Assessment of drainage network analysis methods to rank sediment yield hotspots

References

• Aga, A.O., Melesse, A.M., and Chane, B., 2020. An alternative empirical model to estimate watershed sediment yield based on hydrology and geomorphology of the Basin in data-scarce Rift Valley Lake Regions, Ethiopia. Geosciences, 10, 31. doi:https://doi.org/10.3390/geosciences10010031
   Web of Science ®Google Scholar
• Al-Dulaimi, G.A. and Younes, M.K., 2017. Assessment of potable water quality in Baghdad City, Iraq. Air, Soil and Water Research, 10, 1178622117733441. doi:https://doi.org/10.1177/1178622117733441
   Web of Science ®Google Scholar
• Alexakis, D.D., Hadjimitsis, D.G., and Agapiou, A., 2013. Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus. Atmospheric Research, 131, 108–124. doi:https://doi.org/10.1016/j.atmosres.2013.02.013
   Web of Science ®Google Scholar
• Al-Wagdany, A., et al., 2020. Effect of the stream extraction threshold on the morphological characteristics of arid basins, fractal dimensions, and the hydrologic response. Journal of African Earth Sciences, 172, 103968. doi:https://doi.org/10.1016/j.jafrearsci.2020.103968
   Web of Science ®Google Scholar
• Arabameri, A., Cerda, A., and Tiefenbacher, J.P., 2019. Spatial pattern analysis and prediction of gully erosion using novel hybrid model of entropy-weight of evidence. Water, 11 (6), 1129. doi:https://doi.org/10.3390/w11061129
   Web of Science ®Google Scholar
• Ariza-Villaverde, A.B., Jiménez-Hornero, F.J., and Gutiérrez De Ravé, E., 2013. Multifractal analysis applied to the study of the accuracy of DEM-based stream derivation. Geomorphology, 197, 85–95. doi:https://doi.org/10.1016/j.geomorph.2013.04.040
   Web of Science ®Google Scholar
• Bizzi, S. and Lerner, D.N., 2015. The use of stream power as an indicator of channel sensitivity to erosion and deposition processes. River Research and Applications, 31 (1), 16–27. doi:https://doi.org/10.1002/rra.2717
   Web of Science ®Google Scholar
• Boltzmann, L. 1877. On the nature of gas molecules. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 3(18), 320–320.
   Google Scholar
• Bracken, L.J., et al., 2015. Sediment connectivity: a framework for understanding sediment transfer at multiple scales. Earth Surface Processes and Landforms, 40 (2), 177–188. doi:https://doi.org/10.1002/esp.3635
   Web of Science ®Google Scholar
• Brandolini, P., et al., 2016. Response of terraced slopes to a very intense rainfall event and relationships with land abandonment: a case study from Cinque Terre (italy). Land Degradation and Development, 29 (3), 630–642. doi:https://doi.org/10.1002/ldr.2672
   Web of Science ®Google Scholar
• Burbank, D. and Anderson, R., 2001. Chapter 9. Deformation and geomorphology at intermediate time scales. In Tectonic geomorphology. Oxford: Blackwell Science, 175–199.
   Google Scholar
• Chen, L., et al., 2019. A fractal model of hydraulic conductivity for saturated frozen soil. Water, 11 (2), 369. doi:https://doi.org/10.3390/w11020369
   Web of Science ®Google Scholar
• Cossart, É., Lissak, C., and Viel, V., 2017. Geomorphic analysis of catchments through connectivity framework: old wine in new bottle or efficient new paradigm? Géomorphologie : relief, processus. Environment, 23, 281–287.
   Google Scholar
• De Cola, L. and Lam, -N.S.-N., 2002. A fractal paradigm for geography. Fractals in Geography. New Jersey: PTR Prentice-Hall, Inc., 75–83.
   Google Scholar
• De Freitas Sampaio, L., Crestana, S. and Rodrigues, V. G. S. 2019. Study of gully erosion in South Minas Gerais (Brazil) using fractal and multifractal analysis. ed. IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018—Volume 6, 217–222.
   Google Scholar
• Dou, W., et al., 2020. Pore structure, fractal characteristics and permeability prediction of tight sandstones: a case study from Yanchang formation, Ordos Basin, China. Marine and Petroleum Geology, 104737.
