This data is from the central station of environmental monitoring in gansu province. The data includes three observation elements, namely sulfur dioxide, nitrogen dioxide and inhalable particles, which are published on the network. The data format is a text file. The first column is the city name, the second column is sulfur dioxide, the third column is nitrogen dioxide, the fourth column is pm10, and the fifth column is the observation date. The data included lanzhou, jiayuguan, jinchang, baiyin, tianshui, qingyang, pingliang, dingxi, longnan, wuwei, zhangye, jiuquan and linxia. This data will be updated automatically and continuously according to the data source.
Gansu environmental monitoring center station
The data set records the air quality of Delingha and Golmud in Qinghai Province in 2020. The data were collected from the ecological environment bureau of Haixi Prefecture. The data set contains five data tables, which are: air quality statistics of Delingha and Golmud in Haixi Prefecture in March, April, may, June and July 2020, with the same structure. Each data table has 10 fields, such as the air quality statistics of Delingha and Golmud in June 2020 Field 1: Region Field 2: major pollutants Field 3: PM10 Concentration Field 4: PM2.5 concentration Field 5: SO2 concentration Field 6: NO2 concentration Field 7: ambient air quality composite index Field 8: effective monitoring days Field 9: Standard Days Field 10: percentage of days up to standard
Ecological Environment Bureau of Haixi Prefecture Qinghai Province
The data set records the monthly air quality monitoring reports of Hainan Prefecture in Qinghai Province in 2015 and 2017-2020. The data were collected from Hainan Ecological Environment Bureau. The data set contains four data tables, which are monthly air quality reports of Hainan in 2020.5, 2020.6, 2020.7 and 2020.8, with the same structure. It also contains 34 text files. Each data table has five fields, for example, Hainan air quality monthly report in May 2020: Field 1: ranking Field 2: Region Field 3: major pollutants Field 4: ambient air quality composite index The data records are divided into five counties: Guinan, guide, Tongde, Xinghai and Gonghe
Ecological Environment Bureau of Hainan Prefecture
The data set records the monthly air quality monitoring reports of Hainan Prefecture in Qinghai Province in 2015 and 2017-2020. The data were collected from Hainan Ecological Environment Bureau. The data set contains four data tables, which are monthly air quality reports of Hainan in 2020.5, 2020.6, 2020.7 and 2020.8, with the same structure. It also contains 34 text files. Each data table has five fields, for example, Hainan air quality monthly report in May 2020: Field 1: ranking Field 2: Region Field 3: major pollutants Field 4: ambient air quality composite index The data records are divided into five counties: Guinan, guide, Tongde, Xinghai and Gonghe
Ecological Environment Bureau of Hainan Prefecture
The data set records the ambient air quality of Xining, and the data statistics are from the Department of ecological environment of Qinghai Province. The data set includes one data table, which is the ambient air quality of Xining from 2007 to 2008, and the data table structure is the same. There are three fields in each data table Field 1: level Field 2: days Field 3: proportion of test days The classification of ambient air functional areas, standard classification, pollutant items, average time and concentration limits, monitoring methods, effectiveness provisions of data statistics, implementation and supervision in the data sheet are in line with the relevant provisions of the ambient air quality standard (gb3095-2012).
Department of Ecology and Environment of Qinghai Province
The data set records the air quality quarterly report of Xining in Qinghai Province from 2008 to 2016 (Qinghai environmental protection). The data is collected from the Department of ecological environment of Qinghai Province. The data set contains 20 PDF files, 4 data tables and 7 word documents, which are respectively: Qinghai environmental protection - Xining air quality quarterly report - the first quarter of 2012, Qinghai environmental protection - Xining air quality quarterly report - the second quarter of 2012, Qinghai environmental protection - Xining air quality quarterly report - the third quarter of 2012, Qinghai environmental protection - Xining air quality quarterly report - In the fourth quarter of 2012, the data table structure is the same. The data table contains three fields: Field 1: level Field 2: days Field 3: proportion in total monitoring days (%)
Department of Ecology and Environment of Qinghai Province
The data set records the monthly air quality report of Xining from 2018 to 2020 in Qinghai Province. The dataset contains 146 files, which are: Qinghai environmental protection - Xining air quality monthly report - January 2012, Qinghai environmental protection - Xining air quality monthly report - March 2012, Qinghai environmental protection - Xining air quality monthly report - April 2012, Qinghai environmental protection - Xining air quality monthly report - may 2012, Qinghai environmental protection - Xining air quality monthly report - June 2012, Qinghai environmental protection - Xining air quality monthly report - June 2012 Quality monthly report - July 2012, Qinghai environmental protection - Xining air quality monthly report - August 2012, Qinghai environmental protection - Xining air quality monthly report - September 2012, Qinghai environmental protection - Xining air quality monthly report - October 2012 Qinghai environmental protection - Xining air quality monthly report - June 2020, etc. The data provides the proportion of excellent days and the change of excellent days.
