq, Ben, Mobolaji Stephens, and Wilfred Ukpere. "Significant variables currently influencing air travelers’ preference for domestic airlines in Nigeria." Tourism and Travelling 3, no. 1 (2021): 16–24. http://dx.doi.org/10.21511/tt.3(1).2021.03.

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In recent years domestic airlines are improving their services, and the major airlines in Nigeria are ahead of others based on superior strategies; in fact, some airlines are not fully utilized, which affects their profitability, while others are highly utilized. Market dynamics and regulatory forces are the key variables that influence airline attributes, features, and developments, but this is most evident where each airline competes for passengers despite the different route choices and airports of departure. This study aimed to examine the significant variables that are currently influenci

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Seneviratne, Prianka N., and Nathalie Martel. "Variables influencing performance of air terminal buildings." Transportation Planning and Technology 16, no. 1 (1991): 3–28. http://dx.doi.org/10.1080/03081069108717468.

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Jia, Beisi, Sibei Liu, and Michelle Ng. "Air Quality and Key Variables in High-Density Housing." Sustainability 13, no. 8 (2021): 4281. http://dx.doi.org/10.3390/su13084281.

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The high-rise and high-density housing development in nearby industry relocations is a general urban sprawl phenomenon in fast-growing cities in Southern China. Aside from the low price, the improved air quality in the suburban area is always a reason for home buyers, but the consistent monitoring of air quality and knowledge about how to plan housing estates are lacking. This paper investigates the relationship between the housing morphology and the air quality in three housing estates in Shenzhen. This research utilizes on-site monitoring equipment to examine negative air ions (NAIs) and fin

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Kim, Jae Hee, and Ji Won Lim. "Multivariate Analysis between Air Pollutants and Meteorological Variables in Seoul." Key Engineering Materials 277-279 (January 2005): 492–96. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.492.

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Multivariate analysis was conducted to analyze the relationship between air pollutants and meteorological variables measured in Seoul from January 1 to December 31, 1999. The first principal component showed the contrast effect between O3 and the other pollutants. The second principal component showed the contrast effect between CO, SO2, NO2, and O3, PM10, TSP. Based on the cluster analysis, three clusters represented different air pollution levels, seasonal characteristics of air pollutants, and meteorological conditions. Discriminant analysis with Air Environment Index (AEI) was carried out

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Hwang, Yeungeun, Dayoung Kang, Myunghwan Na, and Sanghoo Yoon. "Insolation prediction using air pollutants and meteorological variables." Journal of the Korean Data And Information Science Society 32, no. 5 (2021): 997–1005. http://dx.doi.org/10.7465/jkdi.2021.32.5.997.

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Bura, Romie Oktovianus, Yudki Utama, and Muhammad Farraz. "Development of Optimization Methodology for Short Range Air-to-Air Missile." INSIST 3, no. 1 (2018): 111. http://dx.doi.org/10.23960/ins.v3i1.111.

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This paper illustrates the development and the use of conceptual sizing tools integrated with optimization tools. The conceptual sizing tool is based on empirical and simple analytical calculation that simple and robust enough for wide range of inputs. The genetic algorithm optimization method then used to explore the global optimum for given variables. System response analysis is conducted to gain insight about the sensitivity of objective function because of design variables.

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Johnbosco Emeka Umunnakwe, ThankGod Kelechi Ezirim, and Chris Onyeka Ekweozor. "Influence of meteorological variables on air characteristics of Onitsha, Nigeria." Open Access Research Journal of Engineering and Technology 2, no. 1 (2022): 001–11. http://dx.doi.org/10.53022/oarjet.2022.2.1.0021.

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This study evaluated the influence of prevailing meteorological characteristics on the concentration of air parameters in Onitsha metropolis, Anambra State, Nigeria in 2019. The information is required in meteorological forecasts, wind climatology, weather characteristics for planning control measures which might improve or worsen air quality, essential to evaluating air pollution control in the study area. A total of forty sampling points and one control point were selected and used for the study across Onitsha metropolis. The sampling points were selected in accordance with WHO guidelines fo

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Soeswanto, Bambang, Ninik Lintang Edi Wahyuni, Ghusrina Prihandini, Yusuf Pratama, Taufik Akbar Firmansyah, and Dewi Widyabudiningsih. "Effect of Process Variables and Zeolite Adsorbent in Coffee Bean Drying." Current Journal: International Journal Applied Technology Research 4, no. 1 (2023): 29–40. http://dx.doi.org/10.35313/ijatr.v4i1.100.

