Simulation of the impacts of land use/cover and climatic changes on the runoff characteristics at the mesoscale

Ecological Modelling

Volumn 196, Issue 1-2, 2006, Pages 45-61

  Samaniego, Luis ^a   Bárdossy, András ^b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Climate change; Downscaling; Land use change; Master equation; Monte Carlo simulation; Runoff characteristics

Indexed keywords

CLIMATE CHANGE; ENVIRONMENTAL IMPACT; HYDROLOGY; LAND USE; MONTE CARLO METHODS; NONLINEAR SYSTEMS;

DOWNSCALING; LAND USE CHANGE; MASTER EQUATION; RUNOFF CHARACTERISTICS;

RUNOFF;

ANTHROPOGENIC EFFECT; CATCHMENT; CLIMATE CHANGE; LAND COVER; LAND USE; METEOROLOGY; MONTE CARLO ANALYSIS; RIVER BASIN; RUNOFF; SIMULATION; STOCHASTICITY;

EID: 33744523124     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.01.005     Document Type: Article

References (65)

1. Allen P.M. Cities and Regions as Self-organizing Systems: Models of Complexity (1997), Gordon and Breach Science, Amsterdam
2. Allen P.M. The complexity of integrated modelling: transport and urban evolution. In: Möhlenbrink W., Englmann F., Friedrich M., Martin U., and Hangleiter U. (Eds). Networks for Mobility (2004), University of Stuttgart 53
3. Allen P.M., and Strathern M. Evolution, emergence, and learning in complex systems. Emergence 5 4 (2003) 8-33
4. Baker W.L. A review of models of landscape change. Landscape Ecol. 2 2 (1989) 111-133
5. Bankes S. Exploratory modeling for policy analysis. Oper. Res. 41 (1993) 435-449
6. Barreteau O., and Bousquet F. Shadoc: a multi-agent model to tackle viability of irrigated systems. Ann. Oper. Res. 94 (2000) 139-162
7. Bell E.J. Markov analysis of land use change-application of stochastic processes to remotely sensed data. Socio-Econ. Plann. Sci. 8 6 (1974) 311-316
8. Berry M.W., Hazen B.C., MacIntyre R.L., and Flamm R.O. Lucas: a system for modeling land-use change. IEEE Comput. Sci. Eng. 3 1 (1996) 24-35
9. Beven K. How far can we go in distributed hydrological modelling?. Hydrol. Earth Syst. Sci. 5 1 (2001) 1-12
10. Beven, K.J., 2002. Unceratinty and the detection of structural change in models of environmental systems. In: Beck, M.B. (Ed.), Environmental Foresight and Models: a Manifesto, first ed., vol. 22. Elsevier Science, Ltd., Amsterdam, pp. 227-250
11. Blöschl G. Scaling in hydrology. Hydrol. Process. 15 (2001) 709-711
12. Blöschl G., and Sivapalan M. Scale issues in hydrological modelling: A review. Hydrol. Process. 9 3/4 (1995) 251-290
13. Boer G.J., Flato G., Reader M.C., and Ramsden D. A transient climate change simulation with greenhouse gas and aerosol forcing: experimental design and comparison with the instrumental record for the 20th century. Clim. Dyn. 16 (2000) 405-426
14. Bárdossy, A., Duckstein, L., 1995. Fuzzy rule based modeling with applications to geophysical, biological and engineering systems. Vol. Boca Raton. CRC Press.
15. Bronstert A., Niehoff D., and Bürger G. Effects of climate and land-use change on storm runoff generation: present knowledge and modelling capabilities. Hydrol. Process. 16 2 (2002) 509-529
16. Brown D.G., Goovaerts P., Burnicki A., and Li M.-Y. Stochastic simulation of land-cover change using geostatistics and generalized additive models. Photogrammetric Eng. Remote Sensing 68 10 (2002) 1051-1061
17. Cada G., and Hunsaker C. Cumulative impacts of hydropower development: Reaching a watershed in impact assessment. Environ. Professional 12 1 (1990) 2-8
18. Cain, J., 2001. Guidelines for Using Bayesian Networks to Support the Planning and Management of Development Programmes in the Water Sector. Centre for Ecology and Hydrology (CEH), Wallingford.
