Windtech – A Sensory Device for ‘Cold’ Sensation Measurements

Abstract: Windtech device is a novel tool for measuring the sensation of the ‘cold’. Cold poses numerous challenges for industrial operations, human survival, and living convenience. The impact of the cold is not possible to be quantified just based on temperatures; however other factors such as wind speed, humidity, irradiance have to be taken into consideration. Efforts have been made to develop combined indices such as wind chill temperature (WCT), AccuWeather RealFeel®, and others. The presented article discusses these along with the industrial standards that emphasize on the quantification of the ‘cold’. The following article introduces the Windtech device and its operating principle involving ‘heated temperature’, where the ‘heated temperature’ is affected by environmental parameters including ambient temperature, humidity, wind velocity, and irradiance. The discussed Windtech device is calibrated for operation according to the ISO 11079:2007 standard.

Download Full-text

Assessment of AIR Quality Index for Delhi region: A comparison between odd-even policy 2019 and Lock Down Period.

10.31219/osf.io/9r2hu ◽

2021 ◽

Author(s):

Chesta Dhingra

Keyword(s):

Air Quality ◽

Wind Speed ◽

Ambient Temperature ◽

Quality Index ◽

Winter Season ◽

Air Quality Index ◽

Machine Learning Algorithms ◽

Accurate Estimation ◽

Pm10 And Pm2.5 ◽

The Impact

The aim behind doing this research is to analyse the impact of odd-even policy andlockdown implementation on the air quality index of Delhi by doing the case study on the fourregions Ashok Vihar, Anand Vihar, Dwarka and R.K. Puram. The data is been collected fromDPCC and the main parameters we looked for are PM10 and PM2.5. In which we find out that.highest levels of the pollutants PM10 and PM2.5 been observed during the time of odd-evenpolicy implementation for the year 2019 (04 November 2019- 15 November 2019) whereasduring the lockdown period (23 March 2020-31st August 2020) a great decline in pollutantlevels is been detected. This we further try to correlate with the spatial variations of Delhiregion and able to discern that meteorological parameters (Ambient Temperature, RelativeHumidity, Wind Speed and Solar Radiations) in respect with seasonal variations have a majorinfluence on PM 10 and PM 2.5 levels. During the winter season both the parameters PM10& PM2.5 are touching the peak because of the impact of three major meteorological parametersAmbient Temperature, Wind Speed and Solar Radiation and during the monsoon season airquality conditions are quite favourable because of Ambient Temperature and Wind Speedparameters. In the end we use the ensembled machine learning algorithms like Random Forestand Extra trees regressor to have an accurate estimation of PM2.5 levels for all the four regionsof Delhi and perceived that these ensembled learning techniques are better than other machinelearning algorithms like Neural Networks, Linear regression and SVMs. The Random Forestand Extra trees regressor models give the R2value 0.75 and 0.78 respectively for estimation ofPM2.5; R2 value is a statistical measurement which explains the variance of dependent variablebased on the independent variables of a regression model.

Download Full-text

On the Impact of Trees on Ventilation in a Real Street in Pamplona, Spain

Atmosphere ◽

10.3390/atmos10110697 ◽

2019 ◽

Vol 10 (11) ◽

pp. 697 ◽

Cited By ~ 4

Author(s):

Jose-Luis Santiago ◽

Riccardo Buccolieri ◽

Esther Rivas ◽

Beatriz Sanchez ◽

Alberto Martilli ◽

...

Keyword(s):

