Research Progress of Polymer Fire Extinguishing Gel and Its Application in Forest Fire Prevention

The paper summarizes the structure and water-absorbing mechanism,classification,and preparation method of polymer fire extinguishing gel,and prospects for its application in aerial firefighting,forest ground fire extinguishing,opening of firebreaks,and mitigating human casualties in forest fire extinguishing.

A theoretical framework for improved fire suppression by linking management models with smart early fire detection and suppression technologies

Bushfires are devastating to forest managers,owners,residents,and the natural environment.Recent tech-nological advances indicate a potential for faster response times in terms of detecting and suppressing fires.However,to date,all these technologies have been applied in isola-tion.This paper introduces the latest fire detection and sup-pression technologies from ground to space.An operations research method was used to assemble these technologies into a theoretical framework for fire detection and suppres-sion.The framework harnesses the advantages of satellite-based,drone,sensor,and human reporting technologies as well as image processing and artificial intelligence machine learning.The study concludes that,if a system is designed to maximise the use of available technologies and carefully adopts them through complementary arrangements,a fire detection and resource suppression system can achieve the ultimate aim:to reduce the risk of fire hazards and the dam-age they may cause.

Forest fire prevention management legal regime between China and the United States

Precautions against forest fires,a significant element in the prevention and reduction of natural disasters in China,are very important to the development of public emergency systems,as well as to the safety of forest resources,ecology,people’s lives and properties.The USA has extensive experience in forest fire management,which has been widely accepted and used by other countries.The precautions taken by China and the USA to prevent forest fires have been compared in a great number of previous studies.However,most of the studies have focused merely on fire extinguishing technologies and management methods;they have lacked a comparative study on the legal aspects of management.This paper will consider five distinct aspects related to forest fire management between China and the USA and will analyze the similarities and differences as well as study other features to facilitate work related to precautions against forest fires in China.

Methods for the use of the best Russian innovations in forest fire detection and suppression

This paper addresses the final stage of the study concerning the practical use of the best Russian methods,technologies and means for detecting and extinguishing forest fires in Russia.In general,the work is aimed at increasing the effectiveness of the forest fire protection system by improving the methodological and technical support for the use of the best new innovations.In the course of the study,analytical methods have been applied,tested and used in silviculture,while developing and improving the regulatory legal and methodological frameworks.Based on the selection of research directions in the preliminary stages of work,analysis of the current state,use,and the development forecast of the most effective and promising technologies was carried out.In addition,for detecting,controlling and extinguishing forest fires,including a comparative analysis of their economic efficiency,methods for practical use of the best Russian innovations was developed.A significant number of new developments have accumulated which,for a number of reasons,have not been implemented.Taking into account the current state and dynamics of these promising methods,technologies,means of detecting and extinguishing forest fires,this study substantiates the development forecast of these promising innovations and their content.Its structure includes general provisions,concepts and terminology,regulatory support,the procedure for assessing the feasibility and effectiveness of the innovations,as well as a list of recommended documents for studying the use of technology for detecting,controlling and extinguishing forest fires.These methods will help meet modern requirements for the protection of forests from wildfires,and present an algorithm for their implementation in practice.

Task Assignment for Forest Fire Suppression by Multiple UAVs

This paper presents a scenario of forest fire suppression using UAVs （Unmanned Aerial Vehicles） and addresses task assignment algorithm to coordinate UAVs. Forest fires are a major problem in many nations and fast extinguishing forest fires brings a lot of ecological advantages so proper use of firefighting resources is very critical. In this sense, multi UAVs forest fire suppression system can be effective way to prevent fire outbreaks. In multi agent system, an appropriate task assignment according to the SA （Situational Awareness） is the most essential to conduct mission. We should consider real time re-planning or re-scheduling of multi UAVs team because environmental situations such as wind are changeable and that changes affect the forest fire spreading. Furthermore, we have to think about convergence to a consistent SA because it may take too much time. CBBA （Consensus-Based Bundle Algorithm） is robust decentralized task assignment tool so it can be implemented in real time re-planning application. A simulation model which is the main topic in this paper shows that multi UAVs can be properly operated to suppress forest fires even if there are unpredictable random factors and partial disconnection. The simulation model includes concrete operating scenarios and recursive task re-assign algorithm until fires in the whole area are suppressed.

