Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire

Paulo Pereira, Xavier Ubeda, Deborah Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The present work aims to study the spatial variability of ash Total Carbon (TC%) and Total Nitrogen (TN%) after a wildfire occurred in Portugal. Ash TC% a mean of 26.72 % (±8.76 %) and ash TN% of 1.20 % (±0.32 %). We observed that the area recover very fast to wildfire and two years the great part of soil was cover by vegetation. The fire severity (assessed with ash color and CaCO3 content) was more related with ash TC%, than ash TN% due the different vulnerability and response of these two elements to fire temperature and as consequence severity. Previous to model data we tested their normality that only was achieved in the case of TC% after a neperian logarithmic transformation (ln). TN% respected gaussian distribution, however showed a high skewness, thus this variable was also in transformed. Ash TC%(ln) presented an excellent spatial structure and the experimental model fits better with the rational quadratic model and ash TN%(ln) with the lineal model. Among all interpolation methods tested, the most accurate to interpolate ash TC%(ln) was IDW2 and the less suitable LP3. In relation to ash TN%(ln) the best interpolation technique was SPT and the less precise LP3. This allow us to observe differences that the spatial distribution of both variables is different, that is due the small scale variability observed in ash TC%(ln). In general the models were well performed because the residuals mean were closed to 0 and no differences between average of predicted and estimated values were identified. Ash TC%(ln) spatial distribution was in higher amounts in western, northern part and southeast and northeast corner of the plot and lower in the centre and south of the interested area and ash TN%(ln) was observed in higher amounts in the southwest and southeast part of the plot and lesser in the central part.

Original languageEnglish
Title of host publication8th International Conference on Environmental Engineering, ICEE 2011
PublisherVilnius Gediminas Technical University Publishing House "Technika"
Pages255-262
Number of pages8
ISBN (Print)9789955288312
Publication statusPublished - 2011
Externally publishedYes
Event8th International Conference on Environmental Engineering, ICEE 2011 - Vilnius, Lithuania
Duration: May 19 2011May 20 2011

Other

Other8th International Conference on Environmental Engineering, ICEE 2011
CountryLithuania
CityVilnius
Period5/19/115/20/11

Fingerprint

Ashes
Coal ash
Nitrogen
Carbon
Spatial distribution
Interpolation
Fires
Gaussian distribution
Color
Soils

Keywords

  • Fire severity
  • Interpolation methods
  • Spatial distribution
  • Total Carbon
  • Total Nitrogen
  • Wildfire

ASJC Scopus subject areas

  • Environmental Engineering

Cite this

Pereira, P., Ubeda, X., & Martin, D. (2011). Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire. In 8th International Conference on Environmental Engineering, ICEE 2011 (pp. 255-262). Vilnius Gediminas Technical University Publishing House "Technika".

Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire. / Pereira, Paulo; Ubeda, Xavier; Martin, Deborah.

8th International Conference on Environmental Engineering, ICEE 2011. Vilnius Gediminas Technical University Publishing House "Technika", 2011. p. 255-262.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pereira, P, Ubeda, X & Martin, D 2011, Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire. in 8th International Conference on Environmental Engineering, ICEE 2011. Vilnius Gediminas Technical University Publishing House "Technika", pp. 255-262, 8th International Conference on Environmental Engineering, ICEE 2011, Vilnius, Lithuania, 5/19/11.
Pereira P, Ubeda X, Martin D. Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire. In 8th International Conference on Environmental Engineering, ICEE 2011. Vilnius Gediminas Technical University Publishing House "Technika". 2011. p. 255-262
Pereira, Paulo ; Ubeda, Xavier ; Martin, Deborah. / Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire. 8th International Conference on Environmental Engineering, ICEE 2011. Vilnius Gediminas Technical University Publishing House "Technika", 2011. pp. 255-262
@inproceedings{48c4ff04d68b4990b5df455c9ff8cca8,
title = "Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire",
abstract = "The present work aims to study the spatial variability of ash Total Carbon (TC{\%}) and Total Nitrogen (TN{\%}) after a wildfire occurred in Portugal. Ash TC{\%} a mean of 26.72 {\%} (±8.76 {\%}) and ash TN{\%} of 1.20 {\%} (±0.32 {\%}). We observed that the area recover very fast to wildfire and two years the great part of soil was cover by vegetation. The fire severity (assessed with ash color and CaCO3 content) was more related with ash TC{\%}, than ash TN{\%} due the different vulnerability and response of these two elements to fire temperature and as consequence severity. Previous to model data we tested their normality that only was achieved in the case of TC{\%} after a neperian logarithmic transformation (ln). TN{\%} respected gaussian distribution, however showed a high skewness, thus this variable was also in transformed. Ash TC{\%}(ln) presented an excellent spatial structure and the experimental model fits better with the rational quadratic model and ash TN{\%}(ln) with the lineal model. Among all interpolation methods tested, the most accurate to interpolate ash TC{\%}(ln) was IDW2 and the less suitable LP3. In relation to ash TN{\%}(ln) the best interpolation technique was SPT and the less precise LP3. This allow us to observe differences that the spatial distribution of both variables is different, that is due the small scale variability observed in ash TC{\%}(ln). In general the models were well performed because the residuals mean were closed to 0 and no differences between average of predicted and estimated values were identified. Ash TC{\%}(ln) spatial distribution was in higher amounts in western, northern part and southeast and northeast corner of the plot and lower in the centre and south of the interested area and ash TN{\%}(ln) was observed in higher amounts in the southwest and southeast part of the plot and lesser in the central part.",
keywords = "Fire severity, Interpolation methods, Spatial distribution, Total Carbon, Total Nitrogen, Wildfire",
author = "Paulo Pereira and Xavier Ubeda and Deborah Martin",
year = "2011",
language = "English",
isbn = "9789955288312",
pages = "255--262",
booktitle = "8th International Conference on Environmental Engineering, ICEE 2011",
publisher = "Vilnius Gediminas Technical University Publishing House {"}Technika{"}",

