Applying the Response Units (RU) Concept for ILWRM

  • Wolfgang-Albert Flügel
  • Jörg Pechstädt
  • Anita Flemming


Integrated land and water resources management (ILWRM) must be understood as a continuous process of coordinating sustainable land and water resources management with the aims (1) to maximize the socioeconomic development and social welfare without (2) compromising the sustainability of vital ecosystems and their hydrological ecosystem functions (ESF) and ecosystem services (ESS). From a practical point of view ILWRM has to provide the administrative and technological means to (1) manage the available surface and subsurface water resource in the landscape of a river basin, (2) guarantee their sustainable recharge dynamics both in terms of water quantity and quality, and (3) protect water users and the society against destructive hazards like floods, droughts, and erosion.


Surface Runoff River Runoff Shuttle Radar Topography Mission Runoff Generation Water Balance Component 
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  1. Boston University (2008) MODIS/TERRA land cover type 96-day L3 global 1 km ISIN Grid V004, Eurasien subset. Accessed March 2008
  2. FAO-UNESCO (2003) The Digital Soil Map of the World. Version 3.6Google Scholar
  3. Fink M, Krause P, Kralisch S, Bende-Michl U and Flügel W.-A (2007) Development and application of the modelling system J2000-S for the EU-water framework directive. Advances in Geosciences 11:123–130Google Scholar
  4. Flügel W-A (1995) Delineating hydrological response units (HRU’s) by GIS analysis for regional hydrological modelling using PRMS/MMS in the drainage basin of the River Bröl, Germany. Hydrol Process 9:423–436CrossRefGoogle Scholar
  5. Flügel W-A (1996) Hydrological response units (HRU) as modelling entities for hydrological river basin simulation and their methodological potential for modelling complex environmental process systems. Results from the Sieg catchment. Die Erde 127:42–62Google Scholar
  6. Flügel W-A (2000) Systembezogene Entwicklung regionaler hydrologischer Modellsysteme. Wasser and Boden 52(3):14–17Google Scholar
  7. Flügel W.-A (2007) The adaptive integrated data information system (AIDIS) for global water research. Water Resources Management (WARM) Journal 21:199–210Google Scholar
  8. Flügel W-A, Märker M (2003) The response units concept and its application for the assessment of hydrologically related erosion processes in semiarid catchments of Southern Africa. ASTM-STP 1420:163–177Google Scholar
  9. Flügel W-A, Rijsberman F (2003) The challenge program “Water and Food” for river basin scale water resources assessment. Proc MODSIM’03 1:434–439Google Scholar
  10. GWP-TAC, Global Water Partnership—Technical Advisory Committee (2000) Integrated Water Resources Management. TAC Background Paper, No. 4, 67 pGoogle Scholar
  11. Helmschrot J (2006a) An integrated, landscape-based approach to model the formation and hydrological functioning of wetlands in semiarid headwater catchments of the Umzimvubu River, South Africa. Sierke, Göttingen, p 314. ISBN: 3-933893-75–5Google Scholar
  12. Helmschrot J (2006b) Assessment of temporal and spatial effects of landuse changes on wetland hydrology: a case study from South Africa. In: Kotowski W, Maltby E, Miroslaw–Swiatek D, Okruszko T, Szatylowicz J (eds) Wetlands: modelling, monitoring, management, Taylor and Francis. A.A. Balkema, the Netherlands, pp 197–204Google Scholar
  13. Kralisch S, Böhm B, Böhm C, Busch C, Fink M, Fischer C, Schwartze C, Selsam P, Zander F, Flügel W-A (2012) ILMS—a Software Platform for Integrated Environmental Management. In: Seppelt R, Voinov AA, Lange S, Bankamp D (eds) iEMSs Proceedings, 2012 International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany. (
  14. Krause P (2002) Quantifying the impact of land use changes on the water balance of large catchments using the J2000 model. Phys Chem Earth 27:663–673CrossRefGoogle Scholar
  15. Krause P, Flügel W-A (2005) Model integration and development of modular modelling systems. Adv Geosci 4:1–2CrossRefGoogle Scholar
  16. Krause P, Hanisch S (2009) Simulation and analysis of the impact of projected climate change on the spatially distributed water balance in Thuringia, Germany. Adv Geosci 7:1–16Google Scholar
  17. Krause P, Bende-Michl U, Bäse F, Fink M, Flügel W-A, Pfennig B (2006) Investigations in a Mesoscale Catchment—Hydrological Modelling in the Gera Catchment. Adv Geosci 9:53–61CrossRefGoogle Scholar
  18. Nepal S, Krause P, Flügel W-A, Fink M, Fischer C (2013) Understanding the hydrological system dynamics of a glaciated alpine catchment in the Himalayan region using the J2000 hydrological model. Hydrol Process 28:1329–1344. doi:10.1002/hyp.9627Google Scholar
  19. Pfennig B, Kipka H, Wolf M, Fink M, Krause P, Flügel W-A (2009) Development of an extended spatially distributed routing scheme and its impact on process oriented hydrological modelling results. IAHS Publ 333:37–43Google Scholar
  20. Willaartsa BA, Volk M, Aguilera PA (2012) Assessing the ecosystem services supplied by freshwater flows in Mediterranean agroecosystems. Agric Water Manage 105:21–31CrossRefGoogle Scholar
  21. Wolf M, Pfennig B, Krause P, Flügel W-A (2009) Landscape dependent derivation of J2000 model parameters for hydrological modelling in Ungauged Basins. IAHS Publ 333:1–14Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  • Wolfgang-Albert Flügel
    • 1
  • Jörg Pechstädt
    • 2
  • Anita Flemming
    • 3
  1. 1.Department of Geoinformatics, Hydrology and ModellingFriedrich Schiller University, Jena (FSU-Jena)JenaGermany
  2. 2.Project Management and DevelopmentBavarian Environment AgencyHofGermany
  3. 3.Transport and Spatial Planning InstituteUniversity of Applied SciencesErfurtGermany

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