Radon risk mapping: A new geostatistical method based on Lorenz Curve and Gini index

2021 ◽  
Vol 233 ◽  
pp. 106612
Author(s):  
F. Loffredo ◽  
A. Scala ◽  
M. Serra ◽  
M. Quarto
Keyword(s):  
Lorenz Curve ◽  
Gini Index ◽  
Risk Mapping ◽  
Geostatistical Method ◽  
Radon Risk ◽  
Radon Risk Mapping

Radon Risk Mapping - A Method of Predicting Problem Areas on Geological Grounds

1994 ◽  
Vol 56 (1-4) ◽  
pp. 221-224 ◽  
Author(s):  
F. Kullman
Keyword(s):  
Regional Scale ◽  
Risk Mapping ◽  
Rock Types ◽  
Field Investigations ◽  
Need To Evaluate ◽  
Risk Areas ◽  
And Control ◽  
Radon Measurements ◽  
Radon Risk ◽  
Radon Risk Mapping

Abstract The Swedish stipulations of a maximum radon daughter level of 200 Bq.m3 for permanently inhabited buildings, and of 70 Bq.m-3 for buildings built later than 1981, has created a need to evaluate the radon risk caused by the ground. Radon risk mapping is done both on a regional scale and a detailed scale. When mapping, the ground is classified into high, normal and low risk areas. The classification work is started by an interpretation of all available geological material from the investigated area. This is followed by field investigations including radon measurements in possible risk areas, and control of radium content by gamma spectrometry in the typical rock types and soil types of the area. Results from MRM Konsult's radon measurements show a very large increase of high radon houses within high risk areas, classified according to the above model, if compared to randomly distributed measurements.

scholarly journals A software for indoor radon risk mapping based on geology

2014 ◽  
Vol 29 (suppl.) ◽  
pp. 59-63 ◽  
Author(s):  
Francois Tondeur ◽  
Giorgia Cinelli
Keyword(s):  
Indoor Radon ◽  
Moving Average ◽  
Grid Point ◽  
Computer Code ◽  
Risk Mapping ◽  
Reference Level ◽  
Geological Unit ◽  
Radon Measurements ◽  
Radon Risk ◽  
Radon Risk Mapping

A computer code dedicated to indoor radon risk mapping is presented, based on geology and on indoor radon measurements. Assuming a lognormal distribution of the data at the local scale, it provides the estimation of the percentage of houses above a chosen reference level, at the points of a grid specified by the user, using the moving average of data belonging to the same geological unit as the grid point.

Lorenz Curve and Gini Index

1990 ◽  
Vol 40 (1-4) ◽  
pp. 307-324
Author(s):  
T. S. K. Moothathu
Keyword(s):  
Lorenz Curve ◽  
Gini Index

The Contest for Olympic Success as a Public Good

2013 ◽  
Author(s):  
Loek Groot
Keyword(s):  
Lorenz Curve ◽  
Gini Index ◽  
World Population ◽  
Level Playing Field ◽  
Actual Distribution ◽  
Playing Field ◽  
Inequality Measures ◽  
The Rich ◽  
The Lorenz Curve ◽  
Rich Countries

In this study it is demonstrated that standard income inequality measures, such as the Lorenz curve and the Gini index, can successfully be applied to the distribution of Olympic success. Olympic success is distributed very unevenly, with the rich countries capturing a disproportionately higher share compared to their world population share, which suggests that the Olympic Games do not provide a level playing field. The actual distribution of Olympic success is compared with alternative hypothetical distributions, among which are chosen the distribution according to population shares, the welfare optimal distribution under the assumption of zero government expenditures, and the non-cooperating Nash-Cournot distribution. By way of conclusion, a device is proposed to make the distribution of Olympic success more equitable.

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