Ambient Wind Speed Research Articles

Predicting building wall temperature in composite climate using regression models: A comparative study

The paper illustrate the development and validation of two regression models i.e., poisson and artificial neural network employed to predict the significance of different climatic variables for an institutional building in composite climate. For prediction of outer wall temperature using five input parameters (ambient temperature, relative humidity, global radiation, wind speed and wind direction), two modeling approaches: poisson and artificial neural network were used. The results of both the model were validated through test data analysis in terms of three statistical measures namely, R-squared, root mean square error and mean absolute error. The performances of both the models are comparable in terms of train and test data. Comparative statistical analysis of both the model shows a better fit for the artificial neural network model as it was capable of adjusting themselves to the unpredicted changes in the input data. For the current study where weather parameters are continuously fluctuating poisson model was preferred as it generates the estimation coefficient values for the variables while neural model is not mathematically defined. The study demonstrates that neural model should be used as an alternative method for temperature prediction. The content and format of the paper has been widely used for designing and retrofitting of buildings by considering the most significant climatic variables for future work. Also, it helps the architects and engineers to find the relevant insulating material for the building envelope as per the requirement and subsequently improves its thermal behavior.

Environmental Conditions and Gas Concentrations in Deep-Pit Finishing Cattle Facilities: A Descriptive Study

HighlightsTemperature and air movement in the naturally ventilated barns correlated to ambient conditions.Manure N-P-K values related to solids distribution in the manure storage.Ammonia and combined sulfur concentrations increased with closer proximity to the manure surface.Influences of manure properties, airflow conditions, barn design, and management were evident for gas concentrations.Abstract. There is a lack of data to describe the range of environmental and air quality conditions in beef cattle confinement buildings with deep-pit manure storage. The objective of this article is to describe the environmental conditions, manure nutrient concentrations, and aerial gas concentrations for three deep-pit manure storage finishing beef cattle facilities and varying weather conditions. Measurements were collected from three barns finishing beef cattle with deep pits in Minnesota on three sampling days per barn in summer, fall, and spring weather conditions. The air temperatures throughout the barns closely mirrored the ambient temperature conditions, although significantly lower temperatures were sometimes evident at the manure surface or in the inlet opening. However, the manure and floor surfaces had 2°C and 5°C temperature increases over ambient temperatures. Air speeds through the barn openings were generally 40% of the ambient wind speed; at animal level, the average air speed was 1 to 3 m s-1. Manure nutrient distributions were not consistent between the surface and agitated (whole pit) samples, and this was likely due in part to solids distribution in the storage. Total nitrogen levels ranged from 4.5 to 6.7 g L-1, and ammonium-N was 50% to 65% of total N in agitated whole-pit samples. Phosphate and potassium oxide levels ranged from 2.8 to 4.2 g L-1 and from 3.7 to 4.5 g L-1, respectively. Aerial ammonia and combined sulfur concentrations varied by location within a barn, pen, and season. Ammonia and combined sulfur increased with proximity to the manure surface. Higher ammonia and combined sulfur concentrations at manure level and floor level for one of the three barns may have related to water quality and/or feed composition and resulting manure nutrients, in addition to warmer temperatures. At floor level, the greatest average ammonia concentration was 8.5 ppm, and 3.9 ppm at nose level. Maximum combined sulfur levels were a maximum of 270 ppb at floor level in summer conditions in one of the barns, while 52 ppb was the maximum average during spring conditions. Carbon dioxide levels also varied by location within a barn, pen, and season and were related in part to the presence of cattle in the pen. This project is the first to quantify air quality in slatted-floor cattle barns and contributes to a body of knowledge that can be used to develop process-based models for estimating air emissions from cattle facilities. Keywords: Airflow, Ammonia, Beef cattle, Confinement, Hydrogenslfide, Manure characteristics, Temperature.

The experiment of ambient wind speed and argon flow rate on tig welding process

Tungsten inert gas (TIG) welding is one of the most popular welding which has high quality welds. TIG welding can be used for all kinds of welding positions and high efficient. During the welding process, the welding specimen and the heat affected zone (HAZ) affected by a series of thermal cycles where the area warms up to a maximum temperature then followed by cooling process. The thermal cycle affects the microstructure of the welding specimen and HAZ. By controlling these parameters to reach the right heat cycle, the mechanical property of the weld metal can be improved and maintain the microstructure of the weld metal. This study is conducted an experiment to determine the effect of different wind velocity around the TIG welding material. Moreover, this study also discuss the effect of shielding gas flow rate on TIG type welding on JIS G 3131 SPHC steel material. The welding area and HAZ the higher the wind speed the hardness value tends to decrease. Because there is a difference in cooling speed and heat input on weld metal and HAZ.

