scholarly journals DESIGN AND REALIZATION OF MONITORING SYSTEM FOR MEASURING AIR TEMPERATURE AND HUMIDITY, WIND DIRECTION AND SPEED

2006 ◽  
Vol 14 (3) ◽  
pp. 127-134 ◽  
Author(s):  
Ján Čimo ◽  
Bernard Šiška
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Wind Direction ◽  
Temperature Sensor ◽  
Humidity Sensor ◽  
Temperature Sensors ◽  
Air Humidity ◽  
Speed Sensor ◽  
Weather Stations ◽  
Better Than

An air humidity sensor based on the capacity principle and programmable digital air temperature sensors are designed in the work. The wind direction and wind speed sensor (anemometer) is based on the optoelectronic principle. Sensors register frequency impulses from the wind fan of the anemometer. Methods and materials conformable with modern electronics and informatics were used. The method of linear regression was used for calibration of sensors. The accuracy of an air temperature sensor was found better than 0,1 °C in the range from ‐55 to 125 °C, and an air humidity sensor was better than 1 % in the range from 0 to 98 %. The anemometer works in the range of wind velocity from 0 to 150 km.h−1 with accuracy better than 1 % to 90 km.h−1 and over 90 km/h better than 3 %. First of all these sensors were proposed for automatic weather stations widely used in the sector of agriculture (microclimatic weather stations), industry and for other technological operations where monitoring of temperature, wind speed, wind direction and humidity is required. The sensors will be used as models for educational purposes at the lessons of biometeorology and climatology too.

scholarly journals KADAR DEBU UDARA PADA BAGIAN PRODUKSI UD.MANDIRI DI DESA TELUK KECAMATAN PURWOKERTO SELATAN KABUPATEN BANYUMAS TAHUN 2018

2019 ◽  
Vol 38 (2) ◽  
pp. 190-198
Author(s):  
Nisa Adelia ◽  
Tri Marthy Mulyasari
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Wind Direction ◽  
Dust Content ◽  
Work Place ◽  
Air Humidity ◽  
Total Dust ◽  
Production Section ◽  
Exposed Workers ◽  
Health And Disease

Air quality is influenced by many things, one of which is pollutants. Wood industry is one of the industries that produce pollutants in the form of dust. Dust-exposed workers are at risk for health and disease complaints, both infectious and non-infectious diseases (cancer). The purpose of this research is to measure the dust, temperature, humidity, wind speed and wind direction in production section of UD. Mandiri In Teluk Village of South Purwokerto Sub District Banyumas District. The type of research used is descriptive. The data were collected through interviews, questionnaires, and documentation. Data is presented in the form of tables, drawings and narratives. The research results  total dust content in production UD.Mandiri got the result of average 2,12 mg/m3 unders the standard Permenkes No. 70 of 2016 at work place the highest dust content is allowed is 10 mg / m3. Measurement of air temperature got the result of average 33,2oC exceeds standard (24oC-26oC). Measurement of air humidity got the result of average 58,8% under standard (65%-95%), Measurement wind speed got the result of average 0,16 m/s standard wind speed (0,15-0,25 m/s), result of wind direction determination more dominant towards the Northeast. The conclusion is total dust content in production UD.Mandiri exceeds the standard Permenkes No. 70 of 2016, air temperature exceeds standard, air humidity under standard, standard wind speed, dominant wind to the Northeast. Efforts that can be made to control the dust levels in the production section are by vacuum cleaner, the owner provides personal protective equipment in accordance with the hazards present in the production section

scholarly journals PENENTUAN FAKTOR-FAKTOR YANG MEMPENGARUHI INTENSITAS CURAH HUJAN DENGAN ANALISIS DISKRIMINAN GANDA DAN REGRESI LOGISTIK MULTINOMIAL (Studi Kasus: Data Curah Hujan Kota Semarang dari Stasiun Meteorologi Maritim Tanjung Emas Periode Oktober 2018 – Maret 2019)

2019 ◽  
Vol 8 (3) ◽  
pp. 398-406
Author(s):  
Shella Faiz Rohmana ◽  
Agus Rusgiyono ◽  
Sugito Sugito
Keyword(s):  
Discriminant Analysis ◽  
Wind Speed ◽  
Conditional Probability ◽  
Air Temperature ◽  
Wind Direction ◽  
Classification Accuracy ◽  
Multiple Discriminant Analysis ◽  
Air Humidity ◽  
Classification Procedure ◽  
Independent Variables

