Abstract
Peatland forest fire has been occurring in Belait over the Badas dome. Human activities around this area have been the main contributor. This has affected the ecosystem that leads to the degradation of the peatland forest in Brunei. These degraded areas have become prone to fire with the right conditions. To date, there are no forest fire detection devices or monitoring system installed in Brunei. This paper presents a prototype which aims to prevent peatland fire from happening. We developed this prototype using a development microcontroller board called Arduino with two types of sensors. Before we developed this prototype, we studied the requirements from the two main stakeholders of peatland forest fire: the fire fighters and the peatland experts. Taking this knowledge into account, we opted to come up with a peatland fire prevention mechanism where we artificially keep fire prone peatland areas wet during prolonged dry climate in order to reduce risk of forest fires. To facilitate this, we designed a facility consisting of two dams. In particular we use sensors that will trigger the dam valve to release water from the dam and re-wet the land when our system identifies the soil humidity level under a certain threshold value. We refer to our solution as Brunei Peatland Fire Prevention (BPFP) system. Being aware of the fact that the dams in our BPFP system could spill out during wet seasons, our system considers an automatic draining mechanism from the dams. In this paper, we demonstrate how BPFP system works. We presents the algorithms that contributes in the making of BPFP system a stable, efficient and real-time peatland fire prevention system, Additionally, in this paper, we provide a brief discussion on the major issues that would further contribute in improving our BPFP system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Pearce, G.: The Science of fire behavior and fire danger rating, Tech Rep, New Zealand Forest Research Institute Ltd. (2000)
Forest Department Brunei. http://forestry.gov.bn/SitePages/PeatSwamp.aspx
Roy, P.S.: Forest fire and degradation assessment using satellite remote sensing and geographic information system. Satellite Remote Sensing and GIS Application in Agricultural Meteorology, 361–400 (2014)
Tishkov, A.A.: Sub-Surface Peat Fires, Natural Disasters. Encyclopedia of Life Support Systems (EOLSS), vol. 11 (2010)
Rego, F.C., Catry, F.X.: Modelling the effects of distance on the probability of fire detection from lookouts. Int. J. Wildland Fire 15(2), 197–202 (2006)
Stipanicev, D., Vuko, T., Krstinic, D., Stula, M., Bodrozic, L.: Forest fire protection by advanced video detection system. In: Proceedings of the Third TIEMS Workshop-Improvement of Disaster Management System, pp. 26–27 (2006)
Utkin, A.B., Fernandes, A.M., Simoe, F., Lavory, A., Vilar, R.: Feasibility of forest-fire smoke detection using LIDAR. Int. J. Wildland Fire 2(2), 159–166 (2006)
Lavrov, A., Utkin, A.B., Vilar, R., Fernandes, A.M.: Application of LIDAR in ultraviolet, visible and infrared ranges for early forest fire detection. Appl. Phys. B-Lasers Optic 76(1), 87–95 (2003)
Lozano, C., Rodriguez, O.: Design of forest fire early detection system using wireless sensor networks. Online J. Electron. Electr. Eng. 3(2), 402–405 (2011)
Hafeeda, M., Bagheri, M.: Forest fire modeling and early detection using Wireless Sensor Networks. Adhoc Sens. Wirel. Netw. 7, 169–224 (2009)
Nadhi, P., Hiren, K., Arjaz, B.: Wireless sensor network using Zigbee. Int. J. Res. Eng. Technol. 2(6), 10381042 (2013)
Jadhav, P.S., Deshmukh, V.U.: Forest fire monitoring system based on ZIGBEE wire-less sensor network. Int. J. Emerg. Technol. Adv. Eng. 2(12), 187–191 (2012)
Majorne, B., Viani, F., Filippoi, E., Bellin, A., Massa, A., Toller, G., Robol, F., Saluci, M.: Wireless Sensor Network deployment for monitoring soil moisture dynamics at the field scale. Procedia Environ. Sci. 19, 426–435 (2013)
Krueger, E.S., Ochsner, T.E., Engle, D.M., Carlson, J.D., Twidwell, D.L., Fuhlendorf, S.D.: Soil Moisture affects growing-season Wildfire Size in the Southern Great Plains, Agronomy & Horticulture, Faculty Publication (2015). https://digitalcommons.unl.edu/agronomyfacpub/838
Pelizzaro, G., Cesaraccio, C., Duce, P., Ventura, A., Zara, P.: Relationships between seasonal patterns of live fuel moisture and meteorological drought indices for Mediterranean shrubland species. Int. J. Wildland Fire 16, 232–241 (2007). https://doi.org/10.1071/WF06081
Qi, Y., Dennison, P., Spenser, J., Riano, D.: Monitoring live fuel moisture using soil moisture and remote sensing proxies. Fire Ecol. 8, 71–87 (2012). https://doi.org/10.4996/fireecology.0803071
Bartsch, A., Balzter, H., George, C.: Influence of regional surface soil moisture anomalies on forest fires in Siberia observed from satellites. Environ. Res. Lett. 4, 405021 (2009)
Wolfgang, W., Lemoine, G., Helmut, R.: A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ. 70, 191–207 (1999)
Wolfgang, W., Vahid, N., Klaus, S., de Jeu, R., Martinez-Fernandez, J.: Soil moisture from operational meteorological satellites. Hydrol. J. 15, 121–131 (2007)
Krivtsov, V., Gray, A., Valor, T., Legg, C.J., Davies, G.M.: The fuel moisture content of peat in relation to meteorological factors. Modelling, Monitoring and Management of Forest Fire I. WIT Trans. Ecol. Environ. 119, 193–200 (2008)
Forestry Department Peninsular Malaysia, GAMBUT, ASEAN Peatland Forests Project Malaysia Component, Special Publication (2014)
Ritzema, H., Limin, S., Kusin, K., Jauhiainen, J., Wosten, H.: Canal blocking strategies for hydrological restoration of degraded tropical peatlands in Central Kalimantan, Indonesia. Catena 111, 11–20 (2013)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Haji Hamzah, N.W., Haji Jalil, S.A., Haji Suhaili, W.S. (2019). Towards Develo** a Peatland Fire Prevention System for Brunei Darussalam. In: Omar, S., Haji Suhaili, W., Phon-Amnuaisuk, S. (eds) Computational Intelligence in Information Systems. CIIS 2018. Advances in Intelligent Systems and Computing, vol 888. Springer, Cham. https://doi.org/10.1007/978-3-030-03302-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-03302-6_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03301-9
Online ISBN: 978-3-030-03302-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)