Zhangye basin mainly includes 20 irrigation areas. Under the restriction of water diversion, the surface water consumption of the irrigation area is under control, but the groundwater exploitation is increased, resulting in the groundwater level drop in the middle reaches, resulting in potential ecological environment risks. Due to the complex and frequent exchange of surface water and groundwater in the study area, it is possible to realize the overall water resource saving by optimizing the utilization ratio of surface water and groundwater in each irrigation area. In this project, on the premise of not changing the water demand of the middle reaches irrigation area, the two problems of maximizing the outflow of Zhengyi Gorge (given groundwater reserve constraint) and maximizing the outflow of Zhengyi Gorge (given groundwater reserve constraint) are studied.
ZHENG Yi
The distribution map of irrigation area and main and branch canals in Heihe River basin includes the main irrigation area and the distribution of all main and branch canals in Heihe River Basin. The irrigation area mainly includes Luocheng irrigation area, Youlian irrigation area, Liuba irrigation area, Pingchuan irrigation area, liaoquan irrigation area, Liyuan River irrigation area, yannuan irrigation area, Banqiao irrigation area, Shahe irrigation area, Xijun irrigation area, Yingke irrigation area, Daman irrigation area, Maying River irrigation area, shangsan irrigation area, Xinba irrigation area and Hongyazi irrigation area. The distribution map of main and branch canals includes all the main canals and branch canals of these 16 irrigation areas.
XU Maosen, XU Zongxue, HU Litang
The data is clipped from "1: 1 million wetland data of China". "1: 1 million wetland data of China" mainly reflects the national marsh wetland information in the 2000s. It is expressed in geographic coordinates using the decimal degree. The main contents include: marsh wetland types, wetland water supply types, soil types, main vegetation types, geographical area, etc. Implemented the "Standard for Information Classification and Coding of Sustainable Development Information Sharing System of China". Data source of this database: 1:20 swamp map (internal version), Tibetan Plateau 1: 500,000 swamp map (internal version), swamp survey data 1: 1 million and national 1: 4 million swamp map; processing steps are: data source selection, preprocessing, digitization and encoding of marsh wetland elements, data editing processing, establishing topological relationships, edge processing, projection conversion, linking with attribute databases such as place names and obtaining attribute data.
ZHANG Shuqing
The data was compiled from "China's 1:100 million wetlands data" to get a figure of 1 million wetlands in gansu province. "China 1:100,000 wetland data" mainly reflects the information of marshes and wetlands throughout the country in the 2000s, and is represented by geographical coordinates in decimal scale. The main contents include: types of marshes and wetlands, types of water supply, types of soil, types of main vegetation, and geographical regions.The information classification and coding standard of China sustainable development information sharing system was implemented.Data source of this database: 1:20 swamp map (internal version), 1:500 000 swamp map (internal version) of qinghai-tibet plateau, 1:100 000 swamp survey data and 1:400 000 swamp map of China;The processing steps are as follows: data source selection, preprocessing, marshland element digitization and coding, data editing and processing, establishment of topological relationship, edge-to-edge processing, projection transformation, connection with attribute database such as geographical name and acquisition of attribute data.
ZHANG Shuqing
I. Overview The Yellow River is the second longest river in our country. The problem of the Yellow River's sediment has attracted the attention of people all over the world. Based on the vector map of the 14 million rivers in China as a base map, the upper reaches of the Yellow River basin were cut out. The vector map of the river is a key element for extracting the boundary of the basin by using the topographic map, and it is also a key element for flood evolution and sediment evolution. Ⅱ. Data processing description Using the national vector map of the 14 million rivers as the data source, it is cut out by using the boundary of the upper reaches of the Yellow River. Ⅲ. Data content description The map is stored in ArcGIS, .shp files, including vector diagrams of the main and tributaries from the source area of the Yellow River to Toudaoguai. Ⅳ. Data usage description The vector map of the river is a key element for extracting the boundary of the watershed by using the topographic map, and it is also a key element for flood evolution and sediment evolution.
