Angamuthu, B., Darby, S. E., and Nicholls, R. J.: Impacts of natural and human drivers on the multi-decadal morphological evolution of tidally-influenced deltas, P. Roy. Soc. A, 474, 20180396,
https://doi.org/10.1098/rspa.2018.0396, 2018.
a
Asefa, T., Kemblowski, M., McKee, M., and Khalil, A.: Multi-time scale stream
flow predictions: The support vector machines approach, J. Hydrol., 318, 7–16, 2006. a
Auerbach, L., Goodbred, S., Mondal, D., Wilson, C., Ahmed, K., Roy, K.,
Steckler, M., Small, C., Gilligan, J., and Ackerly, B.: Flood risk of natural
and embanked landscapes on the Ganges-Brahmaputra tidal delta plain, Nat. Clim. Change, 5, 153–157, 2015.
a,
b,
c,
d
Bação, F., Lobo, V., and Painho, M.: Geo-self-organizing map (Geo-SOM) for building and exploring homogeneous regions, in: Computational Science – ICCS 2005, 5th International Conference, Proceedings, Part III, 22–25 May 2005, Atlanta, GA, USA, 22–37, 2004. a
Bação, F., Caeiro, S., Painho, M., Goovaerts, P., and Costa, M.:
Delineation of estuarine management units: Evaluation of an automatic
procedure, in: Geostatistics for environmental applications, Springer, Berlin, Heidelberg, New York, 429–442, 2005a. a
Bação, F., Lobo, V., and Painho, M.: Self-organizing maps as
substitutes for
k-means clustering, in: Computational Science – ICCS 2005, 5th International Conference, Proceedings, Part III, 22–25 May 2005, Atlanta, GA, USA, 476–483, 2005b. a
Bação, F., Lobo, V., and Painho, M.: Applications of different
self-organizing map variants to geographical information science problems,
in: Self-Organising Maps: applications in geographic information science,
John Wiley & Sons Ltd, 21–44, 2008. a
Best, J. L., Ashworth, P. J., Sarker, M. H., and Roden, J. E.: The
Brahmaputra-Jamuna River, Bangladesh, Large rivers: geomorphology and
management, John Wiley & Sons Ltd, Chichester, West Sussex, England, 395–430, 2007.
a,
b
Caldwell, R. L. and Edmonds, D. A.: The effects of sediment properties on
deltaic processes and morphologies: A numerical modeling study, J. Geophys. Res.-Earth, 119, 961–982, 2014. a
Cazanacli, D., Paola, C., and Parker, G.: Experimental steep, braided flow:
application to flooding risk on fans, J. Hydrau. Eng., 128, 322–330, 2002. a
Céréghino, R. and Park, Y.-S.: Review of the self-organizing map (SOM) approach in water resources: commentary, Environ. Model. Softw., 24, 945–947, 2009. a
Choubin, B., Darabi, H., Rahmati, O., Sajedi-Hosseini, F., and Kløve, B.:
River suspended sediment modelling using the CART model: A comparative study
of machine learning techniques, Sci. Total Environ., 615, 272–281, 2018. a
Correggiari, A., Cattaneo, A., and Trincardi, F.: Depositional Patterns in the Late Holocene Po Delta System, in: River Deltas – Concepts, Models, and Examples, edited by: Giosan, L. and Bhattacharya, J. P., Society for Sedimentary Geology,
https://doi.org/10.2110/pec.05.83.0365, 2005.
a
Donchyts, G., Baart, F., Winsemius, H., Gorelick, N., Kwadijk, J., and van de Giesen, N.: Earth’s surface water change over the past 30 years, Nat. Clim. Change, 6, 810–813,
https://doi.org/10.1038/nclimate3111, 2016.
