APPLICATION OF MULITIVARIATE STATISTICAL METHODS FOR ANALYSIS OF PHYSICAL AND CHEMICAL FACTORS IN RESERVOIR WITH SEPARATED PRE-DAM ZONE ON THE BASIS OF THE EXAMPLE OF JEZIORO KOWALSKIE

Sojka Mariusz; Kanclerz Jolanta; Dysarz Tomasz; Wicher-Dysarz Joanna

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APPLICATION OF MULITIVARIATE STATISTICAL METHODS FOR ANALYSIS OF PHYSICAL AND CHEMICAL FACTORS IN RESERVOIR WITH SEPARATED PRE-DAM ZONE ON THE BASIS OF THE EXAMPLE OF JEZIORO KOWALSKIE

机译：基于JEZIORO KOWALSKIE实例的多元统计方法在分离坝前储层物化因子分析中的应用

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In the paper the application of multivariate statistical methods (cluster analysis, principal component analysis, factor analysis, discriminant analysis) for analysis of spatial and temporal variation of physical and chemical parameters along a reservoir was tested. The reservoir studied is a special two- stage reservoir. The choice of representative parameters of water quality and their variability is also presented. The basis for the assessment was the set of data including 15 parameters of water quality sampled once per month. The samples were taken at five measurement control points (MCP) located along Jezioro Kowalskie reservoir. The samples were taken in the period from September 2011 to November 2012. The inundation area of Jezioro Kowalskie reservoir is 2.03 km(2) (volume 6.58 million m(3)). The reservoir is located in watershed of the Glowna river. The depth of the aquifer varies between 1.5 m and 6.5 m (near the dam).

机译：在本文中，测试了多元统计方法（聚类分析，主成分分析，因子分析，判别分析）在沿着储层的物理和化学参数的时空变化分析中的应用。研究的储层是一种特殊的两级储层。还介绍了水质代表性参数的选择及其可变性。评估的基础是一套数据，其中包括每月一次采样的15个水质参数。样品是在沿Jezioro Kowalskie水库的五个测量控制点（MCP）上采集的。采样时间为2011年9月至2012年11月。Jezioro Kowalskie水库的淹没面积为2.03 km（2）（体积为658万平方米（3））。该水库位于Glowna河的分水岭。含水层的深度在1.5 m和6.5 m之间变化（在大坝附近）。

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《Fresenius Environmental Bulletin》 |2015年第4b期|1516-1522|共7页
作者
Sojka Mariusz; Kanclerz Jolanta; Dysarz Tomasz; Wicher-Dysarz Joanna;
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Poznan Univ Life Sci, Dept Land Improvement Environm Dev & Geodesy, PL-60649 Poznan, Poland;

Poznan Univ Life Sci, Dept Land Improvement Environm Dev & Geodesy, PL-60649 Poznan, Poland;

Poznan Univ Life Sci, Dept Hydraul & Sanit Engn, PL-60649 Poznan, Poland;

Poznan Univ Life Sci, Dept Hydraul & Sanit Engn, PL-60649 Poznan, Poland;

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正文语种 eng
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reservoir; water quality; multivariate statistical techniques; cluster analysis; factor analysis; principal component analysis; discriminant analysis;

机译：水库水质多元统计技术聚类分析因子分析主成分分析判别分析;

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机译：基于JEZIORO KOWALSKIE实例的多元统计方法在分离坝前储层物化因子分析中的应用
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APPLICATION OF MULITIVARIATE STATISTICAL METHODS FOR ANALYSIS OF PHYSICAL AND CHEMICAL FACTORS IN RESERVOIR WITH SEPARATED PRE-DAM ZONE ON THE BASIS OF THE EXAMPLE OF JEZIORO KOWALSKIE

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