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Establishment of water source discrimination model in coal mine by using hydrogeochemistry and statistical analysis: a case study from Renlou Coal Mine in northern Anhui Province, China 被引量:5
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作者 SUN Lin-hua GUI He-rong 《Journal of Coal Science & Engineering(China)》 2012年第4期385-389,共5页
关键词 多元统计分析 任楼煤矿 判别模型 安徽省 水源 水文 中国 数据收集
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The use of hydrogeochemical analyses and multivariate statistics for the characterization of thermal springs in the Constantine area, Northeastern Algeria 被引量:3
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作者 Riad Kouadra Abdeslam Demdoum +1 位作者 Nabil Chabour Rebiha Benchikh 《Acta Geochimica》 EI CAS CSCD 2019年第2期292-306,共15页
This paper deals with the results of a hydrogeochemistry study on the thermal waters of the Constantine area, Northeastern Algeria, using geochemical and statistical tools. The samples were collected in December2016 f... This paper deals with the results of a hydrogeochemistry study on the thermal waters of the Constantine area, Northeastern Algeria, using geochemical and statistical tools. The samples were collected in December2016 from twelve hot springs and were analyzed for physicochemical parameters(electric conductivity, p H,total dissolved solids, temperature, Ca, Mg, Na, K, HCO_3,Cl, SO_4, and SiO_2). The waters of the thermal springs have temperatures varying from 28 to 51 °C and electric conductivity values ranging from 853 to 5630 l S/cm. Q-mode Cluster analysis resulted in the determination of two major water types: a Ca–HCO_3–SO_4 type with a moderate salinity and a Na–K–Cl type with high salinity. The plot of the major ions versus the saturation indices suggested that the hydrogeochemistry of thermal groundwater is mainly controlled by dissolution/precipitation of carbonate minerals, dissolution of evaporite minerals(halite and gypsum), and ion exchange of Ca(and/or Mg) by Na. The Gibbs diagram shows that evaporation is another factor playing a minor role. Principal Component Analysis produced three significant factors which have 88.2% of totalvariance that illustrate the main processes controlling the chemistry of groundwaters, which are respectively: the dissolution of evaporite minerals(halite and gypsum), ion exchange, and dissolution/precipitation of carbonate minerals. The subsurface reservoir temperatures were calculated using different cation and silica geothermometers and gave temperatures ranging between 17 and 279 °C. The Na–K and Na–K-Ca geothermometers provided high temperatures(up to 279 °C), whereas, estimated geotemperatures from K/Mg geothermometers were the lowest(17–53 °C). Silica geothermometers gave the most reasonable temperature estimate of the subsurface waters overlap between 20 and 58 °C, which indicate possible mixing with cooler Mg groundwaters indicated by the Na–K–Mg plot in the immature water field and in silica and chloride mixing models. The results of stable isotope analyses(δ^(18) O and δ~2 H) suggest that the origin of thermal water recharge is precipitation, which recharged from a higher altitude(600–1200 m) and infiltrated through deep faults and fractures in carbonate formations. They circulate at an estimated depth that does not exceed 2 km and are heated by a high conductive heat flow before rising to the surface through faults that acted as hydrothermal conduits.During their ascent to the surface, they are subjected to various physical and chemical changes such as cooling by conduction and change in their chemical constituents due to the mixing with cold groundwaters. 展开更多
关键词 hydrogeochemistry Thermal waters-multivariate statistical analysis Silica geothermometers MIXING models Cold groundwaterS
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多元统计分析模型在矿井突水水源判别中的应用 被引量:9
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作者 刘杰刚 徐新启 +2 位作者 时艳茹 虞青松 李磊 《中国煤炭》 北大核心 2013年第2期101-104,共4页
综合运用分层聚类、逐步判别分析方法的计算原理,依据岱庄煤矿出水点及含水层水样的水质分析资料,建立多元统计分析模型,进行水质相似度分析和主要出水水源判别。研究表明分层聚类方法能够定量、直观地反映各水源之间水质的亲疏关系;逐... 综合运用分层聚类、逐步判别分析方法的计算原理,依据岱庄煤矿出水点及含水层水样的水质分析资料,建立多元统计分析模型,进行水质相似度分析和主要出水水源判别。研究表明分层聚类方法能够定量、直观地反映各水源之间水质的亲疏关系;逐步判别分析法可以有效地判别突水点的类型归属,二者互为补充和验证。 展开更多
关键词 多元统计 分层聚类 逐步判别 出水水源 岱庄煤矿
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白洋淀流域地下水质现状及主要影响因素 被引量:6
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作者 杨戈芝 袁卫宁 +4 位作者 马海珍 朱世峰 段磊 闫姿呈 靳博文 《水利水电技术(中英文)》 北大核心 2021年第4期162-170,共9页
为了解白洋淀流域地下水水质现状及主要影响因素,通过野外调查取样测试、多元统计和基于GIS的空间分析等方法,对白洋淀流域浅层地下水质现状进行了评价,筛出了主要超标物质,探讨了影响研究区地下水质的主要控制因素。结果表明:浅层地下... 为了解白洋淀流域地下水水质现状及主要影响因素,通过野外调查取样测试、多元统计和基于GIS的空间分析等方法,对白洋淀流域浅层地下水质现状进行了评价,筛出了主要超标物质,探讨了影响研究区地下水质的主要控制因素。结果表明:浅层地下水质存在10项超标组分,SO_(4)^(2-)、TDS、Mn、NO_(3)^(-)和F^(-)等组分超标率大于20%,硝酸盐超标区位于白洋淀流域的冲洪积平原区,其它超标组分主要分布于白洋淀周边冲湖积平原区。通过因子分析法(FA)提取了4个影响浅层地下水水质的主要控制因素,蒸发浓缩和污水排放的复合作用导致地下水TDS、Cl^(-)、SO_(4)^(2-)超标,贡献率为51.7%;碱性环境和离子交换作用是影响地下水F^(-)超标的主要原因,贡献率为14.21%;农业活动和原生环境的还原作用导致地下水中氮化物和砷部分超标,贡献率仅为7%左右。因此,调控农业活动和污水排放是改善研究区水质的主要途径。 展开更多
关键词 地下水 水质评价 污染源 多元统计分析 人类活动 水环境 影响因素
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基于多元统计分析的矿井水源的Bayes逐步判别及混合模型 被引量:4
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作者 谭博 高艳卫 《中国煤炭》 北大核心 2013年第5期111-115,共5页
综合利用多元统计技术、Bayes逐步判别分析法和混合计算理论,依据地下水含水层组分的水化学数据,分别建立祁东矿区的Bayes逐步分析单一水源判别模型和混合水源判别模型,并分别对模型进行验证。结果表明:Bayes单一水源判别模型正确率比... 综合利用多元统计技术、Bayes逐步判别分析法和混合计算理论,依据地下水含水层组分的水化学数据,分别建立祁东矿区的Bayes逐步分析单一水源判别模型和混合水源判别模型,并分别对模型进行验证。结果表明:Bayes单一水源判别模型正确率比模糊评价法、BP神经网络方法高,与聚类分析相同;混合水源识别模型判别水源比例精度高,其回代估计法得到的误判率小,具有较强的水源识别能力,对矿区水源判别工作有很大帮助。 展开更多
关键词 矿井突水 Bayes逐步判别分析 混合水源判别 多元统计技术
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