Development of a hot weather warning tool for heat index monitoring in Thailand 10.55131/jphd/2023/210301

Main Article Content

Wutthichai Paengkaew
Atsamon Limsakul
Eakkachai Kokkaew
Sirapong Sooktawee
Prachaya Muangnim
Orasa Naban
Nidalak Aroonchan
Aduldech Patpai
Kittiwan Kitpakornsanti
Asadorn Kammuang

Abstract

This study aims to develop and test an extremely hot weather warning tool. The tool consists of a Node MCU ESP8266 microcontroller, air temperature and relative humidity sensor (DHT22), real time clock module (DS3231), micro-SD-card adapter (HW-125), display screen (2004A), and breadboard-shield. It is connected and controlled by Arduino IDE program. Its measurement ranges for temperature, humidity, and heat index are <10 to >50°C, 0 to 100%, and <27 to >50°C, respectively. This device also presents real-time health impacts by displaying one of five warning levels, namely 1) normal level (HI < 27°C), 2) caution level (HI 27°C to <32°C), 3) extreme caution level (HI 32°C to <41°C), 4) danger level (HI 41°C to <54°C), and 5) extreme danger level (HI ≥ 54°C). The data can be directly transferred to a computer by a card adapter. Based on validation with the occupational health and safety standards instrument, no outliers or missing data were found. HIEHT had a highly positive correlation with HIQT36 (r=0.99; p<0.01; n=4,182). Heat Index data measured by this tool was found to have acceptable values with a bias of 0.54 and RMSE of 0.99. For the pilot areas tested, it was found that the extremely hot weather warning tool can fully measure and record, as well as continuously display the results according to the tested date and time. These results show that the developed tool is a simple, easy-to-use, inexpensive, tiny, and portable instrument that can be used to monitor and measure heat to widely communicate extremely hot weather warning information to vulnerable groups and the general public in the community.

Article Details

How to Cite
1.
Paengkaew W, Atsamon Limsakul, Eakkachai Kokkaew, Sirapong Sooktawee, Prachaya Muangnim, Orasa Naban, Nidalak Aroonchan, Aduldech Patpai, Kittiwan Kitpakornsanti, Asadorn Kammuang. Development of a hot weather warning tool for heat index monitoring in Thailand: 10.55131/jphd/2023/210301. J Public Hlth Dev [Internet]. 2023 Aug. 9 [cited 2024 Dec. 22];21(3):1-18. Available from: https://he01.tci-thaijo.org/index.php/AIHD-MU/article/view/262548
Section
Original Articles
Author Biographies

Wutthichai Paengkaew, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Atsamon Limsakul, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Eakkachai Kokkaew, Faculty of Technology and Environment, Prince of Songkhla University, Phuket Campus, Phuket, Thailand

Faculty of Technology and Environment, Prince of Songkhla University, Phuket Campus, Phuket, Thailand

Sirapong Sooktawee, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Prachaya Muangnim, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Orasa Naban, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Nidalak Aroonchan, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Aduldech Patpai, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Kittiwan Kitpakornsanti, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Asadorn Kammuang, Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

Environmental Research and Training Center, Department of Environmental Quality Promotion, Technopolis, Pathum Thani, Thailand

References

Dosio A, Mentaschi L, Fischer EM, Wyser K. Extreme heat waves under 1.5oC and 2oC global warming. Environ Res Lett. 2018; 13(5):054006. doi: 10.1088/1748-9326/aab827

Bárcena-Martín E, Molina J, Hueso P, Ruiz-Sinoga JD. A Class of Indices and a Graphical Tool to Monitor Temperature Anomalies. Air Soil Water Res. 2020; 13:1-11. doi:10.1177/ 1178622120938384.

Pascal M, Lagarrigue R, Tabai A, Bonmarin I, Camail S, Laaidi K, et al. Evolving heat waves characteristics challenge heat warning systems and prevention plans. Int J Biometeorol. 2021;65(10):1683-94. doi: 10.1007/ s00484-021-02123-y.

IPCC. Summary for Policymakers. In: Masson-Delmotte V, Zhai P, Pirani A, Connors C. PéanS, Berger N, et al, editors. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA; 2021. p.3-32.

Kravchenko J, Abernethy AP, Fawzy M, Lyerly HK. Minimization of heatwave morbidity and mortality. Am J Prev Med. 2013;44(3):274-82. doi: 10.1016/j.amepre.2012.11.015.

