Technical Papers
Mar 6, 2020

Development of Topography-Based River Width Estimation Model for Medium-Sized Mountainous Watersheds

Publication: Journal of Hydrologic Engineering
Volume 25, Issue 5

Abstract

River width is an essential physical variable for the simulation of rainfall-runoff processes using distributed hydrologic models. In this paper, a model of river width integrating the effects of an upstream drainage area and terrain topography is proposed for the derivation of a spatial variation of a river width of medium-sized mountainous watersheds based on a digital elevation model (DEM). Tests of the model for three medium-sized watersheds, including Daheba, Changhua, and Yuqian, suggest that the spatial variation of the river width is dominated by topography in terms of slope near the riverbed. Wider river reaches are often located at flatter terrains with a larger upstream drainage area. In addition, the river width estimated method of the TOPographic Kinematic Approximation and Integration (TOPKAPI) model, which only uses the upstream drainage area to estimate river widths, is compared with the proposed model. Relative to a percent bias of 15%–19% of the river width model (GeoRW), the error of the method in TOPKAPI is obviously larger, at about 32.9%–65.4%. A comparison of the proposed model with the river width estimated method of the TOPKAPI model based on the upstream drainage area justifies its usefulness for medium-sized mountainous watersheds.

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Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request.

Acknowledgments

This study was supported by the National Key Research and Development Program of China (Grant Nos. 2018YFC1508103 and 2016YFC0402705), the National Natural Science Foundation of China (Grant Nos. 51679061 and 51979070), the Key R&D Program of Ningxia (Grant No. 2018BEG02010), and the Fundamental Research Funds for the Central Universities (Grant No. 2016B04714).