}

TY - GEN

T1 - Spatial variation of ash Total Carbon and Total Nitrogen after a wildfire

AU - Pereira, Paulo

AU - Ubeda, Xavier

AU - Martin, Deborah

PY - 2011

Y1 - 2011

N2 - The present work aims to study the spatial variability of ash Total Carbon (TC%) and Total Nitrogen (TN%) after a wildfire occurred in Portugal. Ash TC% a mean of 26.72 % (±8.76 %) and ash TN% of 1.20 % (±0.32 %). We observed that the area recover very fast to wildfire and two years the great part of soil was cover by vegetation. The fire severity (assessed with ash color and CaCO3 content) was more related with ash TC%, than ash TN% due the different vulnerability and response of these two elements to fire temperature and as consequence severity. Previous to model data we tested their normality that only was achieved in the case of TC% after a neperian logarithmic transformation (ln). TN% respected gaussian distribution, however showed a high skewness, thus this variable was also in transformed. Ash TC%(ln) presented an excellent spatial structure and the experimental model fits better with the rational quadratic model and ash TN%(ln) with the lineal model. Among all interpolation methods tested, the most accurate to interpolate ash TC%(ln) was IDW2 and the less suitable LP3. In relation to ash TN%(ln) the best interpolation technique was SPT and the less precise LP3. This allow us to observe differences that the spatial distribution of both variables is different, that is due the small scale variability observed in ash TC%(ln). In general the models were well performed because the residuals mean were closed to 0 and no differences between average of predicted and estimated values were identified. Ash TC%(ln) spatial distribution was in higher amounts in western, northern part and southeast and northeast corner of the plot and lower in the centre and south of the interested area and ash TN%(ln) was observed in higher amounts in the southwest and southeast part of the plot and lesser in the central part.

AB - The present work aims to study the spatial variability of ash Total Carbon (TC%) and Total Nitrogen (TN%) after a wildfire occurred in Portugal. Ash TC% a mean of 26.72 % (±8.76 %) and ash TN% of 1.20 % (±0.32 %). We observed that the area recover very fast to wildfire and two years the great part of soil was cover by vegetation. The fire severity (assessed with ash color and CaCO3 content) was more related with ash TC%, than ash TN% due the different vulnerability and response of these two elements to fire temperature and as consequence severity. Previous to model data we tested their normality that only was achieved in the case of TC% after a neperian logarithmic transformation (ln). TN% respected gaussian distribution, however showed a high skewness, thus this variable was also in transformed. Ash TC%(ln) presented an excellent spatial structure and the experimental model fits better with the rational quadratic model and ash TN%(ln) with the lineal model. Among all interpolation methods tested, the most accurate to interpolate ash TC%(ln) was IDW2 and the less suitable LP3. In relation to ash TN%(ln) the best interpolation technique was SPT and the less precise LP3. This allow us to observe differences that the spatial distribution of both variables is different, that is due the small scale variability observed in ash TC%(ln). In general the models were well performed because the residuals mean were closed to 0 and no differences between average of predicted and estimated values were identified. Ash TC%(ln) spatial distribution was in higher amounts in western, northern part and southeast and northeast corner of the plot and lower in the centre and south of the interested area and ash TN%(ln) was observed in higher amounts in the southwest and southeast part of the plot and lesser in the central part.

KW - Fire severity

KW - Interpolation methods

KW - Spatial distribution

KW - Total Carbon

KW - Total Nitrogen

KW - Wildfire

UR - http://www.scopus.com/inward/record.url?scp=84929406810&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84929406810&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84929406810

SN - 9789955288312

SP - 255

EP - 262

BT - 8th International Conference on Environmental Engineering, ICEE 2011

PB - Vilnius Gediminas Technical University Publishing House "Technika"

ER -