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Green coffee beans to be stored for transportation must meet storage quality standards, especially the maximum moisture content of 12.5%, so the drying process must be carried out to achieve quality standards, but still economical. The study aims to obtain optimum operating conditions on the drying of Arabica-type coffee beans using a fluidized bed dryer assisted by zeolite adsorbents in a separated fluidized bed prior to heating, as well as calculating the energy consumption of blowers and air heater. The operating conditions were varied, namely air flow rate of 1.79 – 2.29 m/s, air temperatu

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Huang, Anning, Yerubandi R. Rao, and Weitao Zhang. "On Recent Trends in Atmospheric and Limnological Variables in Lake Ontario." Journal of Climate 25, no. 17 (2012): 5807–16. http://dx.doi.org/10.1175/jcli-d-11-00495.1.

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Abstract The surface air and water temperatures increased at all seasonal and annual time scales during the last 40 yr in Lake Ontario. The annual mean air and surface water temperatures have increased by 1.43° ±0.39° and 1.26° ±0.32°C, respectively, over 1970–2009. The air temperature increased at a faster rate than the surface water temperature in winter and autumn, whereas in spring and summer the surface water temperature warmed faster than the air temperature. The length of summer stratified season has increased by 12 ± 2 days since the early 1970s due to the increase in water temperature

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Tayeb Mustamin, Nasrullah, Sayyid Quraisy, and Aswar Masri. "The Influence of Latitude on the Climatic Characteristics of Classroom in Campus 1 and Campus 2 of Khairun University in Achieving Adaptive Thermal Comfort." Technium: Romanian Journal of Applied Sciences and Technology 17 (November 1, 2023): 244–48. http://dx.doi.org/10.47577/technium.v17i.10083.

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Microclimate variables are important factors that affect adaptive thermal comfort. These factors include air temperature, solar radiation, air humidity, and wind speed. This study focuses on discussing microclimate variables, specifically air temperature and air humidity. This is based on previous research indicating that the most influential climate variables are air temperature, solar radiation, and air humidity. This study is a field research aimed at comparing air temperature and air humidity between campus 1 and campus 2 of Khairun University, due to differences in geographical elevation.

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Hermawan, Hermawan. "Studi lapangan variabel iklim rumah vernakular pantai dan gunung dalam menciptakan kenyamanan termal adaptif." Jurnal Arsitektur ZONASI 1, no. 2 (2018): 96. http://dx.doi.org/10.17509/jaz.v1i2.12467.

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Microclimate variables are one of the variables that affect adaptive thermal comfort. The microclimate variables are air temperature, solar radiation temperature, air humidity and wind speed. In this study the discussion of microclimate variables is specific to air temperature and air humidity. This is based on other studies which mention that the most influential climate variables are air temperature and humidity. This research is a field study that will compare air temperature and humidity in coastal and mountain areas. Measurements are carried out in 3 seasons, namely the dry season to rain

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Butuk, N., and J. P. Pemba. "Computing CHEMKIN Sensitivities Using Complex Variables." Journal of Engineering for Gas Turbines and Power 125, no. 3 (2003): 854–58. http://dx.doi.org/10.1115/1.1469006.

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This paper discusses an accurate numerical approach based on complex variables for the computation of the Jacobian matrix of complex chemical reaction mechanisms. The Jacobian matrix is required in the calculation of low dimensional manifolds during kinetic chemical mechanism reduction. The approach is suitable for numerical computations of large-scale problems and is more accurate than the finite difference approach of computing Jacobians. The method is demonstrated via a nonlinear reaction mechanism for the synthesis of Bromide acid and a H2/Air mechanism using a modified CHEMKIN package. Th

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Dawamudin, Amin. "ANALYSIS OF THE IMPACT OF CLIMATE VARIABLES ON BANJARBARU CITY RAINFALL." CERUCUK 8, no. 1 (2024): 29. https://doi.org/10.20527/crc.v8i1.13374.