   Web of Science ®Google Scholar
• Efthimiou, N. and Lykoudi, E., 2016. Soil erosion estimation using the EPM model. Bulletin of the Geological Society of Greece, 50 (1), 305–314. doi:https://doi.org/10.12681/bgsg.11731
   Google Scholar
• El Hamdouni, R., et al., 2008. Assessment of relative active tectonics, southwest border of the Sierra Nevada (southern Spain). Geomorphology, 96 (1–2), 150–173. doi:https://doi.org/10.1016/j.geomorph.2007.08.004
   Web of Science ®Google Scholar
• Estrany, J., et al., 2019. Hydrogeomorphological analysis and modelling for a comprehensive understanding of flash-flood damaging processes: the 9th October 2018 event in North-eastern Mallorca. Natural Hazards and Earth System Sciences Discussion, 2019, 1–36.
   Google Scholar
• Fiorentino, M., Claps, P., and Singh, V.P., 1993. An entropy-based morphological analysis of river basin networks. Water Resources Research, 29 (4), 1215–1224. doi:https://doi.org/10.1029/92WR02332
   Web of Science ®Google Scholar
• Gaidzik, K. and Ramírez-Herrera, M.T., 2017. Geomorphic indices and relative tectonic uplift in the Guerrero sector of the Mexican forearc. Geoscience Frontiers, 8 (4), 885–902. doi:https://doi.org/10.1016/j.gsf.2016.07.006
   Web of Science ®Google Scholar
• García‐Ruiz, J.M., et al., 2017. Ongoing and emerging questions in water erosion studies. Land Degradation and Development, 28 (1), 5–21. doi:https://doi.org/10.1002/ldr.2641
   Web of Science ®Google Scholar
• Hamza, V., Prasannakumar, V. and Pratheesh, P. 2019. Modelling and interpretation of channel profile anomalies through stream length gradient (SL) indexes and GIS: A case study from the Vamanapuram River, Kerala, India. Environmental Research, Engineering and Management, 75(2), 60–73.
   Google Scholar
• Hassan, M.K. and Kurths, J., 2002. Can randomness alone tune the fractal dimension? Physica A: Statistical Mechanics and Its Applications, 315 (1–2), 342–352. doi:https://doi.org/10.1016/S0378-4371(02)01242-6
   Web of Science ®Google Scholar
• Heckmann, T., et al. 2015. Indices of hydrological and sediment connectivity-state of the art and way forward. Paper presented at the EGU General Assembly Conference Abstracts. Held 12–17 April, 2015 in Vienna, Austria. id.12793.
   Google Scholar
• Heckmann, T., et al., 2018. Indices of sediment connectivity: opportunities, challenges and limitations. Earth-Science Reviews, 187, 77–108.
   Web of Science ®Google Scholar
• Hu, Q., et al., 2020. Machine learning and fractal theory models for landslide susceptibility mapping: case study from the Jinsha River Basin. Geomorphology, 351, 106975. doi:https://doi.org/10.1016/j.geomorph.2019.106975
   Web of Science ®Google Scholar
• Ildoromi, A.R., et al., 2019. Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu Basin, Northwest of Hamadan Province, Iran. Physics and Chemistry of the Earth, Parts A/B/C, 114, 102803. doi:https://doi.org/10.1016/j.pce.2019.10.002.
   Web of Science ®Google Scholar
• Imeson, A.C. and Prinsen, H.A.M., 2004. Vegetation patterns as biological indicators for identifying runoff and sediment source and sink areas for semi-arid landscapes in Spain. Agriculture, Ecosystems & Environment, 104 (2), 333–342.
