dc.contributor.author |
Komnitsas, K |
en |
dc.contributor.author |
Modis, K |
en |
dc.date.accessioned |
2014-03-01T01:30:49Z |
|
dc.date.available |
2014-03-01T01:30:49Z |
|
dc.date.issued |
2009 |
en |
dc.identifier.issn |
0304-3894 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/19634 |
|
dc.subject |
Coal wastes |
en |
dc.subject |
Geostatistics |
en |
dc.subject |
Hot spots |
en |
dc.subject |
Risk assessment |
en |
dc.subject |
Spatial trend |
en |
dc.subject.classification |
Engineering, Environmental |
en |
dc.subject.classification |
Engineering, Civil |
en |
dc.subject.classification |
Environmental Sciences |
en |
dc.subject.other |
Coal wastes |
en |
dc.subject.other |
Contaminated areas |
en |
dc.subject.other |
Disposal sites |
en |
dc.subject.other |
Gaussian forms |
en |
dc.subject.other |
Geostatistical |
en |
dc.subject.other |
Geostatistics |
en |
dc.subject.other |
Hazardous elements |
en |
dc.subject.other |
Hot spots |
en |
dc.subject.other |
Mean values |
en |
dc.subject.other |
Non-Gaussian datum |
en |
dc.subject.other |
Random fields |
en |
dc.subject.other |
Risk estimations |
en |
dc.subject.other |
Risk maps |
en |
dc.subject.other |
Risk thresholds |
en |
dc.subject.other |
Spatial trend |
en |
dc.subject.other |
Study areas |
en |
dc.subject.other |
Waste disposal sites |
en |
dc.subject.other |
Coal |
en |
dc.subject.other |
Coal industry |
en |
dc.subject.other |
Risk management |
en |
dc.subject.other |
Risk perception |
en |
dc.subject.other |
Trellis codes |
en |
dc.subject.other |
Waste disposal |
en |
dc.subject.other |
Risk assessment |
en |
dc.subject.other |
coal mining |
en |
dc.subject.other |
contaminated land |
en |
dc.subject.other |
estimation method |
en |
dc.subject.other |
hazardous waste |
en |
dc.subject.other |
mine waste |
en |
dc.subject.other |
risk assessment |
en |
dc.subject.other |
statistical analysis |
en |
dc.subject.other |
transformation |
en |
dc.subject.other |
waste disposal |
en |
dc.subject.other |
Environmental Pollution |
en |
dc.subject.other |
Geography |
en |
dc.subject.other |
Industrial Waste |
en |
dc.subject.other |
Mining |
en |
dc.subject.other |
Models, Statistical |
en |
dc.subject.other |
Risk Assessment |
en |
dc.subject.other |
Russia |
en |
dc.subject.other |
Eurasia |
en |
dc.subject.other |
Russian Federation |
en |
dc.title |
Geostatistical risk estimation at waste disposal sites in the presence of hot spots |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.jhazmat.2008.09.027 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.jhazmat.2008.09.027 |
en |
heal.language |
English |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
The present paper aims to estimate risk by using geostatistics at the wider coal mining/waste disposal site of Belkovskaya, Tula region, in Russia. In this area the presence of hot spots causes a spatial trend in the mean value of the random field and a non-Gaussian data distribution. Prior to application of geostatistics, subtraction of trend and appropriate smoothing and transformation of the data into a Gaussian form were carried out: risk maps were then generated for the wider study area in order to assess the probability of exceeding risk thresholds. Finally, the present paper discusses the need for homogenization of soil risk thresholds regarding hazardous elements that will enhance reliability of risk estimation and enable application of appropriate rehabilitation actions in contaminated areas. (C) 2008 Elsevier B.V. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Journal of Hazardous Materials |
en |
dc.identifier.doi |
10.1016/j.jhazmat.2008.09.027 |
en |
dc.identifier.isi |
ISI:000265358400111 |
en |
dc.identifier.volume |
164 |
en |
dc.identifier.issue |
2-3 |
en |
dc.identifier.spage |
1185 |
en |
dc.identifier.epage |
1190 |
en |