研究领域

Soil science, digital soil mapping, environmental geophysics

My research interests include the development and application of ground-based Electromagnetic (EM) induction methods to generate natural resource information for improved soil and water management in irrigated cotton growing areas. In order to facilitate this research, and ensure it addresses natural resource management issues, I have actively collaborated with a number of community groups, including: Macintyre River Food and Fibre, Gwydir Valley Irrigators Association, Coordinating Committee of Namoi valley water users association, Macquarie 2100 and Darling River Food and Fibre. The main aim of my research is focused on using geostatistical methods to supplement limited soil survey information in combination with ground-based geophysical instruments (i.e. EM) and satellite data. Their application to produce biophysical data ( e.g. agronomy, geology, topograrphy, hydrology and climate) can be used to ascertain where soil and water salinisation may occur. At the field level I developed a Mobile Electromagnetic Sensing System (MESS) for field-scale investigations of soil salinity and irrigation efficiency assessment. At the district level (20,000-200,000 ha) I am developing EM surveys and soil sampling schemes to map groundwater recharge rate, identify deep drainage risk areas, and locate subsurface saline material.

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Taghizadeh-Mehrjardi, R., Nabiollahia, K., Minasny, B., Triantafilis, J., 2016. Ant colony based environmental variable selection combined with ANFIS for digital mapping of soil texture in Isfahan region, Iran. European Journal of Soil Science, Accepted, 5 AUG 2016. Espejo-Perez, A., Brocca, L., Moramarco, T., Giráldez, J., Triantafilis, J., Vanderlinden, K., 2016. Analysis of soil moisture dynamics beneath olive trees. Hydrological Processes, HYP-15-0831.R1. Published on line: 2 AUG 2016. Huang, J., Scudiero, E., Clary, W., Corwin, D.L., Triantafilis, J., 2016. Time-lapse monitoring of soil water content using electromagnetic conductivity imaging. Soil Use and Management, Published on line: 20 JUL 2016. Zare, E., Huang, J., Triantafilis, J., 2016. Digital mapping of soil landscape units at the district level using remote and proximal sensed data. Computers and Electronics in Agriculture, 127, 510-520. Moghadas, D. Taghizadeh-Mehrjardi, R., Triantafilis, J., 2016. Probabilistic inversion of EM38 data for 3D soil mapping in central Iran. Geoderma Regional, 7, 230-238. Huang, J., Scudiero, E., Bagtang, M., Corwin, D.L., Triantafilis, J., 2016. Monitoring scale-specific and temporal variation in electromagnetic conductivity images. Irrigation Science, 34, 187-200. Huang, J., Prochazka, M.J., Triantafilis, J., 2016. Irrigation salinity hazard assessment and risk mapping in the lower Macintyre Valley, Australia. Science of the Total Environment 551-552, 460-473. Huang, J., Scudiero, E., Choo, H., Corwin, D.L., Triantafilis, J., 2016.Mapping soil moisture across an irrigated field using electromagnetic conductivity imaging. Agricultural Water Management, 163, 285-294. Zare, E., Huang, J., Monteiro Santos, F.A., Triantafilis, J., 2015. Mapping salinity in three-dimensions using a DUALEM-421 and electromagnetic inversion software. Soil Science Society of America Journal, 79, 1729-1740. Huang, J., Barrett-Lennard, E., Kilminster, T., Sinott, A., Triantafilis, J.,2015. An error budget for mapping field-scale soil salinity at various depths using different sources of ancillary data. Soil Science Society of America Journal,79, 1717-1728. Miltenyi, G.P.L., Malte, M.C., Triantafilis, J., 2015. Assessing the Australian Soil Classification using cladistic analysis. Soil Research, 53: 772-785. Huang, J., Zare, E., Malik, R.S., Triantafilis, J., 2015.An error budget for soil salinity mapping using different ancillary data. Soil Research, 53, 561-575. Huang, J., Taghizadeh-Mehrjardi, R., Minasny, B., Triantafilis, J., 2015. Modelling soil salinity along a hill slope in Iran by inversion of EM38 data. Soil Science Society of America Journal, 79: 1142-1153. Huang, J., Mokhtari, A., Cohen, D.R., Monteiro Santos, F.A., Triantafilis, J., 2015. Modelling soil salinity across a gilgai landscape by inversion of EM38 and EM31 data. European Journal of Soil Science, 66, 951-960. Taghizadeh-Mehrjardi, R., Nabiollahia, K., Minasny, B., Triantafilis, J., 2015. Comparing data mining classifiers to predict spatial distribution of USDA-family soil groups in Baneh region, Iran. Geoderma, 253-254, 67-77. Davies, G.B., Huang, J, Monteiro Santos, F.A., Triantafilis, J., 2015. Modelling coastal salinity using a DUALEM-421 and inversion software. Groundwater, 53, 424-431. Huang, J., Subasinghe, R., Malik, R.S., Triantafilis, J., 2015. Salinity hazard and risk assessment using proximal sensed electromagnetic instruments. Computers and Electronics in Agriculture, 113, 213-224. Huang, J., Subasinghe, R., Triantafilis, J., 2014. Mapping particle-size fractions as a composition using an additive-log ratio transformation and ancillary data. Soil Science Society of America Journal, 78, 1967-1976. Goff, A., Huang, J., Wong, V., Monteiro Santos, F.A., Triantafilis, J., 2014. Electromagnetic conductivity imaging of soil salinity in an estuarine-alluvial landscape. Soil Science Society of America Journal, 78, 1686-1693. Huang, J, Wong, V., Triantafilis, J., 2014. Mapping soil salinity and pH across an estuarine and alluvial plain using electromagnetic and digital elevation model data. Soil Use and Management, 30, 394-402.