Natural Radioactivity and Metals in Pit Lakes in Sweden Analyzed by Principal Component and Cluster Analysis

被引:2
作者
Thomas, Rimon [1 ]
Pinero-Garcia, Francisco [1 ]
Forssell-Aronsson, Eva [1 ,3 ]
Mantero, Juan [1 ,2 ]
Isaksson, Mats [1 ]
机构
[1] Univ Gothenburg, Sahlgrenska Acad, Inst Clin Sci, Dept Med Radiat Sci, S-41345 Gothenburg, Sweden
[2] Univ Seville, ETSA, Dept Appl Phys 2, Seville 41012, Spain
[3] Sahlgrens Univ Hosp, Dept Med Phys & Biomed Engn, S-41345 Gothenburg, Region Vastra G, Sweden
关键词
Mining; HCA; PCA; Radionuclides; Uranium; Thorium; URANIUM-MINE; FLUID-FLOW; WATER; DISEQUILIBRIUM; GROUNDWATER; SURFACE;
D O I
10.1007/s10230-022-00888-1
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The aim of this work was to determine which parameters are sufficient to measure in order to describe the water quality of a pit lake and to identify patterns in the data among different kind of pit lakes. The data consisted of ambient dose equivalent rate, elemental and radionuclide concentration, pH, and specific conductance in surface water and sediment samples collected from different types of mines. Data were tested for normality and log-normality and used in principal component analysis (PCA) and hierarchical cluster analysis (HCA). The normality tests indicated that only K-40 was normally distributed, while only the U-234,U-238 isotopes were log-normally distributed. HCA performed on parameters measured in surface water provided clusters that in most cases separated the elements according to their chemical groups. However, when HCA was performed on pit lakes, the clustering seemed to indicate that surface water might not be the preferred sample to differentiate between different types of pit lakes. PCA of surface water data resulted in three components that explained 72% of the variance when pH, SC, concentration of the elements Mg, K, Ca, Cu, Zn, Sr, Pb, activity concentration of U-234,U-238 and Po-210, and ambient dose equivalent rate were included. For surface sediment data, the PCA resulted in three components explaining 83% of the variance when the concentration of Na, Mg, Al, P, K, Ca, Rb, Sr, Y, Tl, activity concentration of Th-234, Ra-226, Pb-210, Th-232 (series average), and K-40, and ambient dose equivalent rate were included.
引用
收藏
页码:695 / 703
页数:9
相关论文
共 35 条
[21]   Principal Component Analysis as an exploration tool for kinetic modeling of food quality: A case study of a dried apple cluster snack [J].
Saavedra, Jorge ;
Cordova, Andres ;
Galvez, Lena ;
Quezada, Cesar ;
Navarro, Rosa .
JOURNAL OF FOOD ENGINEERING, 2013, 119 (02) :229-235
[22]   Assessment of genetic diversity for seed vigor traits in rice (Oryza sativa L.) through principal component and cluster analysis [J].
Kumari, Shruti ;
Chakrabarty, S. K. ;
Paul, Debashis .
INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 2023, 83 (03) :343-354
[23]   Principal Component Analysis-Based Data Clustering for Labeling of Level Damage Sector in Post-Natural Disasters [J].
Almais, Agung Teguh Wibowo ;
Susilo, Adi ;
Naba, Agus ;
Sarosa, Moechammad ;
Crysdian, Cahyo ;
Tazi, Imam ;
Hariyadi, Mokhamad Amin ;
Muslim, Muhammad Aziz ;
Basid, Puspa Miladin Nuraida Safitri Abdul ;
Arif, Yunifa Miftachul ;
Purwanto, Mohammad Singgih ;
Parwatiningtyas, Diyan ;
Supriyono ;
Wicaksono, Hendro .
IEEE ACCESS, 2023, 11 :74590-74601
[24]   Genetic diversity study of bacterial wilt-tolerant bell pepper (Capsicum annuum) genotypes using cluster and principal component analysis [J].
Anuradha ;
Sood, Sonia ;
Redhu, Mandeep ;
Singh, Rajvinder ;
Kumar, Naveen ;
Loyal, Atul .
INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2024, 94 (10) :1045-1050
[25]   Modeling dynamics of peri-urban interface based on principal component analysis (PCA) and cluster analysis (CA): a study of English Bazar Urban Agglomeration, West Bengal [J].
Dutta, Ipsita ;
Das, Arijit .
MODELING EARTH SYSTEMS AND ENVIRONMENT, 2019, 5 (02) :613-626
[26]   Infiltration characterization using principal component analysis and K-means cluster analysis on quaternary volcanic landscape at the southern flank of Rinjani Volcano, Lombok Island, Indonesia [J].
Setiawan, Ogi ;
Sartohadi, Junun ;
Hadi, M. Pramono ;
Mardiatno, Djati .
PHYSICAL GEOGRAPHY, 2020, 41 (03) :217-237
[27]   Modeling dynamics of peri-urban interface based on principal component analysis (PCA) and cluster analysis (CA): a study of English Bazar Urban Agglomeration, West Bengal [J].
Ipsita Dutta ;
Arijit Das .
Modeling Earth Systems and Environment, 2019, 5 :613-626
[28]   Principal component analysis to assess the efficiency and mechanism for enhanced coagulation of natural algae-laden water using a novel dual coagulant system [J].
Ou, Hua-Se ;
Wei, Chao-Hai ;
Deng, Yang ;
Gao, Nai-Yun ;
Ren, Yuan ;
Hu, Yun .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2014, 21 (03) :2122-2131
[29]   Chemical Imaging Analysis of the Micropatterns of Proteins and Cells Using Cluster Ion Beam-based Time-of-Flight Secondary Ion Mass Spectrometry and Principal Component Analysis [J].
Shon, Hyun Kyong ;
Son, Jin Gyeong ;
Lee, Kyung-Bok ;
Kim, Jinmo ;
Kim, Myung Soo ;
Choi, Insung S. ;
Lee, Tae Geol .
BULLETIN OF THE KOREAN CHEMICAL SOCIETY, 2013, 34 (03) :815-819
[30]   Principal component analysis to assess the efficiency and mechanism for enhanced coagulation of natural algae-laden water using a novel dual coagulant system [J].
Hua-Se Ou ;
Chao-Hai Wei ;
Yang Deng ;
Nai-Yun Gao ;
Yuan Ren ;
Yun Hu .
Environmental Science and Pollution Research, 2014, 21 :2122-2131