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Changes in weather and climate have a negative impact on agricultural production, fisheries, and development in Banjarbaru City. An important indicator of weather and climate is rain. Using multiple regression analysis modeling, the goal of this study was to determine the magnitude of climate influences (air pressure, air temperature, air humidity, and wind speed) on rainfall, as well as the relationship between free variables and bound variables. A regression and significance analysis was performed using the SPSS program, with data on daily climate variables averaging 5 years. Multiple linear

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Gidarjati, Merita, Muhammad Ma’arij Harfadli, and Toru Matsumoto. "Current Update on Air Pollution or Quality and Meteorological Variables: A Review and Bibliometric Analysis." ENERGY, ENVIRONMENT & STORAGE 4, no. 3 (2024): 71–78. http://dx.doi.org/10.52924/enrm8997.

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The study aims to investigate the existing understanding of air pollution and meteorological variables, with the goal of identifying and assessing research patterns, areas where research is lacking, and variables that are important for air pollution research. The Scopus Database is utilized as a data source, specifically searching for literature published in the last 10 years using keywords "Air pollution" or "Air quality" and "Meteorological variables". The study utilizes VOSviewer software to examine the data, emphasizing noteworthy trends in research on air pollution and climatic factors. T

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Almady, Saad S., Saleh M. Al-Sager, Abdulrahman A. Al-Janobi, Samy A. Marey, and Abdulwahed M. Aboukarima. "Evaluation of Air Pollution Levels in Agricultural Settings Using Integrated Weather Variables and Air Pollutants." Applied Sciences 14, no. 13 (2024): 5713. http://dx.doi.org/10.3390/app14135713.

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Research on the quality of the air in rural areas is essential for determining base emissions of air pollutants, evaluating the effects of dust pollutants particular to rural areas, modeling the dispersion of pollutants, and developing appropriate pollution mitigation systems. The absence of a systematic review based on the assessment of air quality levels in agricultural settings based on integrated weather variables and air pollutants in the literature draws attention to the deficiencies and the necessity of further research in this area. Hence, our study aimed to develop an Arduino monitori

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18

Severo, Lennon Gabriel Ribas, Igor Silva do Amaral, William Stefan de Oliveira, et al. "Associations between air quality, meteorological variables, and respiratory disease hospitalizations." Caderno Pedagógico 22, no. 6 (2025): e15549. https://doi.org/10.54033/cadpedv22n6-140.

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Air pollution plays a crucial role in environmental health and is linked to various respiratory diseases. This study aims to investigate the associations between air quality, meteorological variables, and the number of hospitalizations due to respiratory diseases in adults and the elderly. The study was conducted in Novo Hamburgo, in the Metropolitan Region of Porto Alegre, RS. Pollutants such as NO₂, CO, O₃, PM2.5, and PM₁₀ were analyzed, along with average temperature, minimum temperature, maximum temperature, and relative humidity. Health information on respiratory diseases was obtained fro

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19

Seong, Nam-Chul, Jee-Heon Kim, and Wonchang Choi. "Optimal Control Strategy for Variable Air Volume Air-Conditioning Systems Using Genetic Algorithms." Sustainability 11, no. 18 (2019): 5122. http://dx.doi.org/10.3390/su11185122.

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This study is aimed at developing a real-time optimal control strategy for variable air volume (VAV) air-conditioning in a heating, ventilation, and air-conditioning (HVAC) system using genetic algorithms and a simulated large-scale office building. The two selected control variables are the settings for the supply air temperature and the duct static pressure to provide optimal control for the VAV air-conditioning system. Genetic algorithms were employed to calculate the optimal control settings for each control variable. The proposed optimal control conditions were evaluated according to the

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Cuéllar Guarnizo, Jairo Alberto, Lauren Genith Isaza Domínguez, and Eduardo Jesús Hernández Alonso. "Correlation model between PM2.5 and atmospheric variables in the city of Villavicencio." Ingeniería Solidaria 18, no. 2 (2022): 1–16. http://dx.doi.org/10.16925/2357-6014.2022.02.09.

