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世聯(lián)翻譯公司完成林業(yè)區(qū)域“區(qū)域林業(yè)碳匯源計量體系”簡介英文翻

發(fā)布時間:2020-07-31 15:58  點擊:

世聯(lián)翻譯公司完成林業(yè)區(qū)域“區(qū)域林業(yè)碳匯源計量體系”簡介英文翻譯
Regional Forestry Carbon Sink / Source Measurement System
 
Executive Report
 
 
Implementation Units
The Nature Conservancy
Sichuan Forestry Survey and Planning Institute
Institute of Geographic Sciences and Natural Resources Research
Sichuan Academy of Forestry
Chengdu Institute of Biology, Chinese Academy of Scienc
Funding Agencies:
 
 
June 2014, Beijing 
 
Content 
Foreword
Project Objectives and Technical Route
Major Activities
Activity I: carrying out survey of land-use changes and forestry carbon accounting methodologies, parameters, metering system or model, including:
Activity II: assessment of land use changes in Sichuan province and forestry data and its applicability
Activity III: based on the above research activities, the land use changes and forestry data of Sichuan province, the application model and related costs to develop a framework for measuring carbon models the IPCC Third tier methodologies, as well as a carbon measurement framework system.
Activity IV: land use changes and forestry data collection, interpretation, standardization, the confirmation of forestry land use transition matrix of Sichuan province.
Activity V: collecting all the research literature on Chinese biomass and biomass equations and abroad, carrying out comprehensive analysis and establishing a national-scale biomass and litter equations and other carbon accounting parameters. These parameters are used to the measurement of way I in this carbon measurement system.
Activity VI: Sichuan province's forest biomass, shrub biomass, undergrowth shrub and grass, litter supplementary survey, measurement and model establishment. The project's measurement and modeling is used to initialize Method II sample tree in measurement system, carbon measurement in sample place and Method III model.
Activity VII: organic forest soil carbon research, investigation and measurement
Activity VIII: Measurement of 49 kinds of plant physiological and ecological parameters: measurement of the thirty-two categories of field trees, fifteen kinds of shrubs and four kinds of herbaceous plants' photosynthesis A-Ci curve (net photosynthetic rate and CO2 concentration), dark respiration, stomatal conductance, maximum carboxylation rate, maximum electron transport rate, physiological and ecological parameters such as leaf area and nitrogen content of various organs and carbon / nitrogen ratio. Activities IX: collecting and purchasing the 2010 historical climate data, developing, verifying and calibrating the radioactive transfer model, checking the spatial data of climate stations.
Activities X: researching on ecological process model and remote sensing model, developing Sichuan land use change and forestry carbon accounting model.
Activities XI: developing a linking program, carrying out clustering and overlay analysis, determining the minimum 10,540,000 calculating spatial units, improving inputs and outputs of model circulation structures.
Activities XII: running the model, Sichuan carbon sinks for the past twenty years and the results were analyzed, as the methodology of third level in this measurement system.
Activities XII: Development of first methodology based on forest resources statistics and second methodology based on forest resources survey sample place and sample tree statistics including relevant parameters (tree density, biomass expansion equation, root to shoot ratio, carbon content, etc.). Sichuan province's past 20 years of carbon sinks are measured, and the results are analyzed.
Activity XIII: applying a user-friendly interface, developing a software-use system , so that to enable the existing first-level and second-level methodology of computing, as well as the query and output of three levels of long time series methodology results.
Activity XIV: conducting a comprehensive analysis of three methodologies and drafting the project technical reports. ,which includes the technical description reports of three methodologies(more than 400 pages) and the results portfolio.
Activity XV: project research conferences: during the execution of the project, a large number of seminars were held, some important seminar were:
Activity XVI: International training: six project technical staff participated in CBM-CFS3 training held in Pacific Forestry Centre in Victoria, Canada, from February 27 to March 1 in 2012. 21
Activity XVII: during the climate change conference in Bonn, the multi-party forest carbon measurement conference was held on June 6, 2014 , introducing the results of this project.
Activity XVIII: The international jury .
Activity XVIIII: project summary conference
Main Outcomes
Foreword
Regular reporting of greenhouse gas inventories are the basic obligations for countries to fulfill The United Nations Framework Convention on Climate Change(UNFCCC). The Chinese government also asks all provinces and regions to submit regular greenhouse gas inventories. Land use changes and forestry carbon sinks are an important part of the greenhouse gas inventories of all countries and provinces and regions within the country. Changes in land use and forestry are extremely complex and has high uncertainty. China has a vast, complex terrain with a huge geographic span from tropical to cold temperate, from humid areas to the arid and semiarid regions and China has various vegetation types, making the measurement of land use change and forestry carbon sinks extremely complex and difficult.
To improve the accuracy, reliability, transparency and comparability of the countries compilation of national greenhouse gas inventories, the Intergovernmental Panel on Climate Change (IPCC) has published and updated the Compilation Guidelines for National Greenhouse Gas Inventories since 1995 for several times. The greenhouse gas sources are measured according to three tier methodology ranking from low to high. Among which Tier 1 carries out calculation through application of IPCC calculation methods and international parameters, Tier 2 carries out calculation through application of IPCC calculation method and country parameters, the Tire 3 methodology carries out calculation through application of country methods and parameters, including the establishment of a national carbon accounting system or model, and the application of satellite remote sensing and GIS, etc.
Directing at land-use change and forestry, the major developed countries, such as Canada, Australia, USA, UK etc. in whole or in part adopt Tire 3 methodology, especially in Canada, Australia and other countries national carbon accounting system or model are established. China has submitted two national greenhouse gas inventories to UNFCCC, IPCC Tier 2 methodology is mainly used in land-use change and forestry, the conformability can be up to 50%. In compiling the provincial greenhouse gas inventories, similar methods are applied.
In 2009, State Forestry Administration launched the "forestry carbon sink metering and  monitoring system construction". The project was started in 2009 and was listed as one of the first four pilot provinces by the State Forestry Administration. Sichuan has huge forest resources in China, its forest areas accounting for 8.4% of the country's total forest areas and its storage accounting for 12% of the total national amount. Sichuan province has complex terrain, from the plains, hills, low altitude mountains, medium altitude mountains to high altitude mountains, covering China's major ecosystem types. Therefore it has typical meaning to choose  Sichuan province as a demonstration province. The project aims to explore and establish a provincial or regional land-use change and forestry carbon accounting system in compliance with the highest level of IPCC methodology. The project is funded by the German Environment, Nature Conservation, Construction and Nuclear Safety Bureau  (BMUB), National Forestry Administration and Sichuan Forestry Department.
 
