Scale Effect and Similarity Analysing of the Extracted River Networks Features Based on DEMs with Different Spatial Resolutions

Yinjun Zhao; Qiongying Xie; Yuan Lu; Zhi Lee

doi:10.1051/e3sconf/20185303035

All issues

Volume 53 (2018)

E3S Web Conf., 53 (2018) 03035

References

Open Access

Issue		E3S Web Conf. Volume 53, 2018 2018 3^rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)


Article Number		03035
Number of page(s)		8
Section		Environment Engineering, Environmental Safety and Detection
DOI		https://doi.org/10.1051/e3sconf/20185303035
Published online		14 September 2018

Wharton, G. Progress in the use of drainage network indices for rainfall-runoff modelling and runoff prediction. Progress in Physical Geography. 18, 539-557(1994) [CrossRef] [Google Scholar]
Zhi-Yong Yin, Xinhao Wang. A cross - scale comparison of drainage basin characteristics derived from digital elevation models. Earth Surface Processes & Landforms. 24(6), 557-562(1999) [CrossRef] [Google Scholar]
Paz, A. R. D., Collischonn, W., Risso, A., & Mendes, C. A. B. Errors in river lengths derived from raster digital elevation models. Computers & Geosciences, 34(11), 1584-1596(2008) [CrossRef] [Google Scholar]
Peñas, F. J., Fernández, F., Calvo, M., Barquín, J., & Pedraz, L. Influence of data sources and processing methods on theoretical river network quality. Limnetica, 30(2), 197-216(2011) [Google Scholar]
Olivera, F. Extracting hydrologic information from spatial data for hms modeling. Journal of Hydrologic Engineering, 6(6), 524-530 (2001) [CrossRef] [Google Scholar]
Olivera, F., Valenzuela, M., Srinivasan, R., Choi, J., Cho, H., & Koka, S., et al. Arcgis-swat: a geodata model and gis interface for swat 1. Jawra Journal of the American Water Resources Association, 42(2), 295-309(2006) [CrossRef] [Google Scholar]
Reed, S. M. Deriving flow directions for coarseresolution (1-4 km) gridded hydrologic modeling. Water Resources Research, 39(9), 161-175(2003) [Google Scholar]
Quinn, P., Beven, K., Chevallier, P., & Planchon, O. The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrological Processes, 5(1), 59-79(1991) [CrossRef] [Google Scholar]
Maidment D. ArcHydro: GIS for Water Resources, ESRI Press. Redlands, California. (2002) [Google Scholar]
Miller D. Programs for DEM Analysis. Earth System Institute. Seattle, WA. 38 pp. (2003) [Google Scholar]
Cho S M, Lee M W. Sensitivity considerations when modeling hydrologic processes with digital elevation model. Journal of the American Water Resources Association. 37 (4): 931-934(2001) [CrossRef] [Google Scholar]
Kenward, T., Lettenmaier, D. P., Wood, E. F., & Fielding, E. Effects of digital elevation model accuracy on hydrologic predictions. Remote Sensing of Environment, 74(3), 432-444(2000) [CrossRef] [Google Scholar]
Hao, Z. C., & Jiangsu, N. The effect of spatial resolution and sampling method on the watershed features derived from dem. Journal of Glaciology & Geocryology, 26(5), 610-616(2004) [Google Scholar]
Wu X F, Liu C M and Wang Z G. Effect of horizontal resolution of raster DEM on drainage basin charscteristics. Journal of Natural Resources. 18(2): 148-155(2003) [Google Scholar]
Yi W H, Zhang J M, Kuang Y S, Mi L N. Effect of Horizontal Resolution on the Watershed Features Derived from DEM. Geography and Geo-Information Science. 23(2): 34-38(2007) [Google Scholar]
Liu L, Wang Z Y, YU G A et al. Statistical features of the drainage network in the Qinghai-Tibet Plateau and the effect of the uplift. Journal of Tsinghua University. 55 (9): 964-970(2015) [Google Scholar]
Ma J P. Quantitative study geomorphic indices and planation surfaces of the Taohe drainage system based on DEM. Lanzhou University. (2017) [Google Scholar]
Zhao, Y., & Ding, A. A decision classifier to classify rivers for river management based on their structure in china: an example from the yongding river. Water Science & Technology A Journal of the International Association on Water Pollution Research, 74(7), 1539(2016) [CrossRef] [Google Scholar]
Walker. J. P. and Willgoose. G R. On the effect of digital elevation model accuracy on hydrology and geomorphology. Water Resources Research. 35 (7): 2259-2268(1999) [CrossRef] [Google Scholar]
Wolock, D. M., & Mccabe, G. J. Differences in topographic characteristics computed from 100 - and 1000 - m resolution digital elevation model data. Hydrological Processes, 14(6), 987-1002(2015) [CrossRef] [Google Scholar]
Yang J L. The research of watershed characteristics based on multi-scaled digital elevation model. Fuzhou University (2010) [Google Scholar]
Sun A L, Yu Z B and Yang C G. Impact factors of contribution area threshold in extractingdrainage network for rivers in China. Journal of Hydraulic Engineering. 44(8): 901-908 (2013) [Google Scholar]
Lindsay, J. B. The practice of DEM stream burning revisited. Earth Surface Processes and Landforms. 41(5), 658-668(2016) [CrossRef] [Google Scholar]
Veitzer, S. A., & Gupta, V. K. Random self - similar river networks and derivations of generalized horton laws in terms of statistical simple scaling. Water Resources Research, 36(36), 1033-1048(2000) [CrossRef] [Google Scholar]
Zhang L, Fu X D, Wang G Q, et al. Structural selfsimilarity of river networks in the Middle Yellow River basin. Journal of Tsinghua University. 53(1): 24-28(2013) [Google Scholar]
Zhong Y, Jin C J and Pei T P. Statistical selfsimilarity of channel networks in Zagunao River catchments. Chinese Journal of Applied Ecology. 17(11): 2132(2006) [Google Scholar]
Liu H X and Wang Z Y. Morphological feature and distribution of typical river networks. Journal of Hydraulic Engineering. 38(11): 1354-1357(2007) [Google Scholar]
Abrahams, A. D. (1984). Channel networks: a geomorphological perspective. Water Resources Research, 20(2), 161-188(1984) [CrossRef] [Google Scholar]

