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Harmonized world soil database v1.2 | FAO SOILS PORTAL | Food and Agriculture Organization of the United Nations

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HWSD 2.0 Available

Harmonized World Soil Database v 1.2This is the result of a collaboration between the FAO with IIASA, ISRIC-World Soil Information, Institute of Soil Science, Chinese Academy of Sciences (ISSCAS), and the Joint Research Centre of the European Commission (JRC)

The Harmonized World Soil Database is a 30 arc-second raster database with over 15 000 different soil mapping units that combines existing regional and national updates of soil information worldwide (SOTER, ESD, Soil Map of China, WISE) with the information contained within the 1:5 000 000 scale FAO-UNESCO Soil Map of the World (FAO, 1971-1981).

The resulting raster database consists of 21600 rows and 43200 columns, which are linked to harmonized soil property data. The use of a standardized structure allows for the linkage of the attribute data with the raster map to display or query the composition in terms of soil units and the characterization of selected soil parameters (organic Carbon, pH, water storage capacity, soil depth, cation exchange capacity of the soil and the clay fraction, total exchangeable nutrients, lime and gypsum contents, sodium exchange percentage, salinity, textural class and granulometry). Download : Download viewer & data (only soil types) | Download database (.mdb) | HWSD Raster | Technical Report and InstructionsA selection of the data is downloadable and available here :

Terrain

Terrain desc.

Land Cover

Land Cover desc.

Soil Quality

Soil Quality desc.

Global Terrain Slope and Aspect DataThe data include an elevation map describing median elevation in each grid cell, eight slope maps, and five aspect maps describing distributions (i.e. pixel counts) of the respective slope or aspect classes calculated for 3 arc-sec data and accumulated to 30 arc-sec and 5 min latitude/longitude grid cells respectively. A detailed description including technical details is provided in the documentation file.

The data is saved in RAR archives. More information about the RAR archive format, may be found elsewhere on the net. Grid cell size: 5 minutes: LAND MASK GloLand_5min.rar Number of 3 arc second grid cells that belong to the land mask and fall into 5 minutes grid cells ELEVATION GloElev_5min.rar Median elevation (meters) SLOPES (view median slope) Slope class GloSlopesCl1_5min.rar 0 % ≤ slope ≤ 0.5 % GloSlopesCl2_5min.rar 0.5 % ≤ slope ≤ 2 % GloSlopesCl3_5min.rar 2 % ≤ slope ≤ 5 % GloSlopesCl4_5min.rar 5 % ≤ slope ≤ 10 % GloSlopesCl5_5min.rar 10 % ≤ slope ≤ 15 % GloSlopesCl6_5min.rar 15 % ≤ slope ≤ 30 % GloSlopesCl7_5min.rar 30 % ≤ slope ≤ 45 % GloSlopesCl8_5min.rar Slope > 45 % ASPECT (view dominant aspect) Aspect class GloAspectClN_5min.rar North: 0˚< aspect ≤45˚ or 315˚< aspect ≤360˚ GloAspectClE_5min.rar East: 45˚ < aspect ≤ 135˚ GloAspectClS_5min.rar South: 135˚ < aspect ≤ 225˚ GloAspectClW_5min.rar West: 225˚ < aspect ≤ 315˚ GloAspectClU_5min.rar Undefined: Slope aspect undefined; this value is used for grids where slope gradient is undefined or slope gradient is less than 2%. Grid cell size: 30 arc-seconds: LAND MASK GloLand_30as.rar Number of 3 arc second grid cells that belong to the land mask and fall into 30 arcsecond grid cells ELEVATION GloElev_30as.rar Median elevation (meters) SLOPES Slope class GloSlopesCl1_30as.rar 0 % ≤ slope ≤ 0.5 % GloSlopesCl2_30as.rar 0.5 % ≤ slope ≤ 2 % GloSlopesCl3_30as.rar 2 % ≤ slope ≤ 5 % GloSlopesCl4_30as.rar % ≤ slope ≤ 10 % GloSlopesCl5_30as.rar 10 % ≤ slope ≤ 15 % GloSlopesCl6_30as.rar 15 % ≤ slope ≤ 30 % GloSlopesCl7_30as.rar 30 % ≤ slope ≤ 45 % GloSlopesCl8_30as.rar Slope > 45 % ASPECT Aspect class GloAspectClN_30as.rar North: 0˚< aspect ≤45˚ or 315˚< aspect ≤360˚ GloAspectClE_30as.rar East: 45˚ < aspect ≤ 135˚ GloAspectClS_30as.rar South: 135˚ < aspect ≤ 225˚ GloAspectClW_30as.rar West: 225˚ < aspect ≤ 315˚ GloAspectClU_30as.rar Undefined: Slope aspect undefined; this value is used for grids where slope gradient is undefined or slope gradient is less than 2%. Data Citation: Fischer, G., F. Nachtergaele, S. Prieler, H.T. van Velthuizen, L. Verelst, D. Wiberg, 2008. Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy.

Global Terrain Slope and Aspect DataData source

The NASA Shuttle Radar Topographic Mission (SRTM) has provided digital elevation data (DEMs) for over 80% of the globe. The SRTM data is publicly available as 3 arc second (approximately 90 meters resolution at the equator) DEMs (CGIAR-CSI, 2006).

For latitudes over 60 degrees north elevation data from GTOPO30 (USGS, 2002) with a resolution of 30 arc-seconds (depending on latitude this is approximately a 1 by 1 km cell size) were used.

References CGIAR-CSI (2006): NASA Shuttle Radar Topographic Mission (SRTM). The SRTM data is available as 3 arc second (approx. 90m resolution) DEMs. The dataset is available for download at: http://srtm.csi.cgiar.org/

USGS (2002): GTOPO30 – Global 30 arc second elevation data. U.S. Geological Survey, National Mapping Division, EROS Data Center; for download available at: https://lta.cr.usgs.gov/GTOPO30

Processing Steps

Under an agreement with the National Aeronautics and Space Administration (NASA) and the Department of Defense's National Geospatial Intelligence Agency (NGA), the U.S. Geological Survey (USGS) is now distributing elevation data from the Shuttle Radar Topography Mission (SRTM). The SRTM is a joint project between NASA and NGA to map the Earth’s land surface in three dimensions at a level of detail unprecedented for such a large area. Flown aboard the NASA Space Shuttle Endeavour February 11-22, 2000, the SRTM successfully collected data from over 80 percent of the Earth’s land surface, for most of the area between 60º N. and 56º S. latitude.

The data currently being distributed by NASA/USGS (finished product) contains “no-data” holes where water or heavy shadow prevented the quantification of elevation. These are generally small holes, which nevertheless render the data less useful, especially in fields of hydrological modelling. Dr. Andrew Jarvis of the CIAT Land Use project, in collaboration with Dr. Robert Hijmans and Dr. Andy Nelson, have further processed the original DEMs to fill in these no-data voids. This involved the production of vector contours, and the re-interpolation of these derived contours back into a raster DEM. These interpolated DEM values were then used to fill in the original no-data holes within the SRTM data.

The DEM files have been mosaiced into a seamless global coverage, and are available for download as 5˚ x 5˚ tiles, in geographic coordinate system - WGS84 datum. The available data cover a raster of 24 rows by 72 columns of 5˚ x 5˚ latitude/longitude tiles, from north 60 degree latitude to 56 degree south.

These processed SRTM data, with a resolution of 3 arc second (approximately 90m at the equator), i.e. 6000 rows by 6000 columns for each 5˚ x 5˚ tile, have been used for calculating: (i) terrain slope gradients for each 3 arc-sec grid cell; (ii) aspect of terrain slopes for each 3 arc-sec grid cell; (iii) terrain slope class by 3 arc-sec grid cell; and (iv) aspect class of terrain slope by 3 arc-sec grid cell. Products (iii) and (iv) were then aggregated to provide distributions of slope gradient and slope aspect classes by 30 arc-sec grid cell and for a 5’x5’ latitude/longitude grid used in global AEZ.