   Web of Science ®Google Scholar
• Jaafari, A., et al., 2014. GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran. International Journal of Environmental Science and Technology, 11 (4), 909–926. doi:https://doi.org/10.1007/s13762-013-0464-0
   Web of Science ®Google Scholar
• Kalantari, Z., et al., 2019. Assessing flood probability for transportation infrastructure based on catchment characteristics, sediment connectivity and remotely sensed soil moisture. Science of Total Environment, 661, 393–406. doi:https://doi.org/10.1016/j.scitotenv.2019.01.009
   PubMed Web of Science ®Google Scholar
• Keum, J., et al., 2017. Entropy applications to water monitoring network design: a review. Entropy, 19 (11), 613. doi:https://doi.org/10.3390/e19110613
   Web of Science ®Google Scholar
• Kiani-Harchegani, M. and Sadeghi, S.H., 2020. Practicing land degradation neutrality (LDN) approach in the Shazand Watershed, Iran. Science of Total Environment, 698, 134319. doi:https://doi.org/10.1016/j.scitotenv.2019.134319
   PubMed Web of Science ®Google Scholar
• Kiani-Harchegani, M., Sadeghi, S.H., and Asadi, H., 2018. Comparing grain size distribution of sediment and original soil under raindrop detachment and raindrop-induced and flow transport mechanism. Hydrological Sciences Journal, 28 (1), 312–323. doi:https://doi.org/10.1080/02626667.2017.1414218
   Web of Science ®Google Scholar
• Kouli, M., Soupios, P., and Vallianatos, F., 2009. Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Environmental Geology, 57 (3), 483–497.
   Web of Science ®Google Scholar
• Kusák, M. 2014. Methods of fractal geometry used in the study of complex geomorphic networds. AUC Geographica, 49(2), 99–110.
   Google Scholar
• Li, J., et al., 2019. Combining box counting-dimension with a fuzzy synthetic evaluation model based quantitative evaluation on soil and water rrosion of Lake Dianchi Basin, China. ed. IOP Conference Series: Materials Science and Engineering, 052063.
   Google Scholar
• Li, Y., et al., 2020a. Anthropogenic disturbances and precipitation affect Karst sediment discharge in the nandong underground river system in Yunnan, Southwest China. Sustainability, 12 (7), 3006. doi:https://doi.org/10.3390/su12073006
   Web of Science ®Google Scholar
• Li, Y., et al., 2020b. Evaluation of soil erosion and sediment deposition rates by the 137Cs fingerprinting technique at different hillslope positions on a catchment. Environmental Monitoring and Assessment, 192 (11), 717. doi:https://doi.org/10.1007/s10661-020-08680-w
   PubMed Web of Science ®Google Scholar
• Lin, G.-F. and Chen, L.-H., 2006. Identification of homogeneous regions for regional frequency analysis using the self-organizing map. Journal of Hydrology, 324, 1–9.
   Web of Science ®Google Scholar
• Llena, M., et al., 2019. The effects of land use and topographic changes on sediment connectivity in mountain catchments. Science of Total Environment, 660, 899–912.
   PubMed Web of Science ®Google Scholar
• López-Vicente, M., et al., 2013. Predicting runoff and sediment connectivity and soil erosion by water for different land use scenarios in the Spanish Pre-Pyrenees. Catena, 102, 62–73.
   Web of Science ®Google Scholar
• López-Vicente, M., et al., 2015. Assessment of soil redistribution at catchment scale by coupling a soil erosion model and a sediment connectivity index (Central Spanish Pre-Pyrenees). Cuadernos de investigación geográfica/Geography Research Letters, 127–147.
   Google Scholar
• Mahoney, D.T., Fox, J.F., and Al Aamery, N., 2018. Watershed erosion modeling using the probability of sediment connectivity in a gently rolling system. Journal of Hydrology, 561, 862–883.
   Web of Science ®Google Scholar
• Malekinezhad, H., et al., 2017. Flood hazard mapping using fractal dimension of drainage network in Hamadan City, Iran. Journal of Environmental Engineering and Science, 12 (4), 86–92.
   Web of Science ®Google Scholar
• Mandelbrot, B., 1967. How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science, 156 (3775), 636–638.
   PubMed Web of Science ®Google Scholar
• Marçal, M., Brierley, G., and Lima, R., 2017. Using geomorphic understanding of catchment-scale process relationships to support the management of river futures: Macaé Basin, Brazil. Applied Geography, 84, 23–41.
   Web of Science ®Google Scholar
• Martínez-Mena, M., Deeks, L., and Williams, A., 1999. An evaluation of a fragmentation fractal dimension technique to determine soil erodibility. Geoderma, 90 (1–2), 87–98.
   Web of Science ®Google Scholar
• Moussi, A., et al., 2018. GIS-based analysis of the stream length-gradient index for evaluating effects of active tectonics: a case study of Enfidha (North-East of Tunisia). Arabian Journal of Geosciences, 11 (6), 123.
