scholarly journals Identification allergen Cladosporium spores concentration in the ambient of Ahvaz wastewater treatment plant and their relationship with meteorological variables, Ahvaz, Iran

2020 ◽  
Author(s):  
Nastaran Talepour ◽  
Mohammad Sadegh Hassanvand ◽  
Effat Abbasi-Montazeri ◽  
Seyed Mahmoud Latifi ◽  
Neamat Jaafarzadeh Haghighi Fard
Keyword(s):  
Wastewater Treatment ◽  
Wind Speed ◽  
Meteorological Parameters ◽  
Treatment Plant ◽  
Allergic Diseases ◽  
Airborne Fungi ◽  
Air Pressure ◽  
Dew Point ◽  
Uv Index ◽  
Ultraviolet Index

Introduction: Airborne Cladosporium spores in different regions of the world are known as the main cause of allergic diseases. This study aimed to identify the Cladosporium species airborne fungi in Ahvaz wastewater treat- ment plant area and its adjacent places and check the effect of some meteoro- logical parameters on their emissions. Materials and methods: Cladosporium spores were cultured on Sabouraud`s dextrose agar (SDA) medium in both cold and warm seasons. The passive sampling method was performed and after incubation, colonies were counted as CFU/Plate/h. Then, according to the macroscopic and microscopic charac- teristics of the genus, the fungal was studied. The meteorological parameters including temperature, humidity, air pressure, dew point, wind speed, and ultraviolet index were measured. Results: At least, 3358 colonies were counted. 1433 colonies were related  to the Cladosporium species. The amount of Cladosporium in indoor air was 46% of the total Cladosporium. The average of meteorological parameters includes temperature, humidity, air pressure, dew point, wind speed and UV index during the study were 27.8 °C, 32.9%, 548.7 °Kpa, 3.6°, 9.1 km / h and 3.9 respectively. 42.6% of the total number of colonies was related to the Cladosporium species. Cladospiromes had a direct correlation with the dew point, temperature, humidity, air pressure, wind speed, and ultraviolet index (Pvalue<0.05). Primary sludge dewatering has the greatest role in the Cladospo- rium spores emission. Conclusion: Considering the importance of Cladosporium spores in the ap- pearance of allergic diseases, and given that wastewater treatment workers spend most of their time outside, observing health and preventive measures is necessary in this regard.

scholarly journals Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model

2011 ◽  
Vol 11 ◽  
pp. 992-1004 ◽  
Author(s):  
Byungwhan Kim ◽  
Joogong Lee ◽  
Jungyoung Jang ◽  
Dongil Han ◽  
Ki-Hyun Kim
Keyword(s):  
Neural Networks ◽  
Hydrogen Sulfide ◽  
Wind Speed ◽  
Meteorological Parameters ◽  
Dew Point ◽  
Industrial Complex ◽  
Seasonal Behavior ◽  
Generalized Regression Neural Networks ◽  
Main Effect ◽  
Optimized Model

Models to predict seasonal hydrogen sulfide (H2S) concentrations were constructed using neural networks. To this end, two types of generalized regression neural networks and radial basis function networks are considered and optimized. The input data for H2S were collected from August 2005 to Fall 2006 from a huge industrial complex located in Ansan City, Korea. Three types of seasonal groupings were prepared and one optimized model is built for each dataset. These optimized models were then used for the analysis of the sensitivity and main effect of the parameters. H2S was noted to be very sensitive to rainfall during the spring and summer. In the autumn, its sensitivity showed a strong dependency on wind speed and pressure. Pressure was identified as the most influential parameter during the spring and summer. In the autumn, relative humidity overwhelmingly affected H2S. It was noted that H2S maintained an inverse relationship with a number of parameters (e.g., radiation, wind speed, or dew-point temperature). In contrast, it exhibited a declining trend with a decrease in pressure. An increase in radiation was likely to decrease during spring and summer, but the opposite trend was predicted for the autumn. The overall results of this study thus suggest that the behavior of H2S can be accounted for by a diverse combination of meteorological parameters across seasons.

