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  • دکتری (1384)

    مهندسی جنگل

    تهران، کرج، ایران

  • کارشناسی‌ارشد (1377)

    مهندسی جنگل

    دانشگاه تهران، کرج، ایران

  • کارشناسی (1375)

    جنگل داری

    تهران، کرج، ایران

  • برنامه ریزی عملیات تعمیر و نگهداری جاده های جنگلی
  • پایش و ارزیابی خسارات بهره برداری جنگل
  • سامانه های پشتیبان تصمیم گیری و اطلاعات مکانی در منابع طبیعی
  • پژوهش عملیاتی در جنگلداری
  • آزمایشگاه مهندسی جنگل

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ارتباط

رزومه

3D reconstruction of uneven-aged forest in single tree scale using digital camera and SfM-MVS technique

Hadi Bayati, Akbar Najafi, Javad Vahidi, Seyed Gholamali Jalali
Journal PapersScandinavian Journal of Forest Research , 2021 March 24, {Pages 11-Jan }

Abstract

This study highlights the potential of hand-held digital cameras and SFM-MVS to produce a 3D reconstruction of individual trees at the single tree level in a deciduous and uneven-aged forest (faculty of natural resource, Tarbiat Modares University-area with about 2400 m2 and 35 trees). A high coefficient of the determinant (R2 = 98%) was observed between DBH derived from both filed measurements and the SfM-MVS technique. The percentage of the coefficient of variation of the root mean square error (CV(RMSE)%) and Bias of the technique to estimate DBH of the trees were 5.66% and −0.09%, respectively. The technique demonstrated a good linear relationship between the estimated tree height via field measurement and SfM-MVS (R2 = 89%),

Analytic Network Process (ANP) as an approach to Priority of Wood Raw Material for Wood and Paper Factories

Akbar Najafi, Ali Akbar Rafiee, Seyed Saeed Shamsi
Journal PapersECOPERSIA , Volume 9 , Issue 3, 2021 April 10, {Pages 0-0 }

Abstract

Materials and Methods: In this study we used Analytic Network Process (ANP) to Priority of Supplying Wood Material in Wood Factories. In Mazandaran Wood and Paper factory, the wood materials are supplied through four methods, include forest, ligniculture (wood farming), wood importation and purchase wood from local markets. In order to conduct this research the questionnaires were prepared and distributed among 23 specialist experts. After completing the questionnaires and organizing the model in the super decision software (version 1.6),(Analytic Network Process), the inputs and prioritization of the alternatives were done. Results: The most important resources for supplying wood raw materials in Mazandaran Wood and Paper factory includes

A Comparison of an Adaptive Neuro-Fuzzy and Frequency Ratio Model to Landslide-Susceptibility Mapping along with Forest Road Networks

N Zare, SAO Hosseini, MK Hafizi, A Najafi, B Majnounian, M Geertsema
Journal Papers , , {Pages }

Abstract

Predicting the deterioration of the forest road network by employing the Markov chain (Case study: Forest road in the western part of Haraz)

S Ahrari, A Najafi, A Hoseinzade Kashan
Journal Papers , , {Pages }

Abstract

Analytic Network Process as an Approach to Prioritize Wood Raw Material for Wood and Paper Factories

L Vatani, A Najafi, AA Rafiee, SS Shamsi
Journal Papers , , {Pages }

Abstract

Evaluating the environmental, social and economic effects of the Dohezar forest road in Tonekabon using Geocybernetic Assessment Matrix

E Abbasi, SA Hosseini, E Abdi, A Najafi
Journal Papers , , {Pages }

Abstract

Assessment of topsoil disturbance caused by different skidding machine types beyond the margins of the machine operating trail

Ahmad Solgi, Akbar Najafi, Deborah S Page-Dumroese, Eric K Zenner
Journal PapersGeoderma , Volume 367 , 2020 May 15, {Pages 114238 }