XUE Xian, DU Heqiang
International literature on murray-darling river basin research is collected from SCI - E and SSCI citation databases in web of science database.Using Murray - the darling river basin related name, the name of the wetland, lake, river, name of the dam or reservoir, and Murray darling river flows through the administrative areas of name give priority to inscription for retrieval, and use the language (English) and the types of literature (articles), and Murray - the darling river basin water resources research related research direction selection, finally get the document of 1912-2012.
ZHANG Zhiqiang
1、 Data Description: from June 2012 to June 2013, the rainfall, river water and soil water in the basin were sampled and analyzed. 2、 Sampling location: rainfall sampling point is located in Qilian station of Chinese Academy of Sciences, with longitude and latitude of 99 ° 52 ′ 39.4 ″ e, 38 ° 15 ′ 47 ″ n; river water sampling point is located at the outlet of hulugou watershed, with longitude and latitude of 99 ° 52 ′ 47.7 ″ e, 38 ° 16 ′ 11 ″ n, with sampling frequency of once a week; soil water sampling point is located in the middle and lower part of hongnigou catchment, with sampling depth of 180cm underground and longitude and latitude of 99 ° 52 ′ 25.98 ″ E, 38 ° 15 ′ 36.11 ″ n, only one sample is taken. 3、 Test method: thermofisher TM flash 2000 and mat 253 gas stable isotope ratio mass spectrometer were used to measure the samples in 2012; l2130-i ultra-high precision liquid water and water vapor isotope analyzer was used to measure the samples in 2013.
SUN Ziyong, CHANG Qixin
一. data description The data included the spring flow observation data of 5 springs in the small gully basin in July 2012. 二. Sampling location The sampling point of quan 1 is xizhigou daquan, with the latitude and longitude of 99 ° 51 '23 "E, 38 ° 14' 33" N. The sampling point of spring 2 is 20 meters east of the outlet of the basin, with the latitude and longitude of 99°52 '50.9 "E,38°16' 11.44" N. The sampling point of spring 3 is 80 meters east of the outlet of the basin, with the latitude and longitude of 99°52 '52.8 "E,38°16' 11.24" N. The sampling point of spring 4 is 120 meters east of the outlet of the basin, with the latitude and longitude of 99°52 '55.9 "E,38°16' 11.4" N. The sampling point of quan 5 is 150 meters east of the outlet of the basin, with the latitude and longitude of 99°52 '55.9 "E,38°16' 11.5" N. 三. Test method By estimating the velocity of the spring and the cross-sectional area of the spring to estimate the size of the spring flow.
SUN Ziyong, CHANG Qixin
1、 Data Description: from May 2013 to July 2014, the observation frequency of automatic observation data is 1 time / 15 minutes. The solinst levellogger automatic water level gauge is used to observe the river water level, and the flow data is calculated through the water level flow curve. The actual flow observation is manually observed through the self-made flow weir (see the thumbnail). Due to the limited amount of manual observation data, further supplementary observation is needed to improve the water level discharge curve. 2、 Sampling location: it is located at the outlet catchment of the alluvial delta Valley, and the south side is the shrub area. A small flow weir is built. Coordinates of observation points (99 ° 52 ′ 58 ″ e, 38 ° 14 ′ 36 ″ n)
SUN Ziyong, CHANG Qixin
This data mainly includes ten day runoff data of Yingluo gorge and Zhengyi gorge in Heihe River Basin, among which the time range of Yingluo gorge data is 1944-2010 and Zhengyi gorge data is 1947-2010. Source: Heihe River Basin Authority. Data unit: 100 million cubic meters / 10 days. Data format: Excel "Yingluo gorge 2" and "Yingluo gorge 2 (2)" in the data table are the ten day runoff data of Yingluo gorge, the same as "Yingluo gorge" in the data table, and Yingluo gorge 2 (2) contains the chart.
WANG Zhongjing
1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2012 to December 1, 2012. 2. Data content: at 08:00, 14:00 and 20:00 every day, the flow rate and water level change of the outlet hydrological section of hulugou River Basin are regularly observed (the flow rate is measured by ls45a rotating cup type flow meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd., and the water level change is monitored in real time by hobo pressure type water level meter), the water level flow relationship is established, and the outlet flow of the river basin is calculated. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.
