{
    "created": "2026-05-19 16:07:43",
    "updated": "2026-07-06 20:35:50",
    "id": "3f084d7b-04c6-44a5-b8e0-d3117877bdf4",
    "version": 3,
    "ds_topic": null,
    "title_cn": "高寒矿区阻水层改性重构技术试验数据集（2022-2025年）",
    "title_en": "Test data set of water blocking layer modification and reconstruction technology in alpine Kuangqu mining area (2022-2025)",
    "ds_abstract": "<p>&emsp;&emsp;由露天开采剥离物和煤矸石组成的土体，水分渗漏严重，在低温季节无法形成冻土。在距离煤矸石土体表层一定深度构建阻水层，以提高煤矸石土体的水源涵养能力。然而，由于缺乏相关重构阻水技术（构造）数据集，目前在青海木里矿区实施土壤重构技术存在较大的不确定性。本研究利用室内土柱入渗试验、模拟降雨试验得到构建阻水层后的煤矸石土体入渗率数据集，结合数学统计方法以及数学模型拟合与评估，得到在构建不同阻水层下的煤矸石土体的入渗数据集，并通过实地验证评价发现，煤矸石粉碎物级配=2:5:3(1~2mm、0.5~1mm、< 0.5mm)，煤矸石粉碎物容重控制为 1.60~1.75g/cm<sup>2</sup>，W-OH浓度为3.5~4.5%喷洒量为2.5~3.5L/m<sup>2</sup>，PAM播撒量为在压实后的煤矸石表面干撒0.05~0.07g/cm<sup>2</sup>范围内阻水效果最佳。</p>",
    "ds_source": "<p>&emsp;&emsp;室内土柱入渗试验：将不同煤矸石颗粒粒径（2~5 mm 、0.5~2 mm 、<0.5 mm），按不同质量配比。并利用环刀法测定不同处理下各基质的饱和含水量、毛管持水量和田间持水量。利用土柱入渗设备（马氏瓶、亚克力土柱、水分传感器、水势传感器及数据采集器）采集得到累积入渗量、入渗率。</p>\n<p>&emsp;&emsp;模拟降雨试验：结合青海木里矿区当地气象资料，利用野外便携式人工模拟降雨器（MSR-S20-W1100(1500)）对构建不同阻水层后的煤矸石坡面进行模拟降雨试验，采集计算得到初始产流时间、降雨入渗率、产流率、产沙率。</p>",
    "ds_process_way": "<p>&emsp;&emsp;（1）利用SPSS 25.0统计软件进行相关性性因素分析；\n<p>&emsp;&emsp;（2）利用Origin 2021软件进行对Green-Ampt机理模型、Philip模型、Kostiakov经验模型进行拟合，并计算得到均方根误差（RMSE）、平均绝对误差（MAE）、符合度指数（D）和决定系数（R2）；<p>&emsp;&emsp;（3）实验数据采用Microsoft Excel软件进行系统整理。</p>",
    "ds_quality": "<p>&emsp;&emsp;采用均方根误差（RMSE）、平均绝对误差（MAE）、符合度指数（D）和决定系数（R2）三个标准指标验证Philip模型、Kostiakov经验模型与实际数据之间的误差。利用入渗率、累计入渗量、阻水效应等验证不同阻水层的阻水效果。结果表明，煤矸石粉碎物级配=2:5:3(1~2mm、0.5~1mm、< 0.5mm)，煤矸石粉碎物容重控制为1.60~1.75g/cm<sup>2</sup>，W-OH浓度为3.5~4.5%喷洒量为2.5~3.5L/m<sup>2</sup>，PAM播撒量为在压实后的煤矸石表面干撒0.05~0.07g/cm<sup>2</sup>范围内阻水效果最佳。</p>",
    "ds_acq_start_time": "2022-09-01 00:00:00",
    "ds_acq_end_time": "2025-06-11 00:00:00",
    "ds_acq_place": "中国，青藏木里矿区",
    "ds_acq_lon_east": 99.12277777777777,
    "ds_acq_lat_south": 38.12277777777778,
    "ds_acq_lon_west": 99.12555555555555,
    "ds_acq_lat_north": 38.14111111111111,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 22891850,
    "ds_files_count": 0,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "日",
    "ds_coordinate": "无",
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    "ds_thumbnail": "3f084d7b-04c6-44a5-b8e0-d3117877bdf4.png",
    "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": "杨海龙",
    "ds_serv_phone": "13911040827.0",
    "ds_serv_mail": "yang_hlong@163.com",
    "doi_value": "",
    "subject_codes": [
        "170.4599"
    ],
    "quality_level": 0,
    "publish_time": "2026-07-06 11:17:18",
    "last_updated": "2026-07-06 11:17:57",
    "protected": false,
    "protected_to": "2027-10-01 00:00:00",
    "lang": "zh",
    "cstr": "",
    "i18n": {
        "en": {
            "title": "Test data set of water blocking layer modification and reconstruction technology in alpine Kuangqu mining area (2022-2025)",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp; &emsp; Indoor soil column infiltration test: Different coal gangue particle sizes (2-5 mm, 0.5~2 mm,<0.5 mm) are mixed according to different mass ratios. And use the ring knife method to determine the saturated moisture content, capillary water holding capacity, and field water holding capacity of each substrate under different treatments. Collect the cumulative infiltration amount and infiltration rate using soil column infiltration equipment (such as Markov bottles, acrylic soil columns, moisture sensors, water potential sensors, and data collectors). </p>",
            "ds_quality": "<p>&emsp;&emsp;Three standard indicators: root-mean-square error (RMSE), mean absolute error (MAE), coincidence index (D) and coefficient of determination (R2) were used to verify the errors between Philip's model, Kostiakov's empirical model and actual data. The water blocking effects of different water blocking layers are verified by using infiltration rate, cumulative infiltration volume, and water blocking effect. The results show that the gradation of coal gangue crushed matter is 2:5:3(1~2mm, 0.5~1mm,&lt;0.5 mm), the bulk weight of coal gangue crushed matter is controlled to be 1.60~ 1.75 g/<sup>cm2</sup>, the W-OH concentration is 3.5~4.5%, the spraying amount is 2.5~ 3.5 L/<sup>m2</sup>, and the PAM sowing amount is dry sprinkled on the surface of the compacted coal gangue in the range of 0.05~ 0.07 g/<sup>cm2</sup>, the best effect of resisting water is achieved. