Browsing by Author "Saglam B."

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An integrated approach for mapping fire suppression difficulty in three different ecosystems of Eastern Europe
(2017-01-02) Mitsopoulos I.; Mallinis G.; Zibtsev S.; Yavuz M.; Saglam B.; Kucuk O.; Bogomolov V.; Borsuk A.; Zaimes G.
Increased fire activity, related both to human activities and to climate change, necessitates effective fire prevention and suppression strategies. The main purpose of this paper is to model and map fire suppression difficulty using common approaches in three different ecosystems in Eastern Europe by employing very high-resolution satellite imagery and landscape fire behaviour modelling. The integrated approach could allow fire managers to organize prevention and management of firefighting activities more efficiently by implementing both simple and easy-to-use risk and operational fire suppression difficulty indices. The development of cross-border common methodological approaches could foster cooperation between national authorities that would also maximize the efficiency of firefighting procedures.
Canopy fuel characteristics and fuel load in young black pine trees
(2007-01-01) Kucuk O.; Saglam B.; Bilgili E.
Crown structure and fuel loading are important factors affecting crown fire occurrence and behavior. This paper reports on the canopy fuel characteristics and regression models to determine Canopy Fuel Loading (CFL) of young black pine (Pinus nigra Arnold) trees. Equations were based on the data from 11 destructively sampled black pine plantation trees. This data was used to develop best equations fit with ordinary least squares procedures that estimate available and total canopy fuel load for young black pine plantation trees. Model fits for available and total canopy fuel load were generally good. Results indicated that available and total canopy fuel load could be easily predicted using diameter at breast height (D), variable. The resulting equations were able to account for 94% of the observed variation in the total canopy fuel load. Average tree canopy fuel load was 8.9 kg. On average 41% of canopy fuel load was allocated to the needle, 13% to the fine branch, 20% to the medium branch, 18% to thick branch and 8% to the very thick branch. Vertical distribution of canopy fuels was variable. Most foliage was found on the main branches of the medium portion of the canopy. The lower and upper portions of the crown had relatively less foliage. The results of the study allowed also for the comparisons of linear and nonlinear equations of biomass estimation commonly used in literature. © 2007 Taylor and Francis Group, LLC.
Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey
(2019-06-01) Bilgili E.; Coskuner K.A.; Usta Y.; Saglam B.; Kucuk O.; Berber T.; Goltas M.
This study presents a dynamic model for the prediction of diurnal changes in the moisture content of dead surface fuels in normally stocked Calabrian pine stands under varying weather conditions. The model was developed based on several empirical relationships between moisture contents of dead surface fuels and weather variables, and calibrated using field data collected from three Calabrian stands from three different regions of Turkey (Mugla, southwest; Antalya, south; Trabzon, north-east). The model was tested and validated with independent measurements of fuel moisture from two sets of field observations made during dry and rainy periods. Model predictions showed a mean absolute error (MAE) of 1.19% for litter and 0.90% for duff at Mugla, and 3.62% for litter and 14.38% for duff at Antalya. When two rainy periods were excluded from the analysis at Antalya site, the MAE decreased from 14.38% to 4.29% and R2 increased from 0.25 to 0.83 for duff fuels. Graphical inspection and statistical validation of the model indicated that the diurnal litter and duff moisture dynamics could be predicted reasonably. The model can easily be adapted for other similar fuel types in the Mediterranean region.