Input and output table of Heihe River Basin in Gansu Province in 2002 and 2007, including 144 departments
"Coupling and Evolution of Hydrologic -Ecologic-Economic Processes of the Heihe River Basin Under the Framework of Water Rights" (91125018) Project data collection 1 - SWater Resources Improvement Plan of Shiyang River Basin 1. Data Overview:The improvement plan of Shiyang River Basin was implemented in 2007 for river basin comparison. 2. Data Content: The released plan.
This data set includes the information of 21 conventional meteorological observation stations in Heihe River Basin and its surrounding areas, of which Wutonggou and Quixote stations have been cancelled in the 1980s, and other stations have operated since the establishment of the station. Station name, longitude and latitude 1. Mazong mountain 97.1097 41.5104 2. Yumen town 97.5530 39.8364 3. Wutonggou 98.3248 40.4697 4. Jiuquan 98.4975 39.7036 5. Jinta 98.9058 39.9988 6. Dingxin 99.5117 40.3080 7. Gaotai 99.7907 39.3623 8. Linze 100.165 39.1385 9. Sunan 99.6178 38.8399 10. Yeniugou 99.5830 38.4167 11. Tole 98.0147 39.0327 12. Ejina Banner 101.088 41.9351 13. Guaizi Lake 102.283 41.3662 14. Zhangye 100.460 38.9124 15. Shandan 101.083 38.7746 16. Folk music 100.826 38.4376 17. Alxa Right Banner 101.429 39.1407 18. Yongchang 101.578 38.1771 19. Qilian 100.238 38.1929 20. Gangcha 100.111 37.2478 21. Menyuan 101.379 37.2513 22. Gekkot 99.7063 41.9183 23. Jiayuguan 98.2241 39.7975
Photosynthesis of Populus euphratica is mainly affected by atmospheric CO2 concentration, intercellular CO2 concentration, photosynthetic active radiation and leaf temperature when groundwater level is deep and shallow, but with the decrease of groundwater level, atmospheric CO2 concentration and photosynthetic active radiation become the main factors limiting photosynthesis of Populus euphratica. This is because when the groundwater depth is low, the groundwater supply is sufficient, and the leaves are not limited by the water supply. When the photosynthetic effective radiation is strong, the air temperature and leaf temperature are relatively high, and the relative humidity of the air is small. At this time, the photosynthesis and transpiration are both strong. Stomata mainly adapt to strong transpiration by increasing stomatal conductance, i.e. reducing stomatal resistance. At the same time, CO2 in the air continuously enters cells through open stomata, and becomes the raw material for photosynthesis together with intercellular CO2, thus causing the decrease of CO2 concentration in the air and intercellular space, which is the CO2 supply limitation that often causes photosynthesis inhibition in photosynthesis. However, when subjected to water stress, the supply of CO2 is no longer the main reason for limiting photosynthesis. When the photosynthetic effective radiation increases, the net photosynthetic rate, transpiration rate and stomatal conductance all increase. When the supply of CO2 concentration is relatively sufficient, photosynthesis will be slowed down due to the shortage of water, another necessary raw material for photosynthesis. Water use efficiency and water productivity of plants are of great practical significance for measuring and screening species in arid regions. The flow rate was 400μmol/ s and the leaf temperature was kept at 26°C using the L I-6400 portable photosynthesis analyzer, the CO2 concentration in the reference chamber was kept at 360μmol/ mol or 720μmol/ mol using the CO2 injection system, and the photosynthetically active radiation (PAR) was set at 2000,1500,1200,1000,500,300,50,0 μ mol/(m2) using the 6400-02B L ED light source. s) 。 Twelve healthy and mature leaves were selected from the east, south, west and north of each Populus euphratica to the middle and upper parts respectively, from 8 :00 to 20 :00, and photosynthetic apparatus Li 6400 (Li 6400, LiCOR, Lincoln, NE, USA) respectively measured the net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (gs) and other gas exchange parameters of each leaf, simultaneously measured the atmospheric CO2 concentration (Ca), intercellular CO2 concentration (Ci), photosynthetic effective radiation (Pa r), atmospheric temperature (T a), leaf surface temperature (Tl), air relative humidity (RH) and other parameters, and repeated readings for each leaf 3 times. Water use efficiency (WUE) = Pn/ Tr, stomatal limitation (Ls )= 1-Ci/Ca.
This data set is one of the results of the project "Determination of Cultivated Land Use Coefficient and Land Use Change Research in Zhangye City". It is a land use database in Zhangye City based on Landsat TM and ETM remote sensing data. The land use data adopts a hierarchical land cover classification system, which divides the land use types of Zhangye City into 6 first-class categories (cultivated land, forest land, grassland, water area, land for urban and rural industrial and mining residents and unused land) and 25 second-class categories. The data range includes Shandan, Minle, Linze, Gaotai, Sunan Yugu Autonomous County and Ganzhou District. The classification standard adopts the land use classification standard used by the Chinese Academy of Sciences since 1986. The data type is vector polygon and stored in Shape format. The data range covers Zhangye City.