The computer algorithm used to calculate slope gradient and slope aspect operates on sub-grids of 3 by 3 grid cells, say grid cells A to I:

A B C D E F G H I

SRTM data are stored in 5˚x5˚ tiles*. When E falls on a border row or column (i.e., rows or columns 1 or 6000 of a tile) the required values falling outside the current tile are filled in from the neighboring tiles.

To calculate terrain slope for grid cell E, the algorithm proceeds as follows:

1.) If the altitude value at E is ‘no data’ then both slope gradient and slope aspect are set to ‘no data’.

2.) Replace any ‘no data’ values in A to D and F to I by the altitude value at E.

Let Px, Py and Pz denote respectively coordinates of grid point P in x direction (i.e. longitude in our case), y direction (i.e. latitude in our application), and z in vertical direction (i.e., altitude), then calculate partial derivatives (dz/dx) and (dz/dy) from:

(dz/dx) = - ((Az-Cz) + 2∙ (Dz-Fz) + (Gz-Iz)) / (8∙size_x) (dz/dy) = ((Az-Gz) + 2∙ (Bz-Hz) + (Cz-Iz)) / (8∙size_y)

When working with a grid in latitude and longitude, then size_y is constant for all grid cells. However, size_x depends on latitude and is calculated separately for each row of a tile.

The slope gradient (in degrees) at E is

slgE = arctan

and in percent is given by

slpE = 100

The slope aspect, i.e. the orientation of the slope gradient, starting from north (0 degrees) and going clock-wise, is calculated using the variables from above, as follows:

aspE = arctan

The above expression can be evaluated for (dz/dy) ≠ 0. Otherwise aspE = 45˚ (for (dz/dx) < 0) or aspE = 270˚ (for (dz/dx) > 0)

3.) To produce distributions of slope gradients and aspects for grids at 30 arc-sec or 5 min latitude/longitude, slope gradients are groups into 9 classes:

C1: 0 % ≤ slope ≤ 0.5 % C2: 0.5 % ≤ slope ≤ 2 % C3: 2 % ≤ slope ≤ 5 % C4: 5 % ≤ slope ≤ 10 % C5: 10 % ≤ slope ≤ 15 % C6: 15 % ≤ slope ≤ 30 % C7: 30 % ≤ slope ≤ 45 % C8: Slope > 45 % C9: Slope gradient undefined (i.e., outside land mask)

Slope aspects are classified in 5 classes:

N: 0˚ < aspect ≤ 45˚ or 315˚ < aspect ≤ 360˚ E: 45˚ < aspect ≤ 135˚ S: 135˚ < aspect ≤ 225˚ W: 225˚ < aspect ≤ 315˚ U: Slope aspect undefined; this value is used for grids where slope gradient is undefined or slope gradient is less than 2 %.

Detailed data description

Data Format:

The data are provided as ASCII files in a grid format. They consist of header information containing a set of keywords, followed by cell values in row-major order. The file format is

NCOLS xxx NROWS xxx XLLCENTER xxx | xllcorner xxx> YLLCENTER xxx | yllcorner xxx> CELLSIZE xxx NODATA_VALUE xxx row 1 row 2 . row n

where xxx is a number. Row 1 of the data is at the top of the grid, row 2 is just under row 1 and so on. The end of each row of data from the grid is terminated with a carriage return in the file. The grid is defined in the header information with the following keywords:

NCOLS: number of columns NROWS: number of rows XLLCENTER: x-coordinate of lower left centre YLLCENTER: y-coordinate of lower left centre CELLSIZE: grid cell size NODATA_VALUE: The value assigned to nodata information

Geographical details

Spatial coverage: Global

Grid cell size: 5 minutes and 30 arc seconds

Projection: Geographic coordinate system (Longitude, latitude) Units: Decimal degrees Datum: WGS84

Data content

The data comprise one elevation map describing median elevation in each grid cell, eight slope and four aspect maps describing percentage distributions of the respective slope or aspect classes. The sum of all classes for slopes and aspects respectively is 100 percentages.

Units: Elevation data: meters Slope and aspect classes: percentage * 1000 Land mask:

In addition a land mask has been provided. The land mask shows the number of 3 arc second grid cells in the SRTM data that fall into a 5 minutes or 30 arc second grid cell. Along coastlines 5 minutes or 30 arcsecond grid cells usually only contain a fraction of the higher resolution 3 arc second grid cells, which were used for the slope and aspect calculations. In the 5 minutes and 30 arc second grids the slopes and aspect distributions always sum up to 100 percent. Thus if the real percentage distribution of a particular 5 minutes or 30 arc second is required it can be calculated using the land mask.

Table 1. Description of file names of the IIASA-LUC Global Terrain Slopes and Aspect Database. FILE NAMES Description grid cell size: 5x5 minutes grid cell size: 30 arc seconds LAND MASK GloLand_5min GloLand_30as Number of 3 arc second grid cells that belong to the land mask and fall into respective 5 minutes or 30 arc second grid cells ELEVATION GloElev_5min GloElev_30as Median elevation (meters) SLOPES Slope class GloSlopesCl1_5min GloSlopesCl1_30as 0 % ≤ slope ≤ 0.5 % GloSlopesCl2_5min GloSlopesCl2_30as 0.5 % ≤ slope ≤ 2 % GloSlopesCl3_5min GloSlopesCl3_30as 2 % ≤ slope ≤ 5 % GloSlopesCl4_5min GloSlopesCl4_30as 5 % ≤ slope ≤ 10 % GloSlopesCl5_5min GloSlopesCl5_30as 10 % ≤ slope ≤ 15 % GloSlopesCl6_5min GloSlopesCl6_30as 15 % ≤ slope ≤ 30 % GloSlopesCl7_5min GloSlopesCl7_30as 30 % ≤ slope ≤ 45 % GloSlopesCl8_5min GloSlopesCl8_30as Slope > 45 % ASPECT Aspect class GloAspectClN_5min GloAspectClN_30as North: 0˚< aspect ≤45˚ or 315˚< aspect ≤360˚ GloAspectClE_5min GloAspectClE_30as East: 45˚ < aspect ≤ 135˚ GloAspectClS_5min GloAspectClS_30as South: 135˚ < aspect ≤ 225˚ GloAspectClW_5min GloAspectClW_30as West: 225˚ < aspect ≤ 315˚ GloAspectClU_5min GloAspectClU_30as Undefined: Slope aspect undefined; this value is used for grids where slope gradient is undefined or slope gradient is less than 2%. *For the globe the computer program processes 36 million sub-grids, in total 32.4 billion sub-grids are considered.

Data Citation IIASA/FAO, 2010. Global Agro-ecological Zones (GAEZ v3.0). IIASA, Laxenburg, Austria and FAO, Rome, Italy.

Land Use and Land CoverThe data is presented as a percentage share of the total grid-cell extent for a 5' latitude by 5' longitude grid-cell.

Note that the data files are in ascii format. The best way to save them to your computer is to click on the link with the right mouse button and select "Save Link As..." or "Save Target As...". More information on the data format is on the data format page. DATA FILES DESCRIPTION MAP CULTRF_2000 rain-fed cultivated land view CULTIR_2000 irrigated cultivated land, according to GMIA 4.0 view CULT_2000 total cultivated land view FOR_2000 forest land, calibrated to FRA2000 land statistics view GRS_2000 grass/scrub/woodland view URB_2000 built-up land (residential and infrastructure) view NVG_2000 barren/very sparsely vegetated land view WAT_2000 mapped water bodies Data Citation: Fischer, G., F. Nachtergaele, S. Prieler, H.T. van Velthuizen, L. Verelst, D. Wiberg, 2008. Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy.