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;&emsp;Soil composed of strip materials from open-pit mining and coal gangue has serious water leakage and frozen soil cannot be formed in the low temperature season. Build a water blocking layer at a certain depth away from the surface layer of the coal gangue soil to improve the water conservation capacity of the coal gangue soil. However, due to the lack of relevant reconstruction water blocking technology (structure) data sets, there is great uncertainty in the current implementation of soil reconstruction technology in Muli Kuangqu, Qinghai. In this study, indoor soil column infiltration test and simulated rainfall test were used to obtain a data set on the infiltration rate of coal gangue soil after the construction of water-blocking layers. Combined with mathematical statistical methods and mathematical model fitting and evaluation, the infiltration data set of coal gangue soil under the construction of different water-blocking layers was obtained. Through on-site verification and evaluation, it was found that the gradation of coal gangue crushed matter was 2:5:3(1~2mm, 0.5~1mm,&lt;0.5 mm), the bulk weight of coal gangue crushed matter was controlled to be 1.60~ 1.75 g/<sup>cm2</sup>, the W-OH concentration was 3.5~4.5%, the spraying amount was 2.5~ 3.5 L/<sup>m2</sup>, and the PAM sowing amount was that dry spraying on the surface of the compacted coal gangue rock had the best effect on the range of 0.05~ 0.07 g/<sup>cm2</sup>. </p>",
            "ds_time_res": "",
            "ds_acq_place": "China, Qinghai Tibet Muli Mining Area",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;(1) Use SPSS25.0 statistical software to conduct correlation factor analysis;\r\n<p>&emsp;&emsp;(2) Use Origin 2021 software to fit the Green-Ampt mechanism model, Philip model, and Kostiakov empirical model, and calculate the root mean square error (RMSE), mean absolute error (MAE), coincidence index (D) and coefficient of determination (R2);<p>&emsp;&emsp;(3) The experimental data were systematically organized using Microsoft Excel software. </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": [
        "煤矸石",
        "入渗率",
        "阻水层"
    ],
    "ds_subject_tags": [
        "地理学其他学科"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国",
        "青藏木里矿区"
    ],
    "ds_time_tags": [
        2022,
        2023,
        2024,
        2025
    ],
    "ds_contributors": [
        {
            "true_name": "杨海龙",
            "email": "yang_hlong@163.com",
            "work_for": "北京林业大学",
            "country": "中国"
        },
        {
            "true_name": "鲁长金",
            "email": "3357136355@qq.com",
            "work_for": "北京林业大学",
            "country": "中国"
        },
        {
            "true_name": "尹文天",
            "email": "yinwentian0912@163.com",
            "work_for": "北京林业大学",
            "country": "中国"
        },
        {
            "true_name": "武淼辰",
            "email": "1052174355@qq.com",
            "work_for": "北京林业大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "杨海龙",
            "email": "yang_hlong@163.com",
            "work_for": "北京林业大学",
            "country": "中国"
        },
        {
            "true_name": "鲁长金",
            "email": "3357136355@qq.com",
            "work_for": "北京林业大学",
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        {
            "true_name": "尹文天",
            "email": "yinwentian0912@163.com",
            "work_for": "北京林业大学",
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        },
        {
            "true_name": "武淼辰",
            "email": "1052174355@qq.com",
            "work_for": "北京林业大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "杨海龙",
            "email": "yang_hlong@163.com",
            "work_for": "北京林业大学",
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        {
            "true_name": "鲁长金",
            "email": "3357136355@qq.com",
            "work_for": "北京林业大学",
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        },
        {
            "true_name": "尹文天",
            "email": "yinwentian0912@163.com",
            "work_for": "北京林业大学",
            "country": "中国"
        },
        {
            "true_name": "武淼辰",
            "email": "1052174355@qq.com",
            "work_for": "北京林业大学",
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    ],
    "category": "其他"
}