Project Objectives and Technical Route
Project objectives: taking Sichuan province as a demonstration province , based on the latest IPCC higher-level Guidelines methodology, to build a internationally recognized regional land-use change and forestry carbon measurement methodology (including the conversion between forest and other land types ) to meet possible future UNFCCC reporting and future intentional reporting requirements obligations, and to meet the information request by Sichuan Forestry to address climate change carbon sink forestry management policies, to improve China's ability to accounting land-use change and forestry carbon sinks.
Technical Route: Based on the survey of forest resources, monitoring systems, integrating multi-source, multi-outcome data on forest resources survey, remote sensing data, climate data, through forest carbon sink metering data base research to establish regional forestry carbon sink/source measurement platform applying to different scales and objects with gradually improved measurement and accuracy. Applying measurement system to carry out quantitative accounting about forestry carbon reserves and the spatial-tempetial trends of carbon sink/source, and comparing and verifying related measurement methods.
First, carrying out research on basic measurement data. ①carrying out informationization and standardization research on the data already have of forest, climate and remote sensing in the past forty years; ②carrying out the special research on the key elements such as biomass, forest soul organic carbon and physiological and ecological parameters.③ carrying out system. Second, carrying out research on measurement methods. ① taking the provincial statistical outcome as measurement, optimizing IPCC methodology recommended Tier 2 as the first level methodology of this measurement system; ② tinning the measurement down to the sample place and tree, carrying out systematic research on biomass, forest soil organic carbon measurement model, developing methodology based on the measurement of sample place and tree, that is the Tier 2 methodology of this measurement; ③ based on Tier 2 methodology ,integrating multi-source, multi-phase data such as remote sensing, climate data, physiological and ecological parameters and further extending to the measurement of spatial units to hill plots, developing Tier 3 methodology based on ecosystem process model.
 
Major Activities
Activity III: (Figure 1).
 
