Skip to main content

Advertisement

Log in

Effect of DEM sources on distributed hydrological model to results of runoff and inundation area

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

Physically based distributed hydrologic modeling, rainfall-runoff-inundation (RRI) model is used to evaluate runoff uncertainty on different topography data using five DEM products such as ASTER GDEM, SRTM, GMTED2010, HydroSHEDS, and GTOPO30. The five DEM products are input to the RRI model for the case study on the Nan River basin (13,000 km2 of the watershed area) in Thailand. The performance of the DEM products, on runoff and inundation area, was evaluated from storm event in 2011 using statistical and detection analysis, compared with observation data. Overall of the DEM products evaluated with both analyses, the SRTM performed the best to compare with average observed data. For the simulated runoff of GMTED2010 firstly closed to the observed runoff to provide the highest correlation and smallest Root Mean Square Error values. The inundation resulted from SRTM was the highest accuracy to compare with the RADARSAT-2 product from GISTDA Thailand. The study presents that uncertainty of DEM produced from satellite and their potential a sensor and system developers to create better products for improving runoff and improved flood analysis for disaster mitigation approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Source: Sayama et al. (2012)

Fig. 2
Fig. 3

Source: Pakoksung and Takagi (2016)

Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • ASTER GDEM Validation Team (2012) ASTER Global DEM Validation Summary Report. http://www.ersdac.or.jp. Accessed on 19 Oct 2012

  • Carabajal CC, Harding DJ, Jean-Paul B, Danielson JJ, Gesch DB, Suchdeo VP (2011) Evaluation of the global multi-resolution terrain elevation data 2010 (GMTED2010) using ICESat geodetic control. In: Proceedings of SPIE-the international society for optical engineering, Nanjing, China

  • Chintalapudi S, Sharif HO, Xie H (2014) Sensitivity of distributed hydrologic simulation to ground and satellite based rainfall products. Water 6(5):1221–1245

    Article  Google Scholar 

  • Chow VT, David RM, Larry WM (1988) Applied hydrology, 6th edn. McGraw Hill International Editions, New York

    Google Scholar 

  • Danielson JJ, Gesch DB (2011) Global multi-resolution terrain elevation data 2010 (GMTED2010), U.S. Geological Survey Open-File Report, U.S. Geological Survey: Sioux Falls

  • Fisher PF, Tate NJ (2006) Causes and consequences of error in digital elevation models. Prog Phys Geogr 30:467–489

    Article  Google Scholar 

  • Forkuor G, Maathuis B (2012) Comparison of SRTM and ASTER derived digital elevation models over two regions in Ghana implications for hydrological and environmental modeling. In: Piacentini T (ed) Studies on environmental and applied geomorphology. InTech, Rijeka, pp 219–240

    Google Scholar 

  • Gamba P, Dell’Acqua F, Houshmand B (2002) SRTM data characterization in urban areas. In: XXXIV ISPRS Proceeding, September 9-13, 2002. Graz, Austria

  • Gonga-Saholiariliva N, Gunnell Y, Petit C, Mering C (2011) Techniques for quantifying the accuracy of gridded elevation models and for mapping uncertainty in digital terrain analysis. Prog Phys Geogr 35:739–764

    Article  Google Scholar 

  • Guth PL (2006) Geomorphometry from SRTM-comparison to NED. Photogramm Eng Remote Sens 72(3):269–277

    Article  Google Scholar 

  • Haile AT, Rientjes THM (2005) Effects of LIDAR DM resolution in flood modelling: a model sensitivity study for the city of Tegucigalpa, Honduras. In: ISPRS Proceeding, September 12–14, 2005, Enschede, the Netherlands

  • Hebeler F, Purves RS (2009) The inuence of elevation uncertainty on derivation of topographic indices. Geomorphology 111:4–16

    Article  Google Scholar 

  • Jarvis A, Rubiano J, Nelson A, Farrow A, Mulligan M (2004) Practical use of SRTM data in the tropics: comparisons with digital elevation models generated from cartographic data. International Centre for Tropical, Agriculture (CIAT), Cali, p 32

  • Jarvis A, Reuter HI, Nelson A, Guevara E (2012) Hole-filled SRTM for the globe version 4. CGIAR-CSI SRTM 90 m database 2008. http://srtm.csi.cgiar.org. Accessed 1 July 2012

