Evaluation of Zinc Accumulation in Moss (Pylaisia polyantha) Growing Near Intensive Traffic Street Based on Modelling and Experimental Data

2021 ◽  
Vol 23 ◽  
pp. 198-213
Author(s):  
Dainius Paliulis
Keyword(s):  
Experimental Data ◽  
Wind Speed ◽  
Zinc Concentration ◽  
Strong Relationship ◽  
Pollution Source ◽  
Vehicle Exhaust ◽  
Gaussian Plume Model ◽  
Zn Concentration ◽  
Exhaust Fumes ◽  
Gaussian Plume

Pylaisia polyantha moss growing near intensive traffic in Geležinis Vilkas street at Vingis Park (Vilnius) was selected as an indicator of environmental pollution. Two models were applied for the study: the Gaussian plume model – for zinc emission from automobiles calculation and mathematical model – for recalculating the zinc emission from transport to zinc concentration in moss. Moss samples were collected during spring, summer and autumn. There were no significant changes in Zn concentrations between these periods. Zn emission dispersion from pollution source was calculated only for one vehicle, in order to reach relationships between environmental conditions and dispersion of Zn emission from vehicle exhaust fumes pipe. It was detected that the concentration of Zn tends to decrease with the distance from the pollution source. It was observed that there was a strong relationship between wind speed and Zn concentration – the slower the wind speed, the higher concentration of zinc in moss.

scholarly journals Estimating gaseous pollutants in the air near Daura Refinery, Daura Power Plant and South of Baghdad Power Plant by calculating the fuel discharge

2021 ◽  
Vol 30 (1) ◽  
pp. 195-207
Author(s):  
Thaer Roomi ◽  
Adel Abed
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Air Pollutants ◽  
Pollution Source ◽  
Atmospheric Pollutants ◽  
Emission Rates ◽  
Prevailing Wind ◽  
Gaussian Plume Model ◽  
Prevailing Wind Direction ◽  
Gaussian Plume

This study addresses estimation of emission rates and concentrations of SO2, CO and NO2 gases emitted from Daura Refinery (DR), Daura Power Plant (DPP) and South of Baghdad Power Plant (SBPP) by calculating the fuel discharge. The estimations were made by using the Gaussian plume model of dispersion at distances within 10 km from the pollution source for January, April, July and October 2017 under two stability conditions, slightly stable and moderately unstable. The effect of wind speed and direction as well as the ambient temperature of the surrounding air on the dispersion and transmission of air pollutants were also investigated. It was found that the unstable conditions are better for dispersing out atmospheric pollutants. The results showed that Zafarania District was the most affected by pollutants emitted from DR and BSPP while Daura District was more affected by DPP due to the prevailing wind direction. It was also found that an increase in wind speed leads to a decrease in the concentration of pollutants. The concentration of pollutants is inversely proportional to the height of the chimney, the speed of the gas leaving the chimney, while it is directly proportional to the diameter of the chimney. DPP has higher emission rates than DR and SBPP while at the surface level, the pollutants concentrations emitted from DR are greater than those emitted from DPP and SBPP.

Sensitivity of the Gaussian plume model

1975 ◽  
Vol 9 (5) ◽  
pp. 550-551
Author(s):  
D.G. Horne
Keyword(s):  
Gaussian Plume Model ◽  
Plume Model ◽  
Gaussian Plume

Evaluation of energy generation in Iraqi territory by solar photovoltaic power plants with a capacity of 20 MW

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Qusay Hassan ◽  
Saadoon Abdul Hafedh ◽  
Ali Hasan ◽  
Marek Jaszczur
Keyword(s):  
Experimental Data ◽  
Wind Speed ◽  
Power Plant ◽  
Ambient Temperature ◽  
Solar Irradiance ◽  
Electricity Generation ◽  
Power Plants ◽  
Solar Photovoltaic ◽  
Photovoltaic Power ◽  
Plant Capacity

Abstract The study evaluates the visibility of solar photovoltaic power plant construction for electricity generation based on a 20 MW capacity. The assessment was performed for four main cities in Iraq by using hourly experimental weather data (solar irradiance, wind speed, and ambient temperature). The experimental data was measured for the period from 1st January to 31st December of the year 2019, where the simulation process was performed at a 1 h time step resolution at the same resolution as the experimental data. There are two positionings considered for solar photovoltaic modules: (i) annual optimum tilt angle and (ii) two-axis tracking system. The effect of the ambient temperature and wind on the overall system energy generated was taken into consideration. The study is targeted at evaluating the potential solar energy in Iraq and the viability of electricity generation using a 20 MW solar photovoltaic power plant. The results showed that the overall performance of the suggested power plant capacity is highly dependent on the solar irradiance intensity and the ambient temperature with wind speed. The current 20 MW solar photovoltaic power plant capacity shows the highest energy that can be generated in the mid-western region and the lowest in the northeast regions. The greatest influence of the ambient temperature on the energy genrated by power plants is observed in the southern regions.