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Introduction: This article is the product of the research "Monitoring and Characterization of air quality in the downtown area of Villavicencio", carried out from 2018 to 2020 in Villavicencio - Colombia. Problem: Air quality directly impacts the health of the people who breathe it. Currently Villavicencio does not have enough monitoring stations, nor are there strategies to improve air quality. Objective: The main objective is to collect and analyse atmospheric and air quality information, to determinate the relationship between atmospheric variables and particulate matter. Methodology: Quant

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21

Hou, Kun, and Xia Xu. "Evaluation of the Influence between Local Meteorology and Air Quality in Beijing Using Generalized Additive Models." Atmosphere 13, no. 1 (2021): 24. http://dx.doi.org/10.3390/atmos13010024.

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Previous studies have confirmed the inextricable connection between meteorological factors and air pollutants. This study presents the complex nonlinear relationship between meteorological variables and four major air pollutants under high-concentration air pollution in Beijing. The generalized additive model combined with marginal effects is used for quantitative analysis. After controlling the confounding factors such as long-term trends, seasonality and spatio-temporal deviation, the final fitting results exhibit that temperature, relative humidity and visibility are the most significant me

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Odat, H., Y. Kanaan, M. Alali, and M. Al-Qudah. "Hearing results after stapedotomy for otosclerosis: comparison of prosthesis variables." Journal of Laryngology & Otology 135, no. 1 (2021): 28–32. http://dx.doi.org/10.1017/s0022215120002595.

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AbstractObjectiveTo evaluate the influence of different piston variables on hearing following stapedotomy.MethodsData were analysed in groups according to: piston material (titanium vs fluoroplastic), shaft diameter (0.4 mm vs 0.5 mm) and crimping style (manual crimping vs self-crimping). Pre- and post-operative average air–bone gap, air–bone gap difference, success rate and operative time were evaluated.Results and conclusionFifty-one patients (58 ears) were included. A post-operative air–bone gap of 10 dB or lower was achieved in 44 cases, with a success rate of 75.9 per cent; 52 cases (89.7

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Cogliani, Euro. "Air pollution forecast in cities by an air pollution index highly correlated with meteorological variables." Atmospheric Environment 35, no. 16 (2001): 2871–77. http://dx.doi.org/10.1016/s1352-2310(01)00071-1.

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Mendoza, Daniel L., Martin P. Buchert, Tabitha M. Benney, and John C. Lin. "The Association of Media and Environmental Variables with Transit Ridership." Vehicles 2, no. 3 (2020): 507–22. http://dx.doi.org/10.3390/vehicles2030028.

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Transportation systems are central to all cities, and city planners and policy makers take special interest in assuring these systems are efficient, functional, sustainable, and, increasingly, that they have a positive impact on human health. In addition, vehicular emissions are increasingly costly to cities due to congestion and its impact on public health. This study aims to show the associations between the media and environmental variables and associated transit ridership. By tracking media influence, we illustrated how media coverage and attention to an issue over time may impact public o

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Susilo, Yuvensius Sri, and Laurensius Farel Dwi Putranto. "Several variables affecting provincial Air Quality Index (AQI) in Indonesia 2012 – 2019." IOP Conference Series: Earth and Environmental Science 1180, no. 1 (2023): 012041. http://dx.doi.org/10.1088/1755-1315/1180/1/012041.

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Abstract The purpose of this study is to determine and analyze several variables that affect the Air Quality Index (AQI) in Indonesia in 2012 – 2019. The data used in this study is secondary data in the form of panel data related to the variables of AQI, circular economy, and digital economy in 34 provinces in Indonesia in the period 2012 – 2019. The secondary data used were retrieved from the Ministry of Environment and Forestry (KLHK), the Central Statistics Agency (BPS) and the Provincial Sanitation Office (DKK) in Indonesia. The analytical tool used in this research is static panel data ec

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Mahanta, SS Kalikinkar, Sharada Shrinivas Patil, Bhagirathi Mahanta, et al. "Influence of Meteorological Variables on Ambient Air Pollutants of a Coastal District in Eastern India." Oriental Journal Of Chemistry 37, no. 1 (2021): 194–203. http://dx.doi.org/10.13005/ojc/370127.