Abstract

Forest soil disturbances are unavoidable in ground-based skidding operations and it is well-known that the extent, duration, and severity of disturbances increase with increasing trafficking from harvest equipment and slope gradient. It is unclear, however, how different types of harvest equipment affect the extent of disturbance along the margins of skid trails.The aim of this study was to investigate changes in topsoil (0–10?cm depth) physical properties beyond the margins of skid trails in mountainous terrain in response to skidding with three different skidder types with varying tire ground pressure. Three skidder types (rubber tired “Timberjack 450C” skidder (site RT1), rubber tired “TAF E655” skidder (site RT2), “Onezhets

Optimization Forest Road Construction Using Ant Colony Metaheuristic

I PAZHOHAN, A NAJAFI, J VAHIDI, ROUHANI A KAMKAR
Journal Papers , Volume 12 , Issue 100816, 2020 January 1, {Pages 113-130 }

Abstract

For designing forest roads that in addition to minimize the cost of constructing, satisfy environmentalists, it is necessary to provide designers and contractors accurate data from surface and subsurface conditions of the road area due to the large-scale of data using of optimization methods (metaheuristic algorithms) with the help of computers is necessary. For this purpose, this research was carried out on a proposed forest road whit length of 1 km in the forests of the district 4 of Babakoh in the city of Siahkal in Guilan province. The cycle of all earthwork work was studied by continuous time study method and the information of the subsurface layers terms of digging was carefully recorded. The results of comparing the method of the ant

Time and Cost Simulation of Forest Roads Construction Using Monte Carlo Analysis

IMAN PAZHOUHAN, OMID FATHIZADEH, Rouhani Abolghasem Kamkar, JAVAD VAHIDI, AKBAR NAJAFI
Journal Papers , Volume 8 , Issue 15, 2020 January 1, {Pages 128-135 }

Abstract

Project time and cost are one of the issues and challenges that employers and contractors are facing whit them especially in the forest area. One of the most effective tools that used in prediction and risk analysis is Monte Carlo analysis that Based on the production of random numbers, the number of single components of a set is computed and find out their effect on the whole set. In the traditional approach to project control that still dominates in most national projects, estimating the probable time and budget of the project is still unpredictable to managers and experts. In this work, we tried to present a model for considering the probability and risk in estimating the probability of completion of the project by given time and cost of

Utilization of woody pruning residues of apple trees

Najibeh Gilanipoor, Rafaele Spinelli, Ramin Naghdi, Akbar Najafi
Journal PapersForest Science and Technology , 2020 November 12, {Pages 08-Jan }

Abstract

Utilize agricultural residues from pruning brings many advantages including employment, social and economic benefit, rural development, natural forest protection, increased energy efficiency, and lower costs of raw material for the production of particleboard industry. In this study, the use of wood utilization of pruning residues from apple trees has been investigated by using chipping at the landing chipping methods (LCMs) and farm chipping methods (FCM). These methods were conducted on seven farms, totaling 9.2 ha. A time study was used to estimate operation time and cost. Transportation of chips from the study area to factories was done with semi-trailers, trucks, and pickup trucks. The residue yield was between 1.8 and 2

Spatial prediction of soil disturbance caused by forest logging using generalized additive models and GIS

Saeid Shabani, Akbar Najafi, Baris Majnonian, Jalil Alavi, Ali Sattarian
Journal PapersEuropean Journal of Forest Research , 2019 January , {Pages 12-Jan }

Abstract

Forest soil conditions can be affected by ground-based harvesting; the degree of impact depends upon management factors, location of stands, soil, and topographical conditions. The present study predicted the area and extent of the disturbance of forest soil using soil data collected from 39 ground-based working areas. Random sampling was used to lay out 351 circular sample plots, each with a radius 10 m and located within 39 working areas, before the beginning of logging operations. Data regarding local conditions including stand characteristics, terrains, physical and mechanical properties of the soil, and extraction method was collected and used as predictor variables. Soil compaction, displacement, and rutting were defined as the respon

Application of Multi-Criteria Decision-Making Techniques (ANP) in order to Optimize Management by Prioritizing the Specific Areas of Tourism (Case Study: Yazd Province)

