scholarly journals KERENTANAN KEBAKARAN HUTAN BERDASARKAN KARAKTER UMUR TANAMAN JATI

2021 ◽  
Vol 16 (1) ◽  
pp. 47-64
Author(s):  
Fiqri Ardiansyah ◽  
Ananto Triyogo

Forest management in Java dominated with Teak plantation that organize with community. One threats of forest damages is forest fires. Forest fires caused by susceptible fuel, oxygen rate, and fires resource. Teak plantation closed with community activities that using fires within purpose or not. This research aim to identify the effect of plant age towards forest fires susceptibility by combustion rate. This research conducted in Wanagama I EduForest. The effects of plant age towards forest fires susceptibility analysed by bark thickness and water content of bark. Teak bark samples taken on various age of 5th, 15th, and 40th. Foresf fires suceptibility observed by combustion test. The effects of teak age towards on bark thickness and water content, combustion rate analysed using anova with 10% of confident level. The results showed that 1) plant age affecting thickness and water content of teak bark; 2) bark thickness affect fire susceptibility rate of teak on various age, bark thickness has growth along age increase which more tolerant towards of combustion; and 3) Surface forest fires in Wanagama I caused by multiple sources of fire ignition that closed to road accesibility, and the damage mostly occurred until 100 cm of height from forest ground.

2021 ◽  
Author(s):  

Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises current knowledge of the occurrence, monitoring, modelling and suppression of forest fires in Fennoscandia. The report also focuses on elaborating the role of forest fires as a source of black carbon (BC) emissions over the Arctic and discussing the importance of international collaboration in tackling forest fires. The report explains the factors regulating fire ignition, spread and intensity in Fennoscandian conditions. It highlights that the climate in Fennoscandia is characterised by large inter-annual variability, which is reflected in forest fire risk. Here, the majority of forest fires are caused by human activities such as careless handling of fire and ignitions related to forest harvesting. In addition to weather and climate, fuel characteristics in forests influence fire ignition, intensity and spread. In the report, long-term fire statistics are presented for Finland, Sweden and the Republic of Karelia. The statistics indicate that the amount of annually burnt forest has decreased in Fennoscandia. However, with the exception of recent large fires in Sweden, during the past 25 years the annually burnt area and number of fires have been fairly stable, which is mainly due to effective fire mitigation. Land surface models were used to investigate how climate change and forest management can influence forest fires in the future. The simulations were conducted using different regional climate models and greenhouse gas emission scenarios. Simulations, extending to 2100, indicate that forest fire risk is likely to increase over the coming decades. The report also highlights that globally, forest fires are a significant source of BC in the Arctic, having adverse health effects and further amplifying climate warming. However, simulations made using an atmospheric dispersion model indicate that the impact of forest fires in Fennoscandia on the environment and air quality is relatively minor and highly seasonal. Efficient forest fire mitigation requires the development of forest fire detection tools including satellites and drones, high spatial resolution modelling of fire risk and fire spreading that account for detailed terrain and weather information. Moreover, increasing the general preparedness and operational efficiency of firefighting is highly important. Forest fires are a large challenge requiring multidisciplinary research and close cooperation between the various administrative operators, e.g. rescue services, weather services, forest organisations and forest owners is required at both the national and international level.


2001 ◽  
Vol 81 (3) ◽  
pp. 541-550 ◽  
Author(s):  
D. A. Gaudet ◽  
A. Laroche ◽  
B. Puchalski