Temperature-compensated fiber-optic gas flow speed sensor based on the ‘Hot-wire’ principle

Compared with the use of other types of sensors, there are significant advantages in making measurements of low speed gas flows by using a fiber-optic ‘hot-wire’ sensor. Measurements of this type using intrinsically safe fiber optic technology play an important role in industry, especially in coal mine gas clearance, roadway ventilation and fire safety warning. However, the ‘line-diameter ratio’ of the fiber-optic ‘hot-wire’ wind speed sensor described in previous work is far smaller than that for the traditional electronic hot-wire sensor and this requires investigation and optimization. To do that necessitates considering the combined influence of factors such as forced convection, natural convection, radiation heat transfer and heat conduction on the operation of the sensor probe, especially on the heat transfer between the sensor element and the base, when analyzing the performance of the fiber-optic ‘hot-wire’ gas flow speed sensor and in modelling its characteristics. Based on the results of the model of electronic hot-wire sensor created, this paper presents a method to improve and indeed further enhance the performance of the sensor, having a focus on the proportion of convective heat transfer to the total energy dissipation under different ambient and different wind speed conditions, as well as the influence of different ambient temperatures on the sensor probe. The results of the numerical simulation and the experimental verification carried out show that the measurement error was less than ±0.2 m/s, when used within the gas flow speed range of 0−6 m/s. Compared with the situations before the compensation was applied, the measurement error in the use of the sensor is reduced and the sensor performance significantly improved.

A novel strategy of enhancing sky radiative cooling by solar photovoltaic-thermoelectric cooler

According to the characteristics of photovoltaic power generation and radiative cooling, a novel strategy of PVRC-TE (incorporation of radiative cooling with solar photovoltaic-thermoelectric cooler) system that enhancing sky radiative cooling by solar photovoltaic-thermoelectric cooler was proposed. Photovoltaic cells convert part of the sun’s radiation into electricity, reducing the solar incidence and heat absorption, and enhancing diurnal radiant cooling. At the same time, PV cells drive TEC module to generate cooling energy. The system makes full use of the characteristics of PV cells and radiative cooling, promotes each other, and realize 24-h all day operation. A mathematical model is established, and its performance is analyzed and parameterized by the validated model. The influences of design parameters and the common environmental effects on the performance of system, such as ambient temperature, wind speed, relative humidity and sunshine hours are included in the study. Taking Hefei city as an example, the influence of different meteorological parameters on the system performance is discussed. The simulation results show that the area with drought and long sunshine time in middle latitude is more suitable for high performance system. In PVRC-TE system, the area of photovoltaic and radiant cooling has the best geometric ratio. When the ratio of photovoltaic and radiation cooling area is 1, the maximum cooling energy gain in a day of the system is 285.57 MJ/m2.

Visualization study on the effect of ambient wind on smoke layer height in chamber fires under natural smoke exhaust condition

Ambient wind often affects the smoke movement and natural smoke exhaust performance in enclosure fires. In this study, six wind speeds and twelve kinds of vent combinations are designed. 72 groups of experiments are conducted to investigate the coupling effects of vent combination and ambient wind speed during quasi-steady state of natural smoke extraction in chamber fires. Compared to the traditional Particle Image Velocimetry (PIV) method, a novel particle image flow field visualization (PIFFV) technique is proposed, and a smoke recognition algorithm for the determination of smoke layer height is developed based on two-dimensional OTSU method. Experimental results show that using the PIFFV method and the proposed algorithm, smoke layer height can be determined more accurately, in comparison to the N-percentage method. When the height of outlet is higher than that of inlet, the worst smoke control effect is found. When the air inlet is located on the windward side, the effect of natural smoke extraction is better under a reasonable wind speed than that in a windless condition. However, when the height of outlet is lower than that of the windward inlet, the optimal smoke control effect is achieved without ambient wind. In addition, when the inlet is arranged on the sideward side, ambient wind has a limited influence on smoke layer height with a lower outlet. Results of this study can provide references for the design of smoke control and ventilation system in room fires.