Ali Ghomi Avili, Akbar Najafi, Aboutaleb Ghasemi, Kourosh Ahmadi
Journal PapersTourism Research Journal , Volume 1 , Issue 2, 2019 July 10, {Pages 12-Jan }

Abstract

Knowing natural and human potentials of each area makes it possible for the development planning to be done based on the current situation and its potential. Typical tourism areas of the country are one of the key issues in policy making and tourism development, where attracting private sector investment, will provide sustainable regional development. The aim of this study is choosing a touristic area between the three regions Khranq, Saryazd and Narin Castle in Yazd province. The data was collected using documentaries and field research and data collection tool is a questionnaire with simple random sampling. In this study, to select and prioritize the tourism area, ANP (Analytic Network Process) of multi-criteria decision making techniques

Landslide Hazard Zonation with Frequency Ratio Method (Case Study: Forest of Mazandaran Wood and Paper Industry)

Nastaran Zare, Akbar Najafi, Baris Majnounian
Journal PapersJournal of Watershed Management Research , 2019 December 1, {Pages 0-0 }

Abstract

ٜزاخ تذاؾ ْاٍٙٞ ٝٙٔاز (ةیق ٝدٙپ فصح ات، ٍُٙخ ضز یػٛ٘، یعیطواذ ٝٙٔاز ضز ضاتطؾ فیاعفا ٚ) یضازطثواذ ةیق یضاسیاپا٘ ةثؾ ٚ ٜزاز خض ٍُٙخ تؼیثط ضز یٍتفقآ ٗییاپ ٚ تؾزلاات عٛلٚ ٝدیت٘ ضز ٚ یٍّٙخ ٜزاخ تؾز ٗیٔظ ٜزاخ یحاطط ضز ٗیاطتاٙت. ززطٌ ـعغِ یٍّٙخ یاٞ

Fuzzy Points in BE-Algebras

Ardavan Najafi, Arsham Borumand Saeid
Journal PapersJournal of Mahani Mathematical Research Center , Volume 8 , Issue 2, 2019 November 1, {Pages 69-80 }

Abstract

The aim of this paper is to introduce the notion of fuzzy points and weak filters in BE-algebras and investigate their properties. We generalize some results in commutative and selfdistributive

Select the tourism area in South Khorasan province using the ANP technique

AKBAR NAJAFI
Journal Papers , Volume 17 , Issue 5600658, 2019 January 1, {Pages 139-158 }

Abstract

Tourism is one of the most dynamic economic activities in the present era, which plays an important role in the local sustainable development, and its development priority requires the recognition of affecting and limiting factors of natural, economic, social and cultural each region. Moreover, these areas areas reveal a special importance for tourists due to having a set of natural and historical attractions. Accordingly, the main objective of the present study is the selection and prioritization of tourism areas among the three areas" Banddareh-e-Birjand, Baghestan Abgarm Ferdows and Ghaen tourism area" in South Khorasan province by using the ANP method. Therefore, to obtain the appropriate results in the tourism areas prioritization in S

Supervised classification of Buxus hyrcana plant communities using artificial neural network

F Khabazi, O ESMAILZADEH, A NAJAFI
Journal Papers , Volume 11 , Issue 3, 2019 January 1, {Pages 387-400 }

Abstract

In this research, the application of Artificial Neural Network or MLP method in the process Assignment of relev?-groups/plant communities allocation was evaluated using Buxus hyrcana forests database. For this purpose, firstly, the ecological and sociological groups of B. hyrcana were determined using TWINSPAN and Braun-Blanquet method, respectively. The results of both numerical and expert based classification dendrogram of the B. hyrcana communities, which included seven levels of classification as primary groups/plant communities, were introduced to MLP. Then, with assignments in three sets of training (70%), test (15%) and validation (15%), the MLP classification was performed on each level of the two dendrograms. The results showed tha

Supervised classification of Buxus hyrcana plant communities using artificial neural network.

