Empirical Formulas Between Outdoor Temperature And Humidity

被引:1
作者
Wijonarko, Sensus [1 ]
Mahmudi [2 ]
Maftukhah, Tatik [1 ]
Rustandi, Dadang [3 ]
Purwowibowo [1 ]
Widiyatmoko, Bambang [2 ]
Bayuwati, Dwi [1 ]
Sirenden, Bernadus H. [1 ]
Prakosa, Jalu A. [1 ]
Hidayat, Asep Rahmat [2 ]
Mandaris, Dwi
Firdaus, Himma
Hidayat, Siddiq Wahyu [2 ]
机构
[1] BRIN, Res Ctr Phys, Tangerang Selatan, Indonesia
[2] BRIN, Res Ctr Testing Technol, Tangerang Selatan, Indonesia
[3] Instrumentat Dev Unit BRIN Bandung, Bandung, Indonesia
来源
2021 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND INFORMATION ENGINEERING (ICEEIE 2021) | 2021年
关键词
temperature; humidity; temperature and humidity correlation; piecewise linear regression method;
D O I
10.1109/ICEEIE52663.2021.9616692
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Outdoor temperature and humidity are vital variables for many aspects of life, such as determining the electrical and electronic component lifetime. However, an existing relationship between outdoor temperature and humidity in our ordinary mind is in exponential form. Hence, it isn't easy to imagine their correlation straightly. This study was devoted to obtaining a more straightforward format to connect outdoor temperature and humidity. More than fifty thousand latest data were collected using automatic measurements to both variables for 12 months at our Hydrometeorological Monitoring Station. This station location is on Research Center for Physics - BRIN (Badan Riset Dan Inovasi Nasional, National Research and Innovation Agency Republic of Indonesia). Data analysis used the piecewise linear regression method, a method that is usually used for diode analysis. This method was also suitable with the collected data, and the purpose of this research was to make a simple relation between temperature and humidity. The result shows that there were 12 linear equations where their constants were a little bit different as a function of the month. Applying one of these equations to the suitable case, we can predict humidity data lost if we know the temperature and vice versa. This study should be expanded in the future for data from four-season countries due to contrasting climates between tropical countries and subtropical countries.
引用
收藏
页码:284 / 289
页数:6
相关论文
共 41 条
[1]  
Abdo P, 2018, ASME FLUID ENG DIV
[2]  
Adhiwibowo W., 2020, TRANSFORMTIKA, V17, P209, DOI 10.26623/transformatika.v17i2.1820
[3]  
Al-Ataby Iqbal, 2021, Al-Mustansiriyah Journal of Science, V32, P1, DOI [10.23851/mjs.v32i2.975, DOI 10.23851/MJS.V32I2.975]
[4]  
[Anonymous], SIMPLE LINEAR REGRES, P401
[5]  
Behara O., 2019, RENEW SUST ENERG REV, V116, P1
[6]  
Collier C.G., 2016, Hydrometeorology
[7]   Optical fibre sensor for simultaneous temperature and relative humidity measurement: Towards absolute humidity evaluation [J].
He, Chenyang ;
Korposh, Serhiy ;
Correia, Ricardo ;
Liu, Liangliang ;
Hayes-Gill, Barrie R. ;
Morgan, Stephen P. .
SENSORS AND ACTUATORS B-CHEMICAL, 2021, 344
[8]  
He Y., 2019, OPT FIBER TECHNOL, V53, P1
[9]   Empirical relationship for humidity and temperature at Quetta, Pakistan [J].
Ilyas, Syed Zafar ;
Nasir, S. M. ;
Kaplan, Yuksel .
MATHEMATICAL AND COMPUTER MODELLING, 2009, 50 (9-10) :1495-1497
[10]   Human responses to high humidity in elevated temperatures for people in hot-humid climates [J].
Jin, Ling ;
Zhang, Yufeng ;
Zhang, Zhongjun .
BUILDING AND ENVIRONMENT, 2017, 114 :257-266