A study of emissions and marker gases from smouldering combustion in Larix gmelinii plantations of the Daxing’an Mountains

Tang, Shuyuan; Yin, Sainan; Shan, Yanlong; Gao, Bo; Sun, Lei; Han, Xiyue; Wang, Mingxia; Wang, Mingyu; Chen, Zongshi

doi:10.1007/s11676-021-01323-x

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…We take the Daxing'an Mountains in Northeast China as an example to test the correctness of our model. According to Wang Q's research [6], in Huzhong area of Daxing'an Mountains, the relative dominance and relative abundance of Larix gmelinii reached 77.9 % and 72.0 %, respectively, and the vegetation density was about 2000 plants per hectare. In order to more intuitively reflect the function of the model, we assume that the tree species here are Larix gmelinii.…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

A forest management planning strategy based on Leslie model and simulated annealing algorithm

Sun

et al. 2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

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Forest is the most important part of carbon sequestration, and lack of systematic management methods. Leslie population models are often used to predict changes in animal populations. In this paper, the Leslie population model is improved to enable it to describe the growth of trees. Then the simulated annealing algorithm (SAA) is used to solve the model to obtain the optimal forest management method. The results show that the Leslie-SAA model considers multi-directional conditions and gives the optimal cutting strategy. As a result, it is a feasible and practical method.

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Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

A forest management planning strategy based on Leslie model and simulated annealing algorithm

Sun

et al. 2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

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Characterizing and predicting smoldering temperature variations based on non-linear mixed effects models

et al. 2022

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Smoldering charcoal detection in forest soil by multiple CO sensors

et al. 2023

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Cleaning up residual fires is an important part of forest fire management to avoid the loss of forest resources caused by the recurrence of a residual fire. Existing residual fire detection equipment is mainly infrared temperature detection and smoke identification. Due to the isolation of ground, temperature and smoke characteristics of medium and large smoldering charcoal in some forest soils are not obvious, making it difficult to identify by detection equipment. CO gas is an important detection index for indoor smoldering fire detection, and an important identification feature of hidden smoldering ground fires. However, there is no research on locating smoldering fires through CO detection. We studied the diffusion law of CO gas directly above covered smoldering charcoal as a criterion to design a detection device equipped with multiple CO sensors. According to the motion decomposition search algorithm, the detection device realizes the function of automatically searching for smoldering charcoal. Experimental data shows that the average CO concentration over the covered smoldering charcoal decreases exponentially with increasing height. The size of the search step is related to the reliability of the search algorithm. The detection success corresponding to the small step length is high but the search time is lengthy which can lead to search failure. The introduction of step and rotation factors in search algorithm improves the search efficiency. This study reveals that the average ground CO concentration directly above smoldering charcoal in forests changes with height. Based on this law, a CO gas sensor detection device for hidden smoldering fires has been designed, which enriches the technique of residual fire detection.

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A study of emissions and marker gases from smouldering combustion in Larix gmelinii plantations of the Daxing’an Mountains

Cited by 4 publications

References 16 publications

A forest management planning strategy based on Leslie model and simulated annealing algorithm

A forest management planning strategy based on Leslie model and simulated annealing algorithm

Characterizing and predicting smoldering temperature variations based on non-linear mixed effects models

Smoldering charcoal detection in forest soil by multiple CO sensors

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