F Khabazi, O Esmailzadeh, A Najafi
Journal Papers , , {Pages }

Abstract

Pavement Deterioration Modeling for Forest Roads Based on Logistic Regression and Artificial Neural Networks

Mohammad Javad Heidari, Akbar Najafi, SeyedJalil Alavi
Journal PapersCrotian journal of Forest engineering , Volume 39 , Issue 2, 2018 January , {Pages 271-287 }

Abstract

The accurate prediction of forest road pavement performance is important for efficient management of surface transportation infrastructure and achieves significant savings through timely intervention and accurate planning. The aim of this paper was to introduce a methodology for developing accurate pavement deterioration models to be used primarily for the management of the forest road infrastructure. For this purpose, 19 explanatory and three corresponding response variables were measured in 185 segments of 50 km forest roads. Logistic regression (LR) and artificial neural networks (ANNs) were used to predict forest road pavement deterioration, Pothole, rutting and protrusion, as a function of pavement condition, environmental factors, tra

LONG-TERM IMPACTS OF GROUND SKIDDING ON STANDING TREES: ASSESSMENT OF DECAY USING STRESS WAVES.

Davoud Kartoolinejad, Akbar Najafi, Saeed Kazemi-Najafi
Journal PapersEnvironmental Engineering & Management Journal (EEMJ) , Volume 16 , Issue 10, 2017 October 1, {Pages }

Abstract

Timber harvesting and log extraction with conventional ground-based skidding systems in steep, mountainous terrain often results in severe damage to residual stands and forest sites. In this study, the impact of rubber-tired skidders on standing trees along sides of the trails was investigated 5 to 20 years post-harvest in terms of frequency and development of decay at the points of wounding. The study was located in the Hyrcanian mountainous forests of Iran. All standing beech trees (healthy or wounded) were evaluated on both sides of the skid trails; four age classes (determined in relation to time since logging) were selected in chronosequence over 20 years (four 5-year classes) in a managed forests. Stress wave velocity was tested in th

Subsurface elements prediction for the design of forest road using ground penetrating radar technique

Iman Pazhouhan, Akbar Najafi, Abolghasem KamkarRouhani, Vahidi Javad
Journal PapersBulletin of Engineering Geology and the Environment , 2017 January , {Pages 09-Jan }

Abstract

Reliable and accurate earthwork calculation is one of the most important components in road engineering that can influence the construction cost and road alignment choice. In this research, the method of ground penetrating radar (GPR) was applied to detect the subsoil rock share in forest road construction. The GPR data acquisition was carried out using a 250 MHz GPR antenna along 22 segments on the centerline and 12 meters across to the road project. The GPR data processing was done by performing different filters, such as background removal, migration, band pass filter, and horizontal and vertical smoothing on the GPR data. To investigate the capability of the GPR method used in this road construction project, we compared th

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دروس نیمسال جاری

  • كارشناسي ارشد
    پيامدهاي عمليات مهندسي ( واحد)
    دانشکده منابع طبیعی و علوم دریایی، گروه جنگلداري
  • كارشناسي ارشد
    پيامدهاي عمليات مهندسي ( واحد)

دروس نیمسال قبل

  • كارشناسي ارشد
    برنامه ريزي شبكه جاده هاي جنگلي ( واحد)
    دانشکده منابع طبیعی و علوم دریایی، گروه جنگلداري
  • كارشناسي ارشد
    برنامه ريزي شبكه جاده هاي جنگلي ( واحد)
  • دكتري
    طراحي سيستم هاي مهندسي جنگل ( واحد)
  • دكتري
    طراحي سيستم هاي مهندسي جنگل ( واحد)
  • 1400
    عباسي سي بني, اميرحسين
    پيامدهاي حضور دام بر تخريب سطحي خاك جنگل
  • 1397
    چوگان, بهروز
    مدل سازي مخاطرات چندگانه حاشيه جاده هاي جنگلي (زمين لغزش، آتش سوزي و افتادن درخت) با استفاده از الگوريتم هاي هوش مصنوعي.
  • 1397
    سوادكوهي, امير
  • مدیر جنگل آموزشی پژوهشی دانشگاه تربیت مدرس
  • معاون پژوهشی دانشکده منابع طبیعی و علوم دریایی
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