Brief Introduction: 青藏高原是世界屋脊、亚洲水塔,是地球第三极,是我国重要的生态安全屏障、战略资源储备基地,是中华民族特色文化的重要保护地。开展这次科学考察研究,揭示青藏高原环境变化机理,优化生态安全屏障体系,对推动青藏高原可持续发展、推进国家生态文明建设、促进全球生态环境保护将产生十分重要的影响。 开展第二次青藏科考,有助于解决我国及沿线国家共同面临的应对气候变化、生态环境等共性问题。从联合应对气候变化影响的角度来说,与沿线国家合作开展相关研究,有利于深化不同纬度气候系统的联动过程和机制的科学认识,增强我国及沿线国家在应对气候变化领域的话语权和相互间的合作。同时,开展第二次青藏科考,在推进“一带一路”建设进程中,对沿线区域的可持续发展态势进行研究,对其生态影响进行预测评估并提出科学合理政策建议,降低对沿线区域的生态影响,可以更加有效、有序、优质、科学地将“一带一路”沿线区域的经济发展与生态建设结合起来,从内在联系及机理上支撑应对全球气候变化政策的优化。另外,开展第二次青藏科考,我国将会在应对中亚大湖区资源环境及其它相关环境问题上有所作为,为全球治理提供科学创新的范式,树立“一带一路”环境区域治理大国形象。

Number of Datasets: 51

  • Precipitation observation data of Jaggang Snow Mountain (2016-2017)

    This is the precipitation observation data of the observation point in Jaggang Snow Mountain. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 14, 2016 to June 19, 2017. It is measured by automatic rain gauge and a piece of data is recorded every 60 minutes. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2019-09-15 0 2 View Details

  • Precipitation observation data on Taerma Township (2016-2017)

    This is the precipitation observation data of the observation point in Taerma Township. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 15, 2016 to August 17, 2017. It is measured by automatic rain gauge and a piece of data is recorded every 60 minutes. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2019-09-15 0 1 View Details

  • Water quality dataset of Gaacuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Gaacuo Lake. The data is observed on July1, 2017. The data is stored as an excel file.

    2019-09-15 0 5 View Details

  • Precipitation observation data of the Qiang-Tang Plateau (2017)

    This is the rain gauge precipitation observation data along Bange-Ali line in the Qiang-tang Plateau. It can be used to evaluate and improve the quality of satellite precipitation products, thereby improving the estimation accuracy of precipitation in the Qiangtang Plateau. The data is observed from June 19, 2016 to September 24, 2017. And a piece of data is recorded every 60 minutes. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2019-09-15 0 5 View Details

  • Water quality slope data of Co Ngoin Lake (2017)

    These are the water quality vertical slope data of Co Ngoin Lake obtained during the River and Lake Source Investigation from June to July in 2017. The main water quality observation data include dissolved oxygen, electrical conductivity, PH, water temperature and others.

    2019-09-15 0 3 View Details

  • Flow discharge observation data of Selincuo Lake’s inflow river - Boquzangbu (2017)

    This is the flow discharge observation data observed in the estuary of Boquzangbu, which is Selincuo Lake’s inflow river. It is measured by Flow Tracker portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed on August 16, 2017. The observation includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-09-15 0 0 View Details

  • Water quality dataset of Bamucuo (2017)

    This is the water quality data of the vertical profile of the observation point in Bamucuo Lake. The data is observed on July 11, 2017. The data is stored as an excel file.

    2019-09-15 0 3 View Details

  • Water quality dataset of Qixiangcuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Qixiangcuo Lake. There are two observation points. It is observed on July 4, 2017. The data is stored as an excel file.

    2019-09-15 0 5 View Details

  • Flux observation data of alizangbu, the inflow river of Selincuo (2017)

    The data set is the flux data of the Alizangbu lake inlet obtained using the HS-2 portable hydrological velocity and flow meter, which can be applied to the hydrological processes and other fields in the cold areas. The data were obtained on August 16, 2017, and the data include measurement time, location, water depth, velocity and flow rate. The data are stored as an excel file.