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The study of various air pollutants and meteorological parameters are very important for all the researchers. Baleswar was known to be a seaside Districts of Odisha which is the economic and cultural heart of Northern Odisha. The aim of this study is to measure the air pollutants, meteorological parameters and to enumerate the air pollution index at three specific sites (Sahadevkhunta, Mallikashpur, Rasalpur) according to CPCB procedures. The air pollutants analysed by supplying through specific absorbing reagents and the pollutants were analysed up to 3 year (2017, 2018 and 2019) with a regul

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Froidurot, S., I. Zin, B. Hingray, and A. Gautheron. "Sensitivity of Precipitation Phase over the Swiss Alps to Different Meteorological Variables." Journal of Hydrometeorology 15, no. 2 (2014): 685–96. http://dx.doi.org/10.1175/jhm-d-13-073.1.

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Abstract In most meteorological or hydrological models, the distinction between snow and rain is based only on a given air temperature. However, other factors such as air moisture can be used to better distinguish between the two phases. In this study, a number of models using different combinations of meteorological variables are tested to determine their pertinence for the discrimination of precipitation phases. Spatial robustness is also evaluated. Thirty years (1981–2010) of Swiss meteorological data are used, consisting of radio soundings from Payerne as well as present weather observatio

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Shintani, Yasushi, Soichiro Funaki, Naoko Ose, Takashi Kanou, Eriko Fukui, and Masato Minami. "Preoperative variables for predicting prolonged air leak following pulmonary resection." Journal of Thoracic Disease 11, S15 (2019): S1891—S1893. http://dx.doi.org/10.21037/jtd.2019.08.58.

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Brosy, Caroline, Karina Krampf, Matthias Zeeman, et al. "Simultaneous multicopter-based air sampling and sensing of meteorological variables." Atmospheric Measurement Techniques 10, no. 8 (2017): 2773–84. http://dx.doi.org/10.5194/amt-10-2773-2017.

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Abstract. The state and composition of the lowest part of the planetary boundary layer (PBL), i.e., the atmospheric surface layer (SL), reflects the interactions of external forcing, land surface, vegetation, human influence and the atmosphere. Vertical profiles of atmospheric variables in the SL at high spatial (meters) and temporal (1 Hz and better) resolution increase our understanding of these interactions but are still challenging to measure appropriately. Traditional ground-based observations include towers that often cover only a few measurement heights at a fixed location. At the same

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Feng, Huihui, Bin Zou, Jinyan Wang, and Xiaodong Gu. "Dominant variables of global air pollution-climate interaction: Geographic insight." Ecological Indicators 99 (April 2019): 251–60. http://dx.doi.org/10.1016/j.ecolind.2018.12.038.

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Russo, Ana, Frank Raischel, and Pedro G. Lind. "Air quality prediction using optimal neural networks with stochastic variables." Atmospheric Environment 79 (November 2013): 822–30. http://dx.doi.org/10.1016/j.atmosenv.2013.07.072.

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Amarasinghe, Priyanthi M., and A. Anandarajah. "Influence of fabric variables on clay–water–air capillary meniscus." Canadian Geotechnical Journal 48, no. 7 (2011): 987–95. http://dx.doi.org/10.1139/t11-018.

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The mechanical behavior of unsaturated clays is strongly governed by capillary water and the resulting capillary forces. In this paper, the influence of fabric variables on the air–water capillary meniscus between clay particles is studied using molecular dynamics. Considering a system of two clay particles, the fabric variables studied are the angle between particles, edge-to-face separation, clay–water contact length, and particle thickness. The molecular dynamic results are analyzed to determine the contact angle and radius of curvature of the meniscus. It is found that the values of the co

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Eghdamirad, Sajjad, Fiona Johnson, Fitsum Woldemeskel, and Ashish Sharma. "Quantifying the sources of uncertainty in upper air climate variables." Journal of Geophysical Research: Atmospheres 121, no. 8 (2016): 3859–74. http://dx.doi.org/10.1002/2015jd024341.

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Şen, Zekai, Abdüsselam Altunkaynak, and Mehmet Özger. "Space-time Interpolation by Combining Air Pollution and Meteorologic Variables." Pure and Applied Geophysics 163, no. 7 (2006): 1435–51. http://dx.doi.org/10.1007/s00024-006-0072-8.