19. Casti J. On the theory of models and modelling natural phenomenon. In: Bahrenberg G., Fischer M., and Nijkamp P. (Eds). Recent Developments in Spatial Data Analysis (Methodology, Measurement, Models) (1984), Gower, Vermont 73-92
20. Dooge J. Hydrology in perspective. Hydrol. Sci. J. (1988) 33
21. Geman S., and Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6 (1984) 721-741
22. 2 climate experiment. J. Clim. 10 (1997) 662-686
23. Guise J.W.B., and Flinn J.C. Allocation and pricing of water resources. In: Judge G.G., and Takayama T. (Eds). Studies in economic planning over space and time (1973), North-Holland Publ., Amsterdam 536-556
24. Hammersley J.M., and Handscomb D.C. Monte Carlo Methods (1964), Methuen, London
25. Hammond A.L. Which World? Scenarios for the 21st Century (1996), Island Press, Washington D.C
26. Hennessy K.J., Gregory J.M., and Mitchell J.F.B. Changes in daily precipitation under enhanced greenhouse conditions. Clim. Dyn. 13 (1997) 667-680
27. Hess, P., Brezowsky, H., 1969. Katalog der großwetterlagen europas. berichte des deutschen wetterdienst. Selbstverlag des Deutschen Wetterdienst, Offenbach a. Main, 2 neu bearbeitete und ergänzte Aufl. Tech. Rep. 113 (15).
28. Houghton, J.T., Ding, Y., Griggs, D., Noguer, M., van der Linden, P., Dai, X., Maskell, K., Johnson, C. (Eds.), 2001. Climate Change 2001: The Scientific Basis. Cambridge University Press (http://www.grida.no/climate/ipcc_tar/wg1/index.htm)
29. Jayawardena A.W., and Lai F. Analysis and prediction of chaos in rainfall and stream flow time series. J. Hydrol. 153 1-4 (1994) 23-52
30. Jensen J.R. Introductory Digital Image Processing. third ed. (2005), Prentice Hall, Upper Saddle River, NJ
31. Johns, T. C., 1996. A description of the Second Hadley Centre Coupled Model (HadCM2). Climate Research Technical Note 71. Hadley Centre, United Kingdom Meteorological Office, Bracknell Berkshire, UK.
32. Karl T., and Trenberth K. The human impact on climate. Sci. Am. 281 (December 1999) 100-105
33. Leavesley, G.H., Lichty, R.W., Troutman, B.M., Saindon, L. G., 1983. Precipitation-Runoff Modeling System: User's Manual, 83rd ed. U.S. Geological Survey Water-Resources Investigations, Denver, Colorado.
34. Leith C. Theoretical skill of monte carlo forecasts. Monthly Weather Rev. 102 6 (1974) 409-418
35. Lempert, R., Popper, S. W., Bankes, S. C., 2003. Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. Rand Corporation (http://www.rand.org7publications/MR/MR1626)
36. Lorenz E. Essence of Chaos. first ed (1994), University of Washington Press, Seattle
37. Mann M.E., Bradley R.S., and Hughes M.K. Northern hemisphere temperatures during the past millennium: inferences, uncertainties, and limitations. Geophys. Res. Lett. 26 6 (1999) 759-762
38. McCarthy, J.J., 2001. Climate Change 2001: Impacts, Adaptation and Vulnerability - Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press (http://www.grida.no/climate/ipcc_tar/wg2/)
39. McGuffie K., Henderson-Sellers A., Holbrook N., Kothavala Z., Balachova O., and Hoestra J. Assessing simulations of daily temperature and precipitation variability with global climate models for present and enhanced greenhouse climates. Int. J. Climatol. 19 (1999) 1-26
40. New M., Hulme M., and Jones P.D. Representing twentieth century space-time climate variability. part 2: development of 1901-96 monthly grids of terrestrial surface climate. J. Clim. 13 13 (2000) 2217-2238
41. Niehoff D., Fritsch U., and Bronstert A. Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in sw-germany. J. Hydrol. 267 1-2 (2002) 80-93
42. Perez-Trejo F. Landscape response units: process-based self-organising systems. In: Haines-Young R., Green D.R., and Cousins S. (Eds). Landscape Ecology and Geographic Information Systems (1993), Taylor and Francis, London 87-98
43. Porporato A., and Ridolfi L. Detecting determinism and nonlinearity in river-flow time series. Hydrol. Sci. J. 48 5 (2003) 763-780