CHEN Rensheng, SONG Yaoxuan, LIU Junfeng, HAN Chuntan
1、 Data Description: the data includes the river temperature of the river section in No.2 catchment area of hulugou small watershed and the river section at the intersection of the East and West Branch ditches from July 2014 to September 2014. 2、 Sampling location: the coordinates of river section in No.2 catchment area are 99 ° 52 ′ 58.40 ″ e, 38 ° 14 ′ 36.85 ″ n. The cross section coordinates of the river at the junction of the East and West Branch ditches are 99 ° 52'45 "E, 38 ° 15'26.60" n.
MA Rui
The data includes the discharge data of the outlet river of No.2 catchment area of hulugou small watershed from July 24 to September 11, 2014 / 2015. Sampling location: the coordinates of river flow monitoring section are located at the outlet of No. 2 catchment area, near the red wall, with coordinates of 99 ° 52 ′ 58.40 ″ E and 38 ° 14 ′ 36.85 ″ n. The soil temperature monitoring depth in hulugou is 20cm, 50cm, 100cm, 200cm and 300cm. The monitoring depth of groundwater temperature is 10m. The observation frequency is 1 time / 1 hour. The time range of observation data is from May 13, 2015 to September 5, 2015. Sampling location: the soil temperature monitoring point in hulugou small watershed is located in the middle of the Delta, with the geographic coordinates of 99 ° 52 ′ 45.38 ″ E and 38 ° 15 ′ 21.27 ″ n.
MA Rui
1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2011 to November 2, 2011. 2. Data content: the flow data of the hydrological section at the outlet of hulugou, and the flow of the hydrological section at the outlet of the drainage basin is regularly observed at 08:00, 14:00 and 20:00 every day (the ls45a rotating cup type current meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd. is used for measurement). At the same time, hobo pressure water level gauge is used to monitor the change of water level in real time and establish the relationship between water level and discharge. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.
SONG Yaoxuan, LIU Junfeng, YANG Yong, QING Wenwu, LIU Zhangwen, HAN Chuntan
1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2013 to December 31, 2013. 2. Data content: at 08:00, 14:00 and 20:00 every day, the flow rate and water level change of the outlet hydrological section of hulugou River Basin are regularly observed (the flow rate is measured by ls45a rotating cup type flow meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd., and the water level change is monitored in real time by hobo pressure type water level meter), the water level flow relationship is established, and the outlet flow of the river basin is calculated. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.
CHEN Rensheng, HAN Chuntan, SONG Yaoxuan
This data is SWAT scenario simulation data in the middle and upper reaches of Heihe River Basin. Scenarios include historical trend scenario (HT), ecological protection scenario (EP), strict ecological protection scenario (SEP), economic development scenario (ED) and rapid economic development scenario (red). Firstly, the dyna_clue model is used to simulate the land use change under different scenarios, and then the simulated land use map under different scenarios is imported into the SWAT model to simulate the daily and monthly runoff scenario data of the upstream outlet (Yingluo gorge) and the middle outlet (Zhengyi gorge) of the Heihe River Basin (assuming other conditions are the same). The period is 2011-2030. The data format is excel.
NAN Zhuotong, ZHANG Ling
In the transition zone from Heihe River to desert oasis in Pingchuan oasis of Linze, soil texture, bulk density, field capacity, saturated capacity, soil organic matter, total nitrogen and inorganic carbon content of 118 plots were studied. PH value, conductivity, total carbon, SiC, C / N were monitored to determine the physical and chemical properties of 0-20cm arable soil, and the soil particle composition of 0-20cm and 20-80cm soil layers.
SU Yongzhong
In the transition zone from Heihe River to desert oasis in Pingchuan oasis of Linze, soil texture, bulk density, field capacity, saturated water capacity, soil organic matter, total nitrogen and inorganic carbon content were studied. PH value, electrical conductivity, total carbon, SiC and C / N were monitored to determine the physical and chemical properties of 0-20cm topsoil and the soil particle size composition of 0-20cm and 20-80cm soil layers. According to the soil properties of five different soil in cotton field, cotton irrigation experiment was carried out: irrigation amount, seed cotton yield, straw parameters, lint percentage, coat index, seed index, single boll weight, flower rate before frost, unit boll number, single boll weight, irrigation water productivity, etc.
