Assessment of spatial distribution of fallout radionuclides through geostatistics concept

Mabit, Lionel; Bernard, Claude

doi:10.1016/j.jenvrad.2007.05.008

Cited by 93 publications

(32 citation statements)

References 21 publications

(21 reference statements)

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“…Kriging, as applied within moving data neighbourhoods, is a non-stationary algorithm which corresponds to a non-stationary random function model with varying mean but stationary covariance (Deutsch and Journal 1992). In kriging, a semivariogram model was used to define the weights of the function (Webster and Oliver 2001), and the semivariance is an autocorrelation statistic defined as follows (Mabit and Bernard 2007):…”

Section: Soil Sampling and Analysismentioning

confidence: 99%

Geostatistical and multivariate analysis of soil heavy metal contamination near coal mining area, Northeastern India

et al. 2014

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The spatial distribution and hazard assessment of heavy metals in the soils of surrounding agricultural fields affected by mine drainage of Ledo coal mining area of Tinsukia district, Assam, India, were investigated using statistics, geostatistics and geographic information system techniques. The amounts of Cr, Cd, Ni and Pb were determined from 83 soil samples collected within the contaminated area. The maps based on ordinary kriging showed that high concentrations of heavy metals were located in the low-lying paddy field and near coal mining site. Indicator kriged probability maps were prepared based on the concentrations to exceed permissible limit (MPL). It was seen that more than 95 % of the studied area has a higher than 50 % probability to exceed the MPL value of Pb and Ni. Multivariate statistical analyses and principal component analysis suggest that Cd and Pb are derived from anthropogenic sources, particularly coal mining activities, whereas Ni and Cr are derived from lithogenic and/or anthropogenic sources.

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Section: Soil Sampling and Analysismentioning

confidence: 99%

Geostatistical and multivariate analysis of soil heavy metal contamination near coal mining area, Northeastern India

et al. 2014

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“…The procedure includes testing the possible existence of spatial autocorrelation in data followed by visualizing and quantifying, then applying a proper model to experimental Variogram and finally incorporating the results into an interpolation process to predict dose rate values (Khoshbinfar 2010). Among different geostatistical interpolation methods, it is suggested that the Kriging is reliable enough for environmental radioactivity interpretations which produces visually appealing maps from irregularly spaced data (Almgren et al 2006;Mabit and Bernard 2007;Szegvary et al 2007 …”

Section: Geostatistical Treatmentmentioning

confidence: 99%

Spatial variability of soil 137Cs in the South Caspian region

Khoshbinfar

Moghaddam

2011

Environ Monit Assess

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In a comprehensive program of environmental radioactivity survey in South Caspian region, (137)Cs inventories in soil has been measured at more than 50 sites in the Iranian northern province of Guilan. This has been the first wide-range survey of soil radionuclide inventories in the narrow band sensitive ecosystem of south Caspian shore. Radioactivity measurements were carried out using HPGe gamma-spectrometry system. The activity concentration of (137)Cs in surface soil exhibits a mean value of 17.6 ± 9.4 Bq kg(-1), with a range of 2.3-41.7 Bq kg(-1). In many sites, split-level sampling method has been applied down to a depth of 20 cm. There were found generally two profiles. Most profiles exhibit a negative exponential distribution, while others revealed a clear subsurface peak in 5-10-cm layer. Cesium deposition in the study area has been estimated to be in the range of 0.38-2.9 kBq m(-2) with a mean value of 1.7 kBq m(-2). Distribution patterns of (137)Cs concentration levels and deposition values have been estimated using Kriging interpolation method. Observed hotspots in deposition pattern coincide with areas of higher precipitation.

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“…Human activities can result in erosion rates that are many times greater than natural rates. World-wide, erosion is considered to be the most widespread and serious form of soil degradation (Mabit and Bernard, 2007). With the decrease of agricultural land use in Slovenia due to natural, social and economic factors, the amount of material lost to erosion has decreased in the last few decades.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of rainfall erosivity for eastern and western Slovenia

Ceglar¹,

Črepinšek²,

Zupanc³

et al. 2008

Acta Agriculturae Slovenica

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Climate in Slovenia has changed notably over the past century. As regional temperatures have risen, a more vigorous hydrologic cycle ensued; in many places the intensity of rainstorms has become greater. The seasonal distributions of rainfall has changed with significant implications for patterns of vegetation growth and hence for soil erosion. Due to predicted climate change increased frequency of extreme precipitation events can be expected during the time when soil is without plant cover and exposed to the erosive forces. In addition to ample daily and several day precipitation events, water erosion occurs with heavy rainfalls that last from couple of minutes to several hours. Overview of rainfall intensity index and rainfall erosivity, calculated with adapted USLE (universal soil loss equation) method, is given for three meteorological stations in Slovenia for period [1991][1992][1993][1994][1995][1996][1997][1998][1999][2000][2001][2002][2003][2004][2005][2006]. Analyzed locations are situated on different climate areas with noticeable different rainfall regime at western (Bilje at Nova Gorica, Rateče) and eastern (Murska Sobota) part of Slovenia.Key words: rainfall intensity, rainfall erosivity, soil water erosion, Slovenia IZVLEČEK PRIMERJAVA EROZIVNOSTI PADAVIN V ZAHODNI IN VZHODNI SLOVENIJIMeritve dokazujejo, da erozija na kmetijskih zemljiščih nikakor ni zanemarljiva in je najintenzivnejša na njivskih površinah. Podnebje se je v Sloveniji že spremenilo, temperature zraka in tal naraščajo, spreminja pa se tudi vodni cikel. Opažamo sezonsko preporazdelitev padavin, daljše in intenzivnejše poletne suše, pa tudi naraščanje intenzivnosti nalivov, kar vse močno vpliva na erozijske procese. Zaradi predvidenih klimatskih sprememb lahko pričakujemo povečano pogostost in intenziteto ekstremnih padavin v času, ko so tla brez rastlinskega 1 Assistant., B.Sc.Met.,

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Assessment of spatial distribution of fallout radionuclides through geostatistics concept

Cited by 93 publications

References 21 publications

Geostatistical and multivariate analysis of soil heavy metal contamination near coal mining area, Northeastern India

Geostatistical and multivariate analysis of soil heavy metal contamination near coal mining area, Northeastern India

Spatial variability of soil 137Cs in the South Caspian region

A comparative study of rainfall erosivity for eastern and western Slovenia

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