Land Use and Land CoverView map of dominant land cover pattern

Six geographic datasets were used for the compilation of an inventory of seven major land cover/land use categories at 5’ resolution. The datasets used are:GLC2000 land cover database at 30 arc-sec (https://ec.europa.eu/jrc/en/scientific-tool/global-land-cover), using regional and global legends;an IFPRI global land cover categorization providing 17 land cover classes at 30 arc-sec. (IFPRI, 2002), based on a reinterpretation of the Global Land Cover Characteristics Database (GLCC ver. 2.0), EROS Data Centre (EDC, 2000);FAO’s Global Forest Resources Assessment 2000 (FAO, 2001) at 30 arc-sec. resolution; digital Global Map of Irrigated Areas (GMIA) version 4.0 of (FAO/University of Frankfurt) at 5’ by 5’ latitude/longitude resolution, providing by grid-cell the percentage land area equipped with irrigation infrastructure; IUCN-WCMC protected areas inventory at 30-arc-seconds (http://www.unep-wcmc.org/wdpa/index.htm), anda spatial population density inventory (30-arc seconds) for year 2000 developed by FAO-SDRN, based on spatial data of LANDSCAN 2003, with calibration to UN 2000 population figures.An iterative calculation procedure has been implemented to estimate land cover class weights, consistent with aggregate FAO land statistics and spatial land cover patterns obtained from (the above mentioned) remotely sensed data, allowing the quantification of major land use/land cover shares in individual 5’ by 5’ latitude/longitude grid cells. The estimated class weights define for each land cover class the presence of respectively cultivated land and forest. Starting values of class weights used in the iterative procedure were obtained by cross-country regression of statistical data of cultivated and forest land against land cover class distributions obtained from GIS, aggregated to national level. The percentage of urban/built-up land in a grid-cell was estimated based on presence of respective land cover classes as well as regression equations relating built-up land with number of people and population density. Remaining areas were allocated to:grassland and other vegetated areas (excluding cultivated land and forest);barren or very sparsely vegetated areas, and water bodiesaccording to indicated land cover classes. Barren or very sparsely vegetated areas (class (ii) above) were delineated from (i) using the respective land cover information in GLC 2000 and a minimum bio-productivity threshold. The resulting seven land use land cover categories shares are:Rain-fed cultivated land;Irrigated cultivated land; Forest; Pastures and other vegetated land; Barren and very sparsely vegetated land;Water; and Urban land and land required for housing and infrastructure.Data Citation: Fischer, G., F. Nachtergaele, S. Prieler, H.T. van Velthuizen, L. Verelst, D. Wiberg, 2008. Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy.

Soil Qualities for Crop Production Note that the data files are in ascii format. The best way to save them to your computer is to click on the link with the right mouse button and select "Save Link As..." or "Save Target As...". More information on the data format is on the data format page. DATA FILES DESCRIPTION MAPS sq1.asc Nutrient availability view sq2.asc Nutrient retention capacity view sq3.asc Rooting conditions view sq4.asc Oxygen availability to roots view sq5.asc Excess salts. view sq6.asc Toxicity view sq7.asc Workability (constraining field management) view Note that the classes used in the Soil Quality evaluation are:

1: No or slight limitations

2: Moderate limitations

3: Sever limitations

4: Very severe limitations

5: Mainly non-soil

6: Permafrost area

7: Water bodies

Remember that classes are qualitative not quantitative. Only classes 1 to 4 are corresponding to an assessment of soil limitations for plant growth. Class 1 is generally rated between 80 and 100% of the growth potential, class 2 between 60 and 80%, class 3 between 40 and 60%, and class 4 less than 40%.

For further information please consult the following link

Data Citation: Fischer, G., F. Nachtergaele, S. Prieler, H.T. van Velthuizen, L. Verelst, D. Wiberg, 2008. Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy.

Soil Qualities for Crop Production On the basis of soil parameters provided by HWSD seven key soil qualities important for crop production have been derived, namely: nutrient availability, nutrient retention capacity, rooting conditions, oxygen availability to roots, excess salts, toxicities, and workability. Soil qualities are related to the agricultural use of the soil and more specifically to specific crop requirements and tolerances. For the illustration of soil qualities, maize was selected as reference crop because of its global importance and wide geographical distribution.

Soil qualities and related soil characteristics Soil Qualities Soil Characteristics SQ1 Nutrient availability Soil texture, soil organic carbon, soil pH, total exchangeable bases SQ2 Nutrient retention capacity Soil Organic carbon, Soil texture, base saturation, cation exchange capacity of soil and of clay fraction SQ3 Rooting conditions Soil textures, bulk density, coarse fragments, vertic soil properties and soil phases affecting root penetration and soil depth and soil volume SQ4 Oxygen availability to roots Soil drainage and soil phases affecting soil drainage SQ5 Excess salts. Soil salinity, soil sodicity and soil phases influencing salt conditions SQ6 Toxicity Calcium carbonate and gypsum SQ7 Workability (constraining field management) Soil texture, effective soil depth/volume, and soil phases constraining soil management (soil depth, rock outcrop, stoniness, gravel/concretions and hardpans) Soil qualities have been estimated for the sequence 1 soils in each grid cell with as reference crop maize. The derived maps for the individual soil qualities represent therefore the qualities of ‘main soils’ only.

Details of estimation procedures for the individual soil qualities from soil characteristics in HWSD are:

Nutrient availability (SQ1)

This soil quality is decisive for successful low level input farming and to some extent also for intermediate input levels. Diagnostics related to nutrient availability are manifold. Important soil characteristics of the topsoil (0-30 cm) are: Texture/Structure, Organic Carbon (OC), pH and Total Exchangeable Bases (TEB). For the subsoil (30-100 cm), the most important characteristics considered are: Texture/Structure, pH and TEB.

The soil characteristics relevant to soil nutrient availability are to some extent correlated. For this reason, the most limiting soil characteristic is combined in the evaluation with the average of the remaining less limiting soil characteristics to represent soil quality SQ1.

Nutrient retention capacity (SQ2)

Nutrient retention capacity is of particular importance for the effectiveness of fertilizer applications and is therefore of special relevance for intermediate and high input level cropping conditions. Nutrient retention capacity refers to the capacity of the soil to retain added nutrients against losses caused by leaching. Plant nutrients are held in the soil on the exchange sites provided by the clay fraction, organic matter and the clay-humus complex. Losses vary with the intensity of leaching which is determined by the rate of drainage of soil moisture through the soil profile. Soil texture affects nutrient retention capacity in two ways, through its effects on available exchange sites on the clay minerals and by soil permeability. The soil characteristics used for topsoil are respectively: Organic Carbon (OC), Soil Texture (Text), Base Saturation (BS), Cation Exchange Capacity of soil (CECsoil), pH, and Cation Exchange Capacity of clay fraction (CECclay). Soil pH serves as indicator for aluminum toxicity and for micro-nutrient deficiencies. The most limitingof these soil characteristic is combined with the average of the remaining less limiting soil characteristics to estimate nutrient retention capacity SQ2.