Indoor and Outdoor Particulate Matter Concentrations in the Vicinity of Plastic Waste Processing Industries

While plastic recycling has gained conclusive acceptance by various stakeholders as a preferable products’ end-of-life management, plastic waste processing industries may contribute to serious air pollutants emission and impair human health, especially if it is in uncontrolled conditions. Apart from toxic gas pollutants, this industry may also emit significant concentration of particulates matter or dust, notably via physical (shredding, sorting, and washing) and melt (re-granulation and reprocessing) processes. Meanwhile, in Sungai Petani, Kedah, Malaysia, public anguish is increasing in recent years due to mushrooming plastic waste recycling industries in its residential area. Thus, a study was conducted to analyse the day- and night-time ambient air PMio levels and their relationship with selected meteorological parameters (ambient temperature, relative humidity and wind speed) at two different locations (Cinta Sayang Resort Villa, CSRV and Metro Specialist Hospital, HM) in Sungai Petani, Kedah, Malaysia. The mean ambient PMio levels of Cinta Sayang Resort Villa (CSRV) and Metro Specialist Hospital (HM) were found exceeding the New Malaysia Ambient Air Quality Standard at 150 (μg/m3 (24-hours), which were 568.082 + 266.441 (μg/m3 615.046 + 355.672 (μg/m3, respectively. Distribution of PMio concentrations betwen day and night-time were found to be statistically insignificant at both sites. Meteorological parameters have also contributed to the trend of PMio concentrations at both sites especially at HM. Inverse correlation with PMio at CSRV was explained by the absence of moisture (or rain) at the site while the positive correlation observed at HM was due to the hot temperature-strong wind association at the site. Temperature was found to be the manipulating factor for PMio at HM, via linear regression model developed at PMouth = - 4352.426 + 170.557 x Th with F(1, 8) = 15.224 at p < .005, accounting for 65.6% of the variation Thus, proper attention should be given to the particulates matter emitted in Sungai Petani, believed to be influenced by the uncontrolled emission from the plastic recycling industries.

PSIII-12 Genetic analysis of heat tolerance in Holsteins using test-day production records and satellite-based meteorological data

Abstract Heat stress in dairy cattle is an existing issue in temperate regions that can cause reduced milk production, impaired fertility, and mortality. Genetic selection for heat tolerance using test-day production records and weather station data is a potential mitigation strategy. However, weather stations can have temporal data gaps and a low spatial resolution, which reduces the number of herds that can be incorporated into an analysis. The objectives for this study include: (1) compare satellite-based meteorological data from the NASA POWER database to weather station records in Ontario and Quebec, (2) evaluate the effects of heat stress on Canadian Holsteins, and (3) assess breeding value estimates for heat tolerance in the same population. Daily estimates of ambient temperature, dewpoint temperature, relative humidity, and wind speed from 481 weather stations in Ontario and Quebec were compared to the parameters estimated by the NASA POWER project using an ordinary least squares regression. The coordinates of herds in Ontario and Quebec were estimated using their addresses and Google Maps Geocoding. The best weather data for each herd location will be incorporated into two random regression animal models to analyze three test-day production traits: milk, fat, and protein yield. The first model will be used to estimate general and specific additive genetic merits over the thermal gradient. The second model will estimate the traditional additive genetic merit. In conclusion, this study explores the use of satellite estimated meteorological parameters in addition to or alternatively to weather station data in heat tolerance studies, quantifies the sensitivity of Canadian dairy cattle to heat stress, and evaluates if genetic selection for increased heat tolerance in Canadian dairy herds is possible.

Meteorological drivers of respiratory syncytial virus infections in Singapore

Meteorological drivers are known to affect transmissibility of respiratory viruses including respiratory syncytial virus (RSV), but there are few studies quantifying the role of these drivers. We used daily RSV hospitalization data to estimate the daily effective reproduction number (Rt), a real-time measure of transmissibility, and examined its relationship with environmental drivers in Singapore from 2005 through 2015. We used multivariable regression models to quantify the proportion of the variance in Rt explained by each meteorological driver. After constructing a basic model for RSV seasonality, we found that by adding meteorological variables into this model we were able to explain a further 15% of the variance in RSV transmissibility. Lower and higher value of mean temperature, diurnal temperature range (DTR), precipitation and relative humidity were associated with increased RSV transmissibility, while higher value of maximum wind speed was correlated with decreased RSV transmissibility. We found that a number of meteorological drivers were associated with RSV transmissibility. While indoor conditions may differ from ambient outdoor conditions, our findings are indicative of a role of ambient temperature, humidity and wind speed in affecting RSV transmission that could be biological or could reflect indirect effects via the consequences on time spent indoors.