 
Tier 1 method                      tier 2 method                  tier 3 method
Figure 1 Carbon Measurement System Framework
 
Activity IV:
 
Table 1 Land Use Transition Matrix
Transferred out
 transferred in Woodland  非林地
Forest land  Open forest land  Shrub Land Other Forest Farmland grass land Waters Unused land Construction land
Forest stand Economic Forest Bamboo Forest
Forest stand 10738959  15284  42212  76376  26409  113562  23458 
Economic Forest 58114  699096  6814  7025  14390  111907  6994  27977 
Bamboo Forest 15114  4762  319755  7370  13433  13382 
Open forest land  200919  12135  375426  18916  14125 
Shrub Land 38793  18922  15725  6809678  30344  8897  710  710 
Other Forest 343867  48986  36822  25510  374312  1882915  47021  5225  7837
Farmland 246963  215096  61496  14617  109782  9528775  4862  14585  140987 
grass land 4842  4865  24911  8651706  0
Water area  4865  801133  0
Unused Land 4842  4865  5059338  0
Construction Land 815708  0
 
Figure 4  Land Use Change Figure
 
 
 
Table 2 Models for Single Plant Biomass
Species Position Form of the Equation
(B = single forest plant biomass, kg d.m.) Parameter Values Number of Samples Scope Modeling Location Literature Sources
a b c DBH (cm) Tree Height H (m) Forest Age (years)
Kashiwagi Aboveground   0.12703 0.79975 6~20 Dejiang,Guizhou province An Heping et al, 1991
Aboveground   0.1789 0.7406 16 - Yanting,Sichuan Shi Peili et al ,1996
Fujian Cypress Whole Forest   0.0614 0.9119 17 10~37 Anxi,Fujian Yang Zongwu et al, 2000
Whole Forest   0.13059 2.20446 28 4.4~14.8 4.4~9.3 6~15 Zhuzhou,Hunan Xue Xiukang et al, 1993
Arborvitae Aboveground   2.57097 0.03172 75 3.9~15.2 3.16~10.35 Yixian,Hebei Ma ZengWang et al, 2006
Thunbergii Whole Forest   0.1425 0.9181 18 33 Mouping,Shandong Xu Jingwei et al, 2005
Korean Pine Whole Forest   0.30891 0.79746 53 2.8~32.8 2.80~20.71 Liaoning Province Jia Yun et al, 1985
Aboveground   0.0615 0.3815 15 Baihe Forestry Bureau Chen ZhuanGuo et al, 1984
Armandi Whole Forest   -2.9132 0.9302 86 4.0~38.3  3.0~20.1 14~57 Mt.Xiaolong, Gansu Cheng Tongren et al, 2007
Pinus Taiwanensis Whole Forest   0.02193 1.04658 6.0~17.95 5.75~9.15 Shangchen,Henan Zhao Tishun et al, 1989
Loblolly Whole Forest   -2.77631 2.52444 50 9~17 Jurong,Jiangsu Kong Fanbin et al, 2003
Abies Aboveground   0.0387 0.9293 6.2~29.1 7.7~15.8 Ebian,Sichuan Su Ming et al, 2000
Fir Aboveground   0.0323 0.9294 20 Baihe Forestry Bureau Chen Zhuanguo et al, 1984
Spruce-fir Whole Forest   -3.2999 0.9501 57 5.5~45.7  6.0~20.5 10~69 Mt.Xiaolong, Gansu Cheng Tongren et al, 2007
Redskins Spruce Aboveground   5.2883 -2.3268 0.5775 17 6~37 Suileng,Heilongjiang Mu Liqiang et al, 1995
.............
 
