Skip to main content

Modeling the Effects of Land Use Change and Climate Change on Stream Flow Using GIS and a Hydrological Model

  • Chapter
Monitoring and Modeling of Global Changes: A Geomatics Perspective

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

Abstract

This paper reports our research effort aiming to investigate the applicability of integrating a hydrological model and the Hydrological Predictions for the Environment (HYPE) model with a geographic information system (GIS) to examine the effect of land use change and climate change on stream-flows with the Kamo River basin (KRB) located in the central Honshu island, Japan as a case study. The goal of this study was to provide important information for understanding water discharge variations as a basis to guide water resource managers in environmental change decisions in this river basin. This goal was accomplished by two steps (i) comparing HYPE-generated hydrographs for various meteorological data from history to present at current land use (S1 and S2); and (ii) comparing HYPE-generated hydrographs for historical and current land use scenarios at current climate (S3 and S4). The calibration and validation results suggest that HYPE performs well in the case study site for daily simulations. The results of S1–S2 indicate that with the impact of climate change, the trend of annual and seasonal stream flows at the Kamo River Basin outlet would decrease. However, there is no evidence to indicate that the flood risk would be decreasing. The results of S3–S4 show that the conversion of forest, glass and agriculture (FGA) into urban area would induce high peak flows, a reduction in annual evaporation and an increase in annual surface runoff.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Arheimer B, Dahne J, Donnelly C (2012) Climate change impact on riverine nutrient load and land-based remedial measures of the Baltic sea action plan. Ambio 41(6):600–612

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour Assoc 34(1):74–89

    Article  Google Scholar 

  • Bergström S (1976) Development and application of a conceptual runoff model for Scandinavian catchments. Ph.D. thesis, SMHI reports RHO no. 7, Norrköping

    Google Scholar 

  • Beskow S, Norton LD, Mello CR (2012) Hydrological prediction in a tropical watershed dominated by oxisols using a distributed hydrological model. Water Resour Manag 27(2):341–363

    Article  Google Scholar 

  • Chu JG, Zhang C, Wang YL, Zhou HC, Shoemaker CA (2012) A watershed rainfall data recovery approach with application to distributed hydrological models. Hydrol Process 26(13):1937–1948

    Article  Google Scholar 

  • Cornelissen T, Diekkrüger B, Giertz S (2013) A comparison of hydrological models for assessing the impact of land use and climate change on discharge in a tropical catchment. J Hydrol 498:221–236

    Article  Google Scholar 

  • Cuo L, Zhang Y, Gao Y, Hao Z, Cairang L (2013) The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China. J Hydrol 502:37–52

    Article  Google Scholar 

  • Dechmi F, Burguete J, Skhiri A (2012) SWAT application in intensive irrigation systems: model modification, calibration and validation. J Hydrol 470:227–238

    Article  Google Scholar 

  • Delpla I, Jung AV, Baures E, Clement M, Thomas O (2009) Impacts of climate change on surface water quality in relation to drinking water production. Environ Int 35(8):1225–1233

    Article  Google Scholar 

  • Dixon B, Earls J (2012) Effects of urbanization on streamflow using SWAT with real and simulated meteorological data. Appl Geogr 35(1–2):174–190

    Article  Google Scholar 

  • Donnelly C, Yang W, Dahne J (2014) River discharge to the Baltic Sea in a future climate. Clim Chang 122(1–2):157–170

    Article  Google Scholar 

  • Flügel W (1995) Delineating hydrological response units by geographical information-system analyses for regional hydrological modeling using PRMS/MMS in the drainagebasin of the River Brol, Germany. Hydrol Process 9:423–436

    Article  Google Scholar 

  • Hamed KH, Rao AR (1998) A modified Mann-Kendall trend test for autocorrelated data. J Hydrol 204(1–4):182–196

    Article  Google Scholar 

  • Hao XM, Chen YN, Xu CC, Li WH (2008) Impacts of climate change and human activities on the surface runoff in the Tarim River basin over the last fifty years. Water Resour Manag 22(9):1159–1171