1. Data overview: water footprint and virtual water trade of tertiary industry in gansu province in 1997, 2002 and 2007 2. Data content: input-output value flow statement of gansu province, input-output value flow statement of primary industry, secondary industry and tertiary industry of gansu province, water use data, water footprint and virtual water trade data 3. Spatial and temporal scope: data time is 1997, 2002 and 2007;The space scope is gansu province 4. Data description: The data in this part are mainly the socio-economic and regional water supply and consumption data of gansu province, including the following 5 documents: (1) table of input and output of gansu province. XLS: value flow table of input and output of gansu province in 1997, 2002 and 2007, raw data of social economy. (2) input and output table of gansu province. XLS: input and output table of primary industry, secondary industry and tertiary industry of gansu province in 1997, 2002 and 2007 (3) summary table of water use data. XLS: original water use data. (4) calculation results of gansu province. (5) description of virtual water trade data of gansu province. For detailed data description, please refer to "gansu province virtual water trade data description" word document.
Eo-1 (Earth Observing Mission) is a new Earth Observing satellite developed by NASA to replace Landsat7 in the 21st century. It was launched on November 21, 2000.The orbit of eo-1 satellite is basically the same as that of Landsat7, which is a solar synchronous orbit with an orbital altitude of 705km and an inclination Angle of 98.7°, which is 1min less than that of Landsat7 and crosses the equator.On board of EO 1 3 kinds of sensors, namely, the Advanced Land Imager (ALI (the Advanced Land Imager), atmospheric correction instrument AC (Atmosp heric Corrector) and compose a specular as spectrometer (Hyperion), Hyperion sensor is first spaceborne hyperspectral mapping measurement instrument, the hyperspectral data a total of 242 bands, spectral range is 400 ~ 2500 nm, spectral resolution up to 10 nm, ground resolution of 30 m. Currently, there are 6 scenes of eo-1 Hyperion data in heihe river basin.The coverage and acquisition time were: 4 scenes in the encrypted observation area of zhangye urban area + yingke oasis encrypted observation area (2007-09-10, 2008-05-12, 2008-05-20, 2008-07-15).Two scenes of the iceditch watershed observation area were encrypted, the time was 2008-03-17, 2008-03-22, respectively. Product grade is L1 without geometric correction. The eo-1 Hyperion remote sensing data set of heihe integrated remote sensing joint experiment was acquired by researcher wang jian and Beijing normal university through purchase. (note: "+" represents simultaneous coverage)
In 2007, 2008 and 2009, ENVISAT ASAR data 179 scenes, covering the whole Heihe River Basin. Among them, there were 63 in 2007, 71 in 2008 and 45 in 2009. Imaging mode and acquisition time are respectively: app can select polarization mode from August 15, 2007 to December 23, 2007, from January 02, 2008 to December 202009-02-15, 2008 to September 06, 2009; imp imaging mode from June 19, 2009 to July 12, 2009; WSM wide mode from January 1, 2007 to December 302008-01-01, 2007 to November 28, 2008, from March 13, 2009 to May 22, 2009. The product level is L1B, which is amplitude data without geometric correction. The ENVISAT ASAR remote sensing data set of Heihe comprehensive remote sensing joint experiment is mainly obtained through the China EU "dragon plan" project (Project No.: 5322 and 5344); the WSM wide model data in 2007 and January 2008 are obtained from Professor Bob Su of ITC; the 8-view app can be purchased from the earth observation and digital earth center of Chinese Academy of Sciences.
ASTER data in 2007 and 2008 are 15 scenes, covering the whole Heihe River Basin. Acquisition time: 2007-10-22 (1 scene), 2007-11-14 (1 scene), 2007-11-23 (1 scene), 2007-12-04 (1 scene), 2008-01-28 (1 scene), 2008-02-13 (1 scene), 2008-05-03 (4 scenes), 2008-05-05 (1 scene), 2008-05-17 (1 scene), 2008-06-04 (2 scenes), 2008-06-13 (1 scene). The product level is L1B, which has been calibrated by radiation and geometry. The ASTER Remote sensing data set of Heihe integrated remote sensing joint experiment was obtained from NASA's data website (https://wist.echo.nasa.gov/) through international cooperation.
The dataset of surface roughness measurements was obtained in No. 1 and 2 quadrates of the E’bao foci experimental area during the pre-observation period. Both the quadrates were divided into 3×3 subsites, with each one spanning a 30×30 m2 plot. With the roughness board 110cm long and the measuring points distance 1cm, the samples were collected along the strip from south to north and from east to west, respectively. The coordinates of the sample would be got with the help of ArcView; and after geometric correction, surface height standard deviation (cm) and correlation length (cm) could be calculated based on the formula listed on pages 234-236, Microwave Remote Sensing, Vol. II. The original photos of each sampling point, surface height standard deviation (cm) and correlation length (cm) were archived. The roughness data were initialized by the sample name, which was followed by the serial number, the name of the file, standard deviation and correlation length. Each .txt file is matched with one sample photo and standard deviation and correlation length represent the roughness. In addition, the length of 101 needles is also included for further validation.