Resistance to snow molds in winter wheat increases with plant age, and older plants express higher levels of resistance than young plants. Experiments were conducted to study the effect of plant age on percent crown water content (%CWC) and dry weights in fall rye and winter wheat cultivars grown under controlled environments and in the field at Lethbridge, AB. Under controlled environments, the oldest (6 wk of pre-hardening growth at 20°C) treatments accumulated the greatest dry weights following exposure of plants to 1 to 6 wk hardening conditions at 2°C, compared with younger (1 to 4 wk pre-hardening growth) treatments. Exposure of plants to hardening temperatures had the greatest effect on %CWC values, which decreased, gradually, from 82–89% (4.95–8.67 g H2O g–1 DW) in unhardened treatments to 67–72% (2.05–2.65 g H2O g–1 DW) in plants receiving the 6 wk pre-hardening and 6 wk hardening growth. However, the oldest treatments (4 to 6 wk pre-hardening growth) always exhibited the lowest %CWC values among all hardening treatments. The %CWC in the oldest (6 wk) unhardened plants was also lower ([Formula: see text] = 80.8% or 4.24 g H2O g–1 DW) than in the youngest (1wk) unhardened plants ([Formula: see text] = 91.2% or 11.31 g H2O g–1 DW ), demonstrating that water loss occurs in older plants in the absence of low hardening temperatures. In a field study at Lethbridge during the autumn, winter, and early spring of 1997–1998 and 1998–1999, different seeding dates were employed to obtain plants differing in age and developmental state. The %CWC in early-seeded treatments was lower during the autumn, and remained lower in early spring, compared with later seeded cultivars. The %CWC in crowns was negatively associated with the snow mold resistance rating of a fall rye and five winter wheat cultivars under controlled environment conditions, and among a fall rye and 13 winter wheat cultivars in the field; the highest correlation values in the field were observed from mid-November to mid-March during 1997–1998 (r = –0.84), and 1998–1999 (r = – 0.76). These results indicate that the type of snow mold resistance that increases with plant age is related to the accumulation of crown dry matter and the ability of wheat and rye plants to lose crown water in response to both extended growth at warm temperatures and hardening at low, above freezing temperatures. Key words: Carbohydrates, fructans, low temperature basidiomycete, Coprinus psychromorbidus


2021 ◽  
Vol 9 (3) ◽  
pp. 282
Author(s):  
Fonny Rianawati ◽  
Zainal Abidin ◽  
Muhammad Naparin

This study aims to conduct a study of the quality value of briquettes made from mixing straw and rice husks which include a flame test and combustion rate which is expected to be used to educate people around the forest by providing innovation and technology regarding the use of post-harvest waste. The results showed that the value of the quality of briquettes made from variations in the mixing of straw and rice husks including the flame test of the combustion rate obtained results, for treatment A (100% straw) of 0.68 gr/minute, treatment B (100% husk) of 0 ,57 gr/minute, treatment C (Husk 75% + Straw 25%) was 0.40 gr/minute, treatment D (Husk 25% + Straw 75%) was 0.46 r/minute and treatment E (Husk 50% + Straw 50%) of 0.43 gr/minute. The value of the flame to boiling time for treatment A = 38.62 minutes, treatment B = 31.05, treatment C = 23.22 minutes, treatment D = 36.05 and treatment E = 27.95 minutes. Density values of all treatments, and the water content for treatment B and treatment C can meet SII. While other parameters: ash content, volatile matter, bound carbon and calorific value still cannot meet the standards, so it is recommended to carry out further research with other variations of treatment, in order to obtain briquettes with quality that can meet the standards.


Author(s):  
Feta Kukuh Pambudi ◽  
Wahidin Nuriana ◽  
Hantarum

Bio-briquette is a solid fuel made from organic waste and mixed with other materials and then printed using a certain pressure to get the desired shape and characteristics. This research is focused to know the influence of variation of pressure on the density, moisture content and combustion rate on the bio-briquette of sengon wood waste with variation of pressure 45 kg / cm2, 80 kg/cm2, 115 kg /cm2, 150 kg/cm2. Use of this research obtained the highest density 0.47 g/cm3 on the bacon of sengon wood  bio-briquette with the pressure of 150 kg/cm2, the highest moisture value is 6.6 % in the bacon of sengon wood bio-briquette with pressure 150 kg/cm2 and burning at an average of 0,35 g /min of sengon wood waste with a pressure of 150 kg /cm2. The greater the pressure the higher the density, the lower the water content and the lower the burn rate.


2020 ◽  
Author(s):  
Flavio T. Couto ◽  
Maksim Iakunin ◽  
Rui Salgado ◽  
Paulo Pinto ◽  
Tânia Viegas ◽  
...  