The Use of VHSR Imagery for Wildland Fire Prevention: Application to Land-Clearing Management in the South of France

Every year, the French Mediterranean area is subject to wildland fires. The prevention policy promotes the major role of forest layout, for which it is necessary to build appropriate facilities such as reducing ignition and fire propagation risks near the borders of roads and tracks, creating forest tracks to allow firefighters to move safely through the forest during a fire, creating fuel breaks in order to divide up forests and limit the propagation of fire. Land-clearing along a forest track consists in creating discontinuity between the herbaceous stratum and the tree stratum by eliminating the shrubby stratum and cutting tree crowns. It avoids fire propagation by convection, and enables firefighters to deal with the fire in safety. The main difficulty for forest officers is to identify an optimized method to select appropriate tracks to clear, because it is impossible to clear all the tracks each year. Remote sensing tools would seem to be particularly useful for obtaining the best strategic and economic overview of forest tracks at departmental scale. This theme “land-clearing evaluation method” was selected as a target application for the images derived from the new Pleiades sensors: products and services required by end users. The objective of this work is to assess the real potentiality of such Very High Spatial Resolution (VHSR) imagery for land-clearing management. The methodology used consists in image classification and spatial analysis in order to extract land-clearing quality, and also evaluation of land-clearing quality based on field questionnaires validated through interactions with firefighters and rangers. The development of this methodology and its application to QuickBird images-used as Pleiades data simulations-successfully showed that VHSR Imagery is useful for preventing fire risk. It seems to be a good perspective for providing operational mapping services to help land-clearing management.

Tradeoff between the number of firefighting resources and the level of fire ignition prevention efforts in the Republic of Korea

This study explores the tradeoff relationship between the number of initial attack firefighting resources and the level of fire ignition prevention efforts mitigating the probability of human-made fires in the Republic of Korea,where most fires are caused by human activities.To examine this tradeoff relationship,we develop a hybrid model that combines a robust optimization model with a stochastic simulation model.The robust optimization minimizes the expected number of fires not receiving a pre-defined response,such as the number of firefighting resources that must arrive at the fire within half an hour,subject to budget constraints and uncertainty about the daily number and location of fires.The simulation model produces a set of fire scenarios in which a combination of number,location,ignition time,and intensity of fires occur.Results show that fire ignition prevention is as cost-effective as initial attack firefighting resources given the current budget in the Republic of Korea for reducing the expected number of fires not covered by the predefined response.The mixed policy of fire suppression and fire prevention may produce some gains in efficiency relative to the dominant policy of strong fire suppression strategies.

Determination of fire risk to assist fire management for insular areas: the case of a small Greek island

Forest fire risk estimation constitutes an essential process to prevent high-intensity fires which are associated with severe implications to the natural and cultural environment. The primary aim of this research was to determine fire risk levels based on the local features of an island,namely, the impact of fuel structures, slope, aspects, as well as the impact of the road network and inhabited regions. The contribution of all the involved factors to forest fires ignition and behavior highlight certain regions which are highly vulnerable. In addition, the influence of both natural and anthropogenic factors to forest fire phenomena is explored. In this study, natural factors play a dominant role compared to anthropogenic factors. Hence essential preventative measures must focus on specific areas and established immediately. Indicative measures may include: the optimal allocation of watchtowers as well as the spatial optimization of mobile firefighting vehicles;and, forest fuel treatments in areas characterized by extremely high fire risk. The added value of this fire prediction tool is that it is highly flexible and could be adopted elsewhere with the necessary adjustments to local characteristics.

Innovation in Bio-disaster Prevention and Control Mechanism after Forest Tenure Reform at County Level

Taking Youxi County of Fujian Province as an example,the author introduced basic situations of new bio-disaster prevention and control mechanism for forest resource protection and social service works after the forest tenure reform.Then,the author analyzed new problems faced by bio-disaster prevention and control in forestry.Finally,the author present the existing problems of bio-disaster prevention and control at the county level from five aspects:innovating upon plant quarantine management mechanism;innovation upon survey methods and service modes of bio-disaster monitoring;strengthening and improving construction of bio-disaster monitoring and forecasting network;innovating upon management system for bio-disaster prevention and control;speeding up construction of service system for social prevention and control of bio-disasters.