Meteorologist develop rainfall forecasting methods to obtain better and more accurate rainfall information. One of them is the research of grid data and the method of grouping rainfall. According to BMKG, rainfall is classified into light, medium, and heavy rain. This study aims to determine the factors that influencing rainfall grouping using multiple discriminant analysis with a stepwise selection method. This study uses the daily climate data of Semarang City for period of October 2018 to March 2019. Based on its partial F value, the wind speed variable is eliminated so the significant variable on rainfall grouping are air temperature, air humidity, and wind direction. This analysis produces discriminant scores obtained from linear combinations between discriminant weights and observation values of significant independent variable. The classification procedure is based on the discriminant score each observations compared to cutting score resulted in classification accuracy of 62.89%. Multinomial logistic regression analysis is used to determine the effect of independent variables on rainfall intensity using the odds ratio. This analysis produces an estimate of the conditional probability of each group using significant independent variables are air temperature, air humidity, wind speed, and wind direction. The classification procedure is based on the largest conditional probability value between rainfall groups resulted in classification accuracy of 69.80%. Keywords: multiple discriminant analysis, multinomial logistic regresion, classification accuracy, rainfall

scholarly journals Application of Surface Protective Coating to Enhance Environment-Withstanding Property of the MEMS 2D Wind Direction and Wind Speed Sensor

Sensors ◽  
2017 ◽  
Vol 17 (9) ◽  
pp. 2152 ◽  
Author(s):  
Kyu-Sik Shin ◽  
Dae-Sung Lee ◽  
Sang-Woo Song ◽  
Jae Pil Jung
Keyword(s):  
Wind Speed ◽  
Protective Coating ◽  
Wind Direction ◽  
Speed Sensor

scholarly journals The Large-eddy Observatory Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially-distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing

2021 ◽  
Author(s):  
Karl Lapo ◽  
Anita Freundorfer ◽  
Antonia Fritz ◽  
Johann Schneider ◽  
Johannes Olesch ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Boundary Layer ◽  
Wind Speed ◽  
Air Temperature ◽  
Wind Direction ◽  
Fiber Optic ◽  
Layer Structure ◽  
Distributed Sensing ◽  
Near Surface ◽  
Large Eddy

Abstract. The weak-wind Stable Boundary Layer (wwSBL) is poorly described by theory and breaks basic assumptions necessary for observations of turbulence. Understanding the wwSBL requires distributed observations capable of separating between submeso and turbulent scales. To this end, we present the Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19) which featured 1350 m of fiber optic distributed sensing (FODS) of air temperature and wind speed, as well as an experimental wind direction method, at scales as fine as 1 s and 0.127 m in addition to a suite of point observations of turbulence and ground-based remote sensing. Additionally, flights with a fiber optic cable attached to a tethered balloon provide an unprecedented detailed view of the boundary layer structure with a resolution of 0.254 m and 10 s between 1–200 m height. Two examples are provided demonstrating the unique capabilities of the LOVE19 data for examining boundary layer processes: 1) FODS observations between 1m and ~200 m height during a period of gravity waves propagating across the entire boundary layer and 2) tracking a near-surface, transient submeso structure that causes an intermittent burst of turbulence. All data can be accessed at Zenodo through the DOI https://doi.org/10.5281/zenodo.4312976 (Lapo et al., 2020a).

scholarly journals PENGARUH BUKAAN SAMPING (CLERESTORY) TERHADAP KUALITAS KENYAMANAN TERMAL PADA FOOD CARNIVAL, MALL AEON BSD

Vitruvian ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 47
Author(s):  
Tathia Edra Swasti
Keyword(s):  
Wind Speed ◽  
Thermal Comfort ◽  
Air Temperature ◽  
Effective Temperature ◽  
Air Humidity ◽  
Air Velocity ◽  
Predicted Mean Vote ◽  
Air Speed ◽  
The Right

