Application of geophysical monitoring techniques as aids to probabilistic risk-based management of landfill sites

作者: G FERRIER , L E FROSTICK , T SPLAJT

DOI: 10.1111/J.1475-4959.2009.00340.X

关键词:

摘要: Increasingly stringent regulatory regimes, in conjunction with landfill development environmentally sensitive locations and the large number of abandoned sites, are significantly increasing responsibilities local authorities environmental agencies. These include identification and/or monitoring of: contaminated land; boundaries waste sites; nature content; location, extent, content depth closed leachate plumes escaping from both operational sites performance liners. Probabilistic risk based modelling is a standard methodology for managing impact sites. A critical problem implementation probabilistic uncertainty shallow geology, internal structure distribution landfills caused by severe lack surface subsurface information within outside site. The utility two non-invasive ground geophysical techniques, penetrating radar reflectance spectroscopy, as aids to characterising three-dimensional has been investigated. Strong correlations between red edge inflection position chlorophyll metal concentration have demonstrated grassland species affected contamination soil adjacent study results this how recent advances equipment, techniques software mean that field-based spectroscopy Ground Penetrating Radar can now provide scientists cost-effective, rapid characterise three dimensions, aid managers positioning additional boreholes field sampling surveys, data inputs migration modelling.

参考文章(42)
Paras R. Pujari, Pawan Pardhi, Pradipta Muduli, Prajakta Harkare, Madan V. Nanoti, Assessment of Pollution Near Landfill Site in Nagpur, India by Resistivity Imaging and GPR Environmental Monitoring and Assessment. ,vol. 131, pp. 489- 500 ,(2007) , 10.1007/S10661-006-9494-0
Gabriela Strub, Ulrich Beisl, Michael Schaepman, Daniel Schlaepfer, Corinna Dickerhof, Klaus Itten, Evaluation of diurnal hyperspectral HDRF data acquired with the RSL field goniometer during the DAISEX'99 campaign Isprs Journal of Photogrammetry and Remote Sensing. ,vol. 57, pp. 184- 193 ,(2002) , 10.1016/S0924-2716(02)00122-3
Fuan Tsai, William Philpot, Derivative Analysis of Hyperspectral Data Remote Sensing of Environment. ,vol. 66, pp. 41- 51 ,(1998) , 10.1016/S0034-4257(98)00032-7
Daniel J. Lang, Roland W. Scholz, Claudia R. Binder, Arnim Wiek, Beat Stäubli, Sustainability Potential Analysis (SPA) of landfills – a systemic approach: theoretical considerations Journal of Cleaner Production. ,vol. 15, pp. 1628- 1638 ,(2007) , 10.1016/J.JCLEPRO.2006.08.004
Moses Azong Cho, Andrew K. Skidmore, A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method Remote Sensing of Environment. ,vol. 101, pp. 181- 193 ,(2006) , 10.1016/J.RSE.2005.12.011
Fucheng Yan, Jichang Yan, Yuehong Wang, Dawei Chen, Site environmental assessment to an old paint factory in China Environmental Monitoring and Assessment. ,vol. 139, pp. 93- 106 ,(2008) , 10.1007/S10661-007-9818-8
L.P. Peters, J.J. Daniels, J.D. Young, Ground penetrating radar as a subsurface environmental sensing tool Proceedings of the IEEE. ,vol. 82, pp. 1802- 1822 ,(1994) , 10.1109/5.338072
Svetlana M Kochubey, Taras A Kazantsev, None, Changes in the first derivatives of leaf reflectance spectra of various plants induced by variations of chlorophyll content. Journal of Plant Physiology. ,vol. 164, pp. 1648- 1655 ,(2007) , 10.1016/J.JPLPH.2006.11.007
K Abbaspour, V Matta, P Huggenberger, C.A Johnson, A contaminated site investigation: comparison of information gained from geophysical measurements and hydrogeological modeling Journal of Contaminant Hydrology. ,vol. 40, pp. 365- 380 ,(2000) , 10.1016/S0169-7722(99)00055-8
Gregory A. Carter, RESPONSES OF LEAF SPECTRAL REFLECTANCE TO PLANT STRESS American Journal of Botany. ,vol. 80, pp. 239- 243 ,(1993) , 10.1002/J.1537-2197.1993.TB13796.X