The Design and Realization on Effectively Fire Tower Planning Based on MapGIS-TDE

Fire-tower is effectively applied in forest fire prevention and commanding system, especially in fire monitor and position. After explaining the significance of scientific planning of fire-tower, this paper analyzes GIS`s functions in building forest fire prevention system. This paper uses case study method, which designs a model, fire tower planning and analysis, based on MapGIS platform. After that, it directs us how to realize these functions based on MapGIS-TDE which is a 3D platform belonged to MapGIS. This paper gives us scientific ways to fire tower planning in forest fire system which promotes informationization of forest fire prevention management.

Research on the Prevention and Control Methods for Forest Disasters in China's Forestry Ecological Environment Construction

With the development of economy,China has gradually begun to pay attention to the protection of the natural environment.Under the concept of"lucid waters and lush mountains are invaluable assets",importance has been attached to the development of forestry economy.The protection of forest resources and the prevention and control of disasters are important contents and necessary components in the construction of China's forestry ecological environment.Through the analysis and research on the types of forest disasters(forest fires,biological disasters,meteorological disasters,geological disasters,deforestation)and disaster-causing factors,some basic countermeasures were put forward with the aim to enhance the production capacity of forest resources,improve the ecological environment of forest resources and prevent forest resource disasters.

Climate change indirectly enhances sandstorm prevention services by altering ecosystem patterns on the Qinghai-Tibet Plateau

Climate change influences both ecosystems and ecosystem services.The impacts of climate change on ecosystems and ecosystem services have been separately documented.However,it is less well known how ecosystem changes driven by climate change will influence ecosystem services,especially in climate-sensitive regions.Here,we analyzed future climate trends between 2040 and 2100 under four Shared Socioeconomic Pathway(SSP) scenarios(SSP1-2.6,SSP2-4.5,SSP3-7.0,and SSP5-8.5) from the Coupled Model Intercomparison Project 6(CMIP6).We quantified their impacts on ecosystems patterns and on the ecosystem service of sandstorm prevention on the Qinghai-Tibet Plateau(QTP),one of the most climate-sensitive regions in the world,using Random Forest model(RF) and Revised Wind Erosion Equation(RWEQ).Strong warming(0.04℃/yr) and wetting(0.65 mm/yr) trends were projected from 2015 to 2100.Under these trends,there will be increased interspersion in the pattern of grassland and sparse vegetation with meadow and swamp vegetation,although their overall area will remain similar,while the areas of shrub and needleleaved forest classes will increase and move toward higher altitudes.Driven by the changes in ecosystem patterns caused by climate change indirectly,grassland will play an irreplaceable role in providing sandstorm prevention services,and sandstorm prevention services will increase gradually from 2040 to 2100(1.059-1.070 billion tons) on the QTP.However,some areas show a risk of deterioration in the future and these should be the focus of ecological rehabilitation.Our research helps to understand the cascading relationship among climate change,ecosystem patterns and ecosystem services,which provides important spatio-temporal information for future ecosystem service management.

Comparative study of different machine learning models in landslide susceptibility assessment: A case study of Conghua District, Guangzhou, China

Machine learning is currently one of the research hotspots in the field of landslide prediction.To clarify and evaluate the differences in characteristics and prediction effects of different machine learning models,Conghua District,which is the most prone to landslide disasters in Guangzhou,was selected for landslide susceptibility evaluation.The evaluation factors were selected by using correlation analysis and variance expansion factor method.Applying four machine learning methods namely Logistic Regression(LR),Random Forest(RF),Support Vector Machines(SVM),and Extreme Gradient Boosting(XGB),landslide models were constructed.Comparative analysis and evaluation of the model were conducted through statistical indices and receiver operating characteristic(ROC)curves.The results showed that LR,RF,SVM,and XGB models have good predictive performance for landslide susceptibility,with the area under curve(AUC)values of 0.752,0.965,0.996,and 0.998,respectively.XGB model had the highest predictive ability,followed by RF model,SVM model,and LR model.The frequency ratio(FR)accuracy of LR,RF,SVM,and XGB models was 0.775,0.842,0.759,and 0.822,respectively.RF and XGB models were superior to LR and SVM models,indicating that the integrated algorithm has better predictive ability than a single classification algorithm in regional landslide classification problems.