ABSTRAK Mall saat ini marak menggunakan clerestory sebagai salah satu upaya untuk penerangan alami pada siang hari. Namun, cahaya matahari pada sore hari (barat) akan menghasilkan cahaya matahari yang lebih panas dan silau dibandingkan cahaya matahari pada pagi hari (timur). Oleh karena itu, dengan pemakaian clerestory yang cukup besar pada bangunan, masalah panas tentu tak dapat dihindari. Begitu pula dengan glare yang berasal dari pantulan sinar matahari. Salah satu Mall yang menggunakan clerestory adalah Mall AEON BSD. Pengukuran suhu udara, temperatur efektif, kelembaban udara, kecepatan angin, PMV (Predicted Mean Vote) dan PPD (Predicted Percentage of Dissatisfied) dilaksanakan pada 4 waktu dengan 5 lokasi titik ukur yang memiliki kondisi berbeda untuk membuktikan bahwa clerestory dapat mempengaruhi kenyamanan termal. Disimpulkan bahwa titik 2 yaitu titik yang berdekatan dengan clerestory sisi kanan (ukurannya lebih kecil daripada clerestory sisi kiri) memiliki temperatur efektif dan kelembaban udara yang lebih rendah dari titik lain, dan kecepatan udara (dipengaruhi oleh hembusan AC) lebih tinggi dari titik lain. Responden merasa nyaman saat berada di titik tersebut.Titik paling nyaman menurut responden adalah titik 2 dengan TE rata-rata berkisar 27,4˚C, kelembaban udara rata-rata berkisar 52,2%, kecepatan udara rata-rata berkisar 0,15 m/s, PMV berkisar 0,5 dan PPD berkisar 12,7%. Dengan begitu semakin kecil ukuran skylight terbukti mempengaruhi kenyamanan termal dan membuat kenyamanan termal dapat tercapai. Kata Kunci: Mall, Clerestory, PMV, PPD, Kenyamanan Termal ABSTRACT Nowadays mall is decorated with clerestory as an effort to lighten naturally during the day. However, sunlight in the afternoon (west) will produce more sunlight and glare than sunlight in the morning (east). Therefore, with the use of a fairly large clerestory in buildings, the problem of heat certainly can not be avoided. Similarly, glare that comes from the reflection of sunlight. One of the malls that use clerestory is BSD AEON Mall. Measurement of air temperature, effective temperature, air humidity, wind speed, PMV (Predicted Mean Vote) and PPD (Predicted Percentage of Dissatisfied) carried out at 4 times within 5 measuring spots that have different conditions, proving that clerestory can affect thermal comfort. It was concluded that point 2, which is the point adjacent to the right side clerestory (smaller in size than the left side clerestory) has an effective temperature and lower air humidity than other points, and air velocity (affected by blowing AC) is higher than other points. Respondents felt comfortable when they were at that point. The most comfortable point according to respondents was point 2 with TE averaging around 27.4˚C, air humidity averaged 52.2%, the average air speed ranged from 0.15 m / s, PMV ranges from 0.5 and PPD ranges from 12.7%. Thus, the smaller size of the clerestory is affecting thermal comfort and thermal comfort can be achieved. Keywords: Mall, Clerestory, PMV, PPD, Thermal Comfort

scholarly journals Modelling of Multi Input Transfer Function for Rainfall Forecasting in Batu City

CAUCHY ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 29
Author(s):  
Priska Arindya Purnama
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Transfer Function ◽  
Air Temperature ◽  
Multivariate Time Series ◽  
Time Series Model ◽  
Transfer Function Model ◽  
Air Humidity ◽  
Rainfall Forecasting ◽  
Function Model

The aim of this research is to model and forecast the rainfall in Batu City using multi input transfer function model based on air temperature, humidity, wind speed and cloud. Transfer function model is a multivariate time series model which consists of an output series (Y<sub>t</sub>) sequence expected to be effected by an input series (X<sub>t</sub>) and other inputs in a group called a noise series (N<sub>t</sub>). Multi input transfer function model obtained is (<em>b<sub>1</sub>,s<sub>1</sub>,r<sub>1</sub></em>) (<em>b<sub>2</sub>,s<sub>2</sub>,r<sub>2</sub></em>) (<em>b<sub>3</sub>,s<sub>3</sub>,r<sub>3</sub></em>) (<em>b<sub>4</sub>,s<sub>4</sub>,r<sub>4</sub></em>)(<em>p<sub>n</sub>,q<sub>n</sub></em>) = (0,0,0) (23,0,0) (1,2,0) (0,0,0) ([5,8],2) and shows that air temperature on t-day affects rainfall on t-day, rainfall on t-day is influenced by air humidity in the previous 23 days, rainfall on t-day is affected by wind speed in the previous day , and rainfall on day t is affected by clouds on day t. The results of rainfall forecasting in Batu City with multi input transfer function model can be said to be accurate, because it produces relatively small RMSE value. The value of RMSE data forecasting training is 7.7921 while forecasting data testing is 4.2184. Multi-input transfer function model is suitable for rainfall in Batu City.