Rooting conditions (SQ3)

Rooting conditions include effective soil depth (cm) and effective soil volume (vol. %) related to presence of gravel and stoniness. Rooting conditions may be affected by the presence of a soil phase either limiting the effective rooting depth or decreasing the effective volume accessible for root penetration. Rooting conditions address various relations between soil conditions of the rooting zone and crop growth. The following factors are considered in the evaluation:Adequacy of foothold, i.e., sufficient soil depth for the crop for anchoring;available soil volume and penetrability of the soil for roots to extract nutrients; space for root and tuber crops for expansion and economic yield in the soil; andabsence of shrinking and swelling properties (vertic) affecting root and tuber crops.Soil depth/volume limitations affect root penetration and may constrain yield formation (roots and tubers). Relevant soil properties considered are: soil depth, soil texture/structure, vertic properties, gelic properties, petric properties and presence of coarse fragments. This soil quality is estimated by multiplying of the soil depth limitation with the most limiting soil or soil phase property

Soil phases that relevant for rooting conditions vary somewhat with source of soil map and soil classification used. In the HWSD these are:FAO 74 soil phases: stony, lithic, petric, petrocalcic, petrogypsic, petroferric, fragipan and duripan.FAO 90 soil phases: rudic, lithic, pertroferric, placic, skeletic, fragipan and duripan.ESB soil phases and other soil depth/volume related characteristics: stony, lithic, petrocalcic, petroferric, fragipan and duripan, and presence of gravel or concretions, obstacles to roots (6 classes), and impermeable layers (4 classes).Oxygen availability (SQ4)

Oxygen availability in soils is largely defined by drainage characteristics of soils. The determination of soil drainage classes is based on procedures developed at FAO (FAO 1995). These procedures take into account soil type, soil texture, soil phases and terrain slope.

Apart from drainage characteristics, the soil quality of oxygen availability may be influenced by soil and terrain characteristics that are defined through the occurrence of specific soil phases. These include for the FAO ‘74 classification soil phases indicating phreatic conditions, and for the FAO ’90 classification soil phases indicating respectively phreatic, anthraquic, inundic, or placic conditions.

Excess salts (SQ5)

Accumulation of salts may cause salinity. Excess of free salts referred to as soil salinity is measured as Electric Conductivity (EC in dS/m) or as saturation of the exchange complex with sodium ions, which is referred to as sodicity or sodium alkalinity and is measured as Exchangeable Sodium Percentage (ESP).

Salinity affects crops through inhibiting the uptake of water. Moderate salinity affects growth and reduces yields; high salinity levels may kill the crop. Sodicity causes sodium toxicity and affects soil structure leading to massive or coarse columnar structure with low permeability. Apart from soil salinity and sodicity, conditions indicated by saline (salic) and sodic soil phases may affect crop growth and yields.

In case of simultaneous occurrence of saline (salic) and sodic soils the limitations are combined. The most limiting of the combined soil salinity and/or sodicity conditions and occurrence of saline (salic) and/or sodic soil phase is selected.

3.2.6 Toxicities (SQ.6)

Low pH leads to acidity related toxicities, e.g., aluminum, iron, manganese toxicities, and to various deficiencies, e.g., of phosphorus and molybdenum. Calcareous soils exhibit generally micronutrient deficiencies, for instance of iron, manganese, and zinc and in some cases toxicity of molybdenum. Gypsum strongly limits available soil moisture. Tolerance of crops to calcium carbonate and gypsum varies widely (FAO, 1990; Sys, 1993).

Low pH and high calcium carbonate and gypsum are mutually exclusive. Acidity related toxicities such as aluminum toxicities and micro-nutrient deficiencies are accounted for respectively in SQ1, nutrient availability, and in SQ2, nutrient retention capacity. This soil quality SQ6 is therefore only including calcium carbonate and gypsum related toxicities. The most limiting of the combination of excess calcium carbonate and gypsum in the soil, and occurrence of petrocalcic and petrogypsic soil phases is selected for the quantification of SQ6.

Workability (SQ7)

Diagnostic characteristics to indicate soil workability vary by type of management applied. Workability or ease of tillage depends on interrelated soil characteristics such as texture, structure, organic matter content, soil consistence/bulk density, the occurrence of gravel or stones in the profile or at the soil surface, and the presence of continuous hard rock at shallow depth as well as rock outcrops. Some soils are easy to work independent of moisture conditions, other soils are only manageable at an adequate moisture status, in particular for manual cultivation or light machinery. Irregular soil depth, gravel and stones in the profile and rock outcrops, might prevent the use of heavy farm machinery. The soil constraints related to soil texture and soil structure are particularly affecting low and intermediate input farming LUTs, while the constraints related to irregular soil depth and stony and rocky soil conditions are foremost affecting mechanized land preparation and harvesting operations, of high-level input mechanized farming LUTs. Workability constraints are therefore handled differently for low/intermediate and high inputs.

The workability soil quality SQ7 includes physical hindrance to cultivation, and limitations to cultivation imposed by texture/clay mineralogy. The soil quality SQ7 is derived by combining the most limiting soil/soil phase attribute with the average of the remaining attribute coditions. Soil phases considered in the quantification of SQ7 are stony, lithic, petric, petrocalcic, petroferric, fragipan and duripan (FAO ‘74), and lithic, petroferric, rudic, skeletic, duripan and fragipan (FAO’90).

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航空运单上的AWC、AWA、MYC、SCC等是什么费用？ - 知乎

航空运单上的AWC、AWA、MYC、SCC等是什么费用？ - 知乎切换模式写文章登录/注册航空运单上的AWC、AWA、MYC、SCC等是什么费用？巨鲨鱼Erin国际航空运单上的AWC、AWA、MYC、SCC等是什么费用？（1）AWC制单费AW是Airway Bill的首字母简称，意为货运单或航空运单；第三个字母C表示Carrier，Carrier是承运人的意思，AWC意味着这是承运人（即航空公司）收取的货运单或航空运单工本费，AWC俗称制单费，一般是50元/单，也有个别航空公司收取70元/单，这个费用每一票货物都会有。（2）AWA制单费AW是Airway Bill的首字母简称，意为货运单或航空运单；第三个字母A表示Agent，Agent是货运代理人的意思，AWA意味着这是货运代理人（即空运货代）收取的货运单或航空运单工本费。这个也叫制单费，在货代出航空分运单HAWB时一般都会有。（3）MYC燃油附加费MY是指Fuel Surcharge——航空燃油附加费，俗称“燃油。至于为什么叫MY，MY是怎么来的，笔者也搞不清楚，求高人指点。第三个字母C表示Carrier，Carrier是承运人的意思，MYC意味着这是承运人（即航空公司）收取的燃油附加费。（4）SCC安全附加费SC是Security Charge的首字母简称，意为安全附加费，俗称“战险”；第三个字母C表示Carrier，Carrier是承运人的意思，SCC意味着这是承运人（即航空公司）收取的安全附加费。“燃油”（MY）和“战险”（SC）是航空货物运输最常见的费用，空运报价中就分为两类：一类叫all in价，一类叫++价。所谓all in价，就是所报的运费已经包含了“燃油”和“战险”；所谓++价，就是所报的运费不包含“燃油”和“战险”，即运费+“燃油”+“燃油”和“战险”。在实际中，燃油附加费和战争附加费常常合称“燃油战险”比如北京PEK到纽约JFK：20 all in——意思是北京首都机场到纽约肯尼迪机场的空运费是20元/千克（含“燃油”和“战险”）；如果是20++（“燃油”9，“战险”1），意思就是空运费20元/千克，加上“燃油”9元/千克，再加上“战险”1元/千克，费用一共是20+9+1=30元/千克。其实，上面这些费用在航空运单Airway Bill中都属于“其他费用Other Charges”，此栏目显示除运费之外的所有其他费用，显示形式为三个字母组成的代码——前两个字母是费用代码，第三个字母要么是“C”要么是“A”，用以区分费用归属——“C”表示归属承运人Carrier，“A”表示归属于货运代理Agent。其实，运单上显示的是“公布价”（TACT 价格），实际价格属于商业秘密，不会公开，不会显示在运单上。也就是说，客户（发货人/货主）拿到运单，并不是按照运单显示的费用支付给货代或航空公司，而是按照询价时的报价来支付——也就是对“公布价”进行打折后的“折扣价”。更多的国际物流如何找客户以下答案可以查看。除了上面所说的几个，会在“其他费用Other Charges”栏显示的常见费用还有：费用代码英文名称中文名称ACAnimal Container动物容器租费ASAssembly Service Fee集中货物服务费ATAttendant押运员服务费BRBank Release银行放行DBDisbursement Fee代垫付款手续费DFDistribution Service分发服务费FCCharges Collect Fee运费到付手续费GTGovernment Tax政府捐税HRHuman Remains尸体、骨灰附加费INInsurance Premium代办保险服务费LALive Animals动物处理费MAMiscellaneous Due Agent代理人Agent收取的杂项费用MZMiscellaneous Due Carrier承运人Carrier收取的杂项费用PKPackaging包装服务费RADangerous Goods Surcharge危险品处理费SDSurface Charge Destination目的站地面运输费SIStop in Transit中途停运费SOStorage origin始发站保管费SRStorage Destination目的站保管费SUSurface Charge地面运输费TRTransit过境费TXTaxes捐税UHULD Handling集装设备操作费编辑于 2023-05-19 16:56・IP 属地福建国际空运货代赞同 4添加评论分享喜欢收藏申请

