Radon in groundwater: analysis of causes using GIS and multivariate statistics A case study in the Stockholm county

机译：地下水中的氡：使用GIS和多元统计的原因分析斯德哥尔摩县的案例研究

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This study investigated radon (~(222)Rn) in 1460 drilled wells in Stockholm County, taking into consideration a number of factors that were originally considered to be independent sources of information. A combined approach of GIS and multivariate statistical analyses were used. The results show that the following factors clearly affect the radon content: bedrock, distance to fracture, topography and the use of the well.

机译：本研究调查了罗顿（〜（222）RN）在斯德哥尔摩县的1460年钻井井中，考虑到最初被认为是独立信息来源的一些因素。使用GIS和多变量统计分析的组合方法。结果表明，以下因素显然会影响氡含量：基岩，骨折，地形和使用井的距离。

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《International Conference on High Levels of Natural Radiation and Radon Areas》|2005年|1st ed|共2页
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K. Skeppstrom; B. Olofsso;
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中图分类放射卫生;
关键词
Radon; Groundwater; GIS; Multivariate statistic;

机译：氡;地下水;GIS;多变量统计;

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专利

1. A prediction method for radon in groundwater using GIS and multivariate statistics [J] . Skeppstrom K, Olofsson B The Science of the Total Environment . 2006,第2a3期

机译：基于GIS和多元统计的地下水中don预测方法。
2. The statistical analysis of multivariate failure time data: A marginal modeling approach , Ross L. Prentice , Shanshan Zhao , Boca Raton, FL : CRC Press . The statistical analysis of multivariate failure time data: A marginal modeling approach The statistical analysis of multivariate failure time data: A marginal modeling approach , Ross L. Prentice Ross L. Ross L. Prentice Prentice , Shanshan Zhao Shanshan Shanshan Zhao Zhao , Boca Raton, FL Boca Raton, FL : CRC Press CRC Press . [J] . Lin D. Y. Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2019,第4期

机译：多变量故障时间数据的统计分析：边缘建模方法，罗斯L. Prentice，山山赵，博卡拉顿，FL：CRC压力机。多元故障时间数据的统计分析：边缘建模方法多元故障时间数据的统计分析：边缘建模方法，罗斯L. Prentice Ross L. Ross L. Prentice Prentice，Shanshan Zhao Shanshan Shanshan Zhao Zhao，Boca Raton， FL BOCA RATON，FL：CRC按CRC压力机。
3. Rationale and design of the PREFERS (Preserved and Reduced Ejection Fraction Epidemiological Regional Study) Stockholm heart failure study: an epidemiological regional study in Stockholm county of 2.1 million inhabitants [J] . Linde Cecilia, Eriksson Maria J., Hage Camilla, European journal of heart failure: journal of the Working Group on Heart Failure of the European Society of Cardiology . 2016,第10期

机译：PREFERS（保留和减少射血分数的流行病学区域研究）的原理和设计斯德哥尔摩心力衰竭研究：斯德哥尔摩县210万人的流行病学区域研究
4. Radon in groundwater: analysis of causes using GIS and multivariate statistics A case study in the Stockholm county [C] . K. Skeppstrom, B. Olofsso International Conference on High Levels of Natural Radiation and Radon Areas . 2005

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5. Analysis and prediction of spatial data using GIS statistical analysis software "Geostatistical Analyst": A case study of MTBE contamination in groundwater at the city of Temecula, Riverside County, California. [D] . He, Jie Yamacuo. 2003

机译：使用GIS统计分析软件“ Geostatistical Analyst”对空间数据进行分析和预测：以加利福尼亚州里弗赛德县Temecula市地下水MTBE污染为例。
6. Source apportionment of groundwater pollutants in Apulian agricultural sites using multivariate statistical analyses: case study of Foggia province [O] . Pierina Ielpo, Daniela Cassano, Antonio Lopez, 2012

机译：基于多元统计分析的普利亚农业区地下水污染物源头分配-以福贾省为例
7. Rationale and design of the PREFERS (Preserved and Reduced Ejection Fraction Epidemiological Regional Study) Stockholm heart failure study: an epidemiological regional study in Stockholm county of 2.1 million inhabitants [O] . Cecilia Linde, Maria J. Eriksson, Camilla Hage, 2016

机译：优秀（保存和降低射血分数流行病学区域研究）理由和设计）斯德哥尔摩心力衰竭研究：斯德哥尔摩县的流行病学区域研究为210万居民

Radon in groundwater: analysis of causes using GIS and multivariate statistics A case study in the Stockholm county

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