    2019-09-15 0 0 View Details

  • Flow discharge observation data of Zhaqu bridge in the upper Selincuo Lake’s inflow river Zhajiazangbu (2017)

    This is the flow discharge observation data of Zhaqu Bridge, which is in the upper Selincuo Lake’s inflow river Zhajiazangbu. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is acquired on August 14, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-09-15 0 0 View Details

  • Water quality dataset of Zigetangcuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Zigetangcuo Lake. The data is observed on July 8, 2017. The data is stored as an excel file.

    2019-09-15 0 9 View Details

  • Water quality data of the Selincuo Lake (2017)

    This data set includes the vertical profile water quality data from the observation point of Selincuo Lake. The data is observed on June 21, 2017 and June 22, 2017. The data is stored as an excel file.

    2019-09-15 0 8 View Details

  • Water quality multi-parameter dataset of Renqingxiubucuo Lake (2017)

    This is the water quality multi-parameter data set of Renqingxiubucuo Lake. It can be used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on September 1 2017. It was measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25 s. To ensure the data is continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-09-15 0 3 View Details

  • Slopes-Runoff observation dataset of Selincuo Basin (2017)

    This is the slopes-runoff observation data set in typical underlying surface runoff fields of Selincuo Basin. It can be used in Hydrologic Process in Cold Regions, Geocryology and other disciplinary areas. The underlying surface of the observation point is the typical alpine steppe. The data is observed on July 2, August 10, August 17, August 26, August 30, September 1, September 2, September 3, and September 4, 2017. The observation includes the rainfall time, rainfall duration, rainfall, average rainfall, runoff, and the runoff coefficient. The precipitation duration is accurate to minute, the precipitation observation is accurate to 0.1mm, and the runoff observation is converted to mm, which is accurate to 0.01mm.The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The data is stored as an excel file.

    2019-09-15 0 4 View Details

  • Water quality dataset of Saibucuo lake (2017)

    This is the water quality data of the vertical profile of the observation point in Saibucuo Lake. The data is observed on June 30, 2017. The data is stored as an excel file.

    2019-09-15 0 4 View Details

  • Water level observation data of Yarlung Zangbo River Basin (2017)

    This is the water level observation data measured by 6 water gauges. And the water gauges are separately located in the Yarlung Zangbo River Basin, which is Pangdaya River Bridge, its tributary Duoxiongzangbu, Saga Bridge, and Maquan River. The specific observation time and space are as follows. Pangdaya River Bridge From 16:03:56 August 23, 2017 to 01:03:56 September 4, 2017 Duoxiongzangbu From 22:01:33 August 24, 2017 to 22:01:33 September 6, 2017 Saga Bridge From 13:37:55 August 27, 2017 to 22:37:55 September 10, 2017 From 13:30:56 August 27, 2017 to 01:30:56 September 9, 2017 Maquan River From 19:28:17 August 28, 2017 to 01:28:17 September 12, 2017 From 19:35:50 August 28, 2017 to 01:35:50 September 11, 2017 It is measured by HOBO water gauge and a piece of data is recorded every 3 hours. The data is accurate to 3 digits after decimal point. Quality control includes eliminating the data when the sensor is not fully adapted to the soil environment and system errors caused by sensor failure. The data is stored as an excel file.

    2019-09-14 0 3 View Details

  • Water quality multi-parameter dataset of Mapam Yumco Lake (2017)

    This is the water quality multi-parameter data set of Mapam Yumco Lake during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data observed time is from September 4, 2017 to September 7, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-09-14 0 4 View Details

  • Water quality dataset of Pusaiercuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Pusaiercuo Lake. The data is observed on July 2, 2017. The data is stored as an excel file.

    2019-09-14 0 5 View Details

  • Temperature and conductivity data of Selincuo Lake (2017)

    This is the water quality data at depth of 2m, 15m, 18m, 28m, and 38m observed in Selincuo Lake from June to July, 2017. The data can be used in many fields, such as the physical and chemical properties of lakes and their climate response and lake environment changes.

    2019-09-14 0 2 View Details

  • Meteorological observation data of Kongque River Source (2012-2017)

    This data set includes the temperature, precipitation, relative humidity, wind speed, wind direction and other daily values in the observation point of Kongque River Source. The data is observed from July 2, 2012 to September 15, 2017. It is measured by automatic meteorological station (Onset Company) and a piece of data is recorded every 2 hours. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure.

    2019-09-14 0 3 View Details