深圳国际新能源及智能网联汽车全产业博览会

2024年11月6日-8日

深圳国际会展中心（宝安新馆）

Language语言-CN中文

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展馆平面图

展示内容

新能源汽车三电

飞行汽车展区

汽车工程与装配技术

智能工厂与自动化

汽车新材料

新能源汽车仿真模拟及测试测量

论坛会议

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往届会议 2022

自动驾驶论坛回放

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Hello China Hello World

了解详情

激发灵感与创新推动汽车产业升级发展

2024年11月6日-8日

深圳国际会展中心（宝安新馆）

展位预定

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报名参会

查看详情

上一步

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thanks

关于AUTOMOTIVE WORLD CHINA

深圳国际新能源及智能网联汽车全产业博览会

2024年11月6日-8日

深圳国际会展中心（宝安新馆）

深圳国际新能源及智能网联汽车全产业博览会 Automotive World China（简称“AWC”）是专注于先进的新能源和智能汽车技术的全球领先行业交流及业务平台。博览会汇集来自50多个国家、覆盖全产业链的技术供应商和汽车制造商，建立合作伙伴关系，寻求新的灵感，创造机遇实现业务发展。

AUTOMOTIVE WORLD CHINA 旗下主题品牌展

参展申请

报名参观

报名参会

50,000 平方米

展览面积

1,000+

展商数量

38,000 人

观众数量

1,500人

海外观众

160,000 平方米

同期展会面积

3,500+

同期参展商

150,000+

同期专业买家

50+

同期活动

展示范围

汽车电子元器件

芯片、导线、陶瓷电容、插接器、继电器、安规电容、电路板、二级晶道管、三级晶道管、易熔线、断路器、熔断器、电阻器、电容器、线圈等

新能源汽车核心零部件及电子电器技术

驾驶系统、底盘、车身，视听影音，通讯导航，仪表、照明系统、安全系统等

汽车新材料

高强度钢，超细晶粒钢，铝合金材料，镁合金材料，碳纤维，再生塑料，树脂，聚碳酸酯，天然木质，石墨烯增强型碳纤碳，纳米材料，超导材料，无声合金，不碎玻璃，碳陶复合材料等

新能源汽车及电池技术

锂电池，动力电池，电机、电控、电池用材料，外壳，电芯、模组，电池包/电池系统，极片制备设备（搅拌，涂布，冷压），电芯组装设备（卷绕/叠片，装配），化成检测设备

软件定义汽车

测试仿真软件、基础软件、数据分析软件、网联软件、信息娱乐软件、安全软件、云平台等

智能汽车及车联网

自动驾驶、先进传感器、控制器、执行器，运用信息通信、互联网、大数据、云计算、人工智能等新技术

汽车工程及装配技术

部件制造工程、内外饰设计及制造、底盘设计及制造、汽车模具设计及制造、系能源动力总成、冲压工程、焊装及链接工程、激光工程、涂装工程、总装工程、未来汽车开发、智能产线物流、供料及输送技术+传输及搬放技术、装配及连接技术、传动技术+监控及测试技术+数据采集及智能传感、过程控制技术+软件及服务、AI+机器视觉+工业机器人智造工程、质量控制及测试工程、装配系统集成、粘接工程

观众范围

• 汽车制造商

• 一级供应商

• 汽车整车厂

• 汽车电子制造商

• 汽车设计企业

• 汽车部件制造商

• 系统集成商

• 汽车电池制造商

• 汽车研究院

• 政府主管部门

• 行业协会

• 媒体

活动照片

展会资讯

展会新闻

AWC 2023 感谢信

AWC 2023 展会今日圆满落幕！明年深圳再会！

AWC 2023 10月11日在深盛大开幕全球汽车人汇聚一堂定义汽车制造未来

AWC 2023深圳国际新能源及智能网联汽车全产业博览会将于10月11日盛大开幕

行业新闻

800V高压快充电池系统关键技术：（一）整车电压提升安全升级

行业洞察 | AWC出席中国（深圳）国际汽车电子产业峰会

两会代表建言献策助力智能网联汽车高质量发展

AWC行业资讯 | 宝马已与宁德时代、亿纬锂能等签订超百亿欧元电芯合同；1-2月份新能源汽车产量97万辆增长16.3%

展商新闻

摆脱陆地束缚，创造未来出行新可能。小鹏汇天为您打开未来出行新想象！

起猛了！这些黑科技在AWC 2023现场都能看到？

AWC展商推介 | 智能汽车材料供应商——仕来高电子制品亚洲有限公司

AWC展商｜智能汽车零部件供应商——诠欣股份有限公司

AWC买家采配需求 | 急单！湖北驰田汽车股份有限公司采购需求

同期展会

参展联系

参观联系

潘女士（Jennie Pan）

电话：+86-755-2383 4565

邮箱：[email protected]

媒体联系

叶女士（Caroline Ye ）

电话：+86 - 755 - 2383 - 4568

邮箱：[email protected]

欢迎来到AWC深圳国际新能源及智能网联汽车全产业博览会。现在，做你自己并尽情享受。

欢迎来到励展博览集团的AWC深圳国际新能源及智能网联汽车全产业博览会，每个人都属于这里。在我们所有的活动中都培养了包容的文化，每个人的独特之处都会得到赞美。我们的参展商、观众、合作伙伴和所有同事都来自不同的背景，这使得我们的展会更强大，也让我们的集体经验更加丰富。现在，做你自己，享受每场活动。

2024年11月6日-8日

深圳国际会展中心（宝安新馆）

半导体设备Robot 中的awc怎样的工作原理？ - 知乎

半导体设备Robot 中的awc怎样的工作原理？ - 知乎首页知乎知学堂发现等你来答切换模式登录/注册设备半导体设备Robot 中的awc怎样的工作原理？半导体设备Robot 中的awc怎样的工作原理，有没有大神给详细介绍一下显示全部关注者9被浏览19,269关注问题写回答邀请回答好问题 2添加评论分享3 个回答默认排序诗酒趁年华关注AWC Sensor有两个，装在门的底部，两个sensor上当各有一个反光镜，当Wafer被送去Chamber时sensor的光线被遮挡，因为water是圆的，如果两个senser被遮挡的时间一样，那么wafer在arm的中心位置，位置很好，放到chamber里的位置也就好。如果左边sensor被遮挡的时间更长，那么wafer在arm上位置偏左，那么reboot会向右进行一个补偿offset，确保wafer在chamber里的位置是好的。就酱。如果AWC OFFSET的Trend hurting很大，那么就要进行Teaching了发布于 2022-05-27 18:26赞同 89 条评论分享收藏喜欢收起啊哟关注WAFER经过sensor时的遮光透光信号，计算圆心。robot运行时的速度，触发时间已知。void function(double x1, double y1, double x2, double y2, double x3, double y3){ double a = x1 - x2; double b = y1 - y2; double c = x1 - x3; double d = y1 - y3; double e = ((x1*x1-x2*x2)-(y2*y2-y1*y1))/2; double f = ((x1*x1-x3*x3)-(y3*y3-y1*y1))/2 // 实际圆心位置 x = (e*d - b*f)/(a*d - b*c); y = (a*f - e*c)/(a*d - b*c);}发布于 2023-06-11 21:25赞同 11 条评论分享收藏喜欢收起

