基于数值模型的不确定性分析，将内蒙古自治区鄂尔多斯市纳林河二号煤矿作为研究对象，选择影响因子有渗透系数和贮水系数，具体操作是对影响因子逐一进行同比增大和减小的处理，进而通过预测煤层涌水量进行不确定性分析，数据来源：改变GMS数值模型中渗透系数和贮水系数，得到不同参数条件下的涌水量。\n
\n数据集包含纳林河二号煤矿对于影响因子处理结果表、贮水系数不同模式处理下涌水量计算、渗透系数不同模式处理下涌水量计算及敏感度系数计算表共4份数据。", "ds_source": "
室内数据分析，自主产生。", "ds_process_way": "
基于数值模型的不确定性分析，改变GMS数值模型(Groundwater Modeling System)中渗透系数和贮水系数，得到不同参数条件下的涌水量。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2021-02-01 00:00:00", "ds_acq_end_time": "2021-11-01 00:00:00", "ds_acq_place": "内蒙古自治区鄂尔多斯市", "ds_acq_lon_east": 106.71111111111111, "ds_acq_lat_south": 37.59, "ds_acq_lon_west": 111.45555555555556, "ds_acq_lat_north": 40.861111111111114, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 85258, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "34f52416-adf3-4b71-bcbe-94c7e37f720f.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "使用申明：“内蒙古纳林河二号矿与陕西大海则煤矿数值模拟模型的涌水量计算不确定性分析数据集”来源于国家重点研发计划《大型煤矿和有色矿矿井水高效利用技术与示范》（项目编号：2018YFC0406402）。", "ds_from_station": null, "organization_id": "4f9aad20-0a6f-4efd-9b8b-70cd10164ea3", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.UTCMW.db2126.2022", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2022-05-30 16:51:27", "last_updated": "2025-06-30 16:28:02", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.UTCMW.db2126.2022", "i18n": { "en": { "title": "Uncertainty analysis dataset for water inflow calculation of numerical simulation model of Nalinhe No.2 coal mine in Inner Mongolia (February November 2021)", "ds_format": "Excel", "ds_source": "
Indoor data analysis, independently generated.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
Based on uncertainty analysis using numerical models, Nalinhe No.2 Coal Mine in Ordos City, Inner Mongolia Autonomous Region is selected as the research object. The influencing factors include permeability coefficient and water storage coefficient. The specific operation is to increase and decrease the influencing factors one by one year-on-year, and then conduct uncertainty analysis by predicting the water inflow of coal seams. The data source is to change the permeability coefficient and water storage coefficient in the GMS numerical model to obtain the water inflow under different parameter conditions.\n
\nThe dataset contains four sets of data, including the results of the impact factor treatment for Nalinhe No.2 Coal Mine, the calculation of water inflow under different storage coefficient modes, the calculation of water inflow under different permeability coefficient modes, and the calculation of sensitivity coefficient.
", "ds_time_res": "日", "ds_acq_place": "Ordos City, Inner Mongolia Autonomous Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Uncertainty analysis based on numerical models, changing the permeability coefficient and water storage coefficient in the GMS numerical model (Groundwater Modeling System), to obtain the water inflow under different parameter conditions.", "ds_ref_instruction": "\r\nUsage statement: \"Uncertainty analysis dataset for water inflow calculation of numerical simulation models of Inner Mongolia Nalinhe No.2 Mine and Shaanxi Dahaize Coal Mine\" comes from the National Key Research and Development Program \"Efficient Utilization Technology and Demonstration of Mine Water in Large Coal Mines and Nonferrous Mines\" (Project No. 2018YFC0406402)." } }, "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, "ds_topic_tags": [ "贮水系数", "渗透系数", "涌水量" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "内蒙古自治区鄂尔多斯市" ], "ds_time_tags": [ 2021 ], "ds_contributors": [ { "true_name": "高瑞忠", "email": "ruizhonggao@qq.com", "work_for": "内蒙古农业大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "高瑞忠", "email": "ruizhonggao@qq.com", "work_for": "内蒙古农业大学", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@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" }