采煤沉陷对土壤水分、土壤酸碱性、碱解氮、有效磷、速效钾与有机质均有影响，其中土壤含水量的变化最为明显，pH 值略有增加但无明显变化，土壤肥力含量也有波动。煤炭开采造成土壤裂缝与沉陷，使土壤含水量下降，进而造成土壤碱性增强，裂缝破坏植被的根系生长和裂隙径流侵入使土壤肥力降低。通过对该煤矿矿井水供水现状的调查分析可知，该矿井正常涌水时井下排水量为35520 m3/d（含黄泥灌浆析出水量为960 m3/d），实际涌水量最大可达到52800 m3/d，而矿井水资源的利用率很低，因此让矿井水资源形成适应当地特定需求的综合利用方案。数据主要通过模拟计算每个用水点的需水量，对于每个用水点每日水量进行计算，并将每个构筑物出水水质进行模拟测算，最终制作了水量平衡图和高效利用途径。", "ds_source": "
模拟计测试算分析。", "ds_process_way": "
研究区工作人员以鄂尔多斯纳林河矿区的纳林河二号井田为研究区域，对表层土壤进行土壤样品的采集与制备，通过洛阳铲收集土样，送往中国矿业大学（北京）和康辉检测机构进行土壤样品的理化性质分析，加工处理过程如下：土壤样品采集、土壤物理指标的测试、土壤化学指标测试、NDVI模拟、数据处理。\n
\n本数据集是利用SPSS软件进行数据处理、Origin软件进行绘图处理、通过对历年遥感影像数据进行解译，对矿区生态质量风险的关键指标，进而对其开展监测与研究。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2019-10-01 00:00:00", "ds_acq_end_time": "2019-10-31 00:00:00", "ds_acq_place": "内蒙古自治区鄂尔多斯市纳林河矿区纳林河二号井田", "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": 155832, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "69b32235-9e6f-4e8e-8a4e-747ea2b898d6.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "使用申明：“内蒙古自治区鄂尔多斯市纳林河矿区纳林河二号井田表层土壤养分基本理化性质及NDVI数据集（2019年10月）”来源于国家重点研发计划《煤矿水文-地质-环境-生态智能监测技术》（项目编号：2018YFC0406404-1）。", "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.db2147.2022", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2022-05-31 08:47:06", "last_updated": "2025-06-30 16:28:35", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.UTCMW.db2147.2022", "i18n": { "en": { "title": "Basic physicochemical properties and NDVI dataset of surface soil nutrients in Nalinhe No.2 mine field, Nalinhe mining area, Ordos City, Inner Mongolia Autonomous Region (October 2019)", "ds_format": "Excel", "ds_source": "
Simulate testing and analysis.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
Coal mining subsidence has an impact on soil moisture, soil acidity and alkalinity, alkaline nitrogen, available phosphorus, available potassium, and organic matter. Among them, the change in soil moisture content is the most significant, with a slight increase in pH value but no significant change, and fluctuations in soil fertility content. Coal mining causes soil cracks and subsidence, leading to a decrease in soil moisture content and an increase in soil alkalinity. Cracks damage the root growth of vegetation and the infiltration of fissure runoff, resulting in a decrease in soil fertility. Through investigation and analysis of the current situation of water supply in the coal mine, it is known that the underground drainage volume during normal water inflow is 35520 m3/d (including 960 m3/d of yellow mud grouting precipitation water), and the actual water inflow can reach up to 52800 m3/d. However, the utilization rate of mine water resources is very low, so a comprehensive utilization plan that adapts to local specific needs is formed for mine water resources. The data is mainly calculated by simulating the water demand of each water point, calculating the daily water volume of each water point, and simulating the effluent quality of each structure. Finally, a water balance chart and efficient utilization approach are produced.
", "ds_time_res": "日", "ds_acq_place": "Narinhe No.2 well field, narinhe mining area, Ordos City, Inner Mongolia Autonomous Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The research area staff collected and prepared soil samples from the Nalin River No. 2 mine field in the Nalin River mining area of Ordos. The soil samples were collected using a Luoyang shovel and sent to China University of Mining and Technology (Beijing) and Kanghui Testing Institution for physical and chemical property analysis. The processing steps were as follows: soil sample collection, soil physical index testing, soil chemical index testing, NDVI simulation, and data processing.\n
\nThis dataset is processed using SPSS software, plotted using Origin software, and interpreted from historical remote sensing image data to monitor and study key indicators of ecological quality risks in mining areas.", "ds_ref_instruction": "The use statement: \"basic physical and chemical properties and NDVI data set of surface soil nutrients in No. 2 well field of nalinhe mining area, Ordos City, Inner Mongolia Autonomous Region (October 2019)\" comes from the national key research and development plan \"intelligent monitoring technology of coal mine hydrology geology environment ecology\" (Project No.: 2018yfc0406404-1)." } }, "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": [ "植被覆盖", "土壤水分", "土壤pH", "土壤有机质", "土壤养分" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "内蒙古自治区鄂尔多斯市纳林河矿区纳林河二号井田" ], "ds_time_tags": [ 2019 ], "ds_contributors": [ { "true_name": "张凯", "email": "zhangkai@cumtb.edu.cn", "work_for": "中国矿业大学（北京）", "country": "中国" }, { "true_name": "李晓楠", "email": "lxn1110@163.com", "work_for": "中国矿业大学（北京）", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张凯", "email": "zhangkai@cumtb.edu.cn", "work_for": "中国矿业大学（北京）", "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" }