本数据集涉及新疆柳沟水库岸坡温度场和湿度场监测数据。主要包括监测断面的地温变化数据和湿度变化数据。\n
数据集的时间范围为：从2019年8月31日9:00至2019年12月3日13:00。本数据集的时间精度为1小时。空间范围涉及两个监测横断面，记录分别约17.3m×7.5m和3.5m×4.5m范围。由于不涉及三维空间坐标，因此不考虑此空间精度。其中温度探头采用冻土工程国家重点实验室“多点测温电缆”，其精度为±0.05℃。\n
温湿度计采用美国Decagon公司生产的5TM土壤温湿度传感器（图3）， 5TM使用运行频率为70 MHz的振荡器，通过测量土壤的介电常数来确定其体积含水量。传感器叉形探针上的热敏电阻测定土壤温度。\n
5TM通过使用电容/频域技术测量土壤（或其他介质）的介电常数来确定容积含水量（VWC）。信号过滤最小化盐度和纹理效应，使5TM在大多数土壤和无土介质中更加准确。", "ds_source": "
本数据集每小时为一组数据，内容涉及到库岸监测边坡的温度和湿度数据。其中前4行为系统信息，1，3，4行无实际意义，第2行为各传感器编号。第2行为各钻孔实际探头按距地面高度监测获得的地温或湿度数据。从第5行至最后一行即为各温度探测点测得的该处实时的温度或湿度数据。", "ds_process_way": "
测量所得。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2019-08-31 00:00:00", "ds_acq_end_time": "2019-12-03 00:00:00", "ds_acq_place": "新疆柳沟水库库岸边坡", "ds_acq_lon_east": 96.38333333333334, "ds_acq_lat_south": 34.333333333333336, "ds_acq_lon_west": 73.5, "ds_acq_lat_north": 49.166666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 4018188, "ds_files_count": 3, "ds_format": "", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "11a33687-4e06-4ca9-a346-8513daca2d1e.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "57a5e5a3-6fc5-43b5-a2ba-1f2ca54b7727", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-03-31 23:00:12", "last_updated": "2025-06-30 14:52:35", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB2829.2023", "i18n": { "en": { "title": "Monitoring Dataset of Temperature and Humidity Fields on the Slope of Liugou Reservoir Bank in Xinjiang (August 31, 2019- December 3, 2019)", "ds_format": "", "ds_source": "
This dataset consists of one set of data per hour, which involves monitoring the temperature and humidity data of the slope along the reservoir bank. The first four lines are system information, lines 1, 3, and 4 have no actual meaning, and the second line is the sensor numbers. The second line is the ground temperature or humidity data obtained by monitoring the actual probes of each borehole at a height above the ground. The real-time temperature or humidity data at each temperature detection point is measured from the 5th to the last row.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This dataset involves monitoring data of temperature and humidity fields on the bank slope of Liugou Reservoir in Xinjiang. It mainly includes monitoring the temperature change data and humidity change data of the cross-section.\n
The time range of the dataset is from 9:00 on August 31, 2019 to 1:00 on December 3, 2019. The time accuracy of this dataset is 1 hour. The spatial scope involves two monitoring cross-sections, with recorded ranges of approximately 17.3m × 7.5m and 3.5m × 4.5m, respectively. Since it does not involve three-dimensional spatial coordinates, this spatial accuracy is not considered. The temperature probe adopts the \"multipoint temperature measuring cable\" of State Key Laboratory of Frozen Soil Engineering, with an accuracy of ± 0.05 ℃.\n
The temperature and humidity meter uses the 5TM soil temperature and humidity sensor produced by Decagon Corporation in the United States (Figure 3). The 5TM uses an oscillator with an operating frequency of 70 MHz to determine the volumetric moisture content of the soil by measuring its dielectric constant. The thermistor on the fork shaped probe of the sensor measures the soil temperature.\n
5TM determines the volumetric water content (VWC) by measuring the dielectric constant of soil (or other media) using capacitance/frequency domain techniques. Signal filtering minimizes salinity and texture effects, making 5TM more accurate in most soils and soilless media.
", "ds_time_res": "日", "ds_acq_place": "Reservoir bank slope of Liugou Reservoir in Xinjiang", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Measured results.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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, "ds_topic_tags": [ "水库库岸边坡", "寒区", "湿度", "温度" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆柳沟水库" ], "ds_time_tags": [ 2019 ], "ds_contributors": [ { "true_name": "白瑞强", "email": "rqbai@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "白瑞强", "email": "rqbai@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "白瑞强", "email": "rqbai@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "其他" }