Articles citing this paper
Irrigation increases groundwater recharge in the Macquarie Valley
TM Willis and AS Black
34(6) pp.837 - 847
27 articles found in Crossref database.
Chronic groundwater decline: A multi-decadal analysis of groundwater trends under extreme climate cycles
Le Brocque Andrew F.,
Kath Jarrod, Reardon-Smith Kathryn
Journal of Hydrology. 2018 561 p.976
Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale
Guillaumot Luca,
Smilovic Mikhail,
Burek Peter,
de Bruijn Jens,
Greve Peter,
Kahil Taher, Wada Yoshihide
Geoscientific Model Development. 2022 15(18). p.7099
Soil chloride and deep drainage responses to land clearing for cropping at seven sites in central Queensland, northern Australia
Radford B.J.,
Silburn D.M., Forster B.A.
Journal of Hydrology. 2009 379(1-2). p.20
Water Movement through a Shallow Vadose Zone: A Field Irrigation Experiment
Ochoa Carlos G.,
Fernald Alexander G.,
Guldan Steven J., Shukla Manoj K.
Vadose Zone Journal. 2009 8(2). p.414
Deep drainage rates of Grey Vertosols depend on land use in semi-arid subtropical regions of Queensland, Australia
Silburn D. M.,
Tolmie P. E.,
Biggs A. J. W.,
Whish J. P. M., French V.
Soil Research. 2011 49(5). p.424
The Brigalow Catchment Study revisited: Effects of land development on deep drainage determined from non-steady chloride profiles
Silburn D.M.,
Cowie B.A., Thornton C.M.
Journal of Hydrology. 2009 373(3-4). p.487
Restoration of sand-stabilizing vegetation reduces deep percolation of precipitation in semi-arid sandy lands, northern China
Liu Xinping,
He Yuhui,
Sun Shanshan,
Zhang Tonghui,
Luo Yongqing,
Zhang Lamei,
Wang Mingming,
Cheng Li,
Hu Hongjiao, Xu Yuanzhi
CATENA. 2022 208 p.105728
Estimating and mapping deep drainage risk at the district level in the lower Gwydir and Macquarie valleys, Australia
Triantafilis J.,
Odeh I. O. A.,
Jarman A. L.,
Short M. G., Kokkoris E.
Australian Journal of Experimental Agriculture. 2004 44(9). p.893
Impact of Temperature Changes on Groundwater Levels in Nzoia River Basin, Kenya
Odwori Ernest Othieno
Asian Journal of Geographical Research. 2022 p.10
River Hydrograph Retransmission Functions of Irrigated Valley Surface Water–Groundwater Interactions
Fernald Alexander G.,
Cevik S. Yeliz,
Ochoa Carlos G.,
Tidwell Vincent C.,
King J. Phillip, Guldan Steven J.
Journal of Irrigation and Drainage Engineering. 2010 136(12). p.823
Numerical model on the application of sand columns in recharge reservoir
Azis Akhmad,
Badaruddin Sugiarto,
Faisal Zulvyah,
Iqbal Muh.Taufik, Hasanuddin Haeril Abdi
Groundwater for Sustainable Development. 2019 8 p.368
A comparison of groundwater recharge estimation methods in a semi-arid, coastal avocado and citrus orchard (Ventura County, California)
Grismer Mark E,
Bachman S, Powers T.
Hydrological Processes. 2000 14(14). p.2527
terraGIS – a web GIS for delivery of digital soil maps in cotton‐growing areas of Australia
Huang J.,
Buchanan S. M.,
Bishop T. F. A.,
Triantafilis J., Goss Michael
Soil Use and Management. 2017 33(4). p.568
Mapping estimated deep drainage in the lower Namoi Valley using a chloride mass balance model and EM34 data
Woodforth A.,
Triantafilis J.,
Cupitt J.,
Malik R. S.,
Subasinghe R.,
Ahmed M. F.,
Huckel A. I., Geering H.
GEOPHYSICS. 2012 77(4). p.WB245
Sustainable Fibres and Textiles (2017)
Salinity hazard and risk mapping of point source salinisation using proximally sensed electromagnetic instruments
Huang J.,
Subasinghe R.,
Malik R.S., Triantafilis J.
Computers and Electronics in Agriculture. 2015 113 p.213
A review of the soil science research legacy of the triumvirate of cotton CRC
Cattle Stephen R., Field Damien J.
Crop and Pasture Science. 2013 64(12). p.1076
The Australian Cotton Industry and four decades of deep drainage research: a review
Silburn D. M.,
Foley J. L.,
Biggs A. J. W.,
Montgomery J., Gunawardena T. A.
Crop and Pasture Science. 2013 64(12). p.1049
Estimation of the deep drainage for irrigated cropland based on satellite observations and deep neural networks
Yu Haichao,
Cui Yaokui,
Li Sien,
Kang Shaozhong,
Yao Zhaoyuan, Wei Zhihao
Remote Sensing of Environment. 2023 298 p.113819
2-Dimensional soil and vadose-zone representation using an EM38 and EM34 and a laterally constrained inversion model
Triantafilis J., Santos F. A. Monteiro
Soil Research. 2009 47(8). p.809
Shallow Aquifer Recharge from Irrigation in a Semiarid Agricultural Valley in New Mexico
Ochoa Carlos G.,
Fernald Alexander G.,
Guldan Steven J.,
Tidwell Vincent C., Shukla Manoj K.
Journal of Hydrologic Engineering. 2013 18(10). p.1219
Event‐based deep drainage and percolation dynamics in Vertosols and Chromosols
Arnold Sven,
Bulovic Nevenka,
McIntyre Neil,
Finch Warren K.,
Larsen Joshua R.,
Reading Lucy P., Baumgartl Thomas
Hydrological Processes. 2020 34(2). p.370
Comparing deep drainage estimated with transient and steady state assumptions in irrigated vertisols
Weaver T. B.,
Hulugalle N. R., Ghadiri H.
Irrigation Science. 2005 23(4). p.183
The hydrogeology of the Condamine River Alluvial Aquifer, Australia: a critical assessment
Dafny Elad, Silburn D. Mark
Hydrogeology Journal. 2014 22(3). p.705
Irrigation application efficiency and deep drainage potential under surface irrigated cotton
Smith R.J.,
Raine S.R., Minkevich J.
Agricultural Water Management. 2005 71(2). p.117
Deep drainage and soil salt loads in the Queensland Murray - Darling Basin using soil chloride: comparison of land uses
Tolmie P. E.,
Silburn D. M., Biggs A. J. W.
Soil Research. 2011 49(5). p.408
Groundwater recharge and time lag measurement through Vertosols using impulse response functions
Hocking Mark, Kelly Bryce F.J.
Journal of Hydrology. 2016 535 p.22