Bamboo Type Bamboo Species (group) Equation
(Kg d.m. plant -1) Modeling Location Literature
Large Diameter Scattered Bamboos Phyllostachys (bamboo)
Changning,Sichuan He Yaping et al, 2007
  
Northern Fujian Chen Hui et al, 1998
 
  
Northern Guizhou Wu  Qixin, 1983
 
Dagang Mountain, Jiangxi Wu Qixin
 
Nie Daoping, 1994
 
Zhejiang Zhou Guomo, 2006
W aboveground = -11.497 +3.0465 DBH +0.111 7DBH2 Jiangxi, southern Zhejiang Chen Shuanglin et al, 2004
W aboveground = -11.497 +3.0465 DBH +0.111 7DBH2 Southern Jiangxi Li Xi et al, 2007
Phyllostachys (bamboo)   
Xu DaoWang et al, 2004
Phyllostachys (Taiwan Makino)
 
Eastern Fujian Zheng Yushan et al, 1997
W aboveground = -11.497 +3.0465 DBH +0.111 7DBH2
W total = 0.000721DBH2.8382H-0.3078 Eastern Fujian Zheng Yushan and Liang Hongshen, 1998
Large Diameter Scattered Bamboos Dendrocalamus(Dendrocalamus Latiflorus) W aboveground=0.540093DBH1.9305
W aboveground=0.172139DBH1.5684H0.3916 Fujian, Hainan Liang Hongshen and Chen Xuekui, 1998
Dendrocalamopsis(bamboo)
 
Fujian Province Zheng Yushan et al, 1997
..... ..... ....... ..... .....
 
Table 3 Aboveground Biomass - Related Accumulation Equation
Species (group)
 
 
 
 
Spruce, Fir 4.165749 0.653489
Larch 1.641699 0.801589
Korean Pine 2.783807 0.695848
Pinus Sylvestris 2.844362 0.677522
Chinese Pine 2.632238 0.696978
Armandi 4.573398 0.583726
Mason Pine 1.827539 0.792975
Slash Pine 2.053735 0.772233
Other Pines(including Simao pine, Yunnan pine,Taiwan pine , red pine, black pine, mountain pine, Changbai pine, loblolly pine, etc.) 2.403794 0.723530
Kashiwagi 1.985272 0.794173
Chinese Fir 2.536998 0.674639
Other fir (metasequoia, cedar, redwood, Keteleeria, Taxodium) 2.694643 0.665671
Quercus 1.340549 0.896018
Birch 1.075562 0.902351
Sweetgum, Schima superba, ashtree, walnut, yellow pineapple 2.685404 0.741345
Camphor, Phoebe 4.292969 0.613426
Other hardwood class 3.322268 0.687013
Poplar 0.942576 0.871034
Eucalyptus 1.221362 0.869172
Achacia 2.969276 0.706251
Casuarina 6.932459 0.595017
Other soft broad categories (linden, sassafras, willow, paulownia, neem, etc.) 1.142254 0.876051
Mixed Coniferous 3.211378 0.6466
Mixed Conifer 2.208249 0.7437
 
Table 4 Litter— Aboveground Biomass  Related Accumulation Equation
Species (group)
 
 
 
 
Spruce Fir 20.7385 -0.0102
Larch 67.413 -0.0141
Chinese Pine 24.2749 -0.0217
Mason Pine 7.2175 -0.0067
Other Pines (including Simao pine, Yunnan pine, Taiwan pine , red pine, black pine, mountain pine, Changbai pine, loblolly pine, red pine, Pinus sylvestris, pine, slash pine, etc.) 13.1198 -0.009
Kashiwagi 3.7595 -0.0047
Fir and other fir 4.9897 -0.0025
Quercus 7.7325 -0.0048
Birch, sweet gum, lotus wood, Shui Hu Huang, camphor, phoebe, and other hardwood class 6.9779 -0.0043
Poplar 12.3106 -0.0069
Eucalyptus 24.697 -0.014
Achacia 9.5338 -0.0004
Other soft broadleaf categories (linden, sassafras, willow, paulownia, neem, etc.) 8.1286 -0.0046
Mixed Coniferous 31.4239 -0.0257
Broadleaf Mixed Forest 10.7653 -0.0057
Mixed Conifer 9.7816 -0.0063
 
Activity VI: carrying out supplementary survey, measurement and model establishment of Sichuan province's forest biomass, shrub biomass, undergrowth shrub and grass, litter. The project's measurement and modeling is used to initialize Method II sample wood in measurement system, carbon measurement in sample place and Method III model.
Forest biomass measurement adopting systematic sampling and typical sampling methods, gathering 1477 plants of  15 categories major forest tree types in field ,measuring ) biomass of various organs (trunks, branches, leaves, roots).
 
