The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine
Abstract
A variety of geovisualization and spatial statistical methods can reveal spatial patterns in the distribution of chemical elements in surface and groundwater, and also identify major factors which define those patterns. This chapter describes a combination of modeling techniques to enhance understanding of large-scale spatial distribution of uranium in groundwater in Ukraine, by linking spatial patterns of several indicators and predictors. Factor, correlation, and regression analysis, including their spatial implementations, were used to describe the impacts of several environmental variables on spatial distribution of uranium. Local factor analysis (or Geographically Weighted Factor Analysis, GWFA) was proposed to identify major environmental factors which define the distribution of uranium, and to discover and map their spatial relationships. The study resulted in a series of maps to help visualize and explore the relationships between uranium and several environmental indicators.
Related Content
|
Mukul Bhatnagar, Nitin Pathak.
© 2024.
16 pages.
|
|
Mitushi Singh, Mukul Bhatnagar.
© 2024.
32 pages.
|
|
Vikas Sharma, Sanjay Taneja, Kshitiz Jangir, Kirti Khanna.
© 2024.
15 pages.
|
|
Preet Kanwal.
© 2024.
17 pages.
|
|
Kapil Sharma, Yogesh Kumar, Rajiv Khosla, Sanjay Taneja.
© 2024.
16 pages.
|
|
Sanjeev Kumar, Mohammad Badruddoza Talukder, Firoj Kabir, Fahmida Kaiser.
© 2024.
15 pages.
|
|
K. K. Kishore Mishra, Swati Priya, Syed Sajid Hussain, Swati Gupta.
© 2024.
17 pages.
|
|
|