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New Trend of Forest Chemical Industry in China

Song Zhanqian

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 1-6

Abstract:

Forest chemical industry can produce various useful products by chemical processing of forest resources.It is one of the important fields of effective and sustainable utilization of forest resources.The present conditiobns of the forest chemical industry in China was reviewed in this paper.

Keywords： forest chemical industry     forest resource     chemical processing    

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Progress of forest certification in China

Wenming LU, Maharaj MUTHOO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 414-420 doi: 10.15302/J-FASE-2017185

Abstract: forest management.Program has resulted in little demand for forest certification of natural forest management units.to promote sustainable forest management and how the concept of forest certification can be used toIn general, forest certification in China has a clear role in sustainable forest management, both fortimber and non-timber forest products.

Keywords： China Forest Certification Scheme     forest certification     government support     opportunities and challenges     sustainable forest management    

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Key Technologies of Forest Resource Examination System Development in China

Xiuli Zhao, Zhongke Feng, Yangyang Zhou, Yicheng Lin

Engineering 2020, Volume 6, Issue 5,   Pages 491-494 doi: 10.1016/j.eng.2019.07.022

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A New Way to Study the Three Essential Factors of Forest Fire

Zhao Xianwen

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 66-71

Abstract:

This thesis took the three essential factors of forest fire (fire source, environment, and litter)as the point of departure,and has approached the forecast method of forest fire in tropical area ofFor example,in the aspect of forest fire forecast, the main cause of forest fire was artificial fire,In the aspect of the analysis of environment that contributes to forest fire,correlation would revealIt provided an effective and quantitative way with higher reliability for forest fire forecast on region

Keywords： forecast of forest fire     space remote sensing     essential factors of forest fire     a new way    

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Cattle manure biochar and earthworm interactively affected CO and NO emissions in agricultural and forest

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1473-8

Abstract: ItemContent>

• Earthworms increase CO2 and N2O emissions in agricultural and forest

Keywords： Carbon sequestration     Forest soil     Cattle manure biochar     Greenhouse gas emissions     Soil fauna    

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Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1111-1127 doi: 10.1007/s11709-021-0757-1

Abstract: A novel floating breakwater-windbreak structure (floating forest) has been designed for the protectionAn array of tubular columns on the sloping deck of the breakwater act as an artificial forest-type windbreakThe study shows that the proposed 1 km long floating forest is able to shelter a lee area that stretches

Keywords： floating structure     breakwater     windbreak     hydrodynamic     CFD    

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Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 456-465 doi: 10.1007/s11709-013-0218-6

Abstract: of land use change on the hydrological cycle is very important for development of sustainable water resourcesoil and hydrological properties in an upland field catchment, which was reclaimed partially from a forestcatchment, were compared with another forest catchment.This study will provide information for forest managers in planning and making decisions for land andwater resource management.

Keywords： land-use change     hydrological processes     upland field catchment     forest catchment     semi-distributed hydrological    

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Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling

Hai-Bang LY; Huong-Lan Thi VU; Lanh Si HO; Binh Thai PHAM

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 224-238 doi: 10.1007/s11709-022-0812-6

Abstract: In this study, we developed a hybrid model of Random Forest coupling with a Relief algorithm (RF-RL)

Keywords： soil consolidation coefficient     machine learning     random forest     Relief    

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Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 277-286 doi: 10.1007/s11465-015-0348-8

Abstract:

This paper addresses the development of a random forest classifier for the multi-class fault diagnosisapplication is identified and the best features are selected through the internal ranking of the random forest

Keywords： fault diagnosis     spur gearbox     wavelet packet decomposition     random forest    

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Soil enzyme activities and their indication for fertility of urban forest soil

SHAN Qihua, YU Yuanchun, ZHANG Jinchi, YU Jian

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 218-223 doi: 10.1007/s11783-008-0037-5

Abstract: To reveal the biological characteristics of urban forest soil and the effects of soil enzyme on soilfertility as well as the correlation between physicochemical properties and enzyme activities, 44 urban forestdehydrogenase, and alkaline phosphatase were important biological indicators for the fertility of urban forestThe more soil enzyme activities there were, the higher the fertility of urban forest soil.
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Regional GIS-based evaluation of the potential and supply costs of forest biomass in Sweden

Dimitris ATHANASSIADIS, Tomas NORDFJELL

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 493-501 doi: 10.15302/J-FASE-2017179

Abstract: The potential for harvestable forest fuel (logging residues and stumps from regeneration fellings andMarginal cost curves for logging residues and stumps are calculated through a GIS-based method based on forestThe distance from the center of each forest inventory plot to the nearest receiving point within theThere were large differences in the estimated potential of harvestable forest fuel between the regionsInformation on the economic availability of logging residues and stumps in each region is important for forest

Keywords： GIS     logging residues     heat and-power faci-lities     stumpwood    

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Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 674-685 doi: 10.1007/s11709-018-0505-3

Abstract: M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches were

Keywords： batter piles     oblique load test     neural network     M5 model tree     random forest regression     ANOVA    

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Forest resources in China ---- Figures and Graphics

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 504-508 doi: 10.15302/J-FASE-2017191

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Study on the Beaches Snails Outwipping Forest Ecological Engineering

Peng Zhenhua

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 12-16

Abstract: schistosomiasis prevention in China, and brought forward the theory of the beaches snails outwipping forestprobanation in the middle and lower reaches of the Yangtze River in order to carry out snail outwipping forest

Keywords： forest ecological engineering     oncomelania control     beach     middle and lower reaches of the Yangtze River    

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ANN Analysis of Multi-correlation Between Forest Fire Risk and Weather Parameters

Song Weiguo,Ma Jian,Satoh K,Wang Jian

Strategic Study of CAE 2006, Volume 8, Issue 2,   Pages 61-66

Abstract:

Calculation of forest fire probability is a complex issue concerning weather, tree species, geographyThe impact of weather parameters on fire has been one of the hot spots in the forest fire study.In this paper, the effect of 5 daily weather parameters on forest fire probability is investigtated.The study has practical implicaitons for forest fire risk prediction and the results can act as a basicdata in forest fire proteciton.

Keywords： neural network     forest fire     fire probability     weather     fire risk    

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Title Author Date Type Operation

New Trend of Forest Chemical Industry in China

Song Zhanqian

Journal Article

Progress of forest certification in China

Wenming LU, Maharaj MUTHOO

Journal Article

Key Technologies of Forest Resource Examination System Development in China

Xiuli Zhao, Zhongke Feng, Yangyang Zhou, Yicheng Lin

Journal Article

A New Way to Study the Three Essential Factors of Forest Fire

Zhao Xianwen

Journal Article

Cattle manure biochar and earthworm interactively affected CO and NO emissions in agricultural and forest

Journal Article

Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Journal Article

Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Journal Article

Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling

Hai-Bang LY; Huong-Lan Thi VU; Lanh Si HO; Binh Thai PHAM

Journal Article

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Journal Article

Soil enzyme activities and their indication for fertility of urban forest soil

SHAN Qihua, YU Yuanchun, ZHANG Jinchi, YU Jian

Journal Article

Regional GIS-based evaluation of the potential and supply costs of forest biomass in Sweden

Dimitris ATHANASSIADIS, Tomas NORDFJELL

Journal Article

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Forest resources in China ---- Figures and Graphics

Journal Article

Study on the Beaches Snails Outwipping Forest Ecological Engineering

Peng Zhenhua

Journal Article

ANN Analysis of Multi-correlation Between Forest Fire Risk and Weather Parameters

Song Weiguo,Ma Jian,Satoh K,Wang Jian

Journal Article