<p>Under future climate uncertainties, a better understanding of wildfires is necessary both from physical and operational points of view, which are the goals of the CILIFO (Centro Ibérico para la Investigacion y Lucha contra Incendios Forestales) Interreg POCTEP project. Among several sources of fire ignition, lightnings are the main natural source of wildfires and an important contributor to burned areas in many regions. In 2017, devastating forest fires were reported in Portugal. The fires near Pedrógão Grande created a huge wall of flames, killing at least 60 people. The goal of this study is to discuss the atmospheric conditions that were supportive of lightning flashes to cause a fire during this event, as well as to check the possibility to correctly diagnose cloud-to-ground flashes using high resolution simulations with the non-hydrostatic atmospheric Meso-NH model. A set of meteorological data was used to validate the model results and to describe the prevailing atmospheric environment during the afternoon of 17th June 2017 over central Portugal. The Portuguese Institute for Sea and Atmosphere (IPMA) provided the data for this study. The Meso-NH model was configured in order to provide an explicit representation of the clouds and their electrical activity, through the activation of the CELLS electrical scheme. The ICE3 microphysical scheme predicts the mixing ratio of six atmospheric water categories. The Meso-NH system also includes a grid point radar diagnostic given by the total equivalent radar reflectivity, as well as a Plan Position Indicator (PPI) that is a representation mode in which sweeping cones are projected on a horizontal plane determined by scanning the atmosphere at constant elevation. The description of the electrical state of a thunderstorm is based on the monitoring of the electrical charge densities, the computation of the electric field and the production of lightning flashes. The cloud charging involves mostly the non-inductive mechanism, and both Intra-Cloud (IC) and Cloud-to-Ground (CG) flashes are considered. The CELLS scheme provides a realistic representation of the electrical properties of precipitating cloud systems. The simulation was carried out with two nested domains of 4 km and 1 km horizontal resolution. Concerning the atmospheric conditions, the dry thunderstorm environment configured a perfect scenario for the natural ignition and evolution of some fires, since lightning activity came from high-base thunderstorms with relatively dry air at lower levels favouring the evaporation of rain before it reaches the ground, as well as intense outflows. Therefore, the fires on 17th June 2017 occurred in an exceptional hot day, with fire ignitions in places with complex terrain and a favourable vegetation state producing uncontrolled wildfires. The spatial distribution of the simulated CG lightnings showed a good agreement with the lightning strokes obtained from the national lightning detection network. Besides the identification of favourable conditions for the occurrence of wildfires, this study introduces a possible application of the Meso-NH electrical scheme, namely the study of forest fire ignition by lightning strokes.</p>


2021 ◽  
Vol 4 (2) ◽  
pp. 234
Author(s):  
Aris Setiawan ◽  
Normela Rachmawati

This study aims to determine the effect of Sungkai litter water content (Peronema canescens) on forest fires. The benefit of this research is to provide information and input on related institutions to take actions to prevent forest fires. The research object is Sungkai litter in the IUPHHK-HI area of PT. Aya Yayang Indonesia on 26-year-old plants, with 4 treatments and 5 groups. Sampling with the Stratified Random Sampling (layered random) method, data analysis using Randomized Block Design (RCBD). Based on the results of the study note that the largest average water content is in the dense canopy treatment and there is an understorey (29.67%) and a thin canopy treatment there is an understorey (27.07%) then dense canopy there is no understorey (21.80 %) and the treatment with the least water content is thin canopy treatment and no undergrowth (17.30%). The average of all samples of Sungkai litter water content (23.96%) is known to be less than 30% so according to. Ministry of Forestry and Forestry (1999), can be categorized as very vulnerable to forest fires. Based on the Diversity Analysis test, it is known that the treatment has a very significant effect, for the normality test (using Liliefors test) it is known that the data is spread normally while through the Bartlett Variety homogeneity test it is known that the data is homogeneous. Through Honestly Significant Difference test (BNJ) it is known that each treatment has a significantly different effect.Keywords: Kadar air; Serasah; Kebakaran hutan; Sungkai


2021 ◽  
Vol 27 (1) ◽  
pp. 29-41
Author(s):  
Kerry Cato ◽  
Brett Goforth

ABSTRACT Historical patterns of debris flows have been reconstructed at the town of Forest Falls in the San Bernardino Mountains using a variety of field methods (mapping flow events after occurrence, dendrochronology evidence, soil chronosequences). Large flow events occur when summer thunderstorms produce brief high-intensity rainfall to mobilize debris; however, the geomorphic system exhibits properties of non-linear response rather than being a single-event precipitation-driven process. Previous studies contrasted the relative water content of flows generated by varying-intensity summer thunderstorms to model factors controlling flow velocity and pathway of deposition. We hypothesize that sediment discharge in this geomorphic system exhibits multiple sources of complexity and present evidence of (1) thresholds of sediment delivery from sources at the higher reaches of bedrock canyons, (2) storage effects in sediment transport down the bedrock canyons, and (3) feedbacks in deposition, remobilization, and transport of sediment across the alluvial fan in dynamic channel filling, cutting, and avulsion processes. An example of the first component occurred in March 2017, when snowmelt generated a rapid translational landslide and debris avalanche of about 80,000 m3; this sediment was deposited in the bedrock canyon but moved no farther down gradient. The second component was observed when accumulation of meta-stable sediments in the bedrock canyon remained in place until fluvial erosion and subsequent debris flow provided dynamic instability to remobilize the mass downstream. The third component occurred on the alluvial fan below the bedrock canyon, where low-water-content debris flows deposited sediments that filled the active channel, raising the channel grade level to levee elevation, allowing for subsequent spread of non-channelized flows onto the fan surface and scouring new channel pathways down fan. A conceptual model of spatial and temporal complexities in this debris-flow system is proposed to guide future study for improved risk prediction.