A practical framework using odor survey data to prioritize nuisance odors

2009 ◽  
Vol 59 (3) ◽  
pp. 595-602 ◽  
Author(s):  
G. A. Burlingame
Keyword(s):  
Wastewater Treatment ◽  
Wind Speed ◽  
Survey Data ◽  
Wind Direction ◽  
Wastewater Treatment Plant ◽  
Data Use ◽  
Atmospheric Stability ◽  
Treatment Plant

There are three main questions that need to be answered to address nuisance odors at the fenceline of a wastewater treatment plant: What odors are occurring at the fenceline of the plant? What processes within the plant give rise to these odors? What priority should we assign to mitigation of the nuisance odors? The prioritization is based on three factors that make odors a nuisance: strength or intensity of the odor when it is detected; quality or description of the odor; persistence or occurrence of the odor at the fenceline. Since fenceline odors vary according to: wind direction; wind speed; atmospheric stability and obstructions (buildings, trees, roadways), this study conducted odor surveys at the fenceline of a wastewater plant between April and November for 20 surveys. The data were used to develop a practical framework in three steps: summarize fenceline (residential vs non-residential) odor survey data; use odor type category and average odor strength to determine the annoyance factor; use annoyance factor and fenceline occurrence to determine the priority rating for nuisance odors to be mitigated.

scholarly journals Forecast of the trend of heavy fog based on the VARIMAX model

2021 ◽  
Vol 257 ◽  
pp. 03013
Author(s):  
Boyang Peng ◽  
Yuchi Meng ◽  
Dapai Shi ◽  
Mingyu Dai ◽  
Hao Zhou ◽  
...  
Keyword(s):  
Wind Speed ◽  
Meteorological Factors ◽  
Air Pressure ◽  
Dew Point ◽  
Observation Data ◽  
Near Surface ◽  
Temperature Index ◽  
The Past ◽  
Visibility Index ◽  
Incorrect Data

This paper works out relationship between visibility and near-surface meteorological factors. The formation of heavy fog is affected by meteorological factors near the ground and fog in the past period. In this paper, we abstract and simplify the problem as a time series problem. First, the airport AWOS observation data is reprocessed, and some missing and incorrect data are supplemented and corrected. Then draw a distribution map of “Visibility-Near-surface Meteorological Factors” to intuitively grasp the correlation between them. Finally, model the classic VARIMAX to fit the mapping relationship between visibility and near-surface meteorological factors. The results show temperature has the greatest impact on visibility index, positively correlated with it; secondly, dew point temperature index negatively correlated with it. The results show that, with the temperature low and the humidity high, the water vapor in the atmosphere is more likely to condense into mist, which is not easy to dissipate, resulting in reduced visibility. The indicators related to air pressure and wind speed are positively correlated with visibility, indicating that the increase in air pressure and the increase in wind speed will promote the dissipation of heavy fog. Generally speaking, the MOR index fits better with near-surface meteorological factors.

scholarly journals Grey Correlation Analysis of Haze Impact Factor PM2.5

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1513
Author(s):  
Jiayi Xu ◽  
Zhixin Liu ◽  
Lirong Yin ◽  
Yan Liu ◽  
Jiawei Tian ◽  
...  
Keyword(s):  
Wind Speed ◽  
Correlation Analysis ◽  
Air Pressure ◽  
Dew Point ◽  
Local Climate ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Surrounding Areas ◽  
Beijing China ◽  
North Latitude

In recent years, frequent severe haze weather has formed in China, including some of the most populated areas. We found that these smog-prone areas are often relatively a “local climate” and aim to explore this series of scientific problems. This paper uses remote sensing and data mining methods to study the correlation between haze weather and local climate. First, we select Beijing, China and its surrounding areas (East longitude 115°20′11″–117°40′35″, North latitude 39°21′11″–41°7′51″) as the study area. We collected data from meteorological stations in Beijing and Xianghe from March 2014 to February 2015, and analyzed the meteorological parameters through correlation analysis and a grey correlation model. We study the correlation between the six influencing factors of temperature, dew point, humidity, wind speed, air pressure and visibility and PM2.5, so as to analyze the correlation between haze weather and local climate more comprehensively. The results show that the influence of each index on PM2.5 in descending order is air pressure, wind speed, humidity, dew point, temperature and visibility. The qualitative analysis results confirm each other. Among them, air pressure (correlation 0.771) has the greatest impact on haze weather, and visibility (correlation 0.511) is the weakest.