Experimental and Theoretical Investigation of Performance of a Solar Chimney Model, Part I: Experimental Investigation

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Essaied M Shuia ◽  
Bashir H Arebi ◽  
Ibrahim A abuashe
Keyword(s):  
Experimental Data ◽  
Wind Speed ◽  
Solar Radiation ◽  
Air Temperature ◽  
Solar Collector ◽  
Experimental Results ◽  
Internal Diameter ◽  
Solar Chimney ◽  
Air Velocity ◽  
Collector Temperature

This paper presents the experimental data that was collected from small pilot solar chimney. The experimental data together with ambient conditions are used to evaluate the performance and study the behavior of the solar chimney; this data will be used for comparison with theoretical models in another paper [part II). The solar chimney prototype was designed and constructed at the Subrata Faculty of Engineering-Libya. The data were collected over several days of June 2011. The solar chimney system contains two main components; the solar collector and the solar chimney. The solar collector root‘ has a circular area of126 m3, the solar chimney is a PVC tube with internal diameter of 0.2 m and the total height of chimney is 9.3 m. The measurements include the intensity of solar radiation inside/outside the collector, temperature and velocity of air at the entrance of the chimney, temperature and speed of wind outside the collector, temperature of the ground inside collector al1d temperature measurements of air at speci?c points at different levels throughout the collector. Solar irradiance was found to affect the chimney temperature and subsequently affects chimney air velocity. The experimental results showed that temperature differences of (30 - 45°C) were recorded between the ambient temperature and that of air inside the chimney in the middle of the day, where the highest air temperature of 73.4°C was recorded at the entrance of the solar chimney. The maximum air velocity of 3.6 m/s was recorded inside the solar chimney at noon on 9 June. Wind speed outside the collector had a small effect on the speed of the air inside the chimney and tends to change slightly, hence, can neglect influence of wind speed on the performance of the system. Also the experimental results indicate that such type of system can trap a suf?cient amount of solar radiation, which elevates the air temperature to a suf?cient value able to generate enough air ?ow to operate a wind turbine to produce electricity; this means the solar chimney system for electricity production can work in the north-western part of Libya in the summer time at least.

scholarly journals Genetic Variability and Genotype X Environment Interactions Effect on Grain Iron (Fe) and Zinc (Zn) Concentration in Lentils and Their Characterization under Terai Environments of Nepal

2020 ◽  
Vol 5 (1) ◽  
Keyword(s):  
Analysis Of Variance ◽  
Zinc Concentration ◽  
Animal Feed ◽  
Zn Deficiency ◽  
Environment Interaction ◽  
Human Beings ◽  
Zn Concentration ◽  
Iron And Zinc ◽  
Tract Infections ◽  
Location Interaction

Billions of peoples are directly affected from the micronutrient malnutrition called hidden hunger affecting one in three people. Micronutrient Iron (Fe), and zinc (Zn) deficiencies affect large numbers of people worldwide. Iron (Fe) deficiency leads to maternal mortality, mental damage and lower disease resistant of children. Likely Zinc (Zn) deficiency is responsible for stunting, lower respiratory tract infections, and malaria and diarrhea disease in human beings. Nepalese lentils are in fact rich sources of proteins and micronutrients (Fe, Zn) for human health and straws as a valuable animal feed. It has ability to sequester N and C improves soil nutrient status, which in turn provides sustainable production systems. Twenty five lentil genotypes were evaluated to analyze genotype × environment interaction for iron and zinc concentration in the grains. Analysis of variance (ANOVA) indicated that the accessions under study were found varied significantly (P=<0.001) for both seed Fe and Zn concentrations at all the three locations. Pooled analysis of variance over locations displayed highly significant (at P=<0.001) differences between genotypes, locations and genotype × location interaction for Zn micronutrient but insignificant genotype x location interaction was found in Fe micronutrient. Among 25 genotypes, the ranges for seed Fe concentration were 71.81ppm (ILL-2712)-154.03 ppm (PL-4) (mean 103.34 ppm) at Khajura, 79.89 ppm (ILL-3490)-128.14 ppm (PL-4) (mean 95.43 ppm) at Parwanipur, and 83.92 ppm (ILL-7979) -137.63 ppm (ILL-6819) (mean 103.11ppm) at Rampur, while the range across all the three locations was 82.53 ppm (ILL-7979) -133.49 ppm (PL-4) (mean 101.04 ppm). Likely the range for seed Zn concentration was 53.76 ppm (ILL-7723) – 70.15 ppm (ILL-4605) (mean 61.84 ppm) at Khajura, while the ranges for Parwanipur and Rampur were 54.21 ppm (ILL-7723) -91,94 ppm (ILL-4605) (mean 76.55 ppm) and 46.41 ppm (LG-12) – 59.95 ppm (ILL-4605) (mean 54.27 ppm) , respectively. The range across the three environments was 54.03 ppm (ILL-7723) – 75.34 ppm (HUL-57) (mean 64.22 ppm). Although both the micronutrients were influenced by environment, seed Fe was more sensitive to environmental fluctuations in comparison to seed Zn concentration. The G × E study revealed that it was proved that genotypes Sagun, RL-6 and LG-12 were more stable for seed Fe concentration and genotypes WBL-77, ILL-7164, RL-11 were found more stable for seed Zn concentration. In the AMMI analysis employing Gollob’s test, first two PC explained 100% of the G × E variation. PC 1 and PC 2 explained 87.19% and 12.81% of total G × E interactions for Fe concentration and likely for Zn concentration; PC1 and PC2 explained 70.11% and 29.88%, respectively. The critical perusal of biplot revealed that Parawnipur locations was found to discriminating power for Fe concentration while for Zn concentration Khajura location was found to be most discriminative. The critical analysis of pedigree vis-à-vis micronutrient concentration did not reveal any correlation. This is probably the first report on iron and zinc concentration in lentil from Nepal.

The Simulation of Release Consequence with a Modified Gaussian Plume Model

2016 ◽  
pp. 445-454
Author(s):  
Hongya Zhu ◽  
Xuanya Liu ◽  
Qingsong Wang ◽  
Jinhua Sun
Keyword(s):  
Gaussian Plume Model ◽  
Plume Model ◽  
Gaussian Plume

scholarly journals Diffusion of vehicle exhaust fumes

Atmosphere ◽  
1974 ◽  
Vol 12 (2) ◽  
pp. 50-61
Author(s):  
F.H. Fanaki ◽  
J. Kovalick
Keyword(s):  
Vehicle Exhaust ◽  
Exhaust Fumes
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