2020 ◽  
Vol 8 (2) ◽  
pp. 85
Author(s):  
Lalu Muhamad Alfian Ramdani ◽  
Sukainil Ahzan ◽  
Dwi Sabda Budi Prasetya

This study aimed to identify the effects of variety and composition of the adhesive used to the physical properties and the rate of combustion hyacinth biobriquettes. The physical properties referred to are water content, density and heating value. This research is an experimental study with a literacy study conducted in 3 stages, preparing tools and materials, making biobriquettes, and testing biobriquettes. The main ingredients used in the manufacture of biobriquettes are water hyacinth which is obtained at the Batujai Dam, Central Lombok Regency and the adhesive materials used are wheat flour, tapioca flour and cement. The method used to test the water content and density of the biobriquette was oven, while the calorific value and the rate of combustion were by heating water from the biobriquette combustion. The results showed that the biobriquette water content ranged from 5.138% - 13.953%, density 0.412 g/cm3 - 0.513 g/cm3, calorific value 2984.520 cal - 4476.780 cal, and combustion rate 0.029543 g/s - 0.042431 g/s. Based on the test results, it is known that the addition of adhesive material causes the water content, density, and combustion rate of the biobriquette to increase but the calorific value tends to decrease.


Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 453
Author(s):  
Beatriz Flamia Azevedo ◽  
Thadeu Brito ◽  
José Lima ◽  
Ana I. Pereira

Every year forest fires destroy millions of hectares of land worldwide. Detecting forest fire ignition in the early stages is fundamental to avoid forest fires catastrophes. In this approach, Wireless Sensor Network is explored to develop a monitoring system to send alert to authorities when a fire ignition is detected. The study of sensors allocation is essential in this type of monitoring system since its performance is directly related to the position of the sensors, which also defines the coverage region. In this paper, a mathematical model is proposed to solve the sensor allocation problem. This model considers the sensor coverage limitation, the distance, and the forest density interference in the sensor reach. A Genetic Algorithm is implemented to solve the optimisation model and minimise the forest fire hazard. The results obtained are promising since the algorithm could allocate the sensor avoiding overlaps and minimising the total fire hazard value for both regions considered.


2020 ◽  
Vol 12 (17) ◽  
pp. 2803
Author(s):  
Erik J. Boren ◽  
Luigi Boschetti

Despite the potential implications of a cropland canopy water content (CCWC) thematic product, no global remotely sensed CCWC product is currently generated. The successful launch of the Landsat-8 Operational Land Imager (OLI) in 2012, Sentinel-2A Multispectral Instrument (MSI) in 2015, followed by Sentinel-2B in 2017, make possible the opportunity for CCWC estimation at a spatial and temporal scale that can meet the demands of potential operational users. In this study, we designed and tested a novel radiative transfer model (RTM) inversion technique to combine multiple sources of a priori data in a look-up table (LUT) for inverting the NASA Harmonized Landsat Sentinel-2 (HLS) product for CCWC estimation. This study directly builds on previous research for testing the constraint of the leaf parameter (Ns) in PROSPECT, by applying those constraints in PRO4SAIL in an agricultural setting where the variability of canopy parameters are relatively minimal. In total, 225 independent leaf measurements were used to train the LUTs, and 102 field data points were collected over the 2015–2017 growing seasons for validating the inversions. The results confirm increasing a priori information and regularization yielded the best performance for CCWC estimation. Despite the relatively low variable canopy conditions, the inclusion of Ns constraints did not improve the LUT inversion. Finally, the inversion of Sentinel-2 data outperformed the inversion of Landsat-8 in the HLS product. The method demonstrated ability for HLS inversion for CCWC estimation, resulting in the first HLS-based CCWC product generated through RTM inversion.


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