Ncongwane KP, Botai JO, Sivakumar V, Botai CM, Adeola AM. Characteristics and Long-Term Trends of Heat Stress for South Africa. Sustainability. 2021;13(23):13249.

World Bank Group and Asian Development Bank. Climate Risk Country Profile: Thailand. [Internet]. 2021 [cited 2022 Dec 8]. Available from: file:///C:/Users/Lenovo/Downloads/ climate-risk-country-profile-thailand%20(1).pdf.

Amnuaylojaroen T, Parasin N. The Future Extreme Temperature under RCP8.5 Reduces the Yields of Major Crops in Northern Peninsular of Southeast Asia. ScientificWorld Journal. 2022;2022:1410849. doi: 10.1155/2022/1410849.

Paengkaew W, Limsakul A, Junggoth R, Pitaksanurat S. Variability and Trend of Heat Index in Thailand during 1975-2017 and Their Relationships with Some Demographic-Health Variables. EnvironmentAsia. 2020;13(1):26-40.

World Health Organization. Climate and health country profile 2015: Thailand. [Internet]. 2015 [cited 2022 Dec 14]. Available from: https:// apps.who.int/iris/bitstream/

handle/10665/208870/WHO_FWC_PHE_EPE_15.16_eng.pdf?sequence=1&isAllowed=y.

Department of Disease Control, Ministry of Public Health. Occupational and Environmental Disease Control Situation Report [Internet]. 2016 [cited 2022 Dec 22]. Available from: https://ddc.moph.go.th/ uploads/ckeditor2//files/01_envocc_situation_59.pdf.

Tawatsupa B, Dear K, Kjellstrom T, Sleigh A, Samakkeekarom R. Association between Temperature and Mortality among the Working Age Population in Thailand from 1999 to 2008. J Popul Soc Stud. 2014;22(2):192-201.

Nillaor P, Sriwichian A, Wanichsombat A, Kajornkasirat S, Boonjing V, Muangprathub J. Development of Elderly Life Quality Database in Thailand with a Correlation Feature Analysis. Sustainability. 2022;14(8): 4468.

Department of Health, Ministry of Public Health. Guidelines for monitoring and communicating public health warnings to support health impacts heat case. [Internet]. 2020 [cited 2023 Jan 10]. Available from: https://hia.anamai.moph.go.th/web-upload/12xb1c83353535e43f224a05e184d8fd75a/m_magazine/35644/2910/file_download/91f0534b3c54ba2c83f041c794bf476a.pdf.

Thai Meteorological Department. Meteorological stations Thailand [Internet]. 2022 [cited 2023 Jan 20]. Available from: https://www.tmd.go.th/ media/PDF/service_tmd_

stations63.pdf.

Schwingshackl C, Sillmann J, Vicedo‐Cabrera AM, Sandstad M, Aunan K. Heat Stress Indicators in CMIP6: Estimating Future Trends and Exceedances of Impact-Relevant Thresholds. Earths Future. 2021;9(3): e2020EF001885.

Parsons K. Human thermal environments: The Effects of Hot, Moderate, and Cold Environments on Human Health, Comfort, and Performance. 3rd Edition. Boca Raton: CRC Press; 2014.

World Meteorological Organization and World Health Organization. Heatwaves and Health: Guidance on Warning-System Development. In: McGregor GR, Bessemoulin P, Ebi K, Menne B, editors. Switzerland; 2015. p.1-94.

Steadman RG. The Assessment of Sultriness. Part II: Effects of Wind, Extra Radiation and Barometric Pressure on Apparent Temperature. Journal of Applied Meteorology and Climatology. 1979;18(7):874-85. doi: https://doi.org/10.1175/1520-0450 (1979)018<0874:TAOSPI>2.0.CO;2

Bamodu O, Xia L, Tang L. An indoor environment monitoring system using low-cost sensor network. Energy Procedia. 2017;141:660-6. doi: https://doi.org/10.1016/j.egypro.2017.11.089

Sharma M, Suri NM, Kant S. Analyzing occupational heat stress using sensor-based monitoring: a wearable approach with environmental ergonomics perspective. Int J Environ Sci Technol (Tehran). 2022;19(11):11421-34. doi: 10.1007/s13762-021-03862-6

Louis L. Working Principle of Arduino and Using it as a Tool for Study and Research. Int. J Control Autom Commun Syst. 2016;1(2):21-9.

Parihar YS. Internet of Things and Nodemcu A review of use of Nodemcu ESP8266 in IoT products. JETIR. 2019;6(6):1085-88.