Department of Ecology and Environment of Qinghai Province
The data set records the public data of atmospheric environmental monitoring in Yushu city from July 2016 to June 2017. The data is collected from the ecological environment bureau of Yushu prefecture. The data set contains 11 documents, which are: atmospheric environment publicity of Yushu City in July 2016, atmospheric environment publicity of Yushu City in August 2016, atmospheric environment publicity of Yushu City in September 2016 Yushu City in June 2017 atmospheric environment publicity, etc. The data content includes: the total monitoring days, the total effective monitoring days, the proportion of grade I, the proportion of grade I to the total monitoring days, the proportion of grade II, the proportion of grade II to the total monitoring days, and the excellent and good rate of monthly air quality.
Ecological Environment Bureau of Yushu Prefecture
The data set records the monthly air quality report of Yushu prefecture (2017.7-2019.12). The data is collected from Yushu Ecological Environment Bureau, and the data set contains six files, which are: monitoring data report form of Yushu environmental monitoring station from January to December in 2019, monthly air quality report of Yushu, monthly air quality report of Yushu (July 2017), monthly air quality report of Yushu (August 2017), monthly air quality report of Yushu (September 2017) Yushu Monthly air quality report (October 2017). The data table contains 10 fields: Field 1: City Field 2: site name Field 3: time Field 4: sulfur dioxide μ g / m3 Field 5: PM10 μ g / m3 Field 6: nitrogen dioxide μ g / m3 Field 7: NOx μ g / m3 Field 8: PM2.5 μ g / m3 Field 9: carbon monoxide mg / m3 Field 10: ozone 8h μ g / m3
Ecological Environment Bureau of Yushu Prefecture
The ground-based observation dataset of aerosol optical properties over the Tibetan Plateau was obtained by continuous observation with a Cimel 318 sunphotometer, involving two stations: Qomolangma Station and Nam Co Station. These products have taken the process of cloud detection. The data cover the period from January 1, 2021 to December 31, 2021, and the time resolution is daily. The sunphotometer has eight observation channels from visible light to near infrared, and the central wavelengths are 340, 380, 440, 500, 670, 870, 940 and 1120 nm, respectively. The field of view angle of the instrument is 1.2°, and the sun tracking accuracy is 0.1°. Six bands of aerosol optical thickness can be obtained from direct solar radiation, and the accuracy is estimated to be 0.01-0.02. Finally, AERONET unified inversion algorithm was used to obtain the aerosol optical thickness, Ångström index, aerosol particle size distribution, single scattering albedo, phase function, complex refraction index and asymmetry factor.
CONG Zhiyuan
This data set includes grid emission inventories of sulfur dioxide, nitrogen oxides and PM2.5 in 2019 in China's third polar region (Tibet, Xinjiang, Yunnan and Qinghai). The emission inventory comes from the emission inventory database of the research group of Professor Wang Shuxiao of Tsinghua University. The emission inventory is processed into a 1km * 1km grid dataset by using ArcGIS software technology. The basic data of emission calculation is calculated by the emission factor method based on public data collection, satellite observation data and literature collection. The data are from the data of the National Bureau of statistics and the statistical yearbook of other industries, and its quality can be guaranteed. The data can be used for further study of climate and air quality in the third polar region.