 
Establishing an interaction term (D2H) regression model of 15 species' (group) biomass in each plant organ of single plant and test factor of trees in the following Table 5.
Table 5 Biomass in each organ of single plant and tree test factor interaction term (D2H) regression model
Model Form: y = a (D2H) + b
Dominant Species (group)
Trunk Branch Leaf Root
a b a b a b a b
Spruce 0.0114 37.5626 0.0665 0.7169 0.0430 0.6821 0.0345 0.7994
Yunnan Pine 0.0120 6.9646 0.0349 0.7164 0.0578 0.5700 0.0723 0.5810
Kashiwagi 0.0187 2.4597 0.1317 0.5290 0.2205 0.4404 0.1011 0.5461
Chinese Fir 0.0101 5.0111 0.0728 0.5699 0.1656 0.4384 0.0577 0.6238
Mason Pine 0.0134 13.0579 0.015 0.8166 0.0263 0.6604 0.0525 0.7136
Larch 0.0111 4.7674 0.0474 0.618 0.0310 0.5661 0.0140 0.8206
Other pines 0.0206 1.6156 0.0047 0.9834 0.0051 0.9249 0.0048 1.0287
Other Birch 0.0121 30.3463 0.0114 0.8854 0.0076 0.7340 0.0184 0.8186
Quercus 0.0178 20.5873 0.0271 0.7687 0.0465 0.5449 0.0773 0.7186
Other Camphora 0.0168 6.7421 0.0257 0.7968 0.0312 0.6505 0.0086 0.9625
Phoebe Species 0.0174 6.1856 0.0207 0.7735 0.0271 0.6093 0.1408 0.6558
Populus 0.0093 25.8334 0.0423 0.7713 0.1318 0.4315 0.1157 0.6272
Eucalyptus 0.0169 -0.5333 0.0638 0.5490 0.2170 0.2665 0.0342 0.7237
Hard Broadleaf 0.0217 7.4214 0.0079 0.9124 0.0164 0.7005 0.0051 1.0082
Soft Broadleaf 0.0169 4.0108 0.0373 0.7287 0.0889 0.4166 0.0876 0.6115
 
Using forest resource to carry out survey on measurement data of sample place; through stepwise regression analysis, establishing the regression equation of thirty groups' tree measurement data D2H and geographical factors (lon, (lon) 2, (lat), (lat ) 2, (elev), (elev) 2) (Figure 6), and by fusing the above-described biomass (D2H) allometric equation of biomass, realizing biomass equations spatial extension.
Table 6 (D2H) and geographical factors related equation
Dominant Species (group)
(Group) Model Form: f(D2H)=aD2+bD+c(lon)2+d(lon)+e(lat)2+f(lat)+g(elev)2+h(elev)+K
A b c d e f g h K
Spruce 43.54 -926.04 -274.34 55283.76 / / / / -2772311.75
Fir 35.75 -636.49 -5.25 / 224.59 -13302 / / 256096.84
Hemlock 54.22 -1516.6 / / / / / / 11052.41
Yunnan Pine 32.84 -523.99 -181.87 36855.05 78.51 -4464.19 / / -1801214.28
Mason Pine 22.76 -199.65 16.19 -3492.23 / / - E +00 / 188793.11
High Moutain Cedar 19.62 -266.53 -89.94 18608.54 / / / 10.26 -978330.72
Low, High Mountain Cedar 20.61 -158.16 / / -0.3 / / -0.34 875.79
Larch 30.6 -524.14 / -1152.39 / / / / 128038.05
Chinese Fir 26.35 -295.47 -0.16 / / 30.81 / / 1835.8
Slash Pine 21.69 -170.02 -5502.2 1155200.23 10689.55 -620167.84 / / -51639309.06
Cedar 22.13 -180.92 / / / / / 1.68 -173.53
Armandi 36.78 -659.8 115.9 -24689.17 3.65 / / / 1315417.89
Mountain Pine 30.62 -446.9 441.97 -89058.57 / / / -2.12 4495223.28
Chinese Pine 66.65 -1835.12 / 3564.17 1541.2 -100688.81 / 5.03 1274255.21
Keteleeria 27.66 -485.65 3952.86 -803800.14 -8.68 / / -4.5 40875436.88
Camphor 19.77 -187.59 / / 1.83 / / -0.14 -815.57
Phoebe 24.3 -263.16 / / / / / 1.4 183.02
Eucalyptus 18.18 -71.54 -44.41 9369.41 -72.28 4411.34 / -- -561336.58
High mountain Poplar 25.21 -242.97 / / -13.93 847.31 / -3.89 -5704.95
Low, High Mountain Populus 18.95 / / / / / / / -871.2
High Mountain Cedar 27.77 -369.61 -159.31 32406.41 / / / / -1646180.34
Low, High Moutain Cedar 22.37 -211.5 -35.91 7566.31 / / / 1.21 -398222.42
High Moutain Cedar 24.42 -362.14 -181.65 36742.67 115.51 -6768.48 / 4.08 -1763119.14
Low, High Mountain Cedar 23.13 -301.38 / -87.77 -60.85 3753.21 / / -47019.16
High mountain hard broadleaf 13.92 / 29621.07 -6118458.23 -24173.58 1579478.62 / / 290152586
Medium-height mountain hard broadleaf 18.08 -150.63 / / 85.21 / / / -2059.66
Low mountain hard broadleaf 19.7 -133.28 / / / / / -1.68 751.98
High mountain soft broadleaf 31.99 -559.93 / / / / -0.01 34.39 -55578.55
Medium-height mountain soft broadleaf 32.87 -580.84 / / 0.96 / / 1.81 804.53
Low mountain soft broadleaf 38.35 -583.95 -0.37 / / 94.36 / 1.09 3354.75
 