44. Refsgaard J. Parameterisation, calibration and validation of distributed hydrological models. J. Hydrol. 198 (1997) 69-97
45. In: Reimold R. (Ed). Watershed Management: Practice, Policies, and Coordination (1998), McGraw-Hill, New York
46. Robinson J., Brush S., Douglas I., Graedel T., Graetz D., Hodge W., Liverman D., Melillo J., Moss R., Naumov A., Njiru G., Penner J., Rogers P., Ruttan V., and Sturdevant J. Land-use and land-cover projections. In: Meyer II W. (Ed). Changes in Land Use and Land Cover: a Global Perspective (1998), Cambridge University Press, Cambridge 73-96
47. Samaniego, L., 2003. Hydrological consequences of land use/land cover change in mesoscale catchments. Institute of Hydraulic Engineering, University of Stuttgart, Faculty of Civil Engineering, Stuttgart. Ph.D. Dissertation No. 118 (ISBN 3-9337-61-21-2; http://elib.uni-stuttgart.de/opus/volltexte/2003/1437/)
48. Samaniego L., and Bárdossy A. Robust parametric models of runoff characteristics at the mesoscale. J. Hydrol. 303 1-4 (2005) 136-151
49. Sivakumar B. Chaos theory in hydrology: important issues and interpretations. J. Hydrol. 227 1-4 (2000) 1-20
50. Sivakumar B., Persson M., Berndtsson R., and Uvo C.B. Is correlation dimension a reliable indicator of low-dimensional chaos in short hydrological time series?. Water Resour. Res. 38 2 (2002) 1111
51. Smith J.B., and Hulme M. Climate change scenarios. In: Feenstra J., Burton I., and Smith J. (Eds). Handbook on Methods of Climate Change Impacts and Adaptation Strategies. second ed (1998), UNEP/IES, Amsterdam Chapter 3
52. Stocker T.F. Models change their tune. Nature 430 (2004) 737-738
53. Turner, B., Moss, R. H., Skole, D. (Eds.), 1993. Relating land use and global land-cover change: a proposal for an IGBP-HDP core project. Royal Swedish Academy of Sciences, Stockholm, Report From the IGBP-HDP Working Group on Land-Use/Land-Cover Change. Joint Publication of the International Geosphere-Biosphere Programme (Report No. 24) and the Human Dimensions of Global Environmental Change Programme (Report No. 5).
54. Turner B.L., and Meyer W.B. Land use and land cover in global environmental change: considerations for study. Int. Social Sci. J. 130 (1991) 667-669
55. Turner M.G. Spatial simulation of landscape changes in georgia: a comparison of three transition models. Landscape Ecol. 537 1 (1987) 29-36
56. Varis O., and Kuikkab S. Learning bayesian decision analysis by doing: lessons from environmental and natural resources management. Ecol. Modell. 119 2-3 (1999) 177-195
57. In: von Neumann J., and Burks A.W. (Eds). Theory of self-reproducing automata (1966), University of Illinois Press, Urbana
58. Walter, I., Liossatos, P., 1979. Spatial Dynamics and Optimal Space-Time Development. North-Holland, New York.
59. Weidlich W., and Haag G. Concepts and Models of a Quantitative Sociology: the Dynamics of Interacting Populations (1983), Springer, Berlin
60. Weidlich W., and Haag G. Interregional Migration: Dynamic Theory and Comparative Analysis (1983), Springer, Berlin
61. Wilks D.S. Statistical Methods in the Atmospheric Sciences: an Introduction. fifth ed (2000), Academic Press, San Diego
62. Wooldridge M. Intelligent agents. In: Weiss G. (Ed). Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence (1999), MIT Press 27-78
63. Wu J., and Marceau D. Modeling complex ecological systems: an introduction. Ecol. Modell. 153 1-2 (2002) 1-6
64. Young, P.C., Parkinson, S., 2002. Simplicity out of complexity. In: Beck, M.B. (Ed.), Environmental foresight and models: a manifesto, first ed., vol. 22. Elsevier Science, Ltd, Amsterdam, pp. 251-301
65. Zwiers F.W. Climate change. The 20-year forecast. Nature 416 (2002) 690-691