Flow and pollution concentration large-Eddy simulation and transition conditions for different street canyons and wind speeds: Environmental pollution reduction approach

Effects of different ambient wind speeds and aspect ratios on turbulence and pollutant concentration in and above street canyons are numerically investigated and compared using parallelized LES model (PALM) and ((Transition Conditions)) are introduced for the first time. The results show that, increasing of ambient wind speed does not change the shape of streamlines but increases the magnitude of time- and area-averaged turbulent kinetic energy with the rate of square of speed ratios resulting in better ventilation of pollutants. As aspect ratio increases, the magnitude of turbulent kinetic energy and turbulent fluxes especially in lower depths of the canyon decrease sharply causing decreased pollution transport to higher levels. An applied case is between 2 and 4 aspect ratios in which there are two vortices along the depths of the canyon. As the width of the canyon increases, the rate of the upper vortex penetration increases and eventually at aspect ratio 2 makes a transition from two to one vortex; we call such conditions as transition conditions. In transition conditions increasing of less than half a meter of street canyon width will drastically decrease the pollution concentration inside the canyon; this is useful in optimizing canyon dimensions for better ventilation.

Weather Parameters and COVID-19: A Correlational Analysis.

Objectives:To assess the effect of ambient temperature, humidity and wind speed on disease occurrence in Delhi, India.Data and Methods:Data regarding daily corona cases, temperature, humidity, wind speed, doubling time and basic reproduction number (R0) was retrieved from online sources. Pearson's coefficient was used to assess the correlation between daily as well as weekly corona cases and various environmental factors.Results:During the study period of 97 days, there was a steady rise in number of corona cases with median (interquartile range) cases per day being 224 (58 to 635). The doubling time demonstrated a strong positive correlation with temperature while R0 had strong negative correlation with temperature (correlation coefficients 0.814 and −0.78, respectively). No significant correlation with humidity or wind speed was observed.Conclusion:Increasing temperature decreases COVID-19 infectivity; however, actual role of environmental factors in expansion of pandemic needs further evaluation globally.

The Analysis Performance of a Grid-Connected 8.2 kWp Photovoltaic System in the Patagonia Region

Solar PV structures for locations at high latitudes in the Northern and Southern Hemispheres are increasingly in the spotlight. The work reported in this paper analyses the behaviour of a grid-connected 8.2 kWp photovoltaic system to either feed on-site electrical loads (a public institution, Corporación Nacional Forestal (CONAF), located 5.5 km south of Punta Arenas, lat. 53° S) or to feed into the electrical grid when the photovoltaic system generation is higher than the on-site load demand. The system simulation uses the PVSyst software with Meteonorm derived and measured climate information sets (ambient temperature, solar irradiation and wind speed). The agreement between the simulated and measured energy yield is analysed including the evaluation of the optimal generation energy of the PV array, the energy that is fed into the network, the performance ratio, and the normalised energy generation per installed kWp. The PV system considered in this work generates 7005.3 kWh/year, out of which only 6778 kWh/year are injected into the grid. The measured annual performance ratio is around 89%. The normalised productions of the inverter output or final system yield, i.e., useful energy, is 3.6 kWh/kWp/day. The measured annual average capacity factor obtained from this study is 15.1%. These performance parameters will encourage greater use of photovoltaic technology in the Chilean Patagonia region.

The effect of meteorological variables on spontaneous pneumothorax in two regions with different altitudes

Spontaneous pneumothorax (SP) is defined as the presence of free air inside the pleural space. Many studies have reported that meteorological variables may trigger SP, but the mechanism is unknown. The aim of this study was to compare the effects of meteorological variables on the development of SP in two regions with different altitudes. The study was conducted in the Çanakkale (2m above sea level) and the Erzurum region (1758m). A total of 494 patients with SP who presented to the hospitals of the two regions between January 2011 and December 2016 were included in the study. The meteorological variables used included ambient temperature, atmospheric pressure, relative humidity, precipitation amount, wind speed, and wind direction (as north and south). The total 2192days were divided into two as days with and without an SP case presentation. A 4-day period prior to the day a case presented was compared with the other days without any cases to investigate the presence of any lagged effect. Statistical significance was accepted at p < 0.05. Comparison of these two regions showed a significant difference between them. The meteorological variables of the regions that affect SP development were found to be low mean minimum temperature, high daily temperature change, low precipitation, low wind speed and north winds for Erzurum, and only rainy days for Çanakkale. The results have demonstrated that cold weather, sudden temperature changes, north winds, and low wind speed are risk factors for the development of SP at high altitudes.