Automotive World China

November 6-8, 2024

Shenzhen World Exhibition & Convention Center

Language语言-EN英文

Language语言-CN中文

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EXHIBIT

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AUTOMOTIVE WORLD CHINA

Inspiration Meets Innovation for Automotive Industry

November 6-8, 2024

Shenzhen World Exhibition & Convention Center

Book a stand

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ABOUT AUTOMOTIVE WORLD CHINA

November 6-8, 2024

Shenzhen World Exhibition & Convention Center

As the world’s leading platform focused on Advanced New Energy and Intelligent Vehicle Tech- nologies, Automotive World China (AWC) brings together technology suppliers and automotive manufacturers along the entire value chain from more than 50 countries to forge partnership, seek new inspirations and build businesses.

AUTOMOTIVE WORLD CHINA SHOW BRANDS

BOOK A STAND

Scale of AWC 2024

50,000 Sqm

Show Area

1,000+

Exhibitors

38,000

Visitors

1,500+

International Visitors

160,000 Sqm

Total Exhibition Area of 4 Co-Located Events

3,500+

Total Exhibitors of 4 Co-Located Events

150,000+

Total Visitors of 4 Co-Located Events

50+

Conferences

Six Unique Advantages

365-day engagement with automotive industry –10 satellite events within China prior to the event to engage automotive manufacturers.

Global roadshows to network and conduct business with overseas buyers - 4 stops in Japan, Korea, Thailand and Vietnam

A truly international automotive event focused on New Energy and Intelligent Vehicles Solutions that enable exhibitors to meet more than 1,500 international trade visitors.

Meet with 1,000 conference delegates at concurrent Automotive Summit.

Sino-European-American Automotive Industry Exchange Forum.

1,000 match-making sessions within the show days

Exhibits Profile

View All

Check Exhibitor List

Automotive Electronic Components

Chips, wires, ceramic capacitors, connectors, relays, safety capacitors, circuit boards, secondary and tertiary thyristors, fusible links, circuit breakers, fuses, resistors, capacitors, coils, etc

Automotive New Materials

High strength steel, ultra-fine grain steel, aluminum alloy material, magnesium alloy material, carbon fiber, recycled plastic, resin, polycarbonate, natural wood, graphene reinforced carbon fiber, nanomaterials, superconducting materials, silent alloys, unbreakable glass, carbon ceramic composite materials, etc

New Energy Vehicle Core Components, Electronic & Electrical Technology

Chips, wires, ceramic capacitors, connectors, relays, safety capacitors, circuit boards, secondary & tertiary thyristors, fusible links, circuit breakers, fuses, resistors, capacitors, coils, etc

New Energy Vehicle & Battery Technology

Lithium battery, power battery, motor, motor control, battery materials, battery case, cell, module,

battery pack/battery system, electrode preparation equipment (stirring, coating, cold pressing), cell

assembly equipment (winding/laminating, assembly), & formation testing equipment

Automotive Engineering & Assembly Technology

Component manufacturing engineering, interior & exterior design & manufacturing, chassis design &

manufacturing, automotive mold design & manufacturing, powertrain systems, stamping engineering,

welding & linkage engineering, laser engineering, coating engineering, final assembly engineering,

future automotive development, intelligent production line logistics, supply & transportation technology+transmission & handling technology, assembly & connection technology, transmission technology+-monitoring & testing technology+data acquisition &

intelligent sensing Process control technology+software & services, AI+machine vision+industrial robot smart manufacturing engineering, quality control & testing engineering, assembly system integration, bonding engineering

Software Defined Vehicles

Testing simulation software, basic software, data analysis software, internet connection software, information & entertainment soft- ware, security software, cloud platform, etc

Intelligent Vehicles & Internet of Vehicles

Autonomous driving, advanced sensors, controllers, actuators, information communi- cation, internet, big data, cloud computing, AI, etc

Visitor Profile

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Listed by: Date

Oct 27, 2023

[A Note of Thanks]Thank you for being with us and journey...

Dear exhibitors, visitors, friends from the media, and all our guests who participated in AWC 2023,

In the early days of this golden autumn, we came from all cor...

Aug 05, 2022

AWC Automotive News│State Council: Continuation of New En...

Aug 05, 2022

AWC Automotive News│Beijing Launches Normalized Charges f...

Concurrent Events

Welcome to the AWC China Automotive Industry Technology Exhibition.

Now, be yourself and enjoy yourself.

Welcome to Reed Exhibitions' Automotive World China, where everyone belongs. A culture of inclusion is fostered at all of our events, where everyone's uniqueness is celebrated. Our exhibitors, visitors, partners, and all of our colleagues come from diverse backgrounds, which makes our show stronger and our collective experience richer. Now, be yourself and enjoy every event.

Hello China Hello World

November 6-8, 2024

Shenzhen World Exhibition & Convention Center

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定制参观路线，省心高效逛展！AWC 9条主题导览路线发布，火热预定中……_腾讯新闻

定制参观路线，省心高效逛展！AWC 9条主题导览路线发布，火热预定中……

16万平方米超大展示规模囊括新能源汽车三电、三智、汽车电子、飞行汽车、汽车工程制造与装配、智能工厂与自动化、汽车新型材料。

汇聚3,000家参展商，30%为海外品牌。

涵盖新能源汽车设计研发及生产制造全产业链。

展中50+场专题论坛及2,000场次商务对接。

……

定义汽车制造未来！汽车行业万众瞩目的 Automotive World China 2023 深圳国际新能源及智能网联汽车全产业博览会（简称 AWC 2023）即将于10月11日盛大启幕！截至9月10日，近2万来自中外车企、整车厂、汽车研究院及T1供应商的汽车专业人士已登记参观 AWC 2023。

超大规模的展会，只想更高效的看展？立刻跟随我们的导览路线吧！9条专属定制的主题导览路线，总有一条适合你，让你看展更省心！

AWC 5条主题导览路线

导览集合点：

展景路深圳国际会展中心南广场

飞行汽车路线

汽车电子路线

智能驾驶 & 智能网联路线

新能源动力 & 新材料路线

新能源汽车电子制造路线

* 以现场最终路线为准

AMTS 4条主题导览路线

导览集合点：

展景路深圳国际会展中心南广场

车身工程路线

新能源动力总成工程路线

3C及家电智能装配路线

汽车零部件装配工程路线

* 以现场最终路线为准

AWC 贴心地为预定专属导览路线的观众准备了伴手礼——简约实用的手持小风扇，让你倍感清凉，舒心逛展！

距离AWC 2023开展

只！剩！两！周！

由深圳市工业和信息化局指导，励展博览集团主办的AWC（深圳国际新能源及智能网联汽车全产业博览会）将于2023年10月11-13日在深圳国际会展中心盛大开幕！

作为全球创新的聚焦新能源以及智能网联汽车的全产业B2B专业展会，AWC 2023 聚焦新能源及智能汽车的三电+三智前沿技术及解决方案,同时结合50+场次高峰论坛及动态场景演示、仿真测试及试乘等多元化活动，为观众提供一站式采购寻源，交流研讨和学习进修的机会,帮助探索创新应用的同时，优化供应链，突破技术瓶颈，提升自主研发能力，打造具有差异化和市场竞争力的新能源及智能网联汽车产品。AWC 2023 的核心观众皆来自于汽车制造商、一/二级供应商、系统集成商、汽车研究院、科研机构、大学、政府主管部门、行业商协会等。