Ierardi AM, Pavilonis B. Heat stress risk among New York City public school kitchen workers: a quantitative exposure assessment. J Occup Environ Hyg. 2020;17(7-8):353-63. doi: 10.1080/15459624.2020.1776300.

Seng M, Ye M, Choy K, Ho SF. Heat stress in rice vermicelli manufacturing factories. Int J Occup Environ Health. 2018;24(3-4):119-25. doi: 10.1080/ 10773525.2018.1522102

TSI Incorporated. QuesTemp Heat Stress Monitors Models 34 and 36. [Internet]. 2018 [cited 2019 Jan 20]. Available from: https://tsi.com/ getmedia/6fec2ac2-913f-48c4-b4fb-36fe8e233436/QUESTemp34_36_User_Manual_056-663_RevJ?ext=.pdf.

Kwak SK, Kim JH. Statistical data preparation: management of missing values and outliers. Korean J Anesthesiol. 2017;70(4):407-11. doi: 10.4097/kjae.2017.70.4.407

Saccenti E, Hendriks M, Smilde AK. Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models. Sci Rep. 2020;10(1):438. doi: 10.1038/s41598-019-57247-4

Harwell M. A Strategy for Using Bias and RMSE as Outcomes in Monte Carlo Studies in Statistics. JMASM. 2018;17(2):2938. doi: 10.22237/ jmasm/1551907966

Wang W, Lu Y. Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model. IOP Conf. Ser.: Mater. Sci. Eng. 2018;324(1): 012049. doi: 10.1088/1757-899X/324/ 1/012049

Bamodu O, Xia L, Tang L. An indoor environment monitoring system using low-cost sensor network. Energy Procedia. 2017;141:660-6. doi: https://doi.org/10.1016/j.egypro.2017.11.089

Nurcahya ME, Fianti F, Yulianti I. Development of Air Temperature Measurement Using LM35 Sensor Based on Nodemcu Microcontroller and Internet of Things (IoT). Phys Comm. 2021;5(1):18-22.

Tayeb MS, Benallal MA, Benabadji MS, Houari A. IoT monitoring system for air quality assessment and collecting data. Indones J Electr Eng Comput Sci. 2022;28(3):1592-600.

Wang Z, Zhang A, Liu M. Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index. Remote Sens. 2022;14(19): 4999.

Hoang TLT, Dao HN, Cu PT, Tran VTT, Tong TP, Hoang ST, et al. Assessing heat index changes in the context of climate change: A case study of Hanoi (Vietnam). Front Earth Sci. 2022;10:897601. doi: https://doi.org/ 10.3389/feart.2022.897601

Fanger PO. Thermal Comfort: Analysis and applications in environmental engineering. Danish Technical Press. Copenhagen, Denmark; 1970. p.50-76.

Jendritzky G, Kalkstein L. Assessment of heat stress. In: Mcgregor GR, Bessemoulin P, Ebi, K, Menne B, editors. Heatwaves and health: guidance on warning-system development. World Meteorological Organization and World Health Organization: Geneva (Switzerland); 2015. p.14-24.

Rothfusz LP. The Heat Index “Equation” (or, More Than You Ever Wanted to Know About Heat Index) [Internet]. 1990 [cited 2023 Jan 27]. Available from: https://www.weather. gov/media/ffc/ta_htindx.PDF.

Zahid M, Rasul G. Rise in summer heat index over Pakistan. Pak J Meteorol. 2010;6(12):85-96.

Rajib MA, Mortuza MR, Selmi S, Ankur AK, Rahman MM. Increase of Heat Index over Bangladesh: Impact of Climate Change. World Acad Sci Technol. 2011;58:402-5.

National Weather Service. What is the heat index? [Internet]. 2023 [cited 2023 Jan 22]. Available from: https://www. weather.gov/ama/heatindex.

Ropo OI, Perez MS, Werner N, Enoch TI. Climate variability and heat stress index have increasing potential ill-health and environmental impacts in the East London, South Africa. Int J Appl Eng Res. 2017;12(17):6910-8.

Salamone F, Belussi L, Danza L, Ghellere M, Meroni I. How to Define the Urban Comfort in the Era of Smart Cities Through the Use of the Do-It-Yourself Approach and New Pervasive Technologies. Proceedings in 4th International Electronic Conference on Sensors and Applications. 2017;2(3): 115.

Tugnayat RM, Khan I, Taiwade SG, Chaudhary RR, Pathak SB, Khot SS, et al. IOT Based smart farming system using nodemcu8266 and atmega328p. Int Res J Mod Eng Technol Sci. 2022;04(03):2552-8.