Wind Speed ◽

Kinetic Energy ◽

Turbulent Kinetic Energy ◽

Wind Velocity ◽

Flow Direction ◽

Pollutant Dispersion ◽

Average Concentration ◽

Pollutant Concentration ◽

Prevailing Wind Direction ◽

The Impact

This paper is devoted to the quantification of changes in ventilation of a real neighborhood located in Pamplona, Spain, due to the presence of street trees Pollutant dispersion in this urban zone was previously studied by means of computational fluid dynamic (CFD) simulations. In the present work, that research is extended to analyze the ventilation in the whole neighborhood and in a tree-free street. Several scenarios are investigated including new trees in the tree-free street, and different leaf area density (LAD) in the whole neighborhood. Changes between the scenarios are evaluated through changes in average concentration, wind speed, flow rates and total pollutant fluxes. Additionally, wind flow patterns and the vertical profiles of flow properties (e.g., wind velocity, turbulent kinetic energy) and concentration, horizontally-averaged over one particular street, are analyzed. The approach-flow direction is almost perpendicular to the street under study (prevailing wind direction is only deviated 4º from the perpendicular direction). For these conditions, as LAD increases, average concentration in the whole neighborhood increases due to the decrease of wind speed. On the other hand, the inclusion of trees in the street produces an increase of averaged pollutant concentration only within this street, in particular for the scenario with the highest LAD value. In fact, the new trees in the street analyzed with the highest LAD value notably change the ventilation producing an increase of total pollutant fluxes inward the street. Additionally, pollutant dispersion within the street is also influenced by the reduction of the wind velocity along the street axis and the decrease of turbulent kinetic energy within the vegetation canopy caused by the new trees. Therefore, the inclusion of new trees in a tree-free street should be done by considering ventilation changes and traffic emissions should be consequently controlled in order to keep pollutant concentration within healthy levels.

Download Full-text

ON THE EVALUATION OF WORKING CONDITIONS IN OPEN AREA IN THE WINTER SEASON

Hygiene and Sanitation ◽

10.18821/0016-9900-2019-98-4-424-427 ◽

2019 ◽

Vol 98 (4) ◽

pp. 424-427 ◽

Cited By ~ 2

Author(s):

R. S. Rakhmanov ◽

D. A. Gadzhiibragimov ◽

G. G. Bakhmydov ◽

M. Kh. Alikberov ◽

A. V. Tarasov

Keyword(s):

Wind Speed ◽

Ambient Temperature ◽

Working Conditions ◽

Climatic Conditions ◽

Maximum Wind Speed ◽

Human Organism ◽

Average Speed ◽

Maximum Wind ◽

Method Of Evaluation ◽

The Impact

Introduction. The evaluation of the impact influence of weather and climatic conditions on humans in cold (winter) period was done since there was not the method of evaluation of working conditions according to the degree of harmfulness and danger. Also, the sanitary norms and rules 2.2.4.3359-16 does not contain the method of risk evaluation of the influence of factors upon the human organism. Мaterial and Methods. The authors evaluated the influence of various combinations of ambient temperature and wind speed upon under conditions of IV climatic region in I zone (the Republic of Dagestan - at an altitude of 4 m., 1040 m. and 1661 m above sea level and the Kaliningrad region) according to wind cooling. It was found a possible discomfort sensation at an average speed of winds and temperatures (wind cooling index (WCI) more 763,7 Kcal/m2) as well as overcooling risk in combinations of average temperature and maximum wind speed, an average speed of the wind and the minimum temperature. Maximum wind speeds in combination with minimal temperatures exceeded WCI threshold by 1,25-2,1 times. It should be noted that the studies were conducted under conditions of an increased humidity which had a negative influence upon the human organism, but in combination with the high wind speed and low temperatures, the effect might be more considerable. results. In accordance with the method, in attachment 17 in manual Р 2.2.2006-05, working conditions were classified as harmful. By calculation on indices of the minimal temperature and maximum wind speed, indices of equivalent temperatures reached up to considerable values. Probably, the use of the method does not prove its value. conclusion. The fixing of complex influence (in the cold period) of air velocity, ambient temperature, air humidity and detecting of health risk due to weather and climatic conditions remain a topical theoretical and practical problem.

Download Full-text

The ground-level ozone concentration is inversely correlated with the number of COVID-19 cases in Warsaw, Poland

Air Quality Atmosphere & Health ◽

10.1007/s11869-021-01009-7 ◽

2021 ◽

Author(s):

Oskar Wiśniewski ◽

Wiesław Kozak ◽

Maciej Wiśniewski

Keyword(s):

Wind Speed ◽

Ozone Concentration ◽

Inverse Correlation ◽

Ground Level ◽

Viral Agent ◽

The Novel ◽

Weather Factors ◽

Ground Level Ozone ◽

The Many ◽

The Impact

AbstractCOVID-19, which is a consequence of infection with the novel viral agent SARS-CoV-2, first identified in China (Hubei Province), has been declared a pandemic by the WHO. As of September 10, 2020, over 70,000 cases and over 2000 deaths have been recorded in Poland. Of the many factors contributing to the level of transmission of the virus, the weather appears to be significant. In this work, we analyze the impact of weather factors such as temperature, relative humidity, wind speed, and ground-level ozone concentration on the number of COVID-19 cases in Warsaw, Poland. The obtained results show an inverse correlation between ground-level ozone concentration and the daily number of COVID-19 cases.