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AUTOMOTIVE WORLD正式落地中国，AWC中国汽车工业技术展蓄势待发！

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AUTOMOTIVE WORLD正式落地中国，AWC中国汽车工业技术展蓄势待发！

2021年12月24日

关于AWC中国汽车工业技术展

AUTOMOTIVE WORLD CHINA中国汽车工业技术展（简称AWC）是一个涵盖汽车电子、车联网、自动驾驶、智慧座舱、EV/HV/FCV、汽车材料及轻量化、零部件、生产技术和MaaS等汽车行业重要主题的展览和会议组合。展会将吸引海内外500多家参展商及品牌，面向来自主机厂、一二级供应商以及相关产业链的20,000余名技术、研发、设计、企划、采购、工程、生产、制造、品控、管理等展示汽车工业技术核心器件、解决方案及工程技术服务。依托大湾区新能源和智能汽车产业及大湾区经济亚洲辐射力，共享日本东京及名古屋Automotive World展会的国际资源和影响力，以高效便捷的方式助力参展企业与目标客户对应部门关键人员建立密切联系，推广新技术新应用，挖掘行业发展新需求，拓展市场商业新机遇。

主办方

为何参展

1. 中国智能汽车和新能源汽车蓬勃发展

智能汽车正成为新一轮科技和产业革命的战略高地，中国智能汽车行业迎来了高速发展的黄金时代，同时随着消费者环保意识提升及国内环保标准日益严格，中国新能源汽车销量和保有量稳步上升。插上智能和新能源两个翅膀的汽车工业，再次迎来了历史机遇。

2. 大湾区加快发展先进制造业，培育壮大战略性新兴产业

《粤港澳大湾区发展规划纲要》指出要构建以粤港澳大湾区为龙头，以珠江-西江经济带为腹地，带动中南、西南地区发展，辐射东南亚、南亚的重要经济支撑带。推动互联网、大数据、人工智能和实体经济深度融合，大力推进制造业转型升级和优化发展。培育壮大新能源、节能环保、新能源汽车等产业，形成以节能环保技术研发和总部基地为核心的产业集聚带。

3. 源自日本AUTOMOTIVE WORLD，背景强大

源自全球领先的先进汽车工业技术展览会——日本AUTOMOTIVE WORLD，已成功举办13届，如今已成为行业认可的规模大，知名度高，影响力强的汽车行业盛会。在中国举办的AUTOMOTIVE WORLD CHINA是由励展博览集团大中华联合合资公司励进展览（上海）有限公司（AMTS和AHTE主办方），充分利用励展日本AUTOMOTIVE WORLD资源和经验，倾力打造的汽车工业技术展览会。

4. 聚焦智能汽车和新能源汽车最新技术和解决方案

涵盖汽车电子、车联网、自动驾驶、智慧座舱、EV/HV/FCV、汽车材料及轻量化、零部件、生产技术和MaaS等汽车行业重要主题，打造从电子器件到解决方案，再到工程技术的一站式汽车工业技术平台。

5. 拥有强大汽车行业资源

AUTOMOTIVE WORLD东京和名古屋，AMTS，AHTE，AUTOMOTIVE WORLD CHINA多年预展和汽车行业会议，使得我们拥有亚洲汽车行业主机厂，一二级供应商，产业链关联企业资源，并建立了良好的关系。2022年预计将吸引来自主机厂、一二级供应商以及相关产业链的20,000余名技术、研发、设计、采购、工程、管理等人员。

6. 协同政府、协会、合作伙伴资源，举办高端主题峰会和系列技术研讨会

充分利用日本AUTOMOTIVE WORLD会议演讲阵容，结合政府、协会、合作伙伴资源，举办高端主题峰会和系列技术研讨会。来自美国、日本、中国等国际颇具远见的意见领袖出席，深度探讨汽车工业商业发展和技术发展的新动力。同期还将举办多场技术研讨会，重点围绕自动驾驶、智能网联、智能座舱、信息安全等热门主题，更有创新交互体验区，获取汽车工业技术前沿趋势。

7. 多重参展增值服务，提升市场营销效率

通过展位服务、会议赞助、媒体采访、大数据推广服务等多渠道推广，拓展品牌和产品行销机会；通过商务配对、商务交流沙龙等多元化对接，了解买家需求，提升获单效率。

8. 共享同期展会主机厂和一二级供应商资源

同期展会Nepcon Asia和C-Touch and Display Shenzhen，历年来有众多主机厂、一二级供应商参观和参与现场汽车电子和智能座舱主题展示和会议，三展协同，将为AWC带来更多价值。

展品范围

AWC将汇聚自动驾驶、智能网联、测试技术、连接技术、车身电子、汽车材料等领域极具影响力的供应商及品牌参展，集中展示汽车电子新技术、新材料、及具有实践性技术解决方案。

重点观众

AWC将吸引来自主机厂与一级供应商等研发、设计、采购部的工程师、主管等相关负责人。

展会规模

AWC 2022与Nepcon Asia以及深圳国际全触与显示展等同期同地举办，联袂打造14万平方米、10万+观众超级展览盛宴。励展全球协同，推动世界汽车工业技术发展。

系列展会

图文来源 | AUTOMOTIVEWORLD汽车电子技术展

联系我们

许女士（Boney Xu）

电话：+86-755-23834582

邮箱：boney.xu@rxglobal.com

程先生（Johnny Cheng）

电话：+86-21-2231-7388

邮箱：johnny.cheng@rxglobal.com.cn

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时间调整通知 | AMC 2022汽车工程与新能源汽车产业系列会议将于4月20-21日举办

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AWC 2022 魔兽世界竞技场世界锦标赛杯赛四第一日欧服八强赛_WOW

AWC 2022 魔兽世界竞技场世界锦标赛杯赛四第一日欧服八强赛_WOW 首页番剧直播游戏中心会员购漫画赛事投稿AWC 2022 魔兽世界竞技场世界锦标赛杯赛四第一日欧服八强赛

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赛事库课堂 2021

AWC 2023 opens in Shenzhen on October 11th-Bringing the global players together to define the future of automotive industry

November 6-8, 2024

Shenzhen World Exhibition & Convention Center

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AWC 2023 opens in Shenzhen on October 11th

Bringing the global players together to define the future of automotive industry

(Oct 11th, 2023) Today, Automotive World China (AWC 2023) opens grandly at the world-recognized tech hub of Shenzhen, with about 3,000 Chinese and international exhibitors presenting technologies and solutions for new energy and intelligent connected vehicles, bringing out an incredible and inspiring display of products and technologies of today and a very near tomorrow. It was a thrilling testimony to the growth and development of the new energy vehicle industry in China and around the world.

AWC brings together the full gamut of Chinese and overseas new energy and internet-connected vehicle manufacturers and suppliers, government authorities, automotive enterprises, R&D institutes, and application sectors. It isn’t just “the” place to smarten up one’s industry know-how, it’s just as much about meeting the right people that make it possible, each link in the chain from conception to final production and commercialization.

AWC also comes as a great business platform to construction of a "world-class new-generation automobile hub" in Shenzhen.