measuring the biomass of shrubs and herbaceous in nearby 122 continuous forest inventory sample plot. fitting and screening the biomass model of undergrowth shrubs and herbs;
undergrowth shrubs: Leaf 
Branch: 
Underground: 
Total: 
 
Under forest plantation:aboveground: 
Underground: 
Total: 
 
Under forest brush and grasses:aboveground: 
Branch: 
Underground: 
 
The Y in the equation stands for biomass(t/ha); is the plantation average coverage(%); is the product of brush average altitude (cm) and coverage。
 
(e) Measuring the litter amount of 214 continuous forest inventory sample place, and collecting sample of litter, analyzing the carbon and nitrogen content. Fitting and screening the litter model:
Coniferous forest: 
Mixed Forest 
Deciduous forest : 
Evergreen broadleaf forests: 
Bamboo forests: 
In the equation, Y stands for litter amount(t/ha); 、 、 、  seperately stand for the thickness(cm)of litter layer, stand volume(m3/ha),stand density(plant/ha)and dominate species average(m)。 、 、  seperately stand for longitude, latitude and altitude.
(f) Choosing 21 moso bamboo continuous survey sample place and  37 mixed sample plots,measuring the biomass of each organ of different diameter(taking one to two plants of each sample place in each diameter level with a total of 78 plants and biomass in mixed bamboo sample place. Fitting and screening the best single plant moso bamboo model:
Bamboo pole:  (D stands for diameter)
Bamboo branch: 
Bamboo leaf: 
Bamboo root: 
Since in the forest inventory carried out before 2007, only the number of moso bamboo plants were surveyed and thus there were no single plant measurement data. In the mixed bamboo sample place there were only plants number surveys. Thus we establishing and screening the best regression model of the biomass of bamboo and mixed bamboo Y(t/ha) and the number of plants N(plant/ha)in unit area:
Moso bamboo: 
Mixed bamboo: 
(g) Choosing 8 typical brush species of Sichuan, setting 27 survey sample plots,measuring the biomass and litter amount of each organ,fitting and screening the best regression model of biomass , litter amount (Y) and brush coverage degree(X):
Brush biomass: 
Brush litter amount: 
(h) While measuring the biomass, litter amount of all standing forests ,bamboo forest, under forest brush and grass, brush, gathering more than 1000 plant sample of different organs, including over 400 tree samples, moso bamboo, 84 moso bamboo samples, some mixed bamboo samples,276 under forest brush samples,186 under forest plantation samples,over 100 brush forest samples,221 litter sample. Carrying out measurement of carbon content.
 
Major Outcome
This project produced a lot of parameters, such as biomass equation, biomass accumulation default equation and litter equation and are directly applied foresting planting carbon sink project methodology approved by National Development and Reform Commission and forests operation carbon sink project methodology adopts also these. Following picture is the screenshot of the methodology of outcomes of this project.