Download Full-text

Evaluation the effect of the ambient temperature on the liquid petroleum gas transportation pipeline

Chemical Product and Process Modeling ◽

10.1515/cppm-2021-0024 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Ammar Ali Abd ◽

Samah Zaki Naji ◽

Ching Thian Tye ◽

Mohd Roslee Othman

Keyword(s):

Energy Consumption ◽

Greenhouse Gases ◽

Ambient Temperature ◽

Phase Change ◽

Liquid State ◽

Pump Energy ◽

Compressible Liquid ◽

Liquefied Petroleum Gas ◽

Efficient Design ◽

The Impact

Abstract Liquefied petroleum gas (LPG) plays a major role in worldwide energy consumption as a clean source of energy with low greenhouse gases emission. LPG transportation is exhibited through networks of pipelines, maritime, and tracks. LPG transmission using pipeline is environmentally friendly owing to the low greenhouse gases emission and low energy requirements. This work is a comprehensive evaluation of transportation petroleum gas in liquid state and compressible liquid state concerning LPG density, temperature and pressure, flow velocity, and pump energy consumption under the impact of different ambient temperatures. Inevitably, the pipeline surface exchanges heat between LPG and surrounding soil owing to the temperature difference and change in elevation. To prevent phase change, it is important to pay attention for several parameters such as ambient temperature, thermal conductivity of pipeline materials, soil type, and change in elevation for safe, reliable, and economic transportation. Transporting LPG at high pressure requests smaller pipeline size and consumes less energy for pumps due to its higher density. Also, LPG transportation under moderate or low pressure is more likely exposed to phase change, thus more thermal insulation and pressure boosting stations required to maintain the phase envelope. The models developed in this work aim to advance the existing knowledge and serve as a guide for efficient design by underling the importance of the mentioned parameters.

Download Full-text

Measurement of the Sea Surface Height with Airborne GNSS Reflectometry and Delay Bias Calibration

Remote Sensing ◽

10.3390/rs13153014 ◽

2021 ◽

Vol 13 (15) ◽

pp. 3014

Author(s):

Feng Wang ◽

Dongkai Yang ◽

Guodong Zhang ◽

Jin Xing ◽

Bo Zhang ◽

...

Keyword(s):

Wind Speed ◽

Arrival Time ◽

Elevation Angle ◽

Satellite System ◽

Sea Surface Height ◽

Antenna Pattern ◽

Sea Surface ◽

Observation Method ◽

Global Navigation Satellite ◽

The Impact

Sea surface height can be measured with the delay between reflected and direct global navigation satellite system (GNSS) signals. The arrival time of a feature point, such as the waveform peak, the peak of the derivative waveform, and the fraction of the peak waveform is not the true arrival time of the specular signal; there is a bias between them. This paper aims to analyze and calibrate the bias to improve the accuracy of sea surface height measured by using the reflected signals of GPS CA, Galileo E1b and BeiDou B1I. First, the influencing factors of the delay bias, including the elevation angle, receiver height, wind speed, pseudorandom noise (PRN) code of GPS CA, Galileo E1b and BeiDou B1I, and the down-looking antenna pattern are explored based on the Z-V model. The results show that (1) with increasing elevation angle, receiver height, and wind speed, the delay bias tends to decrease; (2) the impact of the PRN code is uncoupled from the elevation angle, receiver height, and wind speed, so the delay biases of Galileo E1b and BeiDou B1I can be derived from that of GPS CA by multiplication by the constants 0.32 and 0.54, respectively; and (3) the influence of the down-looking antenna pattern on the delay bias is lower than 1 m, which is less than that of other factors; hence, the effect of the down-looking antenna pattern is ignored in this paper. Second, an analytical model and a neural network are proposed based on the assumption that the influence of all factors on the delay bias are uncoupled and coupled, respectively, to calibrate the delay bias. The results of the simulation and experiment show that compared to the meter-level bias before the calibration, the calibrated bias decreases the decimeter level. Based on the fact that the specular points of several satellites are visible to the down-looking antenna, the multi-observation method is proposed to calibrate the bias for the case of unknown wind speed, and the same calibration results can be obtained when the proper combination of satellites is selected.