基于图像处理和BP神经网络的森林防火无人机系统

对无人机设计方案、图像处理和火焰分割算法的技术原理进行了介绍,并利用BP神经网络对图像中的火焰面积变化率和火焰尖角等特征进行识别,实现了对森林火灾的快速监测。实验结果表明:系统的准确率为98.5%,比普通神经网络的84.5%更高;耗时仅22 s,比普通神经网络159 s缩短很多。这表明,BP神经网络是更可靠且更有效率的火灾识别方案。

基于IForest和SVD的直流传感器去噪方法

直流系统接地故障主要采用非接触式的直流漏电流检测方法。针对直流漏电流传感器灵敏度和稳定度不能同时提高、噪声干扰大的特性,提出了一种基于孤立森林-奇异值分解原理的去噪方法,在保证信号灵敏度的前提下,提高了信号检测的稳定性。首先采用孤立森林方法去除信号中离群点,提高信号的信噪比;使用奇异值分解,并重构去除信号中的白噪声;利用指数加权平均值算法平滑信号,进一步抑制干扰。仿真及实验结果表明,该方法与传统的低通滤波器方法和经验模态分解算法相比,去噪后信号信噪比更高,均方根误差更小,信号的稳定性明显提高。

A New Approach in Hail Prevention Technique for a Locally Restricted Area

This article describes a new method for hail detection and an autonomous and automatically functioning complex for hail prevention, suppression or trapping for locally restricted application.

Forest Change in China: A Review

Forests and the dynamic changes play decisive roles in soil erosion prevention,biodiversity conservation and climate warming mitigation,and are crucial for China to achieve carbon neutrality because of the ability for carbon uptake.China’s forests experienced a substantial change over the past century,primarily since the forest conservation and restoration programs were implemented.In this paper,the progress of China’s forest change and the similarities and differences of the spatio-temporal patterns from multi-dimension coupling with ground surveys and satellite observations were reviewed comprehensively,and the drivers of forest change were discussed.Our review reported that:(1)China’s forests experienced an extensive forest gain/restoration in vegetation greenness,forest cover,and aboveground biomass since the 1970s.(2)Changes in various forest parameters suggested distinctive spatiotemporal patterns in China.Consistent hotspots of forest gain clustered in the Loess Plateau and the southwestern China from most studies,while controversial conclusions about forest loss/degradation were found in the spatial distribution.(3)The geographic discrepancy of forest changes may be related to climate change,human activities,and forest disturbances.Variations in forest dynamics are prerequisites to exploring the effects of natural conditions and forestry policies on forest cover,and strengthening understanding of the carbon cycle.These findings can provide valuable insights for various ecological services in further studies and a scientific basis for forest management and policy-making in China.

Hail Detector and Forecaster ArtAr-HDF

This article describes a new and low-cost microwave passive sensor for hail prediction (forecasting) and detection developed in Armenia, which can be used to implement fully autonomous and automatically functioning hail protection of locally limited or large agricultural and urban areas in order to prevent, suppress or catch hail in traps. The article also presents the results of measurements of the intrinsic emission characteristics of water and ice, rain and hail clouds, carried out in laboratory and field conditions in the Ku-band of radio frequencies. The results obtained showed that the intrinsic emission of a hail cloud in the Ku-band of radio frequencies differs significantly from the intrinsic emission of a rain cloud. The presented results show that indeed the radar is not very suitable for the timely detection and determination of hail with a high probability, which is very important for the timely starting up of anti-hail protection means. On the contrary, radiometers (passive microwave sensors) can become an effective sensing tool for timely detection and recognition of hail with a high probability of long-range approaches up to ~12 - 15 km.

基于HTML5技术的森林防火教育应用设计研究

森林防火教育既是护林工作的基础,又是此项工作的重中之重。为让更多人通过互联网平台学习森林防火知识,了解森林火灾的应急措施,文章提出利用超文本5(HyperText Markup Language 5,HTML5)技术设计森林防火宣传教育应用。

浙江慈溪海防林天牛的主要寄主树种与危害防控

[目的]调查慈溪海防林天牛危害树木种类,并研究天牛的防治方法。[方法]2009年,对慈溪主要防护林工程区及城市绿地、市林场开展野外调查,整理出天牛寄主树种名单,并列出遭受严重危害的林木种类。2021—2022年,对天牛寄主树种作了补充调查和资料完善。[结果]据野外调查,浙江慈溪沿海防护林天牛的寄主树种共73种,其中17种受害严重。经连续3年对天牛进行综合防控,林木天牛幼虫平均虫株率从35.70%下降到16.40%;田间林木天牛成虫虫口密度从1153.5头/hm^(2)下降到529.5头/hm^(2),降幅达54.10%,效果十分显著。[结论]综合应用药剂防治、人工杀灭和诱集树引诱集中防治等方法,有利于提高天牛防效。