References

Akbari, G. H., and R. Barati. 2012. “Comprehensive analysis of flooding in unmanaged catchments.” Proc. Inst. Civ. Eng. Water Manage. 165 (4): 229–238. https://doi.org/10.1680/wama.10.00036.
Allen, G. H., and T. M. Pavelsky. 2015. “Patterns of river width and surface area revealed by the satellite-derived North American River Width data set.” Geophys. Res. Lett. 42 (2): 395–402. https://doi.org/10.1002/2014GL062764.
Andreadis, K. M., G. J. Schumann, and T. Pavelsky. 2013. “A simple global river bankfull width and depth database.” Water Resour. Res. 49 (10): 7164–7168. https://doi.org/10.1002/wrcr.20440.
Azmat, M., F. Laio, and D. Poggi. 2015. “Estimation of water resources availability and mini-hydro productivity in high-altitude scarcely-gauged watershed.” Water Resour. Manage. 29 (14): 5037–5054. https://doi.org/10.1007/s11269-015-1102-z.
Barati, R., S. Rahimi, and G. H. Akbari. 2012. “Analysis of dynamic wave model for flood routing in natural rivers.” Water Sci. Eng. 5 (3): 243–258. https://doi.org/10.3882/j.issn.1674-2370.2012.03.001.
Bayley, P. B. 2010. “The flood pulse advantage and the restoration of river-floodplain systems.” River Res. Appl. 6 (2): 75–86. https://doi.org/10.1002/rrr.3450060203.
Bonett, D. G., and T. A. Wright. 2000. “Sample size requirements for Pearson, Kendall, and Spearman correlations.” Psychometrika 65 (1): 23–28. https://doi.org/10.1007/BF02294183.
Brookfield, A. E., and A. Edward. 2013. “Implications of hypothetic flow on temperature-based estimates of groundwater/surface water interactions.” J. Hydrol. Eng. 18 (10): 1250–1261. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000726.
Carpentier, S., M. Konz, R. Fischer, G. Anagnostopoulos, K. Meusburger, and K. Schoeck. 2012. “Geophysical imaging of shallow subsurface topography and its implication for shallow landslide susceptibility in the Urseren Valley, Switzerland.” J. Appl. Geophys. 83 (6): 46–56. https://doi.org/10.1016/j.jappgeo.2012.05.001.
Chao, L. J., K. Zhang, Z. J. Li, Y. L. Zhu, J. F. Wang, and Z. B. Yu. 2018. “Geographically weighted regression based methods for merging satellite and gauge precipitation.” J. Hydrol. 558 (Mar): 275–289. https://doi.org/10.1016/j.jhydrol.2018.01.042.
Dietrich, W. E., R. Reiss, M. Hsu, and D. R. Montgomery. 2010. “A process-based model for colluvial soil depth and shallow landsliding using digital elevation data.” Hydrol. Processes 9 (3): 383–400. https://doi.org/10.1002/hyp.3360090311.
Durand, M., K. M. Andreadis, and D. E. Alsdorf. 2008. “Estimation of bathymetric depth and slope from data assimilation of swath altimetry into a hydrodynamic model.” Geophys. Res. Lett. 35 (20): 295–296. https://doi.org/10.1029/2008GL034150.
Durand, M., E. Rodriguez, and D. E. Alsdorf. 2010. “Estimating river depth from remote sensing swath interferometry measurements of river height, slope, and width.” IEE J. Sel. Top. Appl. Earth Obs. Remote Sensing 3 (1): 20–31. https://doi.org/10.1109/JSTARS.2009.2033453.
Dutta, D., S. Herath, and K. Musiake. 2015. “Flood inundation simulation in a river basin using a physically based distributed hydrologic model.” Hydrol. Processes 14 (3): 497–519. https://doi.org/10.1002/(SICI)1099-1085(20000228)14:3%3C497::AID-HYP951%3E3.0.CO;2-U.
Feng, D., and L. Tierney. 2012. “MRI tissue classification using high resolution Bayesian Hidden Markov Normal Mixture Models.” J. Am. Stat. Assoc. 107 (497): 102–119. https://doi.org/10.1198/jasa.2011.ap09529.
Ferrer-Boix, C., S. M. Chartrand, and M. A. Hassan. 2016. “On how spatial variations of channel width influence river profile curvature.” Geophys. Res. Lett. 43 (12): 6313–6323. https://doi.org/10.1002/2016GL069824.
Finnegan, N. J., G. Roe, D. R. Montgomery, and B. Hallet. 2005. “Controls on the channel width of rivers: Implications for modeling fluvial incision of bedrock.” Geology 33 (3): 229–243. https://doi.org/10.1130/G21171.1.
Fleming, M., and V. Neary. 2004. “Continuous hydrologic modeling study with the hydrologic modeling system.” J. Hydrol. Eng. 9 (3): 175–183. https://doi.org/10.1061/(ASCE)1084-0699(2004)9:3(175).
Han, G., and C. Q. Liu. 2004. “Water geochemistry controlled by carbonate dissolution: A study of the river waters draining karst-dominated terrain, Guizhou Province, China.” Chem. Geol. 204 (1): 1–21. https://doi.org/10.1016/j.chemgeo.2003.09.009.
Hossain, M. A., T. Y. Gan, and A. B. M. Baki. 2013. “Assessing morphological changes of the Ganges river using satellite images.” Quat. Int. 304 (7): 142–155. https://doi.org/10.1016/j.quaint.2013.03.028.