scholarly journals THIRTEEN YEARS OF WEATHER STATISTICS AT SAN PEDRO MARTIR OBSERVATORY

2020 ◽  
Vol 56 (2) ◽  
pp. 295-319
Author(s):  
I. Plauchu-Frayn ◽  
E. Colorado ◽  
M. G. Richer ◽  
C. Herrera-Vázquez
Keyword(s):  
Seasonal Variation ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Summer Season ◽  
San Pedro ◽  
Weather Stations ◽  
Sierra San Pedro Martir ◽  
Rain Precipitation

We present weather statistics for thirteen years of data gathered with the meteorological stations at Observatorio Astronómico Nacional in the Sierra San Pedro Mártir (OAN-SPM) over the period 2007–2019. These weather stations include sensors that measure various climatological variables. The median values of the air temperature are 10.3° C and 7.0° C for daytime and nighttime, respectively. The relative humidity follows a seasonal variation with April-June being the driest months. The median values for the sustained wind speed are 11 and 14 km hr-1 for daytime and nighttime data, respectively. Preferred wind directions are SSW and North. Sustained winds are stronger at night and during December, January and February. The annual mean rain precipitation is 313 mm, most of which occurs during the summer season as afternoon thunderstorms.

scholarly journals CONTROL SYSTEM FOR TEMPERATURE, HUMIDITY AND TIME PARAMETERS ON ZELIO SMART RELAY-BASED WATERING PROCEDURES

2019 ◽  
Vol 1 (1) ◽  
pp. 12-16
Author(s):  
Irfan Arif ◽  
Akbar Sujiwa
Keyword(s):  
Control System ◽  
Ambient Temperature ◽  
Temperature Sensor ◽  
Humidity Sensor ◽  
Ambient Air ◽  
Air Humidity ◽  
Human Power ◽  
Temperature And Humidity ◽  
Time Parameters

Watering plants usually done manually using human power. that has risk negligence and inaccuracy. also, in time and cost is not efficient. Another factor that can affect the quality of crops is a factor of humidity and temperature. For those reason, writers made a tool that can work according to the level of humidity and temperature automatically and continuously. This tool uses Zelio Smart Relay as automatic controller. The 808H5V5 humidity sensor and LM35 temperature sensor is used as input. The LM35 temperature sensor detect the ambient temperature, where as 808H5V5 humidity sensor detect ambient air humidity, and time of watering adapted to the Smart Relay timer. The entire sensor input is programmed using ZELIO SOFT 2. Setting the temperature and humidity when the detected 30oC and >70% as well as the timeshows at 08.30 – 09.00 am and 16.00 – 16.30 pm the pump will automatically ON.

Wind Turbulence Behavior and Study of Tower Distortion and Scatter Factors

2014 ◽  
Author(s):  
Shafiqur Rehman ◽  
Luai M. Al-Hadhrami
Keyword(s):  
Wind Speed ◽  
Wind Direction ◽  
Scatter Factor ◽  
Distortion Factor ◽  
Shading Effect ◽  
Speed Sensor ◽  
Wind Turbulence ◽  
Mean Wind Speed

The performance of wind speed sensors installed at different heights on a 40-meter mast was evaluated during 3 months between July 01, 2006 and April 01, 2009. This evaluation involved estimating the tower distortion factor (TDF) and the scatter factor, and studying the correlation between the co-located wind speed sensors. A total of 23,730 hourly mean wind speed records were used to evaluate each sensor. The overall values of the tower distortion of the wind speed measured by sensors installed at 40 and 30m were found to be 0.025 and 0.021 without tower shading, and 0.047 and 0.035 with tower shading. As indicated by the slightly decreasing TDF values the wind speed measured by the sensors is not distorted with time. Tower shading effect for the wind speed sensor WS5 at 40 meters is pronounced (>1) when wind direction range from 169° to 195°, while that for the wind speed sensors at 30 meters and WS6 at 40 meters, it is less than one when the wind direction is in the 240° to 270° range. The wind speed sensors at 30meters displayed similar behavior and the scatter factor for wind speed sensors at 40meters is higher than that for those at 30meters.

Sign in / Sign up

Export Citation Format

Share Document