Download Full-text

A novel mouse model of heatstroke accounting for ambient temperature and relative humidity

Journal of Intensive Care ◽

10.1186/s40560-021-00546-8 ◽

2021 ◽

Vol 9 (1) ◽

Author(s):

Kazuyuki Miyamoto ◽

Keisuke Suzuki ◽

Hirokazu Ohtaki ◽

Motoyasu Nakamura ◽

Hiroki Yamaga ◽

...

Keyword(s):

Gene Expression ◽

Body Temperature ◽

Relative Humidity ◽

Ambient Temperature ◽

Core Body Temperature ◽

Heat Exposure ◽

Organ Damage ◽

Core Body ◽

The Impact ◽

Treatment Water

Abstract Background Heatstroke is associated with exposure to high ambient temperature (AT) and relative humidity (RH), and an increased risk of organ damage or death. Previously proposed animal models of heatstroke disregard the impact of RH. Therefore, we aimed to establish and validate an animal model of heatstroke considering RH. To validate our model, we also examined the effect of hydration and investigated gene expression of cotransporter proteins in the intestinal membranes after heat exposure. Methods Mildly dehydrated adult male C57/BL6J mice were subjected to three AT conditions (37 °C, 41 °C, or 43 °C) at RH > 99% and monitored with WetBulb globe temperature (WBGT) for 1 h. The survival rate, body weight, core body temperature, blood parameters, and histologically confirmed tissue damage were evaluated to establish a mouse heatstroke model. Then, the mice received no treatment, water, or oral rehydration solution (ORS) before and after heat exposure; subsequent organ damage was compared using our model. Thereafter, we investigated cotransporter protein gene expressions in the intestinal membranes of mice that received no treatment, water, or ORS. Results The survival rates of mice exposed to ATs of 37 °C, 41 °C, and 43 °C were 100%, 83.3%, and 0%, respectively. From this result, we excluded AT43. Mice in the AT 41 °C group appeared to be more dehydrated than those in the AT 37 °C group. WBGT in the AT 41 °C group was > 44 °C; core body temperature in this group reached 41.3 ± 0.08 °C during heat exposure and decreased to 34.0 ± 0.18 °C, returning to baseline after 8 h which showed a biphasic thermal dysregulation response. The AT 41 °C group presented with greater hepatic, renal, and musculoskeletal damage than did the other groups. The impact of ORS on recovery was greater than that of water or no treatment. The administration of ORS with heat exposure increased cotransporter gene expression in the intestines and reduced heatstroke-related damage. Conclusions We developed a novel mouse heatstroke model that considered AT and RH. We found that ORS administration improved inadequate circulation and reduced tissue injury by increasing cotransporter gene expression in the intestines.

Download Full-text

Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques

Water ◽

10.3390/w13060793 ◽

2021 ◽

Vol 13 (6) ◽

pp. 793

Author(s):

Abdul Razzaq Ghumman ◽

Mohammed Jamaan ◽

Afaq Ahmad ◽

Md. Shafiquzzaman ◽

Husnain Haider ◽

...