Ichoku, C., A. Karnieli, and I. Verchovsky. 1996. “Application of fractal techniques to the comparative evaluation of two methods of extracting channel networks from digital elevation models.” Water Resour. Res. 32 (2): 389–399. https://doi.org/10.1029/95WR02762.
Jaballah, M., B. Camenen, and L. Pénard. 2015. “Alternate bar development in an alpine river following engineering works.” Adv. Water Resour. 81 (Jul): 103–113. https://doi.org/10.1016/j.advwatres.2015.03.003.
Jansen, J. D. 2006. “Flood magnitude-frequency and lithologic control on bedrock river incision in post-orogenic terrain.” Geomorphology 82 (1): 39–57. https://doi.org/10.1016/j.geomorph.2005.08.018.
Kail, J., and C. Wolter. 2011. “Analysis and evaluation of large-scale river restoration planning in Germany to better link river research and management.” River Res. Appl. 27 (8): 985–999. https://doi.org/10.1002/rra.1382.
Li, Z. J., and K. Zhang. 2008. “Comparison of three GIS-based hydrological models.” J. Hydrol. Eng. 13 (5): 364–370. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:5(364).
Liu, Z. Y., and E. Todini. 2010. “Assessing the TOPKAPI non-linear reservoir cascade approximation by means of a characteristic lines solution.” Hydrol. Processes 19 (10): 1984–2005. https://doi.org/10.1002/hyp.5662.
Loukas, A., and L. Vasiliades. 2014. “Streamflow simulation methods for ungauged and poorly gauged watersheds.” Nat. Hazard. Earth Syst. Sci. 14 (7): 1641–1661. https://doi.org/10.5194/nhess-14-1641-2014.
Maheshwari, B. L., K. F. Walker, and T. A. Mcmahon. 1995. “Effects of regulation on the flow regime of the river Murray, Australia.” River Res. Appl. 10 (1): 15–38. https://doi.org/10.1002/rrr.3450100103.
Mir, R. A., S. K. Jain, A. K. Lohani, and A. K. Saraf. 2018. “Glacier recession and glacial lake outburst flood studies in Zanskar basin, western Himalaya.” J. Hydrol. 564 (Sep): 376–396. https://doi.org/10.1016/j.jhydrol.2018.05.031.
Paik, K. 2012. “Simulation of landscape evolution using a global flow path search method.” Environ. Modell. Software 33 (7): 35–47. https://doi.org/10.1016/j.envsoft.2012.01.005.
Paiva, R. C. D., W. Collischonn, and C. E. M. Tucci. 2011. “Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach.” J. Hydrol. 406 (3): 170–181. https://doi.org/10.1016/j.jhydrol.2011.06.007.
Pavelsky, T. M. 2014. “Using width-based rating curves from spatially discontinuous satellite imagery to monitor river discharge.” Hydrol. Processes 28 (6): 3035–3040. https://doi.org/10.1002/hyp.10157.
Pavelsky, T. M., and L. C. Smith. 2008. “RivWidth: A software tool for the calculation of river widths from remotely sensed imagery.” Geoscience Remote Sens. Lett. IEEE 5 (1): 70–73. https://doi.org/10.1109/LGRS.2007.908305.
Phillips, J. D. 2012. “Log-jams and avulsions in the San Antonio river delta, Texas.” Earth Surf. Processes Landforms 37 (9): 936–950. https://doi.org/10.1002/esp.3209.
Piégay, H., S. E. Darby, and E. Mosselman. 2005. “A review of techniques available for delimiting the erodible river corridor: A sustainable approach to managing bank erosion.” River Res. Appl. 21 (7): 773–789. https://doi.org/10.1002/rra.881.
Ragettli, S., and F. Pellicciotti. 2012. “Calibration of a physically based, spatially distributed hydrological model in a glaciered basin: On the use of knowledge from glaciometeorological processes to constrain model parameters.” Water Resour. Res. 48 (3): 3509. https://doi.org/10.1029/2011WR010559.
Ramirez, J., and A. Jarvis. 2008. International center for tropical agriculture. Washington, DC: CGIAR Research Cente.
Reed, S., J. Schaake, and Z. Zhang. 2007. “A distributed hydrologic model and threshold frequency-based method for flash flood forecasting at ungauged locations.” J. Hydrol. 337 (3): 402–420. https://doi.org/10.1016/j.jhydrol.2007.02.015.
Shen, C., and M. S. Phanikumar. 2010. “A process-based, distributed hydrologic model based on a large-scale method for surface–subsurface coupling.” Adv. Water Resour. 33 (12): 1524–1541. https://doi.org/10.1016/j.advwatres.2010.09.002.
Sinclair, S., and G. G. S. Pegram. 2013. “A sensitivity assessment of the TOPKAPI model with an added infiltration module.” J. Hydrol. 479 (4): 100–112. https://doi.org/10.1016/j.jhydrol.2012.11.061.
Sofia, G., P. Tarolli, and F. Cazorzi. 2015. “Downstream hydraulic geometry relationships: Gathering reference reach-scale width values from LiDAR.” Geomorphology 250 (2): 236–248. https://doi.org/10.1016/j.geomorph.2015.09.002.
Spearman, C. 1904. “The proof and measurement of association between two things.” Am. J. Psychol. 15 (1): 72–101. https://doi.org/10.2307/1412159.