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[1] Wharton, G. Progress in the use of drainage network indices for rainfall-runoff modelling and runoff prediction. Progress in Physical Geography. 18, 539-557(1994) [CrossRef] [Google Scholar]

[2] Zhi-Yong Yin, Xinhao Wang. A cross - scale comparison of drainage basin characteristics derived from digital elevation models. Earth Surface Processes & Landforms. 24(6), 557-562(1999) [CrossRef] [Google Scholar]

[3] Paz, A. R. D., Collischonn, W., Risso, A., & Mendes, C. A. B. Errors in river lengths derived from raster digital elevation models. Computers & Geosciences, 34(11), 1584-1596(2008) [CrossRef] [Google Scholar]

[4] Peñas, F. J., Fernández, F., Calvo, M., Barquín, J., & Pedraz, L. Influence of data sources and processing methods on theoretical river network quality. Limnetica, 30(2), 197-216(2011) [Google Scholar]

[5] Olivera, F. Extracting hydrologic information from spatial data for hms modeling. Journal of Hydrologic Engineering, 6(6), 524-530 (2001) [CrossRef] [Google Scholar]

[6] Olivera, F., Valenzuela, M., Srinivasan, R., Choi, J., Cho, H., & Koka, S., et al. Arcgis-swat: a geodata model and gis interface for swat 1. Jawra Journal of the American Water Resources Association, 42(2), 295-309(2006) [CrossRef] [Google Scholar]

[7] Reed, S. M. Deriving flow directions for coarseresolution (1-4 km) gridded hydrologic modeling. Water Resources Research, 39(9), 161-175(2003) [Google Scholar]

[8] Quinn, P., Beven, K., Chevallier, P., & Planchon, O. The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrological Processes, 5(1), 59-79(1991) [CrossRef] [Google Scholar]