a
Duque, J. C., Dev, B., Betancourt, A., and Franco, J. L.: ClusterPy: Library
of spatially constrained clustering algorithms, Version 0.9.9., RiSE-group
(Research in Spatial Economics), EAFIT University, Colombia, available at:
http://www.rise-group.org (last access: July 2019), 2011. a
Duque, J. C., Royuela, V., and Noreña, M.: A stepwise procedure to
determinate a suitable scale for the spatial delimitation of urban slums, in:
Defining the Spatial Scale in Modern Regional Analysis, Springer, Heidelberg, 237–254, 2012b. a
Edmonds, D. A. and Slingerland, R. L.: Significant effect of sediment cohesion on delta morphology, Nat. Geosci., 3, 105–109, 2010.
a,
b
Edmonds, D. A., Paola, C., Hoyal, D. C., and Sheets, B. A.: Quantitative
metrics that describe river deltas and their channel networks, J. Geophys. Res., 116, F04022,
https://doi.org/10.1029/2010JF001955, 2011.
a,
b,
c,
d,
e,
f,
g
Fagherazzi, S., Bortoluzzi, A., Dietrich, W. E., Adami, A., Lanzoni, S.,
Marani, M., and Rinaldo, A.: Tidal networks: 1. Automatic network extraction
and preliminary scaling features from digital terrain maps, Water Resour. Res., 35, 3891–3904, 1999. a
Fisher, D. H.: Knowledge acquisition via incremental conceptual clustering,
Mach. Learn., 2, 139–172, 1987. a
Galloway, W. E.: Process framework for describing the morphological and stratigraphie evolution of deltaic depositional systems, in: Deltas, edited by: Broussard, M. E., Houston Geological Society, Houston, Texas, 87–98, 1975.
a,
b,
c
Gehlke, C. E. and Biehl, K.: Certain effects of grouping upon the size of the
correlation coefficient in census tract material, J. Am. Stat. Assoc., 29, 169–170, 1934. a
Goldstein, E. B., Coco, G., and Plant, N. G.: A review of machine learning
applications to coastal sediment transport and morphodynamics, Earth-Sci.
Rev., 194, 97–108,
https://doi.org/10.1016/j.earscirev.2019.04.022, 2019.
a,
b
Goodbred, S. L. and Kuehl, S. A.: Enormous Ganges-Brahmaputra sediment discharge during strengthened early Holocene monsoon, Geology, 28, 1083–1086, 2000.
a,
b,
c
Goodbred, S. L., Kuehl, S. A., Steckler, M. S., and Sarker, M. H.: Controls on facies distribution and stratigraphic preservation in the Ganges–Brahmaputra delta sequence, Sediment. Geol., 155, 301–316, 2003. a
Guo, D.: Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP), Int. J. Geogr. Inform. Sci., 22, 801–823, 2008.
a,
b
Hiatt, M. and Passalacqua, P.: Hydrological connectivity in river deltas: The
first-order importance of channel-island exchange, Water Resour. Res., 51, 2264–2282, 2015. a
Hirst, Frederick, C.: A report of the Nadia Rivers, The Bengal Secretariat Book Depot, Calcutta, 1916. a
Hoitink, A. J. F., Nittrouer, J. A., Passalacqua, P., Shaw, J. B., Langendoen, E. J., Huismans, Y., and van Maren, D. S.: Resilience of river deltas in the Athropocene, J. Geophys. Res.-Earth, 125, e2019JF005201,
https://doi.org/10.1029/2019JF005201, 2020.
a
Isikdogan, F., Bovik, A. C., and Passalacqua, P.: Surface Water Mapping by
Deep Lea
rning, IEEE J. Select. Top. Appl. Earth Obs. Remote Sens., 10, 4909–4918,
https://doi.org/10.1109/JSTARS.2017.2735443, 2017a.
a
Isikdogan, F., Bovik, A. C., and Passalacqua, P.: RivaMap: An Automated River
Analysis and Mapping Engine, Remote Sens. Environ., 202, 88–97,
https://doi.org/10.1016/j.rse.2017.03.044, 2017b.
a
Isikdogan, F., Bovik, A. C., and Passalacqua, P.: Learning a river network
extractor using an adaptive loss function, IEEE Geosci. Remote Sens. Lett., 15, 813–817,
https://doi.org/10.1109/LGRS.2018.2811754, 2018.