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Mondol, MA, M. Hossain, S. Sultana, MA Islam, and P. Biswas. "Impact of air pollution in Mymensingh city of Bangladesh: focusing peoples’ perception." Progressive Agriculture 31, no. 3 (2021): 154–63. http://dx.doi.org/10.3329/pa.v31i3.52117.

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The present study was conducted to investigate the impact of air pollution in some selected areas of Mymensingh city. The relationship between independent variables (age, educational qualification, family size and communication exposure) with the basic idea and impact of air pollution (dependent variable) was investigated in this study. To conduct the study, two hundred (200) respondents were selected randomly from four study sites under Mymensingh city. Pearson's product-moment correlation coefficients were analyzed to examine the relationship between the concerned variables. The findings rev

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Ferrarezi, Rhuanito S., Alan L. Wright, Brian J. Boman, Arnold W. Schumann, Fred G. Gmitter, and Jude W. Grosser. "Protected Fresh Grapefruit Cultivation Systems: Antipsyllid Screen Effects on Environmental Variables inside Enclosures." HortTechnology 27, no. 5 (2017): 675–81. http://dx.doi.org/10.21273/horttech03790-17.

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Huanglongbing (HLB) disease is a threat to most citrus (Citrus sp.) producing areas and is associated with the bacterium Candidatus Liberibacter asiaticus. The disease is transmitted by the vector asian citrus psyllid [ACP (Diaphoria citri)]. Antipsyllid screen houses can potentially reduce and eliminate HLB development in young citrus plantings by excluding the insect vector. These structures are also anticipated to represent a new environmental platform to cultivate high-valued fresh citrus. The purpose of this investigation was to evaluate the effect of screen houses on excluding infective

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Kubiak-Wójcicka, Katarzyna, Patrik Nagy, Agnieszka Pilarska, and Martina Zeleňáková. "Trend Analysis of Selected Hydroclimatic Variables for the Hornad Catchment (Slovakia)." Water 15, no. 3 (2023): 471. http://dx.doi.org/10.3390/w15030471.

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This study examines the trends in air temperature, precipitation and flow rates over a 50-year observation period (1961–2010) and compares two periods, 1961–1985 and 1986–2010. The research was carried out in terms of annual and monthly values. The research area is the Hornad River in Slovakia. The main aim of the study was to examine the evolution of precipitation, air temperature and flows in the Hornad River catchment area, as well as to identify the regions (sub-catchments) most vulnerable to climate change. Increasing trends in air temperature in the years 1961–2010 were found to be stati

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Shohibul Manshur Al Ahmad, Ana, Suryanto Suryanto, and Sarjiyanto Sarjiyanto. "Decomposition of air pollution in Indonesia." BIO Web of Conferences 155 (2025): 04003. https://doi.org/10.1051/bioconf/202515504003.

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The impact of environmental damage and pollution on health and the economy has become a global concern in recent years, including in Indonesia. In Indonesia, the average number of deaths caused by air pollution is 123,000 yearly, and a decrease in life expectancy by 1.4 - 2.4 years by WHO guidelines. This study investigates the decomposition of air pollution (CO2 emissions) in Indonesia from 1995 to 2022. We imposed structural variables comprising urbanization, liberalization, and fossil-based energy. We also associate renewable energy and environmental policy stringency index to describe the

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Pan, Kai, Jiang Lu, Jiaren Li, and Zhenyi Xu. "A Hybrid Autoformer Network for Air Pollution Forecasting Based on External Factor Optimization." Atmosphere 14, no. 5 (2023): 869. http://dx.doi.org/10.3390/atmos14050869.

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Exposure to air pollution will pose a serious threat to human health. Accurate air pollution forecasting can help people to reduce exposure risks and promote environmental pollution control, and it is also an extremely important part of smart city management. However, the current deep-learning-based models for air pollution forecasting usually focus on prediction accuracy improvement without considering the model interpretability. These models usually fail to explain the complex relationships between prediction targets and external factors (e.g., ozone concentration (O3), wind speed, temperatu

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Zhang, Yongli. "Seasonal Disparity in the Effect of Meteorological Conditions on Air Quality in China Based on Artificial Intelligence." Atmosphere 12, no. 12 (2021): 1670. http://dx.doi.org/10.3390/atmos12121670.

