SPATIAL DISTRIBUTION OF HEAVY METALS RELEASED FROM ASHES AFTER A WILDFIRE

被引:73
作者
Pereira, Paulo [1 ,2 ]
Ubeda, Xavier [1 ]
机构
[1] Univ Barcelona, GRAM Mediterranean Environm Res Grp, Dept Phys Geog & Reg Geog Anal, Barcelona 08001, Spain
[2] Vilnius Gedminas Tech Univ, Environm Protect Dept, LT-01108 Vilnius, Lithuania
关键词
heavy metals; ash; Quercus suber; Pinus pinaster; spatial variation; interpolation methods; WOOD-ASH; INTERPOLATION METHODS; SOIL PROPERTIES; LANDFILL LEACHATE; TRACE-ELEMENTS; FIRE; GEOSTATISTICS; VARIABILITY; PRECIPITATION; FLAMMABILITY;
D O I
10.3846/jeelm.2010.02
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heavy Metals (HM) in great amounts in soil and water resources can cause coercive effects in the environment and human health. Ash contains high quantities of HM that depend on combusted species, type and part burned and soil characteristics. After a fire, the HM released from ash can lead to a soil solution and water resources contamination. This liberation of HM in solution can be highly variable across the affected area. This work pretends to study the spatial variation of the HM - Aluminium (Al3+), Manganese (Mn2+), Iron (Fe2+) and Zinc (Zn2+) - in a Quercus suber and Pinus pinaster stand affected by a wildfire in Portugal, applying some interpolation methods. The results showed that on average across the plot, Al3+ was the HM released in higher quantities and Zn2+ in lower. The higher variability was observed in Zn2+ and in Fe2+. The interpolation methods assessed showed that polynomial regression (PR) method was the more accurate to predict the distribution of the HM across the plot. Al3+ and Mn2+ showed a rise in their concentration from south towards north section of the plot, and Fe2+ and Zn2+ a decrease from northwest to southeast section of the plot. The liberation of Al3+ and Mn2+ is related with species burning severity, and Fe2+ and Zn2+ with plot topography. The fire evolution across the plot and the consequent rising temperatures can have higher impacts than burned species in HM spatial variability. Over time, with the decreasing ash pH, HM will become more mobile and will be released in soil solution, with potential coercive effects in the environment.
引用
收藏
页码:13 / 22
页数:10
相关论文
共 69 条
[1]  
Alloway C J., 1995, Heavy Metals in Soils
[2]  
[Anonymous], INT M FIR EFF SOIL P
[3]   Application of geostatistics to evaluate partial weather station networks [J].
Ashraf, M ;
Loftis, JC ;
Hubbard, KG .
AGRICULTURAL AND FOREST METEOROLOGY, 1997, 84 (3-4) :255-271
[4]   Statistical approach to inverse distance interpolation [J].
Babak, Olena ;
Deutsch, Clayton V. .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23 (05) :543-553
[5]   Modelling of Cu, Ni, Zn, Mn and Pb transport from soil to seedlings of coniferous and leafy trees [J].
Baltrenaite, Edita ;
Butkus, Donatas .
JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT, 2007, 15 (04) :200-207
[6]   A Geostatistical Analysis of the Spatial Variation of Soil Mineral Nitrogen and Potentially Available Nitrogen Within an Arable Field [J].
S. J. Baxter ;
M. A. Oliver ;
J. Gaunt .
Precision Agriculture, 2003, 4 (2) :213-226
[7]   The spatial prediction of soil mineral N and potentially available N using elevation [J].
Baxter, SJ ;
Oliver, MA .
GEODERMA, 2005, 128 (3-4) :325-339
[8]   Forest soil acidification assessment using principal component analysis and geostatistics [J].
Boruvka, Lubos ;
Mladkova, Lenka ;
Penizek, Vit ;
Drabek, Ondrej ;
Vasat, Radim .
GEODERMA, 2007, 140 (04) :374-382
[9]   Geostatistical Stochastic simulation of soil water content in a forested area of south Italy [J].
Castrignanò, A ;
Buttafuoco, G .
BIOSYSTEMS ENGINEERING, 2004, 87 (02) :257-266
[10]   Spatial and temporal changes of soil salinity in a cotton field irrigated with low-quality water [J].
Cetin, M ;
Kirda, C .
JOURNAL OF HYDROLOGY, 2003, 272 (1-4) :238-249