a,
b
Islam, M. R., Begum, S. F., Yamaguchi, Y., and Ogawa, K.: The Ganges and
Brahmaputra rivers in Bangladesh: basin denudation and sedimentation, Hydrol. Process., 13, 2907–2923, 1999. a
Jaffe, B. E. and Rubin, D. M.: Using nonlinear forecasting to learn the
magnitude and phasing of time-varying sediment suspension in the surf zone,
J. Geophys. Res.-Oceans, 101, 14283–14296, 1996. a
Jain, A. K., Murty, M. N., and Flynn, P. J.: Data clustering: a review, ACM
computing surveys (CSUR), ACM Comput. Surv., 31, 264–323, 1999. a
Jarriel, T., Isikdogan, F., Bovik, A. C., and Passalacqua, P.: Characterization of deltaic channel morphodynamics from imagery time series using the Channelized Response Variance, J. Geophys. Res.-Earth, 124, 3022–3042,
https://doi.org/10.1029/2019JF005118, 2019.
a,
b
Jarriel, T., Isikdogan, F., Bovik, A., and Passalacqua, P.: System wide channel network analysis reveals hot-spots of morphological change in
anthropogenically modified regions of the Ganges Brahmaputra Meghna Delta,
Scient. Rep., 10, 12823,
https://doi.org/10.1038/s41598-020-69688-3, 2020.
a,
b
Jerolmack, D. J. and Swenson, J. B.: Scaling relationships and evolution of
distributary networks on wave-influenced deltas, Geophys. Res. Lett., 34, L23402,
https://doi.org/10.1029/2007GL031823, 2007.
a
Kästner, K., Hoitink, A., Vermeulen, B., Geertsema, T. J., and Ningsih,
N. S.: Distributary channels in the fluvial to tidal transition zone, J. Geophys. Res.-Earth, 122, 696–710, 2017. a
Kehew, A. E. and Lord, M. L.: Origin and large-scale erosional features of
glacial-lake spillways in the northern Great Plains, Geol. Soc. Am. Bull., 97, 162–177, 1986. a
Kohonen, T.: Self-Organizing Maps, Springer, Berlin, Heidelberg, 2001.
a,
b
Komar, P. D.: Shapes of streamlined islands on Earth and Mars: Experiments and analyses of the minimum-drag form, Geology, 11, 651–654, 1983. a
Kuehl, S. A., Allison, M. A., Goodbred, S. L., and Kudrass, H.: The
Ganges-Brahmaputra Delta, in: River Deltas: Concepts, Models and Examples,
vol. 83, edited by: Giosan, L. B. J., J. Soc. Sediment. Geol., 83, 413–434, 2005. a
Liang, M., Kim, W., and Passalacqua, P.: How much subsidence is enough to change the morphology of river deltas?, Geophys. Res. Lett., 43, 10266–10276,
https://doi.org/10.1002/2016GL070519, 2016a.
a
Liang, M., Van Dyk, C., and Passalacqua, P.: Quantifying the patterns and
dynamics of river deltas under conditions of steady forcing and relative sea
level rise, J. Geophys. Res.-Earth, 121, 465–496,
https://doi.org/10.1002/2015JF003653, 2016b.
a,
b,
c
Marra, W. A., Kleinhans, M. G., and Addink, E. A.: Network concepts to describe channel importance and change in multichannel systems: test results for the Jamuna River, Bangladesh, Earth Surf. Proc. Land., 39, 766–778, 2014. a
Melesse, A., Ahmad, S., McClain, M., Wang, X., and Lim, Y.: Suspended sediment load prediction of river systems: An artificial neural network approach, Agr. Water Manage., 98, 855–866, 2011. a
Mojaddadi, H., Pradhan, B., Nampak, H., Ahmad, N., and Ghazali, A. H. B.:
Ensemble machine-learning-based geospatial approach for flood risk assessment
using multi-sensor remote-sensing data and GIS, Geomatics, Nat. Hazards Risk, 8, 1080–1102, 2017. a
Murray, A. B., Lazarus, E., Ashton, A., Baas, A., Coco, G., Coulthard, T.,
Fonstad, M., Haff, P., McNamara, D., Paola, C., Pelletier, J., and Reinhardt, L.: Geomorphology, complexity, and the emerging science of the Earth's surface, Geomorphology, 103, 496–505, 2009. a
Openshaw, S., Taylor, P. J., and Wrigley, N.: Statistical applications in the
spatial sciences, edited by: Wrigley, N., Pion, London, 127–144, 1979. a
Orton, G. and Reading, H.: Variability of deltaic processes in terms of
sediment supply, with particular emphasis on grain size, Sedimentology, 40,
475–512, 1993.