WU Qingru
This dataset covers the 2017 sulfur dioxide, nitrogen oxides, PM2.5 emissions grid list of Pan-third polar regions (South Asia: Nepal, Bhutan, India, Pakistan, Bangladesh, Sri Lanka, Maldives; Central Asia: Turkistan, Kyrgyzstan, Uzbekistan, Tajikistan, Kazakhstan, Afghanistan; Josiah: Iran, Iraq, azerbaijan, Georgia, Armenia, Turkey, Syria, Jordan, Israel, Palestine, Saudi Arabia, yemen, bahrain, Qatar, Oman, united Arab emirates, Kuwait, Lebanon, Cyprus). The emission inventory is derived from the data set publicly available in IIASA network. By using ArcGIS software technology, the emission inventory is processed into a GRID data set of 50km*50km, whose quality can be guaranteed. The data can be used by modelers to further study climate and air quality in the third polar region.
WU Qingru
Due to the unique lifestyle of residents and single fuel source, the main fuel in the pastoral area of Qinghai Tibet Plateau is dried yak dung. Yak dung is collected in piles or moulded into dung cake, which is stored after air drying. When used for cooking and heating in residences, it is always burned in cast iron stove. The carbonaceous particles released by yak dung burning are almost the only black carbon aerosol emission source in the vast pastoral area besides motor vehicles. This data set was established by measuring the morphology, particle size and element composition of single particles emitted from yak dung combustion in typical pastoral areas of the Qinghai Tibet Plateau. The sampling sites included Dangxiong County in Naqu and Dazi County in Lhasa. The field sampling location were the chimney outlet of residential homes. The particles were collected on the polycarbonate filter membrane and analyzed in the laboratory by means of computer-controlled scanning electron microscope and X-ray energy spectrometer. The environmental single particles emitted from yak dung combustion in pastoral areas include soot aggregates, tar balls, heavy metals containing carbonaceous particles, mineral dust, and soluble salt particles. This data set includes the numer percentages, particle size and their shape factor (aspect ratio, roundness and form factor) of various types of particles with statistical significance, It is not only an effective supplement to the basic data of human activities affecting the atmospheric environment, but also has potential significance for evaluating their optical characteristics, radiation effects, health effects and environmental impact of local source carbonaceous aerosols on the plateau.
HU Tafeng, WU Feng, ZHU Chongshu, DAI Wenting, WANG Qiyuan, ZHANG Ningning
It includes the emission of SO2, NOx, VOCs, NH3, OC, EC, CO2, CH4 and Hg from biomass burning source, which can provide data for understanding the emission situation of the third polar region and input data for model simulation. The basic data is based on data collection, satellite observation, literature and other methods. The emission inventory of 3km * 3km biomass burning sources is established. The data in the work comes from the FAO, MODIS satellite data and scientific literature, and its quality can be guaranteed. The data can be used for further study of climate change and air quality in the third polar region.
WANG Shuxiao, FENG Xinbin
The data set contains the on-line monitoring data of air pollutants in Lhasa and Nyingchi, Tibet Autonomous Region. The sample collection time is from May to June and from September to October 2021. The data sampling points were located in Nagin campus of Tibet University in Lhasa, Tibet and Tibet agriculture and Animal Husbandry College in Nyingchi, Tibet. We set up a temporary environmental pollution monitoring station. Thermo Gas Analyzer, GRIMM Portable Aerosol Spectrometer, FMPS, AE-33 were used to monitor the concentration of air pollutants such as ozone (O3), nitrogen dioxide (NO2), particulate matter (PM), ultra-fine particulate matter (UFP) and black carbon (BC) online, Vantage Vue weather station was used to monitor temperature, humidity, air pressure and other meteorological data online. The abnormal values during the operation of the instrument have been deleted, and the time resolution of the data after calibration and cleaning is 1 hour. This data provides basic data for the comprehensive evaluation of the effects of air pollution on population health in Tibet.