Anjani AG, Sunarto PG, Royan R, Wibowo KM, Romadhona G, Sapundani R, et al. Application of IoT Using nodeMCU ESP8266 on the Syringe Pump Device to Increase Patient Safety. Indones J Electron Electromed Eng Med Informatics. 2022;4(1):23-7.

Ben Hassen H, Ayari N, Hamdi B. A home hospitalization system based on the Internet of things, Fog computing and cloud computing. Inform Med Unlocked. 2020;20:100368. doi: 10.1016/j.imu.2020.100368

Ramdevi M, Gujjula R, Ranjith M, Sneha S. IoT Evaluating Indoor Environmental Quality Check of Air and Noise. iCITES 2020: Proceedings of the 2nd International Conference on Innovative Technology and Sciences; Materials Today: Proceedings; 2021.

Koestoer RA, Pancasaputra N, Roihan I, Harinaldi. A simple Calibration Methods of Relative Humidity Sensor DHT22 for Tropical Climates Based on Arduino Data Acquisition System. IMAT 2018: Proceedings of the 10th International Meeting of Advances in Thermofluids; 2018 November 16-17; Indonesia; 2019:2062(1). p.020009.

Bogdan M. How to Use the DHT22 Sensor for Measuring Temperature and Humidity with the Arduino Board. Acta Universitatis Cibiniensis Technical Series. 2016;68(1):22-5. doi: https:// doi.org/10.1515/aucts-2016-0005

Phasinam K, Kassanuk T. Study and Development of Temperature and Humidity Controller for Spreat Culti. Psychology and Education. 2021;58(1): 1674-8. doi: https://doi.org/ 10.17762/pae.v58i1.966

Adhiwibowo W, Daru AF, Hirzan AM. Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API. 2020. 2020;17(2):6. doi: http://dx.doi.org/10.26623/transformatika.v17i2.1820

Alias MNAM, Mohyar SN. Architectural design proposal for real time clock for wireless microcontroller unit. EPJ Web Conf. 2017;162:01072. doi: https://doi.org/10.1051/epjconf/ 201716201072

Maxim Integrated Products. DS3231 Extremely Accurate I2C-Integrated RTC/TCXO/Crystal [Internet]. 2015 [cited 2023 Jan 30]. Available from: https://www.analog.com/media/en/technical-documentation/data-sheets/ds3231.pdf.

Akinwole OO, Oladimeji TT. Design and Implementation of Arduino Microcontroller Based Automatic Lighting Control with I2C LCD Display. J Electr Electron Syst. 2018;7(2):258. doi: 10.4172/2332-0796.1000258

Satheesh MB, Senthilkumar B, Veeramanikandasamy T, Saravanakumar OM. Microcontroller and SD Card Based Standalone Data Logging System using SPI and I2C Protocols for Industrial Application. IJAREEIE. 2016;5(4):2208-14. doi: 10.15662/IJAREEIE.2016.0504002

Son TW, Ramli DA, Aziz AA. Wearable Heat Stroke Detection System in IoT-based Environment. Procedia Computer Science. 2021;192:3686-95. doi: https://doi.org/ 10.1016/j.procs.2021.09.142

Sofyan, Muh Imam Q, Mardewi, Siti Nur A. Design of a Prototype Monitoring System For School Library Visitors Using Rfid and Nodemcu Based on the Internet Of Things. IJSS. 2021;1(4):333-40.

Bhadane P, Lal A. Beginners Approach to the Open-Source Programming: Case Study Arduino with ESP32. IJCSE. 2018;6(10):445-8.

Feng L, Wang Z. Study on Outdoor Terminal Box Moisture-proof Measures. Journal of Physics: Conference Series. 2019;1325(1): 012216. doi: 10.1088/1742-6596/1325/ 1/012216

Cooper E, Grundstein A, Rosen A, Miles J, Ko J, Curry P. An Evaluation of Portable Wet Bulb Globe Temperature Monitor Accuracy. J Athl Train. 2017;52(12):1161-7. doi: 10.4085/1062-6050-52.12.18

Novais JWZ, Batista DDS, Ferreira RL, Souza RDD, Fernandes T, Musis CRD. Influence of Leaf Area Index on the Heat Index of a Tropic Urban Park. GJHSS. 2021;21(3):67-78

Romps DM, Lu Y-C. Chronically underestimated: a reassessment of US heat waves using the extended heat index. Environ Res Lett. 2022;17(9): 094017. doi: 10.1088/1748-9326/ ac8945

Jaipong P, Sriboonruang P, Siripipattanakul S, Sitthipon T, Kaewpuang P, Auttawechasakoon P. A review of intentions to use artificial intelligence in Big Data Analytics for Thailand agriculture. RAMSEY. 2022;1(2):1-8.