   Web of Science ®Google Scholar
• Nadal-Romero, E., et al., 2014. Effects of slope angle and aspect on plant cover and species richness in a humid Mediterranean badland. Earth Surface Process of Landforms, 39, 1705–1716. doi:https://doi.org/10.1002/esp.3549
   Web of Science ®Google Scholar
• Najafi, S., et al., 2020. Sediment connectivity concepts and approaches. Catena, 196, 104880.
   Web of Science ®Google Scholar
• Najafi, S., Sadeghi, S.H.R., and Heckmann, T., 2018. Analyzing structural sediment connectivity pattern in a Taham watershed, Iran. Journal of Watershed Engineering and Management, 10 (2), 192.203. (In Persian). doi:https://doi.org/10.22092/IJWMSE.2018.116466
   Google Scholar
• Nasre, R., et al., 2013. Soil erosion mapping for land resources management in Karanji watershed of Yavatmal district, Maharashtra using remote sensing and GIS techniques. Indian Journal of Soil Conservation, 41 (3), 248–256.
   Google Scholar
• Noori, H., Siadatmousavi, S.M., and Mojaradi, B., 2016. Assessment of sediment yield using RS and GIS at two sub-basins of Dez Watershed, Iran. International Soil and Water Conservation Research, 4, 199–206.
   Web of Science ®Google Scholar
• Nur, A.A., et al., 2016. Fractal characteristics of geomorphology units as Bouguer anomaly manifestations in Bumiayu. Central Java, Indonesia: IOP Publishing, 012019.
   Google Scholar
• Ouarda, T., et al., 2008. Intercomparison of regional flood frequency estimation methods at ungauged sites for a Mexican case study. Journal of Hydrology, 348 (1–2), 40–58.
   Web of Science ®Google Scholar
• Piégay, H., et al., 2005. A review of techniques available for delimiting the erodible river corridor: a sustainable approach to managing bank erosion. River Research and Applications, 21 (7), 773–789.
   Web of Science ®Google Scholar
• Poeppl, R.E., et al., 2019. Combining soil erosion modeling with connectivity analyses to assess lateral fine sediment input into agricultural streams. Water, 11 (9), 1793.
   Web of Science ®Google Scholar
• Pournader, M., et al., 2018. Spatial prediction of soil erosion susceptibility: an evaluation of the maximum entropy model. Earth Science Informatics, 11 (3), 389–401.
   Web of Science ®Google Scholar
• Prosser, I.P., et al., 2001. Corrigendum to: large-scale patterns of erosion and sediment transport in river networks, with examples from Australia. Marine & Freshwater Research, 52 (5), 817.
   Web of Science ®Google Scholar
• Rodrigo-Comino, J., et al., 2020. Integrating in situ measurements of an index of connectivity to assess soil erosion processes in vineyards. Hydrological Science Journal. doi:https://doi.org/10.1080/02626667.2020.1711914
   Web of Science ®Google Scholar
• Rodrigo-Comino, J., Keesstra, S.D., and Cerdà, A., 2018. Connectivity assessment in Mediterranean vineyards using improved stock unearthing method, LiDAR and soil erosion field surveys. Earth Surface Processes and Landforms, 43, 2193–2206. doi:https://doi.org/10.1002/esp.4385
   Web of Science ®Google Scholar
• Sadeghi, S.H.R., Kiani-Harchegani, M., and Younesi, H.A., 2012. Suspended sediment concentration and particle size distribution, and their relationship with heavy metal content. Journal of Earth System Science, 121 (1), 63–71.
   Web of Science ®Google Scholar
• Sandercock, P. and Hooke, J., 2011. Vegetation effects on sediment connectivity and processes in an ephemeral channel in SE Spain. Journal of Arid Environments, 75 (3), 239–254.
   Web of Science ®Google Scholar
• Sepehri, M., et al. 2018. Suburban flood hazard mapping in Hamadan City, Iran. Proceedings of the Institution of Civil Engineers - Municipal Engineer, 1–25.
   Web of Science ®Google Scholar
• Shannon, C., 1948. A mathematical theory of communication. The Bell System Technical Journal, 27 (3), 379–423.