GONG Jicheng
This data set includes the PM2.5 mass concentration of atmospheric aerosol particles at Southeast Tibet station, Ali station, mostag station, Everest station and Namuco station (unit: mm) μ g/m3）。 Aerosol PM2.5 fine particles refer to particles with aerodynamic equivalent diameter less than or equal to 2.5 microns in the ambient air. It can be suspended in the air for a long time, which has an important impact on air quality and visibility. The higher its concentration in the air, the more serious the air pollution. The concentration characteristic data of PM2.5 is output at the frequency of obtaining a set of data every 5 minutes, which can realize the analysis of aerosol mass concentration at different time scales such as hour, day and night, season and interannual, which provides the analysis of changes and influencing factors of aerosol mass concentration at different locations in the Qinghai Tibet plateau at different time scales, as well as the evaluation of local air quality, It provides important data support. This data is an update of the published data set of PM2.5 concentration of aerosol particles at different stations on the Qinghai Tibet Plateau (2018 and 2019).
WU Guangjian
The data set includes basic temperature, humidity and pressure wind meteorological elements, black carbon concentration, scattering coefficient, particle size spectrum data and chemical composition analysis. Automatic weather station can measure temperature, relative humidity, air pressure, wind direction, wind speed and accumulated precipitation. AE-33 black carbon meter (hereinafter referred to as AE-33) can online measure the concentration of black carbon aerosol in the 370nm, 470nm, 520nm, 590nm, 660nm, 880nm and 950nm bands of TSP (total suspended particulate matter) in the atmosphere, and the mass absorption cross sections used are 18.47, 14.54, 13.14, 11.58, 10.35, 7.77 and 7.19 m2/g respectively. The official observation period is from June 12, 2021 to August 31, 2021, with a time resolution of 1 minute. The table data has been processed subsequently and is hourly data. The Integrated Nephelometer can measure the scattering coefficient of PM2.5 in the atmosphere at 450nm, 550nm and 700nm on line. The official observation period is from June 12, 2021 to August 31, 2021, with a time resolution of 10 seconds. The table data has been processed subsequently and is hourly data. Aerodynamic Particle Size Spectrometer (hereinafter referred to as APS) can measure 0.5-20 in the atmosphere online μ The number concentration particle size distribution spectrum of particles within m (aerodynamic diameter) particle size range has 50 particle size channels. The official observation period is from June 12, 2021 to August 31, 2021, with a time resolution of 5 minutes. The table data has been processed subsequently and is hourly data. The scanning electromobility particle size spectrometer (SMPS) can measure the particle size distribution of 13.6-514 nm (Stokes diameter) in the atmosphere online; TSI 3752 Condensed Nucleus Particle Counter (CPC) is used to measure the number and concentration of particles. The official observation period is from June 29, 2021 to August 31, 2021, with a time resolution of 5 minutes. The table data has been processed subsequently and is hourly data. The domestic medium flow sampler was used to collect the 90mm diameter quartz filter membrane, water soaked quartz filter membrane and Teflon filter membrane of TSP particle size section. The samples can be used for the analysis of chemical components such as elemental carbon, organic carbon, water-soluble ions and metal elements. The sampling period is from June 23, 2021 to August 29, 2021. The sampling starts at 11:00 a.m. and takes 71 hours each time.
TIAN Pengfei, HUANG Jianping, ZHANG Lei, SHI Jinsen
This data-set contains the field measurements of meteorological parameters，trace gases, PM2. 5/PM10, particle number size distribution (12-530 nm), aerosol chemical composition (sulfate and nitrate in PM2.5) at Lulang and Xihai (29.8oN, 94.7oE, 3300 m a.s.l. and 36.9oN, 100.9oE, 3080 m a.s.l., respectively) in southeastern and northeastern part of Tibetan Plateau. The time period of this data-set is from April to May of 2021 and June of 2021. The data-set comes from two measurement campaigns in 2021. The mobile observation platform of Nanjing University, including various online measurement instruments, was used to conduct the field measurements. The data in this data-set is finalized data with the data correction according to the instruments calibration and data quality control based on the data closure research results between multiple instruments. The atmospheric components data, such as trace gases, PM2.5/PM10, particle number size distribution, aerosol chemical composition, are the observation data under actual atmospheric pressure conditions without pressure corrections. The data-set can be directly used to analyze the atmospheric physics and chemistry related scientific issues in the southeastern and northeastern part of the Tibetan Plateau. This data-set supplements the lack of field observation data related to the atmospheric environment in the northeastern part of the Tibetan Plateau.
NIE Wei, CHI Xuguang
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