神东煤炭基地1:50 000活鸡兔幅矿区水文地质图数据集
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http://datacite.lib.tsinghua.edu.cn/datacite/Resolution/Handler?doi=10.23650/data.d.2018.p7
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For this dataset of the 1:50 000 hydrogeological map of Huojitu, multiple methods such as remote sensing, surface survey, geophysical exploration, drilling exploration as well as hydrochemical isotope tests were applied for data acquisition. The remotely sensed data interpretation of 800 km2 area was successfully achieved in two phases, together with 377 surface survey points, 240 points of simultaneous-measurement of groundwater level during rain and dry seasons, 10 sets of pumping tests, 127 sets of water samples and 600 m of cumulative hydrogeological drilling footage. The level of water yield property of the Quaternary porous aquifer and the Cretaceous Luohe Formation porous fissure aquifer within the working area was refined in this dataset, filling the gap in hydrogeological information about the Jurassic Anding Formation and Zhiluo Formation. Meanwhile, secondary environmental geologic elements related to coal mining were added, and the unwatering zone of the shallow aquifer was successfully delineated for the first time. Furthermore, a groundwater circulation mode under the impact of coal mining was established, highlighting characteristics of hydrogeological survey in mine areas. This dataset provides normal support to plan, deploy and summarize hydrogeological survey in the mine areas, which is really important to guarantee national security in both energy resources and ecology.
本数据集针对活鸡兔(Huojitu)1:5万水文地质图开展数据采集工作,采用遥感(Remote Sensing)、地面调查、地球物理勘探(Geophysical Exploration)、钻探勘探以及水化学同位素测试(Hydrochemical Isotope Test)等多种技术手段。本次工作分两阶段完成了800平方千米区域的遥感解译,累计获取377个地面调查点数据、240组雨旱季同步地下水位监测数据、10组抽水试验(Pumping Test)数据、127组水样数据,水文地质钻探总进尺达600米。本数据集细化了研究区第四系(Quaternary)孔隙含水层与白垩系(Cretaceous)洛河组孔隙裂隙含水层的富水性分级,填补了侏罗系(Jurassic)安定组与直罗组的水文地质信息空白。同时新增了与煤矿开采相关的次生环境地质要素,并首次成功圈定了浅层含水层疏干带。此外,本数据集构建了煤矿开采影响下的地下水循环模式(Groundwater Circulation Mode),凸显了矿区水文地质调查的典型特征。本数据集可为矿区水文地质调查的规划、部署与总结工作提供规范支撑,对保障国家能源安全与生态安全均具有重要意义。
提供机构:
Geoscientific Data and Discovery Publishing
创建时间:
2019-01-07