SU Yongzhong
The data is a dataset of rivers in the Tarim River Basin. It is revised according to topographic maps and TM remote sensing images. The scale is 250,000. The data includes spatial data and attribute data. The attribute data fields are: HYD_CODE (river code), Name (river name), SHAPE_leng ( River length).
National Basic Geographic Information Center
The data is the boundary distribution map of the Tarim River Basin with a scale of 250,000. Projection: latitude and longitude. This data include spatial data and attribute data of the Tarim River Basin sub-watershed. The attribute data fields are: Area (area), Perimeter (perimeter), WRRNM (watershed name), WRRCD ( watershed coding)
WU Lizong
Shule River Basin is one of the three inland river basins in Hexi corridor. In recent years, with the obvious change of climate and the aggravation of human activities, the shortage of water resources and the problem of ecological environment in Shule River Basin have become increasingly prominent. It is of great significance to study the runoff change of Shule River Basin in the future climate situation for making rational water resources planning and ecological environment protection. The data is the reservoir distribution data set of Shule River Basin, which is comprehensively prepared by topographic map and remote sensing image, scale 250000, projection: longitude and latitude, data including spatial data and attribute data, attribute field: name (reservoir name), reflecting the current distribution of water reservoirs in Shule River Basin in 2000. Collect and sort out the basic, meteorological, topographical and geomorphic data of Shule River Basin, and provide data support for the management of Shule River Basin.
Shule River Basin is one of the three inland river basins in Hexi corridor. In recent years, with the obvious change of climate and the aggravation of human activities, the shortage of water resources and the problem of ecological environment in Shule River Basin have become increasingly prominent. It is of great significance to study the runoff change of Shule River Basin in the future climate situation for making rational water resources planning and ecological environment protection The data is river data set of Shule River Basin, revised according to topographic map and TM remote sensing image, with a scale of 250000. The data includes spatial data and attribute data, and attribute data fields: HYD CODE (River code), Name (river name) and SHAPE Leng (river length). Collect and sort out the basic, meteorological, topographical and geomorphic data of Shule River Basin, and provide data support for the management of Shule River Basin.
National Basic Geographic Information Center
The dataset is a lake distribution map of Tarim River Basin, with a scale of 250000, projection: latitude and longitude, data including spatial data and attribute data, and lake attribute fields: NAME (name of lake) and CODE (lake code)
National Basic Geographic Information Center
Shule River Basin is one of the three inland river basins in Hexi corridor. In recent years, with the obvious change of climate and the aggravation of human activities, the shortage of water resources and the problem of ecological environment in Shule River Basin have become increasingly prominent. It is of great significance to study the runoff change of Shule River Basin in the future climate situation for making rational water resources planning and ecological environment protection. The data set is the distribution map of lakes in Shule River Basin, with a scale of 250000. The data includes spatial data and attribute data. The attribute fields of lakes are name and code. Collect and sort out the basic, meteorological, topographical and geomorphic data of Shule River Basin, and provide data support for the management of Shule River Basin.
The content is the daily runoff observation record of the outlet weir of the Pailugou basin. The spatial range of Pailugou: 38.529-38.558N, 100.286-100.536E. Data dates include May 1, 2013 to September 5, 2013. The unit is m3/day.