Noonpakdee W. The Analysis of Big Data Architecture for Healthcare Service: Case Study of a Public Hospital. IJMKL. 2022; 11:1-8. doi: https://doi.org/10.53615/2232-5697.11.1-8

Abhasakun T. Strange cold spell in Thailand caused by high pressure system from China [Internet]. 2022 [cited 2023 Feb 3]. Available from: https://thethaiger.com/news/national/ strange-cold-spell-in-thailand-caused-by-high-pressure-system-from-china.

Paengkaew W, Limsakul A, Junggoth R, Pitaksanurat S. Empirically Derived Equation from Simple Heat Index for Calculating Wet Bulb Globe Temperature: A Case Study of Thailand. App Envi Res. 2020;42(3): 25-39.

Changklom J, Surasaranwong T, Jowwongsan P, Lipiwattanakarn S, Pornprommin A. Impact of COVID-19 on monthly water consumption on a tropical tourism island: case study of Phuket (Thailand). Water Supply. 2021;22(3):3419-30. doi: https:// doi.org/10.2166/ws.2021.396

Arifwidodo SD, Chandrasiri O. Urban heat stress and human health in Bangkok, Thailand. Environmental Research. 2020;185:109398. doi: https://doi.org/10.1016/j.envres.2020.109398

Phanprasit W, Rittaprom K, Dokkem S, Meeyai AC, Boonyayothin V, Jaakkola JJK, et al. Climate Warming and Occupational Heat and Hot Environment Standards in Thailand. Saf Health Work. 2021;12(1):119-26. doi: 10.1016/j.shaw.2020.09.008

Choosumrong S, Raghavan V, Kerdyord C. Development of Near Real-Time analysis of Heatstroke Risk Information Service that affects to the elderly person based on Web Map Service. JSID. 2022;3(1):88-94.

Sa-ngiamsak T. Low-Cost Temperature and Humidity Monitoring Development for Industrial Hygiene and Safety Affair. Naresuan University Journal. 2011;19(3):1-7.

Suwondo N, Habibullah AF. The IoT for Visualization of RC Circuits Transient Phenomena. BST. 2022; 1(02):57-62. doi: 10.56741/bst. v1i02.148

Perdigones F, Quero JM. Printed circuit boards: The layers’ functions for electronic and biomedical engineering. Micromachines. 2022;13(3):1-33.

Kashyap M, Sharma V, Gupta N. Taking MQTT and NodeMcu to IOT: Communication in Internet of Things. Procedia Computer Science. 2018;132:1611-8. doi: https://doi.org/ 10.1016/j.procs.2018.05.126

Devi GI, Mouli DC, Venkatesh B, Lydia EL, Nagaraja P, Kumar KS. Design Of Smart Arduino Touch Switch Panel for Smart Home Using Iot. J Crit Rev. 2020;7(3):1247-54.

Department of Health. Heat warning and mechanisms at the community level. 1st ed. Thailand: Technology Promotion Association (Thailand-Japan); 2017 p.25-34.

Department of Environmental Quality Promotion. Development of heat-haze early warning system for the upper part of northern Thailand [Final Reports]. Environmental Research and Training Center; 2019.

Department of Health, Ministry of Public Health. Guidelines for surveillance and communication of health warnings from heat. [Internet]. 2022 [cited 2019 Feb 10]. Available from: http://www.oic.go.th/ FILEWEB/CABINFOCENTER17/DRAWER002/GENERAL/DATA0004/ 00004105.PDF.

Alamsyah RC, Chaniago MB. Design of Cloud Computing Based Gas Detection Systems using NodeMCU ESP8266 Microcontroller. IJID. 2019;8(2):69-73. doi: 10.14421/ ijid.2019.08204.

Abdulmalek S, Nasir A, Jabbar WA, Almuhaya MAM, Bairagi AK, Khan MA, et al. IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review. Healthcare (Basel). 2022;10(10). doi: 10.3390/ healthcare10101993

Suhaidi MIA, Yunus NHM. Development of Blynk IoT-Based Air Quality Monitoring System. J Eng Tech