Association of Short-Term Exposure to Meteorological Factors and Risk of Hand, Foot, and Mouth Disease: A Systematic Review and Meta-Analysis

(1) Background: Inconsistencies were observed in studies on the relationship between short-term exposure to meteorological factors and the risk of hand, foot, and mouth disease (HFMD). This systematic review and meta-analysis was aimed to assess the overall effects of meteorological factors on the incidence of HFMD to help clarify these inconsistencies and serve as a piece of evidence for policy makers to determine relevant risk factors. (2) Methods: Articles published as of 24 October 2020, were searched in the four databases, namely, PubMed, Web of Science, Embase, and MEDLINE. We applied a meta-analysis to assess the impact of ambient temperature, relative humidity, rainfall, wind speed, and sunshine duration on the incidence of HFMD. We conducted subgroup analyses by exposure metrics, exposure time resolution, regional climate, national income level, gender, and age as a way to seek the source of heterogeneity. (3) Results: Screening by the given inclusion and exclusion criteria, a total of 28 studies were included in the analysis. We observed that the incidence of HFMD based on the single-day lag model is significantly associated with ambient temperature, relative humidity, rainfall, and wind speed. In the cumulative lag model, ambient temperature and relative humidity significantly increased the incidence of HFMD as well. Subgroup analysis showed that extremely high temperature and relative humidity significantly increased the risk of HFMD. Temperate regions, high-income countries, and children under five years old are major risk factors for HFMD. (4) Conclusions: Our results suggest that various meteorological factors can increase the incidence of HFMD. Therefore, the general public, especially susceptible populations, should pay close attention to weather changes and take protective measures in advance.

Effect of the Meteorological Parameters on the Indoor PM2.5 and PM10 Concentrations in a Hospital

Exposure to the particulate matter is related to a variety of acute and chronic health effects. Also, it is an important factor in the indoor air quality in hospitals. The present study aimed to determine the effect of meteorological parameters on the indoor PM2.5 and PM10 concentrations in the operation room, pediatric, and intensive care unit wards in the hospital in Kashan, Iran. The PM2.5 and PM10 concentrations were measured at two indoor sites and one outdoor site in each one of the wards from March to May 2015. Also, the wind rose was drawn for determining the Prevailing wind. The mean indoor and outdoor PM2.5 and PM10 concentrations increased during the study period. The results obtained of wind rose showed that the prevailing wind (4.5% of the entire winds) was the direction of the west-southwest. Also, the highest mean outdoor PM2.5 and PM10 concentrations were related to the ambient wind directions of the east-northeast, the west, and the north-northwest in the operation room, pediatric and intensive care unit wards, respectively. According to the findings, there was a positive association between the indoor and outdoor PM2.5 and PM10 concentrations in the wards. Also, the meteorological parameters played an important role in the indoor particle mass concentrations in the study wards in the hospital. The effective meteorological parameters on the particle concentrations were the ambient temperature, wind speed, relative humidity, and rainfall in the hospital. It is asking for improving the indoor air quality of managers and officials to protect the patients and staff against transferred diseases by the particles in the wards in the hospital.

Ambient temperature and relative humidity as possible drivers of the hand, foot, and mouth disease epidemics in Zhejiang Province, China

Hand, foot, and mouth disease (HFMD) is a common communicable disease among children and has been a global health problem in recent decades. Literature has shown that meteorological factors possibly drive the epidemic of HFMD, but the natures differ across regions. To elucidate the associations between meteorological factors and the epidemic of HFMD in Zhejiang province, China, the incidence rate and the number of probable and laboratory-confirmed cases of HFMD as well as meteorological factors (ambient temperature, relative humidity, total rainfall, wind speed, and total sunshine duration) during the year of 2013–2017 in the province were modelled by the Bayesian hierarchical Poisson spatiotemporal model with distributed lag nonlinear components, so as to capture spatiotemporal associations and potentially nonlinear or lagged effects of the meteorological factors. During the study period, there were altogether 689,898 HFMD cases in Zhejiang province, and the disease exhibited a strong spatiotemporal association. On average, Ningbo had the highest weekly incidence rate of 6.83/100,000. The cumulative adjusted relative risk (ARR) increased with average ambient temperature until 24.6 °C (ARR = 1.14, 95% CI: 1.04–1.30), at which the pattern reverted. The cumulative ARR also increased statistically significantly with average relative humidity. It was estimated that 1% increase in relative humidity corresponded to 1.07%–1.16% increase in ARR. Total rainfall, average wind speed, and total sunshine duration were not statistically significantly associated with the incidence rate. In conclusion, the existence of the associations between meteorological factors and the incidence rate of HFMD implies that the local government could make use of meteorological information for disease surveillance, allowing early preparation for the outbreak of HFMD when favorable conditions (wet and moderately hot) are forecasted, in order to reduce the heavy burden induced by the disease.