Keyword(s):

Wind Speed ◽

Water Resources ◽

Arid Regions ◽

Fuzzy Inference ◽

Sunshine Duration ◽

Pan Evaporation ◽

Estimation Of Parameters ◽

Inference System ◽

Daunting Task ◽

The Impact

The evaporation losses are very high in warm-arid regions and their accurate evaluation is vital for the sustainable management of water resources. The assessment of such losses involves extremely difficult and original tasks because of the scarcity of data in countries with an arid climate. The main objective of this paper is to develop models for the simulation of pan-evaporation with the help of Penman and Hamon’s equations, Artificial Neural Networks (ANNs), and the Artificial Neuro Fuzzy Inference System (ANFIS). The results from five types of ANN models with different training functions were compared to find the best possible training function. The impact of using various input variables was investigated as an original contribution of this research. The average temperature and mean wind speed were found to be the most influential parameters. The estimation of parameters for Penman and Hamon’s equations was quite a daunting task. These parameters were estimated using a state of the art optimization algorithm, namely General Reduced Gradient Technique. The results of the Penman and Hamon’s equations, ANN, and ANFIS were compared. Thirty-eight years (from 1980 to 2018) of manually recorded pan-evaporation data regarding mean daily values of a month, including the relative humidity, wind speed, sunshine duration, and temperature, were collected from three gauging stations situated in Al Qassim, Saudi Arabia. The Nash and Sutcliffe Efficiency (NSE) and Mean Square Error (MSE) evaluated the performance of pan-evaporation modeling techniques. The study shows that the ANFIS simulation results were better than those of ANN and Penman and Hamon’s equations. The findings of the present research will help managers, engineers, and decision makers to sustainability manage natural water resources in warm-arid regions.

Download Full-text

The impact of environmental variables on the spread of COVID-19 in the Republic of Korea

Scientific Reports ◽

10.1038/s41598-021-85493-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yong Kwan Lim ◽

Oh Joo Kweon ◽

Hye Ryoun Kim ◽

Tae-Hyoung Kim ◽

Mi-Kyung Lee

Keyword(s):

Environmental Factors ◽

Virus Disease ◽

Environmental Parameters ◽

Environmental Data ◽

Republic Of Korea ◽

Metropolitan Region ◽

Health Concern ◽

Ozone Level ◽

The Republic ◽

The Impact

AbstractCorona virus disease 2019 (COVID-19) has been declared a global pandemic and is a major public health concern worldwide. In this study, we aimed to determine the role of environmental factors, such as climate and air pollutants, in the transmission of COVID-19 in the Republic of Korea. We collected epidemiological and environmental data from two regions of the Republic of Korea, namely Seoul metropolitan region (SMR) and Daegu-Gyeongbuk region (DGR) from February 2020 to July 2020. The data was then analyzed to identify correlations between each environmental factor with confirmed daily COVID-19 cases. Among the various environmental parameters, the duration of sunshine and ozone level were found to positively correlate with COVID-19 cases in both regions. However, the association of temperature variables with COVID-19 transmission revealed contradictory results when comparing the data from SMR and DGR. Moreover, statistical bias may have arisen due to an extensive epidemiological investigation and altered socio-behaviors that occurred in response to a COVID-19 outbreak. Nevertheless, our results suggest that various environmental factors may play a role in COVID-19 transmission.

Download Full-text

Airflow Characteristics According to the Change in the Height and Porous Rate of Building Roofs for Efficient Installation of Small Wind Power Generators

Sustainability ◽

10.3390/su13105688 ◽

2021 ◽

Vol 13 (10) ◽

pp. 5688

Author(s):

Jangyoul You ◽

Kipyo You ◽

Minwoo Park ◽

Changhee Lee

Keyword(s):

Wind Speed ◽

Wind Power ◽

Turbulence Intensity ◽

Flow Characteristics ◽

High Porosity ◽

Power Generators ◽

Speed Reduction ◽

Reduction Effect ◽

Wind Power Generators ◽

The Impact

In this paper, the air flow characteristics and the impact of wind power generators were analyzed according to the porosity and height of the parapet installed in the rooftop layer. The wind speed at the top was decreasing as the parapet was installed. However, the wind speed reduction effect was decreasing as the porosity rate increased. In addition, the increase in porosity significantly reduced turbulence intensity and reduced it by up to 40% compared to no railing. In the case of parapets with sufficient porosity, the effect of reducing turbulence intensity was also increased as the height increased. Therefore, it was confirmed that sufficient parapet height and high porosity reduce the effect of reducing wind speed by parapets and significantly reducing the turbulence intensity, which can provide homogeneous wind speed during installation of wind power generators.

Download Full-text