HE Zhibin
1、 Data overview: use solinst leveloger automatic water level gauge to observe river water level, calculate flow data through water level flow curve, and manually observe the flow through self-made flow weir (see thumbnail). Due to the limited amount of manual observation data, further supplementary observation is needed to improve the water level discharge curve. 2、 Data content: we manually observe the water level and flow data of the two sections. The first section: the exit of area III divided by Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, the boundary point between cold desert zone and cold meadow zone, where the valley is deep and the bedrock is exposed. Coordinates of observation points (99 ° 53 ′ 37 ″ e, 38 ° 13 ′ 34 ″ n). The observation period is from July 21, 2012 to May 6, 2013. The observation frequency of automatic observation data is 1 time / 30 minutes from July 21 to July 25, 2012. 1 time / 15 minutes from July 25, 2012 to May 6, 2013. After September 15, 2012, there was an error in the automatic monitoring data of the observation point. The reason may be that the flow of the river channel became smaller, the probe was exposed to the air, and the water level gauge could not correctly reflect the change of the flow of the river channel. At the same time, the temperature decreased after September, and the river channel froze in winter. There was no automatic monitoring flow data during this period. The second section: the exit of No.2 area divided by Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, with flat terrain, is located at the catchment of the outlet of the alluvial delta Valley, and the south side is the shrub area. A small flow weir is built. The observation point coordinates (99 ° 52 ′ 58 ″ e, 38 ° 14 ′ 36 ″ n), and the observation frequency of automatic observation data is 1 time / 15 minutes. The observation period is from July 21, 2012 to May 6, 2013. After the observation point entered September, the river flow gradually decreased and there was no water in the river. At this time, the reading of water level gauge can not correctly reflect the change of river discharge. At the same time, our field experience shows that from September to May of the next year, the observation point is basically in a state of no water.
SUN Ziyong, YU Linan
The dataset is the distribution map of lakes in Qinghai Lake Basin. The projection is latitude and longitude. The data includes the spatial distribution data and attribute data of the lake. The attribute fields of the lake are: NAME (lake name), CODE (lake code).
WU Lizong
The runoff record of Pailugou watershed in the upper reaches of Heihe River, dated from January 2011 to September 2012. The data measuring device is the measuring weir at the exit of the small watershed, the unit of the data is m³/day.
HE Zhibin
The data is the river dataset of Qinghai Lake Basin. It is revised according to the topographic map and TM remote sensing image. The scale is 250,000. The projected latitude and longitude. The data includes spatial data and attribute data. The attribute data fields are: HYD_CODE (river code), Name (river name), SHAPE_leng ( River length).
National Basic Geographic Information Center
The data is the river dataset of the north slope of Tianshan River Basin. It is revised according to the topographic map and TM remote sensing image. The scale is 250,000, and the projection is latitude and longitude. The data includes spatial data and attribute data, attribute data fields: HYD_CODE (river code), Name (river name), SHAPE_ leng (river length).The data includes spatial data and attribute data. , SHAPE_leng (river length).
National Basic Geographic Information Center
The dataset is a lake distribution map of the north slope of Tianshan Mountain Basin, with a scale of 250,000. The projection is latitude and longitude. The data includes spatial data and attribute data. The attribute fields of the lake are NAME (name of the lake) and CODE (lake code).
National Basic Geographic Information Center
The data is river data set of the qaidam river basin, revised according to topographic map and TM remote sensing image, scale 250000, projected longitude and latitude, data including spatial data and attribute data, attribute data fields: HYD_CODE (river code), Name (river Name), SHAPE_leng (river length).