Numerical Simulation and Risk Analysis on Large-Scale Oil Tank Farm Conflagration Based upon FDS

With regard to the oil characteristics of volatility and fluidity, safety issues may occur in case of oil tank leakage, conflagration and even explosion. In this thesis, the fire dynamics simulator (FDS for short) was used to simulate the conflagration of a 5000m3floating-roof oil tank. By simulating and calculating the oil tank conflagration, it obtained the effect of the distribution principle and the ambient wind speed in the thermal radiation field on the distribution principle in the radiant heat field. In comparison of the heat flux failure criteria at home and abroad, the safe intensity threshold between adjacent oil tanks was analyzed when the conflagration occurs on single oil tank. Then it came to a conclusion that, latent risk exists in current domestic fire separation distance 0.4D, which couldn’t meet the safety requirement on adjacent oil tanks. Meanwhile, it analyzed the distribution principle of the radiation thermal field in single floating-roof oil tank conflagration, and obtained the minimum safety distance of adjacent oil tanks at various ambient wind speeds, thus providing reference standards and scientific proof for designing safe tank farm as well as controlling the danger sources.

Three-dimensional Numerical Simulation of the Flow Field in the Potato Storage in Summer

In recent years, with the rapid growth of potato demand, potato storage has become extremely important. It is vital that controls the ambient temperature and wind speed during potato storage. Therefore, this work simulated the temperature field and air flow organization in a potato storage using the underfloor air supply. The established computational fluid dynamics (CFD) model was used to study the temperature field and airflow organization in the warehouse under different air supply parameters, and compared the results to get their change rule. On this basis, the influence of the underfloor air supply on the flow field was studied to verify its feasibility. The results show that under reasonable conditions, the underfloor air supply can effectively guarantee the required temperature and airflow organization.

Effects of induction and wake steering control on power and drivetrain responses for 10 MW floating wind turbines in a wind farm

This paper aims to investigate the drivetrain load response caused by induction and wake steering control on two floating wind turbines (FWTs) in a wind farm. In this study, two DTU 10 MW turbines, supported on the nautilus floater, are modelled using FAST.Farm. The downstream turbine is placed at the distance of seven rotor diameters (D) from the upstream turbine in the positive wind direction. Partial wake shading is considered for wake steering control and full wake shading is considered for induction control. An ambient wind speed of 8m/s is used and a representative sea state is selected. The test cases are defined based on different blade pitch and yaw angles of the upstream turbine. Power generation of the offshore wind farm is studied under different test cases. A decouped analysis approach is used to investigate drivetrain response. Global responses are obtained from FAST.Farm. These loads are used as input of the 10 MW wind turbine drivetrain model for the gears and bearings load response analysis. Results show that both induction and wake steering control lead to a limited increase in power generation of the wind farm. Additionally, both control methods affect the drivetrain response statistics, while the features are different. This study facilitates a better understanding on drivetrain dynamic behaviour in a wind farm perspective, which serves as a reference for the wind farm optimizaton in the future.

PREDICTIVE MODEL FOR THE ASSESSMENT OF VOCS EMISSION IN OPEN DUMPSITE USING GENERALIZED LINEAR MODEL

Ambient air quality assessment and regulations plays an important role in air quality management. Forty-five (45) air samples were collected for both wet and dry season of the year (October 2016- September 2017). The air samples were collected by passive sampler (Drager ORSA 5). The samples were analyzed for VOCs, PM2.5 and some elements according to standard methods. In this study, a method to predict aromatic VOCs concentrations in the urban outdoor environment was developed based on the Generalized Linear Models (GLM). The method is based on the relationship developed between atmospheric concentrations of air pollutants and meteorological variables (i.e. ambient temperature, relative humidity and wind speed). The developed GLM model considers VOCs concentrations as a dependent variable, and PM2.5 pollutants and meteorological parameters as explanatory independent variables. A comparison of obtained prediction with observed values showed that the developed model indicated good performance in estimating VOCs concentration. It should be mentioned that the puissance of the model developed is a function of the covariates. This observation suggest that the model with predicted meteorological variables can be engage in environmental management system were data are not readily available. Keywords: VOC, Generalized Linear Models (GLM), Open Dumpsite, Benin City