Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 52 checked references that resolve
resolves10.1016/j.jhydrol.2004.06.021Input determination for neural network models in water resources applications. Part 1—background and methodology
resolves10.1016/j.advwatres.2008.10.003Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM). I: Model intercomparison with current land use
resolves10.1002/hyp.326Effects of climate and land‐use change on storm runoff generation: present knowledge and modelling capabilities
resolves10.1007/s11269-010-9652-6Spatial Information-Based Back-Propagation Neural Network Modeling for Outflow Estimation of Ungauged Catchment
resolves10.1623/hysj.52.3.491Baseflow separation techniques for modular artificial neural network modelling in flow forecasting
resolves10.13031/2013.20488CUMULATIVE UNCERTAINTY IN MEASURED STREAMFLOW AND WATER QUALITY DATA FOR SMALL WATERSHEDS
resolves10.1029/95WR01955Artificial Neural Network Modeling of the Rainfall‐Runoff Process
resolves10.1007/s00267-008-9202-7An Auxiliary Method to Reduce Potential Adverse Impacts of Projected Land Developments: Subwatershed Prioritization
resolves10.2134/jeq2009.0441Predicting Water Quality in Unmonitored Watersheds Using Artificial Neural Networks
resolves10.1016/S1364-8152(99)00007-9Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
resolves10.2134/jeq2010.0365Water Resources and Land Use and Cover in a Humid Region: The Southeastern United States
resolves10.2134/jeq2006.0113Impacts of Land Cover on Stream Hydrology in the West Georgia Piedmont, USA
resolves10.1016/j.jhydrol.2005.10.030The impact of land use change on catchment hydrology in large catchments: The Comet River, Central Queensland, Australia
resolves10.1109/23.589532Importance of input data normalization for the application of neural networks to complex industrial problems
resolves10.1111/j.1752-1688.2006.tb04475.xCOMPARISON OF PROCESS‐BASED AND ARTIFICIAL NEURAL NETWORK APPROACHES FOR STREAMFLOW MODELING IN AN AGRICULTURAL WATERSHED<sup>1</sup>
resolves10.1029/2009WR007937Introduction to special section on Impacts of Land Use Change on Water Resources
resolves10.5194/hessd-8-4121-2011Top-down analysis of collated streamflow data from heterogeneous catchments leads to underestimation of land cover influence
resolves10.13031/2013.25948Improving Daily Water Yield Estimates in the Little River Watershed: SWAT Adjustments
resolves10.1029/2007WR006665Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin
The 14 references without a DOI — listed, not checked
no DOI — not checkedBras, R.L., 1990. Hyrology: An Introduction to Hydrologic Sciences. Addison-Wesley Publishing Company, New York.
no DOI — not checked10.1016/j.jhydrol.2012.08.032_b0065
no DOI — not checkedCrim, J.F., 2007. Water Quality Changes Across an Urban–Rural Land Use Gradient in Streams of the West Georgia Piedmont. M.Sc. Thesis. Auburn Univ., Auburn, Alabama.
no DOI — not checkedComputation of direct runoff amounts from storm rainfall
no DOI — not checked10.1016/j.jhydrol.2012.08.032_b0120
no DOI — not checkedMATLAB version 7.10.0, 2010. Computer Software. The MathWorks Inc., Natick, Massachusetts.
no DOI — not checkedStreamflow forecasting based on artificial neural networks
no DOI — not checkedSchoonover, J.S., 2005. Hydrology, Water Quality, and Channel Morphology Across an Urban–Rural Land Use Gradient in the Georgia piedmont, USA. Ph.D. Diss. Auburn Univ., Auburn, Alabama.
no DOI — not checkedModelling hydrological responses to land use and climatic change: a Southern African perspective
no DOI — not checkedSCS, 1986. Urban Hydrology for Small Watersheds. Tech. Release No. 55. Soil Conservation Service, U.S.D.A., Washington D.C.
no DOI — not checkedSoil Survey Staff, 2011. Natural Resources Conservation Service, United States Department of Agriculture. Soil Survey Geographic (SSURGO) Database for Georgia. <http://soildatamart.nrcs.usda.gov> (accessed 03.10.11).
no DOI — not checkedTrimble, S.W., 2008. Man-Induced Soil Erosion on the Southern Piedmont: 1700–1970, second ed. Soil and Water Conservation Society, Ankeny, IA.
no DOI — not checkedUnited States Forest Service (USFS), 2005. Ecological Subregions of the United States. Department of Agriculture. <http://www.fs.fed.us/land/pubs/ecoregions/ch20.html> (accessed 05.16.11).
no DOI — not checked10.1016/j.jhydrol.2012.08.032_b0330
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