    Article  Google Scholar 

  • Jiang S, Jomaa S, Rode M (2013) Identification and uncertainty analysis of a hydrological water quality model with varying input data information content. EGU General Assembly Conference Abstracts

    Google Scholar 

  • Jomaa S, Jiang S, Rode M (2013) Effect of increased bioenergy crop production on hydrological response and nutrient emission in central Germany. EGU General Assembly Conference Abstracts

    Google Scholar 

  • Koch S, Bauwe A, Lennartz B (2013) Application of the SWAT model for a tile-drained lowland catchment in North-Eastern Germany on subbasin scale. Water Resour Manag 27(3):791–805

    Article  Google Scholar 

  • Liang X, Lettenmaier DP, Wood EF, Burges SJ (1994) A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J Geophys Res Atmos (1984–2012) 99(D7):14415–14428

    Article  Google Scholar 

  • Lindstrom G, Pers C, Rosberg J, Stromqvist J, Arheimer B (2010) Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales. Hydrol Res 41(3–4):295–319

    Article  Google Scholar 

  • Luo P, He B, Takara K et al (2011) Spatiotemporal trend analysis of recent river water quality conditions in Japan. J Environ Monit 13:2819–2829

    Article  Google Scholar 

  • Luo P, Takara K, Apip, He B, Nover D (2014a) Palaeoflood simulation of the Kamo River basin using a grid-cell distributed rainfall run-off model. J Flood Risk Manag 7(2):182–192

    Article  Google Scholar 

  • Luo P, Takara K, Apip, He B, Nover D (2014b) Reconstruction assessment of historical land use: a case study in the Kamo River basin, Kyoto, Japan. Comput Geosci 63:106–115

    Article  Google Scholar 

  • Öztürk M, Copty NK, Saysel AK (2013) Modeling the impact of land use change on the hydrology of a rural watershed. J Hydrol 497:97–109

    Article  Google Scholar 

  • Singh A, Gosain AK (2011) Climate-change impact assessment using GIS-based hydrological modelling. Water Int 36(3):386–397

    Article  Google Scholar 

  • Strömqvist J, Dahne J, Donnelly C, Lindström G, Rosberg J, Pers C, Yang W, Arheimer B (2009) Using recently developed global data sets for hydrological predictions. IAHS Publ. 333

    Google Scholar 

  • Strömqvist J, Arheimer B, Dahné J, Donnelly C, Lindström G (2012) Water and nutrient predictions in ungauged basins: set-up and evaluation of a model at the national scale. Hydrol Sci J 57(2):229–247

    Article  Google Scholar 

  • Swank WT, Crossley DA (1988) Forest hydrology and ecology at Coweta. Springer, New York

    Book  Google Scholar 

  • Tucci CEM (2003) Processos hidrológicos e os impactos do uso do solo. In: Tucci CEM, Braga B (eds) Climae recursos hídricos no Brasil. ABRH, Porto Alegre, pp 31–76

    Google Scholar 

  • Yu YS, Zou SM, Whittemore D (1993) Nonparametric trend analysis of water-quality data of rivers in Kansas. J Hydrol 150(1):61–80

    Article  Google Scholar 

  • Zhang A, Zhang C, Fu G, Wang B, Bao Z, Zheng H (2012) Assessments of impacts of climate change and human activities on runoff with SWAT for the Huifa River Basin, Northeast China. Water Resour Manag 26(8):2199–2217

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank the supports from the “One Hundred Talents Program” of Chinese Academy of Sciences and National Natural Science Foundation of China (No. 41471460). The first author would like to thank China Scholarship Council (CSC) for his PhD scholarships.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Maochuan Hu or Pingping Luo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Hu, M., He, B., Luo, P., Takara, K., Duan, W. (2015). Modeling the Effects of Land Use Change and Climate Change on Stream Flow Using GIS and a Hydrological Model. In: Li, J., Yang, X. (eds) Monitoring and Modeling of Global Changes: A Geomatics Perspective. Springer Remote Sensing/Photogrammetry. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9813-6_2

Download citation

Publish with us

Policies and ethics