{
    "created": "2026-05-19 16:09:07",
    "updated": "2026-06-10 10:00:46",
    "id": "e6b20cdd-17ca-4ec5-b8a6-50a09813ad03",
    "version": 2,
    "ds_topic": null,
    "title_cn": "青海省木里矿区冻土温度逐月变化数据集（2016.9-2025.8）",
    "title_en": "Data set on monthly changes of frozen soil temperature in Muli Kuangqu, Qinghai Province (2016.9-2025.8)",
    "ds_abstract": "<p>&emsp;&emsp;冻土是指温度低于或等于0℃且含有冰的土体或岩体，它对温度特别敏感，其物理力学性质会随温度的变化而产生显著变化。木里矿区位于祁连山南麓，长期无序开采造成地形破坏、冻土退化、水源涵养能力下降，成为全国生态环境问题突出区域。为了研究矸石山、矿坑对多年冻土的影响，布设了5个多年冻土地温孔，获取冻土地温的主要方法是埋设测温电缆，通过CR3000的数据采集功能获得测温电缆不同时间的阻值变化，利用标定系数和电阻值的对应关系计算出温度值。依据冻土对温度的敏感特征，地温的变化情况，能够结合其他要素分析出人类开采对冻土的稳定性的影响机理及程度以及生态修复对矸石山内多年冻土影响，从而来指导后期人类活动中的冻土保护措施及生态修复等相关工作。</p>",
    "ds_source": "<p>&emsp;&emsp;已有五个钻孔点位位于高寒矿区天然场地，新增五个钻孔地温分别为矿坑周围10m一个，30m一个，矸石山中心一个，山脚台阶处1个，矸石山旁天然场地一个。获取冻土地温的主要方法是埋设中国科学院西北生态环境资源研究院冰冻圈科学与冻土工程全国重点实验室制作的热敏电阻式温度传感器电缆，通过CR3000、RTB37的数据采集功能获得测温电缆不同时间的阻值变化，利用标定系数和电阻值的对应关系计算出温度值。</p>",
    "ds_process_way": "<p>&emsp;&emsp;通过CR3000、RTB37的数据采集功能获得测温电缆不同时间的阻值变化，利用标定系数和电阻值的对应关系计算出温度值。</p>",
    "ds_quality": "<p>&emsp;&emsp;测温电缆使用中国科学院西北生态环境资源研究院冰冻圈科学与冻土工程全国重点实验室制作的热敏电阻式温度传感器，数采设备使用CR3000及与西安工业大学联合研发的RTB37远传数采仪。传感器经过校正与标定，可精确到千分位，30年内具有较高可靠性。</p>",
    "ds_acq_start_time": "2016-09-01 00:00:00",
    "ds_acq_end_time": "2025-08-31 00:00:00",
    "ds_acq_place": "青海省海西州木里矿区、大通河盆地",
    "ds_acq_lon_east": 100.33527777777778,
    "ds_acq_lat_south": 37.73277777777778,
    "ds_acq_lon_west": 99.12694444444443,
    "ds_acq_lat_north": 38.1575,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 136239,
    "ds_files_count": 0,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "月",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "e6b20cdd-17ca-4ec5-b8a6-50a09813ad03.jpeg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": "",
    "organization_id": "5b99d600-008a-4069-8fc3-7adb9c3f2f8b",
    "ds_serv_man": "陈继",
    "ds_serv_phone": "13893199072",
    "ds_serv_mail": "chenji@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 0,
    "publish_time": "2026-06-10 10:03:30",
    "last_updated": "2026-06-10 10:03:30",
    "protected": false,
    "protected_to": "2027-08-20 00:00:00",
    "lang": "zh",
    "cstr": "",
    "i18n": {
        "en": {
            "title": "Data set on monthly changes of frozen soil temperature in Muli Kuangqu, Qinghai Province (2016.9-2025.8)",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp; &emsp; There are already five drilling points located in the natural site of the high-altitude mining area. The newly added five drilling points have ground temperatures of 10m and 30m around the mine, one in the center of the gangue mountain, one at the foot of the mountain steps, and one at the natural site next to the gangue mountain. The main method to obtain the ground temperature of frozen soil is to bury the thermistor temperature sensor cable produced by the National Key Laboratory of Cryosphere Science and Frozen Soil Engineering of the Northwest Institute of Ecological Environment and Resources, Chinese Academy of Sciences. The resistance changes of the temperature measurement cable at different times are obtained through the data acquisition function of CR3000 and RTB37, and the temperature value is calculated using the corresponding relationship between the calibration coefficient and the resistance value. </p>",
            "ds_quality": "<p>&emsp; &emsp; The temperature measuring cable uses the thermistor temperature sensor produced by the National Key Laboratory of Cryosphere Science and Frozen Soil Engineering of the Northwest Institute of Ecological Environment and Resources, Chinese Academy of Sciences, and the data acquisition equipment uses the CR3000 and the RTB37 remote data acquisition instrument jointly developed with Xi'an University of Technology. After calibration and calibration, the sensor can be accurate to the thousandth and has high reliability within 30 years. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp; &emsp; Frozen soil refers to soil or rock mass with a temperature lower than or equal to 0 ℃ and containing ice. It is particularly sensitive to temperature and its physical and mechanical properties will undergo significant changes with temperature. The Muli mining area is located at the southern foot of the Qilian Mountains. Long term disorderly mining has caused terrain damage, permafrost degradation, and decreased water conservation capacity, making it a prominent area of ecological and environmental problems in China. In order to study the impact of gangue hills and mines on permafrost, five permafrost soil temperature holes were set up. The main method of obtaining permafrost temperature is to bury temperature measurement cables, and obtain the resistance changes of temperature measurement cables at different times through the data acquisition function of CR3000. The temperature value is calculated using the corresponding relationship between calibration coefficients and resistance values. Based on the sensitive characteristics of frozen soil to temperature and the changes in ground temperature, combined with other factors, the impact mechanism and degree of human mining on the stability of frozen soil, as well as the impact of ecological restoration on permafrost in gangue mountains for many years, can be analyzed to guide later human activities such as frozen soil protection measures and ecological restoration. </p>",
            "ds_time_res": "",
            "ds_acq_place": "Muli Mining Area and Datong River Basin in Haixi Prefecture, Qinghai Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; &emsp; By using the data acquisition function of CR3000 and RTB37, the resistance changes of the temperature measuring cable at different times can be obtained, and the temperature value can be calculated using the corresponding relationship between the calibration coefficient and the resistance value. </p>",
            "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": [
        "冻土",
        "地温",
        "高寒矿区"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "3. 青海省木里矿区"
    ],
    "ds_time_tags": [
        2016,
        2017,
        2018,
        2019,
        2020,
        2021,
        2022,
        2023,
        2024,
        2025
    ],
    "ds_contributors": [
        {
            "true_name": "陈继",
            "email": "chenji@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "陈书峄",
            "email": "chenshuyi@nieer.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "马燊",
            "email": "2297526573@qq.com",
            "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": "陈继",
            "email": "chenji@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "陈书峄",
            "email": "chenshuyi@nieer.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "马燊",
            "email": "2297526573@qq.com",
            "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": "陈继",
            "email": "chenji@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": "冻土"
}