National Basic Geographic Information Center
This data is from the central station of environmental monitoring in gansu province. The data includes three observation elements that are disclosed on the network, namely PH, permanganate index and ammonia nitrogen. The data format is a text file. The first column is the city name, the second column is PH, the third column is permanganate index, the fourth column is ammonia nitrogen, and the fifth column is the observation date. The data include 6 sections of gushuizi, niubei village, wufo temple, shichuan bridge, xincheng bridge and bikou. Gansu section of the Yellow River: xincheng bridge (lanzhou upstream section), shichuan bridge (lanzhou - baiyin junction section), wufo temple (gansu-ningxia junction section), niubei village (gansu-shaanxi junction section).Bailong river wudu section :(section of gushuizi village). Lanzhou city bridge automatic water quality monitoring station is located in xigu district, lanzhou city, gansu province.Point coordinates 103 degrees 35 minutes 02 seconds east longitude, 36 degrees 07 minutes 20 seconds north latitude.Yellow River system (Yellow River main stream), state - controlled provincial boundary section.By lanzhou city environmental monitoring station custody.It's 35 kilometers away.Built in March 2001. PH: the index that characterizes the acidity and alkalinity of water. When the pH value is 7, it is neutral, less than 7 is acidic, and greater than 7 is alkaline.The pH value of natural surface water is generally between 6 and 9. When algae grow in the water, they absorb carbon dioxide due to photosynthesis, resulting in an increase in surface pH value. Permanganate index (CODMn) : the amount consumed when treating surface water samples with potassium permanganate as the oxidant, expressed as mg/L of oxygen.Under these conditions, reductive inorganic substances (ferrous salts, sulphides, etc.) and organic pollutants in water can consume potassium permanganate, which is often used as a comprehensive indicator of the degree of surface water pollution by organic pollutants.Also known as the chemical oxygen demand potassium permanganate method, as distinct from the chemical oxygen demand (COD) of the potassium dichromate method, which is often used to monitor wastewater discharge. Ammonia nitrogen (nh3-n) : ammonia nitrogen exists in water in the form of dissolved ammonia (also known as free ammonia, NH3) and ammonium salt (NH4+). The ratio of the two depends on the pH value and water temperature of the water, and the content of ammonia nitrogen is expressed by the amount of N element.The main sources of ammonia nitrogen in the water are domestic sewage and some industrial wastewater (such as coking and ammonia synthesis industry) and surface runoff (mainly refers to the fertilizer used in farmland entering rivers, lakes, etc.). This data will be updated automatically and continuously according to the data source.
Gansu environmental monitoring center station
The data set is the lake distribution map of the qaidam river basin, with a scale of 250,000, projection: longitude and latitude, data including spatial data and attribute data, lake attribute fields: NAME (NAME of the lake), CODE (CODE of the lake).
National Basic Geographic Information Center
The dataset of runoff plot observations was obtained in the Binggou watershed foci experimental area from Jun. 19 to Oct. 17, 2008. The runoff plot (38°03′, 100°13′, 3472m, with a slope of 20.16°) was 10m long, 5m wide and 80cm deep, with soil depth about 50cm and sandy clay and gravels beneath (50-80cm). The main vegetation type is scrub (about 20cm high) and grass (about 3cm high). Observation items included the surface flow, interflow (80cm down the land surface), and precipitation at a fixed point at the right of the runoff plot. One subfolder and two data files (directions on data observations and raw data) were archived.
LI Hongyi, LI Zhe, BAI Yunjie, XIN Bingjie
The dataset of runoff measuring weir observations at the hydrological section was obtained in the Pailugou watershed foci experiment area during two full years from Oct. 2006 to Oct. 2008. The ice flow measurement and the container aet were used manually. The measurement was carried out every five days from Oct. 2006 to Apr. 2007, three times a day from May to Sep. 2007, every five days from Oct. 2007 to Apr. 2008, once a day from May to Sep. 2008, and every five days during Oct. 2008. Data were archived in Excel format.
WANG Shunli, LUO Longfa, JING Wenmao, WANG Rongxin, ZHANG Xuelong, NIU Yun
The dataset of regimen change statistics was obtained at the hydrological section of the Dayekou watershed reservoir from Jan. 1, 2007 to May 23, 2008. Ten days observations were carried out from Oct. 21, 2007 to Apr. 11, 2008, and diurnal observations from Apr. 15 to Oct. 21, 2007, and from Apr. 16 to May 23, 2008. Data record fields included: inflow (m^3/s), water level (m), impoundment (ten thousand m^3/s), outflow (m^3/s), ten days mean inflow (m^3/s), ten days mean outflow (m^3/s), monthly mean inflow (m^3/s), and monthly mean outflow (m^3/s).
MA Mingguo
The dataset of dewfall measurements was obtained in the Linze station foci experimental area from 6 am to 7am and 7pm to 10pm. Two containers were used. One was the unsealed rectangle plastic condensate drain pan from May 26 to Jul. 28, 2008 (one time-continuous observation from Jun. 25 to 27 at intervals of 2 hours), and the other was the sealed and unsealed aluminum cases from Jun. 24 to Jul. 29, 2008 (two time-continuous observations from Jun. 25 to 27 and Jul. 19 to 20, respectively, both at intervals of 2 hours). Dewfall was weighed by G&G TC30K- H scales (accuracy: 1g) for the condensate drain pan and by electronic scales (accuracy: 0.1g) for the aluminum case.
