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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIV-3/W1-2020
https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-73-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-73-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 Nov 2020
| 18 Nov 2020
EXPLORING SPATIAL PARAMETERS TO EVALUATE HUMAN WALKING ACCESSIBILITY OF URBAN GREEN SPACE
J. Jia
UNSW, School of Built Environment, Sydney, New South Wales, Australia
S. Zlatanova
UNSW, School of Built Environment, Sydney, New South Wales, Australia
K. Zhang
UNSW, School of Civil and Environmental Engineering, Sydney, New South Wales, Australia
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Short summary
Short summary
We investigate the impact of baseflow contribution on concentration–flow (C–Q) relationships across the Australian continent. We developed a novel Bayesian hierarchical model for six water quality variables across 157 catchments that span five climate zones. For sediments and nutrients, the C–Q slope is generally steeper for catchments with a higher median and a greater variability of baseflow contribution, highlighting the key role of variable flow pathways in particulate and solute export.
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S. Zlatanova, S. Dragicevic, and G. Sithole
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F. Fadli, N. Kutty, Z. Wang, S. Zlatanova, L. Mahdjoubi, P. Boguslawski, and V. Zverovich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, 2018
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373–378, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, 2018
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