Hydrological data of Kafinigan hydrological station in Amu Darya River Basin,Central Asia (2021)

This data is the hydrological data of the Kaffinigan Hydrological Station, the upper tributary of the Amu Darya. The station is jointly constructed by the Urumqi Desert Meteorological Institute of the China Meteorological Administration, the Institute of Water Issues, Hydropower and Ecology of the National Academy of Sciences of Tajikistan, and the Tajikistan Hydrological and Meteorological Bureau. This data can be used for scientific research such as water resource assessment in Central Asia and services such as water conservancy projects. Data period: December 4, 2020 to September 4, 2021. Data elements: hourly flow velocity (m/s), hourly water level (m) and hourly rainfall (m) Site location: 37°36′01″N, 68°08′01″E, 420m 1. 300W-QX river velocity and water level observation instrument (1) Flow rate parameters: 1 Power supply voltage 12 (9~27) V(DC) 2 Working current 120 (110~135) mA 3 Working temperature (-40 ~85) °C 4 Measuring range (0.15 ~20) m/s 5 Measurement accuracy ±0.02m/s 6 Resolution 1mm 7 Detection distance 0.1~50 m 8 Installation height 0.15~ 25 m 9 sampling frequency 20sps (2) Water level parameters: 1 Measuring range 0.5~20 m 2 Measurement accuracy ±3 mm 3 Resolution 1 mm 4 Repeatability ±1mm 2. SL3-1 tipping bucket rain sensor 1 Water bearing diameter ф200mm 2 Measure the precipitation intensity within 4mm/min 3 measure the minimum division of 0.1mm precipitation 4 Maximum allowable error ±4%mm 3. Frequency of flow rate and observation instrument data acquisition: The sensor measures the flow rate and water level data every 5S 4. Hourly average flow rate calculation: The hourly average flow rate and water level data are calculated from the average of all flow rate and water level data measured every 5S within one hour

0 2022-05-12

Hydrological data of Heihe River: report set of planning and water distribution of Heihe River Basin

Data investigation method: investigation and collection of Heihe River Basin Authority. The data include: the water distribution plan of the main stream of Heihe River (including Liyuan River) prepared by the Yellow River Water Conservancy Commission of the Ministry of water resources in 1996; the brief report on the water conservancy planning of the main stream of Heihe River prepared by Lanzhou survey and Design Institute of the Ministry of water resources in 1992; the short term management plan of Heihe River Basin approved by the State Council in 2001; the compilation of historical documents of water regulation of Heihe River by the administration of Heihe River Basin in 2008 》In 2014, the research on the reasonable allocation scheme of water resources in Jiuquan Basin of the Taolai River Basin was compiled by the Taolai River Basin Authority.

0 2020-07-28

Datasets of changes in water storage area time series, lakeside ecosystem structure and salt dust (1911-2017)

The data include the datasets of temporal changes in water level, water storage and area of the Aral sea (1911−2017), the inter-decadal change of ecosystem structure (NDVI—Normalized Difference Vegetation Index) of the Aral sea (1977−2017), and dust intensity (EDI—Enhanced Dust Index) in the Aral sea (2000−2018). Using data fusion technology in the construction of a lake basin terrain, terrain based on remote sensing monitoring and field investigation, on the basis of the analysis of the Aral sea terrain data, generalized analyses the water - area - the changes of water content, the formation of water - water - area of temporal variation data set, can clearly reflect the Aral sea water change process and the present situation, provide basic data for the Aral sea environmental change research. The NDVI was used to reflect the vegetation ecology in the receding area. Landsat satellite data, with a spatial resolution of 30 m, was used for NDVI analysis in 1977, 1987, 1997, 2007, and 2017. Based on ENVI and GIS software, remote sensing image fusion, index calculation, and water extraction were used to determine the lake surface and lakeshore line of the Aral sea. The lakeside line in the south of the Aral sea is taken as the starting point, and it extends for 3 km to the receding area. The variation characteristics of vegetation NDVI in the lakeside zone within 0-3 km are obtained to reflect the structural changes of the lakeside ecosystem. EDI was extracted from MODIS image data. This index is introduced into the dust optical density to enhance the dust information to form the enhanced dust index. Based on remote sensing monitoring, the use of EDI, established the Aral sea area-EDI index curve, the curve as the construction of the Aral sea dry lake bed dust release and meteorological factors, quantitative relationship laid the foundation of soil physical and chemical properties, in order to determine the control of sand/salt dust in the reasonable area of the lake.

0 2020-05-27

Data set of hydrological section survey in the middle reaches of Heihe River (2005)

Data overview: from September 23 to September 30, 2005 and from November 5 to November 9, 2005, the remote sensing Office of hanhanyuan Institute of Chinese Academy of Sciences measured 21 hydrological sections between Yingluoxia hydrological station and zhengzhengxia hydrological station in the middle reaches of Heihe River. Data acquisition process: using two sets of zhonghaida hd8080 GPS receivers and one set of DS3 level of Southern surveying and mapping company, combining GPS and leveling. Section survey mainly includes two steps. Firstly, two differential GPS are used to select high-precision control points on both sides of the river bank or on one side of the selected section, and two GPS receivers are used to observe for 30 minutes simultaneously. Then, on the basis of these control points, the level is used for continuous measurement of the section. According to the river width, a certain number of sounding plumb lines are arranged on the section to measure the water depth and the starting point distance of each sounding plumb line. The measuring points are relatively dense in the main channel part, and the beach is relatively sparse. The distance between the two points of the main channel part is 2m. This data can provide the key basic data for the hydrological simulation of surface groundwater in the middle reaches of Heihe River.

0 2020-03-08