  • Kolecka N, Kozak J (2013) Assessment of the accuracy of SRTM C- and X-Band high mountain elevation data: a case study of the Polish Tatra Mountains, Pure Appl. Geophysics 171:897–912

    Google Scholar 

  • Lehner B (2013) Quality assessment In HydroSHEDS technical documentation, 1st edn. World Wildlife Fund US, Washington DC, p 1314

    Google Scholar 

  • Li J, Chapman MA, Sun X (2006) Validation of satellite-derived digital elevation model from in-track IKONOS stereo imagery. Ontario Ministry of Transportation, Toronto

    Google Scholar 

  • Nawaratha NB, Ao T, Kazama S, Sawamoto M, Takeuchi K (2000) Influence of human activities on the BTOPMC runoff simulations in large-scale. In: XXIX IAHR congress proceeding, theme a, pp 93–99

  • Nikolakopoulos KG, Kamaratakis EK, Chrysoulakis N (2006) SRTM vs. ASTER elevation products comparison for two regions in Crete, Greece. Int J Remote Sens 27:4819–4838

    Article  Google Scholar 

  • Pakoksung K, Takagi M (2015a) Remote sensing data application for flood modeling. JAST 26:115–122

    Google Scholar 

  • Pakoksung K, Takagi M (2015b) Digital elevation models on accuracy validation and bias correction in vertical. Model Earth Syst Environ 2(11):1–13

    Google Scholar 

  • Pakoksung K, Takagi M (2016) Effect of satellite based rainfall products on river basin responses of runoff simulation on flood event. Model Earth Syst Environ 2(143):1–14. https://doi.org/10.1007/s40808-016-0200-0

    Article  Google Scholar 

  • Sayama T, Fukami K, Tanaka S, Takeuchi K (2010) Rainfall-runoff-inundation analysis for flood risk assessment at the regional scale. In: Proceeding of the fifth conference of asia pacific association of hydrology and water resources (APHW), pp 568–576

  • Sayama T, Ozawa G, Kawakami K, Nabesaka S, Fukami K (2012) Rainfall-runoff-inundation analysis of Pakistan flood 2010 at the Kabul River Basin. Hydrol Sci J Hydrol Sci J 57(2):298–312

    Article  Google Scholar 

  • Sayama T, Tatebe Y, Iwami Y, Tanaka S (2015) Hydrologic sensitivity of flood runoff and inundation: 2011 Thailand floods in the Chao Phraya River basin. Nat Hazards Earth Syst Sci 15:1617–1630

    Article  Google Scholar 

  • Shen D, Wang J, Cheng X, Ryi Y, Ye S (2015) Integration of 2-D hydraulic model and high-resolution lidar-derived DEM for floodplain flow modeling. Hydrol Earth Syst Sci 19:3605–3616. https://doi.org/10.5194/hess-19-3605-2015

    Article  Google Scholar 

  • Sriariyawat A, Pakoksung P, Sayama T, Koomtanakulvong S (2013) Approach to estimate the flood damage in Sukhothai province using flood simulation. J Disaster Res 8(3):406–414

    Article  Google Scholar 

  • USGS GTOPO30 (2008). http://lta.cr.usgs.gov/GTOPO30. Accessed Jan 2015

  • USGS Data sources of HydroSHEDS (2008). http://hydrodheds.cr.usgs.gov/datasource. Accessed 31 Jan 2008

  • Van de Sande B, Lansen J, Hoyng C (2012) Sensitivity of coastal flood risk assessments to digital elevation models. Water 4:568–579. https://doi.org/10.3390/w4030568

    Article  Google Scholar 

Download references

Acknowledgements

The study cannot be conducted without the data provided from various agencies, e.g., the Royal Irrigation Department, Land Development Department, and GISTDA Thailand, etc. Kochi University of Technology has been supported in part with Takagi laboratory.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kwanchai Pakoksung.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pakoksung, K., Takagi, M. Effect of DEM sources on distributed hydrological model to results of runoff and inundation area. Model. Earth Syst. Environ. 7, 1891–1905 (2021). https://doi.org/10.1007/s40808-020-00914-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-020-00914-7

Keywords

Navigation