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    華東建筑設(shè)計研究總院

  • “我單位是一家總部位于丹麥的高科技企業(yè),和世聯(lián)翻譯第一次接觸,心中仍有著一定的猶豫,貴司專業(yè)的譯員與高水準(zhǔn)的服務(wù),得到了國外合作伙伴的認可!”

    世萬保制動器(上海)有限公司

  • “我公司是一家荷蘭駐華分公司,主要致力于行為學(xué)研究軟件、儀器和集成系統(tǒng)的開發(fā)和銷售工作,所需翻譯的英文說明書專業(yè)性強,翻譯難度較大,貴司總能提供優(yōu)質(zhì)的服務(wù)!

    諾達思(北京)信息技術(shù)有限責(zé)任公司

  • “為我司在東南亞地區(qū)的業(yè)務(wù)開拓提供小語種翻譯服務(wù)中,翻譯稿件格式美觀整潔,能最大程度的還原原文的樣式,同時翻譯質(zhì)量和速度也得到我司的肯定和好評!”

    上海大眾

  • “在此之前,我們公司和其他翻譯公司有過合作,但是翻譯質(zhì)量實在不敢恭維,所以當(dāng)我認識劉穎潔以后,對她的專業(yè)性和貴公司翻譯的質(zhì)量非常滿意,隨即簽署了長期合作合同!

    銀泰資源股份有限公司

  • “我行自2017年與世聯(lián)翻譯合作,合作過程中十分愉快。特別感謝Jasmine Liu, 態(tài)度熱情親切,有耐心,對我行提出的要求落實到位,體現(xiàn)了非常高的專業(yè)性!

    南洋商業(yè)銀行

  • “與我公司對接的世聯(lián)翻譯客服經(jīng)理,可以及時對我們的要求進行反饋,也會盡量滿足我們臨時緊急的文件翻譯要求。熱情周到的服務(wù)給我們留下深刻印象!”

    黑龍江飛鶴乳業(yè)有限公司

  • “翻譯金融行業(yè)文件各式各樣版式復(fù)雜,試譯多家翻譯公司,后經(jīng)過比價、比服務(wù)、比質(zhì)量等流程下來,最終敲定了世聯(lián)翻譯。非常感謝你們提供的優(yōu)質(zhì)服務(wù)。”

    國金證券股份有限公司

  • “我司所需翻譯的資料專業(yè)性強,涉及面廣,翻譯難度大,貴司總能提供優(yōu)質(zhì)的服務(wù)。在一次業(yè)主單位對完工資料質(zhì)量的抽查中,我司因為俄文翻譯質(zhì)量過關(guān)而受到了好評!

    中辰匯通科技有限責(zé)任公司

  • “我司在2014年與貴公司建立合作關(guān)系,貴公司的翻譯服務(wù)質(zhì)量高、速度快、態(tài)度好,贏得了我司各部門的一致好評。貴司經(jīng)理工作認真踏實,特此致以誠摯的感謝!”

    新華聯(lián)國際置地(馬來西亞)有限公司

  • “我們需要的翻譯人員,不論是筆譯還是口譯,都需要具有很強的專業(yè)性,貴公司的德文翻譯稿件和現(xiàn)場的同聲傳譯都得到了我公司和合作伙伴的充分肯定!

    西馬遠東醫(yī)療投資管理有限公司

  • “在這5年中,世聯(lián)翻譯公司人員對工作的認真、負責(zé)、熱情、周到深深的打動了我。不僅譯件質(zhì)量好,交稿時間及時,還能在我司資金周轉(zhuǎn)緊張時給予體諒!

    華潤萬東醫(yī)療裝備股份有限公司

  • “我公司與世聯(lián)翻譯一直保持著長期合作關(guān)系,這家公司報價合理,質(zhì)量可靠,效率又高。他們翻譯的譯文發(fā)到國外公司,對方也很認可!

    北京世博達科技發(fā)展有限公司

  • “貴公司翻譯的譯文質(zhì)量很高,語言表達流暢、排版格式規(guī)范、專業(yè)術(shù)語翻譯到位、翻譯的速度非?臁⒑笃诜⻊(wù)熱情。我司翻譯了大量的專業(yè)文件,經(jīng)過長久合作,名副其實,值得信賴!