   Google Scholar
• Sherriff, S. C., et al. 2019. Influence of land management on soil erosion, connectivity, and sediment delivery in agricultural catchments: Closing the sediment budget. Land Degradation & Development.
   Google Scholar
• Shit, P.K., Nandi, A.S., and Bhunia, G.S., 2015. Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India. Modeling Earth Systems and Environment, 1 (3), 28.
   Web of Science ®Google Scholar
• Snelder, T.H. and Biggs, B.J., 2002. Multiscale river environment classification for water resources management 1. JAWRA Journal of the American Water Resources Association, 38 (5), 1225–1239.
   Web of Science ®Google Scholar
• Snow, R.S., 1989. Fractal sinuosity of stream channels. Pure and Applied Geophysics, 131 (1–2), 99–109.
   Web of Science ®Google Scholar
• Sougnez, N., Van Wesemael, B., and Vanacker, V., 2011. Low erosion rates measured for steep, sparsely vegetated catchments in southeast Spain. Catena, 84, 1–11.
   Web of Science ®Google Scholar
• Stosic, T., Stosic, B., and Singh, V.P., 2017. Optimizing streamflow monitoring networks using joint permutation entropy. Journal of Hydrology, 552, 306–312.
   Web of Science ®Google Scholar
• Su, H.T. and You, G.J.Y., 2014. Developing an entropy-based model of spatial information estimation and its application in the design of precipitation gauge networks. Journal of Hydrology, 519, 3316–3327.
   Web of Science ®Google Scholar
• Troiani, F., et al., 2014. Spatial analysis of stream length-gradient (SL) index for detecting hillslope processes: a case of the Gállego River headwaters (Central Pyrenees, Spain). Geomorphology, 214, 183–197.
   Web of Science ®Google Scholar
• Troiani, F., et al., 2017. Stream Length-gradient Hotspot and Cluster Analysis (SL-HCA) to fine-tune the detection and interpretation of knickzones on longitudinal profiles. Catena, 156, 30–41.
   Web of Science ®Google Scholar
• Troiani, F. and Della Seta, M., 2008. The use of the stream length–gradient index in morphotectonic analysis of small catchments: a case study from Central Italy. Geomorphology, 102, 159–168.
   Web of Science ®Google Scholar
• Turnbull, L. and Wainwright, J., 2019. From structure to function: understanding shrub encroachment in drylands using hydrological and sediment connectivity. Ecological Indicators, 98, 608–618.
   Web of Science ®Google Scholar
• Xu, Y., et al. 2014. Fractal model for surface erosion of cohesive sediments. Fractals, 22(3), 1440006.
   Web of Science ®Google Scholar
• Yang, S.-Y., et al., 2019. Characterization of landslide distribution and sediment yield in the TsengWen River Watershed, Taiwan. Catena, 174, 184–198.
   Web of Science ®Google Scholar
• Yao, J.-B., et al., 2020. Drought analysis based on the information diffusion and fractal technology, a case study of winter wheat in China. Applied Engineering in Agriculture. doi:https://doi.org/10.13031/aea.13829.
   Web of Science ®Google Scholar
• Yegemova, S., et al., 2018. Identifying the key information and land management plans for water conservation under dry weather conditions in the border areas of the Syr Darya River in Kazakhstan. Water, 10, 1754. doi:https://doi.org/10.3390/w10121754
   Web of Science ®Google Scholar
• Zhang, K., et al., 2020. Comparison of fractal models using NMR and CT analysis in low permeability sandstones. Marine and Petroleum Geology, 112, 104069.
   Web of Science ®Google Scholar
• Zhang, S., et al., 2017. The influence of changes in land use and landscape patterns on soil erosion in a watershed. Science of Total Environment, 574, 34–45.
   PubMed Web of Science ®Google Scholar
• Zhang, S., Guo, Y., and Wang, Z., 2015. Correlation between flood frequency and geomorphologic irregularity of rivers network–a case study of Hangzhou China. Journal of Hydrology, 527, 113–118.
   Web of Science ®Google Scholar
• Zhou, T., et al., 2020. Fractal analysis of power grid faults and cross correlation for the faults and meteorological factors. IEEE Access, 8, 79935–79946.
   Web of Science ®Google Scholar