BAI Yanfen, DING Songchuang, HAO Xiaohua, Qian Jinbo, SHU Lele, SONG Yi, WANG Yang, XU Zhen, ZHU Shijie
The observation frequency is 1 time / 30 minutes with hobo automatic temperature recorder. No. 01: the observation point is located at the exit of zone III divided by Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, and the boundary point between the cold desert zone and the cold meadow zone. The coordinates of the observation point (99 ° 53 ′ 37 ″ e, 38 ° 13 ′ 34 ″ n) are 100cm from the surface of the air temperature recorder. The observation period is from July 28 to September 2, 2012. No. 02: the observation point is located at the exit of No. 2 area divided by Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, where the terrain is gentle, at the outlet of the alluvial delta valley where there is no other tributary flowing in. The observation point coordinates (99 ° 52 ′ 58 ″ e, 38 ° 14 ′ 36 ″ n) the temperature recorder in the air is 120cm from the ground surface. The observation period is from July 4, 2012 to September 6, 2012
SUN Ziyong, CHANG Qixin
This data set includes a monthly composite of 30 m × 30 m surface vegetation coverage products in the Qilian Mountain Area in 2019. In this paper, the maximum value composition (MVC) method is used to synthesize monthly NDVI products and calculate FVC by using the reflectance data of Landsat 8 and sentinel 2 red and near infrared channels. The data is monthly synthesized by Google Earth engine cloud platform, and the index is calculated by the model. The missing pixels are interpolated with good quality, which can be used in environmental change monitoring and other fields.
SUN Ziyong, CHANG Qixin
Data overview: This set of data mainly includes perennial River, seasonal river, river trunk, surface main channel, surface branch channel and other water system conditions in the Heihe River Basin. The data base year is 2009. Data preparation process: obtained from 1:100000 topographic map and 2009 TM remote sensing image digitization. Data content description: the data mainly has three important attributes, namely, grade, GB and name. The river classification is based on the Strahler classification method, and the final level of the main stream reaches seven levels. River coding is based on the national basic geographic information element dictionary. The standard of basic geographic information element data dictionary is adopted.
National Basic Geographic Information Center
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.
MA Mingguo
Reservoir refers to the artificial water area formed in valley, river or low-lying area by dam, dike, sluice, weir and other projects. It is the main measure used for runoff regulation to change the distribution process of natural water resources and plays an important role in social and economic development. Many reservoirs have been built in Heihe River Basin, which has an important impact on the utilization of water resources in this area. In order to facilitate the mapping needs of users, we use topographic map and remote sensing image to prepare the reservoir distribution map of the Heihe River Basin. The location and shape of the reservoir are mainly obtained by manual interpretation based on Google map image, which basically shows the current situation of the reservoir distribution in the Heihe River Basin around 2010.
National Basic Geographic Information Center
The data was compiled from "China's 1:100,000 wetland data". "China 1:100,000 wetland data" mainly reflects the information of marshes and wetlands throughout the country in the 2000s, and is represented by geographical coordinates in decimal scale. The main contents include: types of marshes and wetlands, types of water supply, types of soil, types of main vegetation, and geographical regions.The information classification and coding standard of China sustainable development information sharing system was implemented.Data source of this database: 1:20 swamp map (internal version), 1:500 000 swamp map (internal version) of qinghai-tibet plateau, 1:100 000 swamp survey data and 1:400 000 swamp map of China;The processing steps are as follows: data source selection, preprocessing, marshland element digitization and coding, data editing and processing, establishment of topological relationship, edge-to-edge processing, projection transformation, connection with attribute database such as geographical name and acquisition of attribute data.