Steiger, J., E. Tabacchi, S. Dufour, D. Corenblit, and J. L. Peiry. 2005. “Hydrogeomorphic processes affecting riparian habitat within alluvial channel-floodplain river systems: A review for the temperate zone.” River Res. Appl. 21 (7): 719–737. https://doi.org/10.1002/rra.879.
Sun, W., J. Fan, G. Wang, H. Ishidaira, S. Bastola, and J. Yu. 2018. “Calibrating a hydrological model in a regional river of the Qinghai-Tibet plateau using river water width determined from high spatial resolution satellite images.” Remote Sens. Environ. 214 (Sep): 100–114. https://doi.org/10.1016/j.rse.2018.05.020.
Tejerina-Garro, F. L., and B. D. Mérona. 2010. “Spatial variability of biotic and abiotic factors of the aquatic habitat in French Guiana.” River Res. Appl. 17 (2): 157–169. https://doi.org/10.1002/rrr.619.
Thompson, J. A., J. C. Bell, and C. A. Butler. 2015. “Digital elevation model resolution: Effects on terrain attribute calculation and quantitative soil-landscape modeling.” Geoderma. 100 (1): 67–89. https://doi.org/10.1016/S0016-7061(00)00081-1.
Wang, P. J., and R. Y. Wang. 2012. “A generalized width function of fractal river network for the calculation of hydrologic responses.” Fractals 10 (2): 157–171. https://doi.org/10.1142/S0218348X02001038.
White, J. Q., G. B. Pasternack, and H. J. Moir. 2010. “Valley width variation influences riffle-pool location and persistence on a rapidly incising gravel-bed river.” Geomorphology 121 (3): 206–221. https://doi.org/10.1016/j.geomorph.2010.04.012.
Whited, D., J. A. Stanford, and J. S. Kimball. 2002. “Application of airborne multispectral digital imagery to quantify riverine habitats at different base flows.” River Res. Appl. 18 (6): 583–594. https://doi.org/10.1002/rra.695.
Yamagishi, Y., H. Yanaka, K. Suzuki, S. Tsuboi, T. Isse, and M. Obayashi. 2010. “Visualization of geoscience data on Google Earth: Development of a data converter system for seismic tomographic models.” Comput. Geosci. 36 (3): 373–382. https://doi.org/10.1016/j.cageo.2009.08.007.
Yamazaki, D., F. O’Loughlin, and M. A. Trigg. 2014. “Development of the global width database for large rivers.” Water Resour. Res. 50 (4): 3467–3480. https://doi.org/10.1002/2013WR014664.
Yannopoulos, S., E. Eleftheriadou, and S. Mpouri. 2015. “Implementing the requirements of the European flood directive: The case of ungauged and poorly gauged watersheds.” Environ. Processes 2 (1): 1–17. https://doi.org/10.1007/s40710-015-0094-2.
Yao, C., Z. J. Li, Z. B. Yu, and K. Zhang. 2012. “A priori parameter estimates for a distributed, grid-based Xinanjiang model using geographically based information.” J. Hydrol. 468 (Oct): 47–62. https://doi.org/10.1016/j.jhydrol.2012.08.025.
Yao, C., J. Ye, Z. He, S. Bastola, K. Zhang, and Z. J. Li. 2019. “Evaluation of flood prediction capability of the distributed Grid-Xinanjiang model driven by weather research and forecasting precipitation.” J. Flood Risk Manage. 12 (S1): e12544. https://doi.org/10.1111/jfr3.12544.
Yao, C., K. Zhang, Z. B. Yu, Z. J. Li, and Q. L. Li. 2014. “Improving the flood prediction capability of the Xinanjiang model in ungauged nested catchments by coupling it with the geomorphologic instantaneous unit hydrograph.” J. Hydrol. 517 (Sep): 1035–1048. https://doi.org/10.1016/j.jhydrol.2014.06.037.
Yilmaz, K. K., H. V. Gupta, and T. Wagener. 2008. “A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model.” Water Resour. Res. 44 (9): 542–547. https://doi.org/10.1029/2007WR006716.
Zhang, K., X. Xue, Y. Hong, N. Gourley, Z. Lu, Z. Wan, and R. Hong. 2016. “iCRESTRIGRS: A coupled modeling system for cascading flood-landslide disaster forecasting.” Hydrol. Earth Syst. Sci. 20 (12): 5035–5048. https://doi.org/10.5194/hess-20-5035-2016.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 25Issue 5May 2020

History

Received: Mar 11, 2019
Accepted: Sep 25, 2019
Published online: Mar 6, 2020
Published in print: May 1, 2020
Discussion open until: Aug 6, 2020

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College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, PR China. ORCID: https://orcid.org/0000-0003-2121-8909. Email: [email protected]
Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, PR China. Email: [email protected]
Jingfeng Wang [email protected]
Associate Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30318. Email: [email protected]
Associate Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, PR China (corresponding author). Email: [email protected]
College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, PR China. Email: [email protected]

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