Cover Image

Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system

Peatland refers to the peat soil and wetland biological environment growing on the surface. However, unexpected fires in peatlands frequently have brought severe greenhouse gas emissions and transboundary haze to Southeast Asia. To alleviate this issue, this paper first establishes an Internet of Th...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Lu, Sali, Aduwati, Noordin, Nor Kamariah, Ismail, Alyani, Hashim, Fazirulhisyam, Rasid, Mohd Fadlee A., Hanafi, Marsyita, Mohd Razali, Sheriza, Amir Aziz, Nurizana, Sukaesih Sitanggang, Imas, Syaufina, Lailan, Nurhayati, Ati Dwi
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Online Access:http://psasir.upm.edu.my/id/eprint/109451/1/fire-06-00272.pdf
http://psasir.upm.edu.my/id/eprint/109451/
https://www.mdpi.com/2571-6255/6/7/272
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.109451
record_format eprints
spelling my.upm.eprints.1094512024-12-10T03:10:15Z http://psasir.upm.edu.my/id/eprint/109451/ Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system Li, Lu Sali, Aduwati Noordin, Nor Kamariah Ismail, Alyani Hashim, Fazirulhisyam Rasid, Mohd Fadlee A. Hanafi, Marsyita Mohd Razali, Sheriza Amir Aziz, Nurizana Sukaesih Sitanggang, Imas Syaufina, Lailan Nurhayati, Ati Dwi Peatland refers to the peat soil and wetland biological environment growing on the surface. However, unexpected fires in peatlands frequently have brought severe greenhouse gas emissions and transboundary haze to Southeast Asia. To alleviate this issue, this paper first establishes an Internet of Things (IoT) system for peatland monitoring and management in the Raja Musa Forest Reserve (RMFR) in Selangor, Malaysia, and proposes a more efficient and low-complexity model for calculating the Duff Moisture Code (DMC) in peatland forests using groundwater level (GWL) and relative humidity. The feasibility of the IoT system is verified by comparing its data with those published by Malaysian Meteorological Department (METMalaysia). The proposed Linear_DMC Model and Linear_Mixed_DMC Model are compared with the Canadian Fire Weather Index (FWI) model, and their performance is evaluated using IoT measurement data and actual values published by METMalaysia. The results show that the correlation between the measured data of the IoT system and the data from METMalaysia within the same duration is larger than 0.84, with a mean square error (MSE) of 2.56, and a correlation of 0.91 can be achieved between calculated DMC using the proposed model and actual values. This finding is of great significance for predicting peatland forest fires in the field and providing the basis for fire prevention and decision making to improve disaster prevention and reduction. Multidisciplinary Digital Publishing Institute 2023-07-13 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/109451/1/fire-06-00272.pdf Li, Lu and Sali, Aduwati and Noordin, Nor Kamariah and Ismail, Alyani and Hashim, Fazirulhisyam and Rasid, Mohd Fadlee A. and Hanafi, Marsyita and Mohd Razali, Sheriza and Amir Aziz, Nurizana and Sukaesih Sitanggang, Imas and Syaufina, Lailan and Nurhayati, Ati Dwi (2023) Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system. Fire, 6 (7). pp. 1-21. ISSN 2571-6255 https://www.mdpi.com/2571-6255/6/7/272 10.3390/fire6070272
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Peatland refers to the peat soil and wetland biological environment growing on the surface. However, unexpected fires in peatlands frequently have brought severe greenhouse gas emissions and transboundary haze to Southeast Asia. To alleviate this issue, this paper first establishes an Internet of Things (IoT) system for peatland monitoring and management in the Raja Musa Forest Reserve (RMFR) in Selangor, Malaysia, and proposes a more efficient and low-complexity model for calculating the Duff Moisture Code (DMC) in peatland forests using groundwater level (GWL) and relative humidity. The feasibility of the IoT system is verified by comparing its data with those published by Malaysian Meteorological Department (METMalaysia). The proposed Linear_DMC Model and Linear_Mixed_DMC Model are compared with the Canadian Fire Weather Index (FWI) model, and their performance is evaluated using IoT measurement data and actual values published by METMalaysia. The results show that the correlation between the measured data of the IoT system and the data from METMalaysia within the same duration is larger than 0.84, with a mean square error (MSE) of 2.56, and a correlation of 0.91 can be achieved between calculated DMC using the proposed model and actual values. This finding is of great significance for predicting peatland forest fires in the field and providing the basis for fire prevention and decision making to improve disaster prevention and reduction.
format Article
author Li, Lu
Sali, Aduwati
Noordin, Nor Kamariah
Ismail, Alyani
Hashim, Fazirulhisyam
Rasid, Mohd Fadlee A.
Hanafi, Marsyita
Mohd Razali, Sheriza
Amir Aziz, Nurizana
Sukaesih Sitanggang, Imas
Syaufina, Lailan
Nurhayati, Ati Dwi
spellingShingle Li, Lu
Sali, Aduwati
Noordin, Nor Kamariah
Ismail, Alyani
Hashim, Fazirulhisyam
Rasid, Mohd Fadlee A.
Hanafi, Marsyita
Mohd Razali, Sheriza
Amir Aziz, Nurizana
Sukaesih Sitanggang, Imas
Syaufina, Lailan
Nurhayati, Ati Dwi
Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
author_facet Li, Lu
Sali, Aduwati
Noordin, Nor Kamariah
Ismail, Alyani
Hashim, Fazirulhisyam
Rasid, Mohd Fadlee A.
Hanafi, Marsyita
Mohd Razali, Sheriza
Amir Aziz, Nurizana
Sukaesih Sitanggang, Imas
Syaufina, Lailan
Nurhayati, Ati Dwi
author_sort Li, Lu
title Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
title_short Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
title_full Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
title_fullStr Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
title_full_unstemmed Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
title_sort modelling of evaporation rate for peatland fire prevention using internet of things (iot) system
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/109451/1/fire-06-00272.pdf
http://psasir.upm.edu.my/id/eprint/109451/
https://www.mdpi.com/2571-6255/6/7/272
_version_ 1818835873640218624
score 13.223943

Similar Items