Improving aeration control at the Ljubljana wastewater treatment plant

2013 ◽  
Vol 69 (7) ◽  
pp. 1395-1402 ◽  
Author(s):  
D. Vrečko ◽  
U. Zupančič ◽  
R. Babič
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Air Pressure ◽  
Set Point ◽  
The Common ◽  
Pressure Controller ◽  
Oxygen Concentrations ◽  
Aeration Control

This paper describes an improvement to the aeration control at the Ljubljana wastewater treatment plant. Several changes were made to the existing aeration control. An adjustment to the parameters of the common air pressure controller contributes to a more responsive operation of the compressors. The introduction of the air pressure set-point controller adjusts the air pressure in the common air rail according to the changes in the plant load. The introduction of the airflow controllers reduces the variation in the oxygen concentrations in the aerobic reactors and, consequently, enables a reduction in the oxygen set-points. With the improved aeration control, savings of up to 10% in the electricity used for aeration are achieved on a yearly basis.

scholarly journals Influence of climate factors on pediatric alopecia areata flares in Philadelphia, Pennsylvania

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elisabeth A. George ◽  
Leslie Castelo-Soccio ◽  
Elana Putterman ◽  
Helena Kuhn ◽  
Carlos Wambier ◽  
...  
Keyword(s):  
Wind Speed ◽  
Alopecia Areata ◽  
Seasonal Pattern ◽  
Rank Correlation ◽  
Air Pressure ◽  
Wind Gust ◽  
Climate Factors ◽  
Uv Index ◽  
History Of ◽  
Flare Frequency

AbstractPatients with alopecia areata (AA) may experience episodic disease flares characterized by increasing hair loss that follow a seasonal pattern. However, no studies have examined whether specific climate factors contribute to the seasonal pattern of AA flares. Using Spearman rank correlation analyses, we assessed the association between climate variables and AA flare frequency per month in 336 children with AA in Philadelphia, Pennsylvania. Region-specific monthly values for average ambient temperature, air pressure, cloudiness, hours of sunlight, relative humidity, number of days with sun, number of days with rain, volume of precipitation, wind gust, wind speed, and UV index from January 2015 to December 2017 were obtained from World Weather Online. We found significant (P < 0.05) correlations between AA flare frequency and UV index (R = − 0.66), precipitation (R = − 0.66), number of days with rain (R = − 0.70), number of days with sun (R = 0.62), and air pressure (R = 0.80). Stratified analyses showed even stronger associations with UV index and precipitation in patients with an atopic comorbidity. New significant correlations appeared with temperature, wind speed, and UV index of the prior month. However, in patients who did not have atopic comorbidities, we generally observed weaker and non-significant correlations between climate and AA flare frequency. This study suggests that certain climate factors may mediate the seasonal pattern of AA flares and may contribute to AA pathogenesis. Atopic AA patients may be more susceptible to the influence of climate compared to those with no history of atopy.

Analysis and balance of phosphorous removal from wastewater at urban wastewater treatment plant

2020 ◽  
Vol 15 (2) ◽  
pp. 142-151
Author(s):  
Peter Lukac ◽  
Lubos Jurik
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Wastewater Treatment Plants ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Phosphorus Recovery ◽  
Anaerobic Sludge ◽  
Biological Phosphorus Removal ◽  
The Mean

Abstract:Phosphorus is a major substance that is needed especially for agricultural production or for the industry. At the same time it is an important component of wastewater. At present, the waste management priority is recycling and this requirement is also transferred to wastewater treatment plants. Substances in wastewater can be recovered and utilized. In Europe (in Germany and Austria already legally binding), access to phosphorus-containing sewage treatment is changing. This paper dealt with the issue of phosphorus on the sewage treatment plant in Nitra. There are several industrial areas in Nitra where record major producers in phosphorus production in sewage. The new wastewater treatment plant is built as a mechanicalbiological wastewater treatment plant with simultaneous nitrification and denitrification, sludge regeneration, an anaerobic zone for biological phosphorus removal at the beginning of the process and chemical phosphorus precipitation. The sludge management is anaerobic sludge stabilization with heating and mechanical dewatering of stabilized sludge and gas management. The aim of the work was to document the phosphorus balance in all parts of the wastewater treatment plant - from the inflow of raw water to the outflow of purified water and the production of excess sludge. Balancing quantities in the wastewater treatment plant treatment processes provide information where efficient phosphorus recovery could be possible. The mean daily value of P tot is approximately 122.3 kg/day of these two sources. The mean daily value of P tot is approximately 122.3 kg/day of these two sources. There are also two outflows - drainage of cleaned water to the recipient - the river Nitra - 9.9 kg Ptot/day and Ptot content in sewage sludge - about 120.3 kg Ptot/day - total 130.2 kg Ptot/day.

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