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Air contamination is identified with individuals’ wellbeing and furthermore affects the sustainable development of economy and society. This paper gathered the time series data of seven meteorological conditions variables of Beijing city from 1 November 2013 to 31 October 2017 and utilized the generalized regression neural network optimized by the particle swarm optimization algorithm (PSO-GRNN) to explore seasonal disparity in the impacts of mean atmospheric humidity, maximum wind velocity, insolation duration, mean wind velocity and rain precipitation on air quality index (AQI). The results

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Wang, Hanyang, Dan Liu, Haiming Yu, Donghai Wang, and Jun Li. "Optimization of Microwave Coupled Hot Air Drying for Chinese Yam Using Response Surface Methodology." Processes 7, no. 10 (2019): 745. http://dx.doi.org/10.3390/pr7100745.

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The effect of microwave coupled hot air drying on rehydration ratio (RR) and total sugar content (TSC) of Chinese yam was investigated. Single factor test and response surface methodology were used for process parameter optimization with hot air temperature, hot air velocity, slice thickness, and microwave power density as variables and RR and TSC of dried products as responses. The effect of variables on RR followed the order: slice thickness > hot air temperature > microwave power density > hot air velocity. The effect of variables on TSC followed the order: slice thickness > mic

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Goulier, Laura, Bastian Paas, Laura Ehrnsperger, and Otto Klemm. "Modelling of Urban Air Pollutant Concentrations with Artificial Neural Networks Using Novel Input Variables." International Journal of Environmental Research and Public Health 17, no. 6 (2020): 2025. http://dx.doi.org/10.3390/ijerph17062025.

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Since operating urban air quality stations is not only time consuming but also costly, and because air pollutants can cause serious health problems, this paper presents the hourly prediction of ten air pollutant concentrations (CO2, NH3, NO, NO2, NOx, O3, PM1, PM2.5, PM10 and PN10) in a street canyon in Münster using an artificial neural network (ANN) approach. Special attention was paid to comparing three predictor options representing the traffic volume: we included acoustic sound measurements (sound), the total number of vehicles (traffic), and the hour of the day and the day of the week (t

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Kressner, Josephine D., and Laurie A. Garrow. "Lifestyle Segmentation Variables as Predictors of Home-Based Trips for Atlanta, Georgia, Airport." Transportation Research Record: Journal of the Transportation Research Board 2266, no. 1 (2012): 20–30. http://dx.doi.org/10.3141/2266-03.

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This research investigated the influence of demographic and socio-economic factors on air travel demand by using a unique data set purchased from a credit-reporting agency. Linear regression models based on lifestyle segmentation variables were used to predict air passenger trips for Hartsfield–Jackson International Airport in Atlanta, Georgia. The study focused on predicting trips that originated from or terminated at residences in Atlanta's 13-county metropolitan area. The lifestyle regression models were compared with regression models based on income, because the latter were similar to the

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Mirmanto Mirmanto, Anang Suriatman, and Made Nuarsa. "Effect of air inlet velocity on air water harvester with small tube evaporator." Global Journal of Engineering and Technology Advances 23, no. 3 (2025): 200–208. https://doi.org/10.30574/gjeta.2025.23.3.0195.

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During the dry season, parts of Indonesia experience drought and clean water crises. One of the efforts to obtain clean water was by presenting a machine called air-water harvester. The amount of water mass produced depended on several variables such as RH, intake air temperature, type of condensing unit, intake air velocity and engine power. This study aims to determine the performance of the air-water harvester at various inlet air velocities. The dependent variables expected were the mass of water produced, COP, and the amount of heat absorbed from the air. This research was carried out exp

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Ghiffari, Ahmad, Ratika Febriani, Galuh Pratama Mynanda, and Thia Prameswarie. "RELATIONSHIP BETWEEN CLIMATE VARIABLES AND DENGUE INCIDENCE IN WEST INDONESIA." Jurnal Kedokteran Diponegoro (Diponegoro Medical Journal) 13, no. 3 (2024): 138–46. http://dx.doi.org/10.14710/dmj.v13i3.43873.

