Applied multivariate statistical analysis as a tool for assessing groundwater reactions in the Niebla-Posadas aquifer, Spain
نویسندگان
چکیده
Abstract In the current context of population growth and climate change, it is essential to effectively manage groundwater resources, improve their quality, determine behaviour certain contaminants. Groundwater quality can be worsened most often by anthropogenic factors but also altered natural depending on chemical signatures water sources (i.e., hydrochemical reactions) as a result mixing processes. these cases, use calculations multivariate statistical analysis (MSA) methods crucial for determining reactions that occur, origin fate detected compounds, ions or parameters, system. Thus, ascertain processes affect composition quality) bodies, this information needed designing management strategies exploit aquifers in sustainable way. However, are rarely employed, few investigations consider them focus urban aquifers. Here, other MSA major environmental isotopes utilized an aquifer located rural area associated with Niebla-Posadas aquifer, Spain, where has deteriorated due geogenic factors. This study proves usefulness deriving (1) properly exploitation aquifers, (2) avoid deterioration (3) identify reasons behind poor quality.
منابع مشابه
a time-series analysis of the demand for life insurance in iran
با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند
a multivariate statistical analysis of groundwater chemistry data
q-mode hierarchical cluster (hca) and principal component analysis (pca) were simultaneously applied to groundwater hydrochemical data from the three times in 2004: june, september, and december, along the ain azel aquifer, algeria, to extract principal factors corresponding to the different sources of variation in the hydrochemistry, with the objective of defining the main controls on the h...
متن کاملStatistical Analysis of the Hydrogeochemical Evolution of Groundwater in Alluvial Aquifer of Arak Mighan Playa, Markazi Province, Iran
This paper presents results of hydro-chemical processes controlling groundwater chemical composition, using an integrated application of hierarchical cluster analysis and factor analysis of a major ion data set of groundwater from Mighan playa aquifer. Cluster analysis classified samples into four clusters(A, B, C and D) according to their dominant chemical composition: cluster A (dominant comp...
متن کاملMultivariate statistical analysis as a tool for the segmentation of 3D spectral data.
Acquisition of three-dimensional (3D) spectral data is nowadays common using many different microanalytical techniques. In order to proceed to the 3D reconstruction, data processing is necessary not only to deal with noisy acquisitions but also to segment the data in term of chemical composition. In this article, we demonstrate the value of multivariate statistical analysis (MSA) methods for th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Hydrogeology Journal
سال: 2023
ISSN: ['1431-2174', '1435-0157']
DOI: https://doi.org/10.1007/s10040-022-02580-8