a,
b,
c
Park, Y.-S., Chon, T.-S., Kwak, I.-S., and Lek, S.: Hierarchical community
classification and assessment of aquatic ecosystems using artificial neural
networks, Sci. Total Environ., 327, 105–122, 2004. a
Passalacqua, P.: The Delta Connectome: A network-based framework for studying
connectivity in river deltas, Geomorphology, 277, 50–62, 2017. a
Passalacqua, P., Lanzoni, S., Paola, C., and Rinaldo, A.: Geomorphic signatures of deltaic processes and vegetation: The Ganges-Brahmaputra-Jamuna case study, J. Geophys. Res.-Earth, 118, 1838–1849, 2013.
a,
b,
c,
d,
e,
f,
g,
h,
i
Pekel, J.-F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution
mapping of global surface water and its long-term changes, Nature, 540,
418–422,
https://doi.org/10.1038/nature20584, 2016.
a
Pethick, J. and Orford, J. D.: Rapid rise in effective sea-level in southwest
Bangladesh: its causes and contemporary rates, Global Planet. Change, 111, 237–245, 2013.
a,
b
Pickering, J. L., Goodbred, S. L., Reitz, M. D., Hartzog, T. R., Mondal, D. R., and Hossain, M. S.: Late Quaternary sedimentary record and Holocene channel avulsions of the Jamuna and Old Brahmaputra River valleys in the upper Bengal delta plain, Geomorphology, 227, 123–136, 2014. a
Postma, G.: An analysis of the variation in delta architecture, Terra Nova, 2, 124–130, 1990.
a,
b
Rahman, R. and Salehin, M.: Flood risks and reduction approaches in Bangladesh, in: Disaster risk reduction approaches in Bangladesh, Springer, Tokyo, 65–90, 2013. a
Reitz, M. D., Pickering, J. L., Goodbred, S. L., Paola, C., Steckler, M. S.,
Seeber, L., and Akhter, S. H.: Effects of tectonic deformation and sea level
on river path selection: Theory and application to the Ganges-Brahmaputra-Meghna River Delta, J. Geophys. Res.-Earth, 120, 671–689, 2015. a
Restrepo, J. D., Kjerfve, B., Correa, I. D., and González, J.:
Morphodynamics of a high discharge tropical delta, San Juan River, Pacific
coast of Colombia, Mar. Geol., 192, 355–381, 2002. a
Rinaldo, A., Fagherazzi, S., Lanzoni, S., Marani, M., and Dietrich, W. E.:
Tidal networks: 2. Watershed delineation and comparative network morphology,
Water Resour. Res., 35, 3905–3917, 1999. a
Rubin, D. M.: Use of forecasting signatures to help distinguish periodicity,
randomness, and chaos in ripples and other spatial patterns, Chaos, 2, 525–535, 1992. a
Sassi, M. G., Hoitink, A. J. F., de Brye, B., and Deleernnijder, E.: Downstream hydraulic geometry of a tidally influenced river delta, J. Geophys. Res.-Earth, 117, F04022,
https://doi.org/10.1029/2012JF002448, 2012.
a
Schmelter, M., Hooten, M., and Stevens, D. K.: Bayesian sediment transport
model for unisize bed load, Water Resour. Res., 47, W11514,
https://doi.org/10.1029/2011WR010754, 2011.
a
Shortridge, J. E., Guikema, S. D., and Zaitchik, B. F.: Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds, Hydrol. Earth Syst. Sci., 20, 2611–2628,
https://doi.org/10.5194/hess-20-2611-2016, 2016.