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Background: Dengue fever is a major public health problem, especially in heavily populated metropolitan areas like Palembang City, Indonesia. Gaining insight into the impact of climatic conditions on the dynamics of dengue transmission is essential for guiding specific public health actions. Objective: The objective of this study is to examine the correlation between temperature, rainfall, wind speed, air humidity, and the occurrence of dengue disease in Palembang City. Methods: Using observational data collected from 2016 to 2019 and 2022, we applied bivariate analytic approaches to evaluate

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Baggio, Eugene Yudhistira, Toni Hartono Bagio, and Julistyana Tistogondo. "Mix design programming for normal concrete using cubic equation." astonjadro 12, no. 1 (2023): 77. http://dx.doi.org/10.32832/astonjadro.v12i1.7143.

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<p>A computer programming requires inputs and processes to produce output, good data processing requires a formula, in programming when using tables is very inefficient, so an approach is needed in this case the existing table tables are converted into formulas, making it easier to process programming. Mix Design for normal concrete, in general, always use tables that have SNI (ACI), the tables are modified with Polynomial Regression to be equations, tables in SNI (ACI) that are transformed into equations. The equation produced, using polynomial regression, with a value of R² ≈ 1. The eq

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Kim, Hyo-Jun, Ji-Hyun Shin, Jae Hun Jo, and Young-Hum Cho. "Development of Air Flow Rate Prediction Model Using Multiple Regression in VAV Terminal Unit." Energies 13, no. 10 (2020): 2667. http://dx.doi.org/10.3390/en13102667.

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Accurate measurement of air flow rate is essential in automatic building control using the variable air volume (VAV) system. In order to solve the problems of the existing air flow measurement method and improve the accuracy of air flow control, this study developed a data-based multiple regression air flow prediction model. The independent variables used in the development of the predictive model were selected as the factors used for control and monitoring when operating with variable air flow rate in the existing air conditioning system. Data collection and correlation between independent va

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Mittelstadt, Eduarda Sthefanie, Daniela Müller de Quevedo, Cássia Cinara da Costa, Daniela Montanari Migliavacca Osorio, Rafael Machado de Souza, and Daiane Bolzan Berlese. "Influence of environmental variables on functional capacity in patients with lung disease." Ciência e Natura 44 (September 23, 2022): e45. http://dx.doi.org/10.5902/2179460x67344.

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Air pollution is related to negative impacts mainly on people with Chronic Respiratory Diseases (CRD), reflecting on respiratory health, reduced physical performance and so on. The objective was to investigate the influence of meteorological and air quality variables on the functional capacity of patients with CRD. This was a descriptive, retrospective and cross-sectional study of information collection in a database from 2016 to 2019. For the analysis of environmental variables, three different databases were used, one from the automatic air quality monitoring station in Novo Hamburgo, and th

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Parece, Tammy E., Jie Li, James B. Campbell, and David Carroll. "Assessing Urban Landscape Variables’ Contributions to Microclimates." Advances in Meteorology 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/8736263.

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The well-known urban heat island (UHI) effect recognizes prevailing patterns of warmer urban temperatures relative to surrounding rural landscapes. Although UHIs are often visualized as single features, internal variations within urban landscapes create distinctive microclimates. Evaluating intraurban microclimate variability presents an opportunity to assess spatial dimensions of urban environments and identify locations that heat or cool faster than other locales. Our study employs mobile weather units and fixed weather stations to collect air temperatures across Roanoke, Virginia, USA, on s

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El-Amin, M. F., Shuyu Sun, and Amgad Salama. "Theoretical Analysis and Semianalytical Solutions for a Turbulent Buoyant Hydrogen-Air Jet." Journal of Applied Mathematics 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/710172.

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Semianalytical solutions are developed for turbulent hydrogen-air plume. We derived analytical expressions for plume centerline variables (radius, velocity, and density deficit) in terms of a single universal function, called plume function. By combining the obtained analytical expressions of centerline variables with empirical Gaussian expressions of the mean variables, we obtain semianalytical expressions for mean quantities of hydrogen-air plume (velocity, density deficit, and mass fraction).

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