该数据集包含了2012年6月13日至11月24日的黑河中游径流加密观测中3号点的河流水位和流速观测数据。观测点位于甘肃省张掖市兰新铁路黑河桥，河道宽度50米。河床为砂砾石，断面稳定。观测点的经纬度是N39°2'33.08\"，E100°25'49.42\"，1443米。水位观测采用SR50超声测距仪，采集频率30分钟；剖面流量观测采用StreamPro 微型ADCP。数据说明包括以下部分：\n
\n水位观测：采用SR50超声测距仪，数据涵盖时间段6月14日至11月24日，观测频率30分钟，单位（cm）；\n
\n流量观测：通过最新技术手段ADCP监测流量，获取精确的水位流量曲线，依托水位过程观测获得径流量变化过程.。单位（m3 s-1）；\n
\n缺值数据统一采用字符串-6999表示。\n
\n多尺度观测试验或站点信息请参考Liu et al. (2016)，观测数据处理请参考He et al.(2016)。
", "ds_source": "观测点位于甘肃省张掖市兰新铁路黑河桥，河道宽度50米。河床为砂砾石，断面稳定。观测点的经纬度是N39°2'33.08\"，E100°25'49.42\"，1443米。
\n\n站点信息请参考Li et al. (2013)和Liu et al. (2018)。
\n", "ds_process_way": "水位观测采用SR50超声测距仪，采集频率30分钟；剖面流量观测采用StreamPro 微型ADCP。\n
\n数据说明包括以下部分：\n
\n水位观测：采用SR50超声测距仪，数据涵盖时间段6月14日至11月24日，观测频率30分钟，单位（cm）；\n
\n流量观测：通过最新技术手段ADCP监测流量，获取精确的水位流量曲线，依托水位过程观测获得径流量变化过程.。单位（m3 s-1）；\n
\n缺值数据统一采用字符串-6999表示。
", "ds_quality": "站点信息请参考Li et al. (2013)和Liu et al. (2018)。
", "ds_acq_start_time": "2012-06-14 00:00:00", "ds_acq_end_time": "2012-11-24 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 100.43305555555555, "ds_acq_lat_south": 39.04222222222222, "ds_acq_lon_west": 100.43277777777779, "ds_acq_lat_north": 39.04194444444444, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 189483, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "29a22a05-cb30-4812-9f34-9b427eb611be.png", "ds_thumb_from": 2, "ds_ref_way": "刘绍民，黑河生态水文遥感试验：非均匀下垫面地表蒸散发的多尺度观测试验-径流观测数据集（3号点-铁路桥-2012），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/ncdc.NIEER.db0032.2020", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-08-27 10:08:14", "last_updated": "2021-08-27 10:08:14", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1623", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing test: multi-scale observation test of surface evapotranspiration on non-uniform underlying surface - runoff observation data set (point 3 - Railway Bridge - 2012)", "ds_format": "", "ds_source": "The observation point is located at Heihe bridge of Lanxin railway in Zhangye City, Gansu Province, with a river width of 50m. The riverbed is sandy gravel with stable section. The longitude and latitude of the observation point are n39 ° 2'33.08 \", E100 ° 25'49.42\", 1443m\n
\nFor site information, please refer to Li et al. (2013) and Liu et al. (2018)
\n", "ds_quality": "For site information, please refer to Li et al. (2013) and Liu et al. (2018)
", "ds_ref_way": "", "ds_abstract": "The data set contains the observation data of river water level and velocity at point 3 in the intensive observation of runoff in the middle reaches of Heihe River from June 13 to November 24, 2012. The observation point is located at Heihe bridge of Lanxin railway in Zhangye City, Gansu Province, with a river width of 50m. The riverbed is sandy gravel with stable section. The longitude and latitude of the observation point are n39 ° 2'33.08 \", E100 ° 25'49.42\", 1443m. Sr50 ultrasonic rangefinder is used for water level observation, and the acquisition frequency is 30 minutes; Streampro micro ADCP is used for profile flow observation. The data description includes the following parts:\n
\nWater level observation: sr50 ultrasonic rangefinder is used. The data covers the time period from June 14 to November 24. The observation frequency is 30 minutes, unit (CM);\n
\nFlow observation: the flow is monitored by ADCP through the latest technical means to obtain accurate water level flow curve, and the runoff change process is obtained by relying on water level process observation. Unit (M3 s-1);\n
\nThe missing value data is uniformly represented by string - 6999.\n
\nFor multi-scale observation test or site information, please refer to Liu et al. (2016), and for observation data processing, please refer to he et al. (2016)
", "ds_time_res": "日", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Sr50 ultrasonic rangefinder is used for water level observation, and the acquisition frequency is 30 minutes; Streampro micro ADCP is used for profile flow observation.\n
\nThe data description includes the following parts:\n
\nWater level observation: sr50 ultrasonic rangefinder is used. The data covers the time period from June 14 to November 24. The observation frequency is 30 minutes, unit (CM);\n
\nFlow observation: the flow is monitored by ADCP through the latest technical means to obtain accurate water level flow curve, and the runoff change process is obtained by relying on water level process observation. Unit (M3 s-1);\n
\nThe missing value data is uniformly represented by string - 6999
", "ds_ref_instruction": " " } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "水文气象观测网", "径流量", "河川径流观测", "ADCP" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中游人工绿洲试验区", "3号点铁路桥", "黑河流域" ], "ds_time_tags": [ 2012 ], "ds_contributors": [ { "true_name": "刘绍民", "email": "smliu@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘绍民", "email": "smliu@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "徐自为", "email": "xuzw@bnu.edu.cn", "work_for": "北京师范大学地理学与遥感科学学院", "country": "中国" } ], "category": "水文" }