[9] Maidment D. ArcHydro: GIS for Water Resources, ESRI Press. Redlands, California. (2002) [Google Scholar]

[10] Miller D. Programs for DEM Analysis. Earth System Institute. Seattle, WA. 38 pp. (2003) [Google Scholar]

[11] Cho S M, Lee M W. Sensitivity considerations when modeling hydrologic processes with digital elevation model. Journal of the American Water Resources Association. 37 (4): 931-934(2001) [CrossRef] [Google Scholar]

[12] Kenward, T., Lettenmaier, D. P., Wood, E. F., & Fielding, E. Effects of digital elevation model accuracy on hydrologic predictions. Remote Sensing of Environment, 74(3), 432-444(2000) [CrossRef] [Google Scholar]

[13] Hao, Z. C., & Jiangsu, N. The effect of spatial resolution and sampling method on the watershed features derived from dem. Journal of Glaciology & Geocryology, 26(5), 610-616(2004) [Google Scholar]

[14] Wu X F, Liu C M and Wang Z G. Effect of horizontal resolution of raster DEM on drainage basin charscteristics. Journal of Natural Resources. 18(2): 148-155(2003) [Google Scholar]

[15] Yi W H, Zhang J M, Kuang Y S, Mi L N. Effect of Horizontal Resolution on the Watershed Features Derived from DEM. Geography and Geo-Information Science. 23(2): 34-38(2007) [Google Scholar]

[16] Liu L, Wang Z Y, YU G A et al. Statistical features of the drainage network in the Qinghai-Tibet Plateau and the effect of the uplift. Journal of Tsinghua University. 55 (9): 964-970(2015) [Google Scholar]

[17] Ma J P. Quantitative study geomorphic indices and planation surfaces of the Taohe drainage system based on DEM. Lanzhou University. (2017) [Google Scholar]

[18] Zhao, Y., & Ding, A. A decision classifier to classify rivers for river management based on their structure in china: an example from the yongding river. Water Science & Technology A Journal of the International Association on Water Pollution Research, 74(7), 1539(2016) [CrossRef] [Google Scholar]

[19] Walker. J. P. and Willgoose. G R. On the effect of digital elevation model accuracy on hydrology and geomorphology. Water Resources Research. 35 (7): 2259-2268(1999) [CrossRef] [Google Scholar]

[20] Wolock, D. M., & Mccabe, G. J. Differences in topographic characteristics computed from 100 - and 1000 - m resolution digital elevation model data. Hydrological Processes, 14(6), 987-1002(2015) [CrossRef] [Google Scholar]

[21] Yang J L. The research of watershed characteristics based on multi-scaled digital elevation model. Fuzhou University (2010) [Google Scholar]

[22] Sun A L, Yu Z B and Yang C G. Impact factors of contribution area threshold in extractingdrainage network for rivers in China. Journal of Hydraulic Engineering. 44(8): 901-908 (2013) [Google Scholar]

[23] Lindsay, J. B. The practice of DEM stream burning revisited. Earth Surface Processes and Landforms. 41(5), 658-668(2016) [CrossRef] [Google Scholar]

[24] Veitzer, S. A., & Gupta, V. K. Random self - similar river networks and derivations of generalized horton laws in terms of statistical simple scaling. Water Resources Research, 36(36), 1033-1048(2000) [CrossRef] [Google Scholar]

[25] Zhang L, Fu X D, Wang G Q, et al. Structural selfsimilarity of river networks in the Middle Yellow River basin. Journal of Tsinghua University. 53(1): 24-28(2013) [Google Scholar]

[26] Zhong Y, Jin C J and Pei T P. Statistical selfsimilarity of channel networks in Zagunao River catchments. Chinese Journal of Applied Ecology. 17(11): 2132(2006) [Google Scholar]

[27] Liu H X and Wang Z Y. Morphological feature and distribution of typical river networks. Journal of Hydraulic Engineering. 38(11): 1354-1357(2007) [Google Scholar]

[28] Abrahams, A. D. (1984). Channel networks: a geomorphological perspective. Water Resources Research, 20(2), 161-188(1984) [CrossRef] [Google Scholar]