ZHANG Shuqing
The 1:1 million wetland data of Guangdong Province (2000) is cut from the "1:1 million wetland data of China". "China 1:100,000 wetland data" mainly reflects the information of marshes and wetlands throughout the country in the 2000s, and is represented by geographical coordinates in decimal scale. The main contents include: types of marshes and wetlands, types of water supply, types of soil, types of main vegetation, and geographical regions.The information classification and coding standard of China sustainable development information sharing system was implemented.Data source of this database: 1:20 swamp map (internal version), 1:500 000 swamp map (internal version) of qinghai-tibet plateau, 1:100 000 swamp survey data and 1:400 000 swamp map of China;The processing steps are as follows: data source selection, preprocessing, marshland element digitization and coding, data editing and processing, establishment of topological relationship, edge-to-edge processing, projection transformation, connection with attribute database such as geographical name and acquisition of attribute data.
ZHANG Shuqing
In the mid-latitude region of Asia, the southeastern region is humid and affected by monsoon circulation (thus, it is referred to as the monsoon region), and the inland region is arid and controlled by the other circulation patterns (these areas include the cold and arid regions in the northern Tibetan Plateau, referred to as the westerly region). Based on the generalization of the climate change records published in recent years, the westerly region was humid in the mid-late Holocene, which was significantly different from the pattern of the Asian monsoon in the early-middle Holocene. In the past few millennia, the westerly region was arid during the Medieval Warm Period but relatively humid during the Little Ice Age. In contrast, the oxygen isotope records derived from a stalagmite in the Wanxiang Karst Cave showed that the monsoon precipitation was high in the Medieval Warm Period and low during the Little Ice Age. In the last century, especially in the last 50 years, the humidity of the arid regions in the northwest has increased, while the eastern areas of northwestern and northern China affected by the monsoon have become more arid. Moreover, in the northern and southern parts of the Tibetan Plateau, which are affected by the westerlies and the monsoon, respectively, the precipitation changes on the interdecadal and century scales have also shown an inverse phase. Based on these findings, we propose that the control zone of the westerly belt in central Asia has different humidity (precipitation) variation patterns than the monsoon region on every time scale (from millennial to interdecadal) in the modern interglacial period. The integrated research project on Holocene climate change in the arid and semi-arid regions of western China was a major research component of the project Environmental and Ecological Science for West China, which was funded by the National Natural Science Foundation of China. The leading executive of the project was Professor Fahu Chen from Lanzhou University. The project ran from January 2006 to December 2009. The data collected by the project include the following: 1. The integrate humidity data over the Holocene in the arid regions of Central-East Asia and 12 lakes (11000-0 cal yr BP): including Lake Van, Aral Sea, Issyk-Kul, Ulunguhai Lake, Bosten Lake, Barkol Lake, Bayan Nuur, Telmen Lake, Hovsgol Nuur, Juyan Lake, Gun Nuur and Hulun Nuur. 2. The integrated humidity data over the past millennium in the arid regions of Central-East Asia and at five research sites (1000-2000): including Aral Sea, Guliya, Bosten Lake, Sugan Lake, and the Badain Juran desert. Data format: excel table.
CHEN Fahu
This glacial lake inventory is supported by the International Centre for Integrated Mountain Development (ICIMOD) and the United Nations Environment Programme/Regional Resource Centre, Asia and The Pacific (UNEP/RRC-AP). 1. The glacial lake inventory incorporates topographic map data and reflects the status of glacial lakes in the region in 2000. 2. The spatial coverage of the glacial lake inventory is as follows: Pa Chu Sub-basin, Mo Chu Sub-basin, Thim Chu Sub-basin, Pho Chu Sub-basin, Mangde Chu Sub-basin, Chamkhar Chu Sub-basin, Kuri Chu Sub-basin, Dangme Chu Sub-basin, Northern Basin, etc. 3. The glacial lake inventory includes the following data fields: glacial lake code, glacial lake types, glacial lake orientation, glacial lake width, glacial lake area, glacial lake depth, glacial lake length, etc. 4. Data projection: Projection: Polyconic Ellipsoid: Everest (India 1956) Datum: Indian (India, Nepal) False easting: 2,743,196.4 False northing: 914,398.80 Central meridian: 90°0'00'' E Central parallel: 26°0'00'' N Scale factor: 0.998786 For a detailed description of the data, please refer to the data file and report.
International Centre for Integrated Mountain Development (ICIMOD)
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