Based on Shenzhen's "20+8" industrial cluster initiation, AWC actively takes part in building a "world-class new-generation automobile hub"

Shenzhen boasts the most complete new energy vehicle supply chain. It is also one of the most competitive players in the global new energy vehicle market, and has great potential for exporting new energy vehicles. In 2022, Shenzhen released its policy for the building of "20+8" industrial clusters, in which the strategically-important emerging industries such as intelligent connected vehicles are taking the center stage. And recently, the Industry and Information Technology Bureau of Shenzhen Municipality issued the Three-Year Action Plan for Accelerating the Construction of a "world-class new-generation automobile hub" (2023-2025), which proposed that by 2025, Shenzhen expects an automobile production capacity of over 2 million vehicles, a much more prominent role in the global automobile market, and an automobile industry cluster worth of one trillion yuan. The plan also demanded to accelerate the application of intelligent connected technology in order to increase the competitiveness of its automobile industry. Meanwhile, Shenzhen will foster the development of automobile-related exhibitions, aiming to host internationally influential exhibitions for new energy vehicles. In this context, AWC emerged as an important business platform for Shenzhen's strategy of becoming a world-class automobile hub.

AWC is a large-scale, innovative, professional exhibition for the global supply chain of new energy and intelligent connected vehicles. It attracts upstream and downstream resources to Shenzhen, and empowers Shenzhen as a "world-class new-generation automobile hub". As China is taking a leading position in the new round of transformation in the global automobile industry, AWC assumes an important role in the development of China's automobile industry and its fast expansion in the global market.

New technologies, new products, and new trends in the entire new energy vehicle supply chain revealed by a world-class lineup of exhibitors

As a trend-setter for the international new energy and intelligent connected vehicle industries, AWC 2023 has attracted a lot of industry leaders.

The exhibition halls are packed with leading industry players, e.g. BYD Semiconductor, Autosar, Bosch, SGS, DeepRoute, Neolix, FavoredTech, Xpeng, AutoX, Hangsheng Technology, Gotion, FinDreams, Taiyo Ink, Rubycon, Idemitsu Chemical, Tencent, Ehang, AutoFlight, ZF, China Mobile, SF, Innovusion, Unlimited AI, RoboSenseKeyence, Han's Laser, GKONCY Electric, Partners Auto, Nakamura Precision Machinery, Asahi Energy, CGXi Intelligent Manufacturing, Upton Technology and DEPRAG.

A fleet of emerging industry giants showcases "futuristic technology" at the eye-catching eVTOL Zone

A futuristic exhibition zone is devoted to " eVTOL " at AWC 2023. It gathers leading eVTOL manufacturers and their advanced products and technologies. The exhibition thus opens up new possibilities of future transportation, and offer the visitors a first taste of the future "low-altitude flying" era that was only envisioned in sci-fi movies before.

XPENG AEROHT, Ehang Intelligence, AutoFlight Aviation, Weihang Technology, and China Mobile showcase their eVTOL products, the hybrid of intelligent automobile and modern aviation manufacturing technologies. Their amazing display brings the future 3D travel to the visitors up close. XPENG AEROHT, Asia's leading flying car company, fulfills the visitors’imagination of low altitude flight with its flying car X2. The autonomous urban flight vehicle innovator, Ehang Intelligent, brings a manned autonomous flight vehicle that can be widely used for urban air travel. It can take off and land vertically, and hover in the air, making it possible for a better life in the technology-equipped smart cities. AutoFlight Aviation is a pioneer in eVTOL air taxis that can reduce the hour-long ground traffic time during peak hours to 15-20 minutes, a clear demonstration of the magic of low altitude travel and transportation.

Exhibitors in the " eVTOL " exhibition area are busy talking to representatives from government authorities and application sectors such as logistics transportation, port transportation, emergency rescue, medical transportation, agricultural and forest operations, surveying and mapping, tourism, etc. to promote the commercial use of their products.

International exchanges connect global business opportunities, and exhibition platform promotes expansion to overseas markets of Chinese brands

AWC 2023 boasts a robust conference program covering topics about "industry, academia, research and application" through collaboration with its Chinese and international partners, e.g. the China Communications and Transportation Association and SAE International, co-organizing over 50 industry forums and summits, including the "China Future Transportation Industry Development Summit", the " Forum on EIC System Technology in New Energy Vehicles", the " Forum on Autonomous Driving", the "Shenzhen International Electric Vehicle EIC System and Intelligent Manufacturing Technology Conference", and the "Summit on New Energy Vehicle Parts Manufacturing Engineering". These conferences provide a one-stop cross-disciplinary exchange platform for experts from the automotive, electronics, intelligent manufacturing and transportation industries. Top industry leaders and experts inform and discuss the exciting today and tomorrow of automotive technology.

AWC also features unprecedented international visitor participation that can be a driving force in the overseas expansion of the Chinese automobile industry. In collaboration with embassies and consulates, industry associations, and trade and investment promotion institutions from a diversity of countries, AWC 2023 holds a number of international exchange activities along with the exhibition, including the "Vietnam Day", "Thailand Day", "Malaysia Investment Seminar", and "Japan- South Korea Visiting Scheme". Throughout the 3-day exhibition in Shenzhen, about 2,000 business matchmaking meetings will be held between the exhibitors and trade visitors. Such activities will promote industrial exchanges between China and other countries and build a win-win global value chain that is crucial to Chinese new energy vehicle companies’ “go global” strategy.

Large-scale concurrent exhibitions offer enhanced efficiency and rewards

Alongside AWC 2023 , a number of major exhibitions in related industries including electronics, displays, and new materials, are held, including NEPCON ASIA, ES SHOW, C-Touch and Display, FILM & TAPE EXPO, and COMMERCIAL DISPLAY Shenzhen. These exhibitions jointly present a grand 160,000-sqm feast of technology that is expected to attract over 100,000 visitors who come to experience the cutting-edge technology and the energetic innovation of the automotive industry on the show floor.

Targeting the "dual-carbon" goals to promote sustainable development of the automotive industry

S-Future, the sustainable future-oriented cross-sector platform created by RX China, has teamed up with AWC to launch a "Sustainable Corner" where leaders and pioneers who have made outstanding performance in the sustainable development of the automotive industry meet and share their experience. They hold talks about sustainable concepts and strategic roadmap, auto design and R&D, intelligent green manufacturing, sustainable supply, and low-carbon solutions for the automotive industry.

Dialogues in the "Sustainable Corner" cover zero-carbon product and component design and development, sustainable performance improvement, green materials and procurement, low-carbon park and intelligent factory construction, battery recycling, hydrogen energy, fuel cells, and more.

Deep, cross-sector integration defines the future of automotive manufacturing

The deeper integration between the Internet, new energy, artificial intelligence, shared economy, energy conservation and emission reduction technologies in the automobile industry and future transportation will greatly change how we travel, our safety and efficiency, as well as the public services, the way we live, work and play. Application scenarios and user experience is becoming important considerations for car companies while they define their differentiated advantages in the highly competitive market, and for the consumers while making car purchasing decision.

As China’s exclusive new energy vehicle and smart car R&D and manufacturing event organized by RX, and a leading destination for cutting-edge technologies, innovation results, and future trends, AWC 2023 is staged at Shenzhen World Exhibition and Convention Center on October 11th - 13th.

About AWC 2023

Automotive World China (AWC) focuses on technologies and solutions for new energy vehicles (NEV), intelligent Connected vehicles (ICV), as well as automotive engineering. Integrating a diversity of concurrent activities including summits and live demonstration in application scenarios, the event builds a panoramic business ecosystem, providing ample opportunities for sourcing, purchasing, technical exchange and learning opportunities under one roof. It helps you to discover innovative applications, accelerate smart automation upgrading in auto manufacturing, optimize the supply chain, and build highly competitive NEV and ICV products in the fast-evolving market.

www.automotiveworld.cn

November 6-8, 2024

Shenzhen World Exhibition & Convention Center

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