    北京塞特雷特科技有限公司

  • “針對我們農(nóng)業(yè)科研論文寫作要求,盡量尋找專業(yè)對口的專家為我提供翻譯服務(wù),最后又按照學(xué)術(shù)期刊的要求,提供潤色原稿和相關(guān)的證明文件。非常感謝世聯(lián)翻譯公司!”

    中國農(nóng)科院

  • “世聯(lián)的客服經(jīng)理態(tài)度熱情親切,對我們提出的要求都落實到位,回答我們的問題也非常有耐心。譯員十分專業(yè),工作盡職盡責(zé),獲得與其共事的公司總部同事們的一致高度認可!

    格萊姆公司

  • “我公司與馬來西亞政府有相關(guān)業(yè)務(wù)往來,急需翻譯項目報備材料。在經(jīng)過對各個翻譯公司的服務(wù)水平和質(zhì)量的權(quán)衡下,我們選擇了世聯(lián)翻譯公司。翻譯很成功,公司領(lǐng)導(dǎo)非常滿意。”

    北京韜盛科技發(fā)展有限公司

  • “客服經(jīng)理能一貫熱情負責(zé)的完成每一次翻譯工作的組織及溝通。為客戶與譯員之間搭起順暢的溝通橋梁。能協(xié)助我方建立專業(yè)詞庫,并向譯員準(zhǔn)確傳達落實,準(zhǔn)確及高效的完成統(tǒng)一風(fēng)格!

    HEURTEY PETROCHEM法國赫銻石化

  • “貴公司與我社對翻譯項目進行了幾次詳細的會談,期間公司負責(zé)人和廖小姐還親自來我社拜訪,對待工作熱情,專業(yè)度高,我們雙方達成了很好的共識。對貴公司的服務(wù)給予好評!”

    東華大學(xué)出版社

  • “非常感謝世聯(lián)翻譯!我們對此次緬甸語訪談翻譯項目非常滿意,世聯(lián)在充分了解我司項目的翻譯意圖情況下,即高效又保質(zhì)地完成了譯文!

    上海奧美廣告有限公司

  • “在合作過程中,世聯(lián)翻譯保質(zhì)、保量、及時的完成我們交給的翻譯工作?蛻艚(jīng)理工作積極,服務(wù)熱情、周到,能全面的了解客戶的需求,在此表示特別的感謝!

    北京中唐電工程咨詢有限公司

  • “我們通過圖書翻譯項目與你們相識乃至建立友誼,你們報價合理、服務(wù)細致、翻譯質(zhì)量可靠。請允許我們借此機會向你們表示衷心的感謝!”

    山東教育出版社

  • “很滿意世聯(lián)的翻譯質(zhì)量,交稿準(zhǔn)時,中英互譯都比較好,措辭和句式結(jié)構(gòu)都比較地道,譯文忠實于原文。TNC是一家國際環(huán)保組織,發(fā)給我們美國總部的同事后,他們反應(yīng)也不錯!

    TNC大自然保護協(xié)會

  • “原英國首相布萊爾來訪,需要非常專業(yè)的同聲傳譯服務(wù),因是第一次接觸,心中仍有著一定的猶豫,但是貴司專業(yè)的譯員與高水準(zhǔn)的服務(wù),給我們留下了非常深刻的印象。”

    北京師范大學(xué)壹基金公益研究院

  • “在與世聯(lián)翻譯合作期間,世聯(lián)秉承著“上善若水、厚德載物”的文化理念,以上乘的品質(zhì)和質(zhì)量,信守對客戶的承諾,出色地完成了我公司交予的翻譯工作!

    國科創(chuàng)新(北京)信息咨詢中心

  • “由于項目要求時間相當(dāng)緊湊,所以世聯(lián)在保證質(zhì)量的前提下,盡力按照時間完成任務(wù)。使我們在世博會俄羅斯館日活動中準(zhǔn)備充足,并受到一致好評!

    北京華國之窗咨詢有限公司

  • “貴公司針對客戶需要,挑選優(yōu)秀的譯員承接項目,翻譯過程客戶隨時查看中途稿,并且與客戶溝通術(shù)語方面的知識,能夠更準(zhǔn)確的了解到客戶的需求,確保稿件高質(zhì)量!

    日工建機(北京)國際進出口有限公司

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