a
Silva, T. A. and Bigg, G. R.: Computer-based identification and tracking of
Antarctic icebergs in SAR images, Remote Sens. Environ., 94, 287–297, 2005. a
Singh, I. B.: The Ganga River, Large rivers: geomorphology and management, John Wiley & Sons Ltd, Chichester, West Sussex, England, 347–371, 2007. a
Syvitski, J. P. and Saito, Y.: Morphodynamics of deltas under the influence of humans, Global Planet. Change, 57, 261–282, 2007.
a,
b,
c,
d
Syvitski, J. P., Vörösmarty, C. J., Kettner, A. J., and Green, P.:
Impact of humans on the flux of terrestrial sediment to the global coastal
ocean, Science, 308, 376–380, 2005. a
Tamene, L., Park, S., Dikau, R., and Vlek, P.: Analysis of factors determining sediment yield variability in the highlands of northern Ethiopia,
Geomorphology, 76, 76–91, 2006. a
Tejedor, A., Longjas, A., Zaliapin, I., and Foufoula-Georgiou, E.: Delta
channel networks: 1. A graph-theoretic approach for studying connectivity and
steady state transport on deltaic surfaces, Water Resour. Res., 51, 3998–4018, 2015a. a
Tejedor, A., Longjas, A., Zaliapin, I., and Foufoula-Georgiou, E.: Delta
channel networks: 2. Metrics of topologic and dynamic complexity for delta
comparison, physical inference, and vulnerability assessment, Water Resour. Res., 51, 4019–4045, 2015b. a
Tejedor, A., Longjas, A., Caldwell, R., Edmonds, D. A., Zaliapin, I., and
Foufoula-Georgiou, E.: Quantifying the signature of sediment composition on
the topologic and dynamic complexity of river delta channel networks and
inferences toward delta classification, Geophys. Res. Lett., 43, 3280–3287, 2016. a
Tobler, W. R.: Geographical filters and their inverses, Geogr. Anal., 1, 234–253, 1969. a
Trigg, M. A., Bates, P. D., Wilson, M. D., Schumann, G., and Baugh, C.:
Floodplain channel morphology and networks of the middle Amazon River, Water
Resour. Res., 48, W10504,
https://doi.org/10.1029/2012WR011888, 2012.
a
Valentine, A. and Kalnins, L.: An introduction to learning algorithms and potential applications in geomorphometry and Earth surface dynamics, Earth Surf. Dynam., 4, 445–460,
https://doi.org/10.5194/esurf-4-445-2016, 2016.
a
Vila, D. and Machado, L.: Shape and radiative properties of convective systems observed from infrared satellite images, Int. J. Remote Sens., 25, 4441–4456, 2004. a
Werner, B.: Complexity in natural landform patterns, Science, 284, 102–104,
1999. a
Wilson, C., Goodbred, S., Small, C., Gilligan, J., Sams, S., Mallick, B., and
Hale, R.: Widespread infilling of tidal channels and navigable waterways in
human-modified tidal deltaplain of southwest Bangladesh, Element. Sci. Anthrop., 5, 78,
https://doi.org/10.1525/elementa.263, 2017.
a,
b,
c
Wilson, C. A. and Goodbred, S. L.: Construction and maintenance of the
Ganges-Brahmaputra-Meghna delta: linking process, morphology, and stratigraphy, Annu. Rev. Mar. Sci., 7, 67–88, 2015.
a,
b,
c,
d
Wolinsky, M. A., Edmonds, D. A., Martin, J., and Paola, C.: Delta allometry:
Growth laws for river deltas, Geophys. Res. Lett., 37, L21403,
https://doi.org/10.1029/2010GL044592, 2010.
a,
b
Wright, L. D. and Coleman, J. M.: River delta morphology: wave climate and the role of the subaqueous proffile, Science, 176, 282–284, 1972.
a,
b
Wu, J., Feng, Z., Gao, Y., and Peng, J.: Hotspot and relationship
identification in multiple landscape services: a case study on an area with
intensive human activities, Ecol. Indicat., 29, 529–537, 2013. a
