INVESTIGATING THE EFFECT OF CONSERVATION TECHNIQUES ON THE LAND DEGRADATION OF TROPICAL CATCHMENT PRONE TO LANDSLIDE
(1) Departement of Environmental Geography, Faculty of Geography, Gadjah Mada University
(2) Departement of Environmental Geography, Faculty of Geography, Gadjah Mada University
(3) Departement of Environmental Geography, Faculty of Geography, Gadjah Mada University
(4) Departement of Environmental Geography, Faculty of Geography, Gadjah Mada University
(5) Faculty of Geo-Information Science and Earth Observation (ITC), Twente University, The Netherlands
(6)
Abstract
Land degradation in Serayu watershed is a major concern in central Java and in Indonesia. As part of a broader effort to develop a land degradation assessment tool in tropical area, this study implemented a process-based watershed hydrology to assess the effect of conservation technique upon land degradation by using PCRaster. STARWARS was used to assess the watershed hydrology in the area based on their land use/ land cover, soil, and slope profiles. The results from STARWARS were used as inputs for the PROBSTAB model to simulate the slope stability in the area. DEM scenario were used, they are with terraces and without terraces.
The models show that the landuse practice in the study area work like two edges of sword. The promoting of bench terrace can be reducing the risk of soil erosion but in the other hands it increases in the risk of landslide. From the slope-stability modeling, we can see that the terrace increases the pore-water pressure significantly which lead to the ideal conditions for the failures. The extremely high intensity rainfall, in the other hands, may build a sharp increase of pore-water pressure. The increasing probability of failure might cause the soil erosion even worse. Therefore, in order to make the terrace practice is effective to control the land degradation process; the terrace has to be well maintained.Keywords
Full Text:
PDFReferences
REFERENCES
Ang, A.H.-S. and Tang, W.H., 1984. Probability Concepts in Engineering Planning and Design: Decision, Risk, and Reliability (V II). John Wiley & Sons, New York, 562 pp.
Bonham-Carter, G.F., 1994. Geographic information systems for geoscientists: modelling with GIS. Computer Methods in Geosciences, Vol 13. Pergamon Press, Oxford, 398 pp.
Borga, M., Dalla Fontana, G., Da Ros, D. and Marchi, L., 1998. Shallow landslide hazard asessment using a physically based model and digital elevation data. Environmental Geology, 35(2-3): 81-88.
DGHM, 2007. Landslide database in Java, Indonesia. Directorate of Geology and Hazards Mitigation, Govt. of Indonesia, Jakarta (Unpublished).
Geertz, C., 1963. Agricultural involution: the process of ecological change in Indonesia. University of Chicago Press, Chicago.
Greenway, D.R., 1987. Chapter 6: Vegetation and Slope Stability. In: M.G. Anderson and K.S. Richards (Editors), Slope Stability. John Wiley and Sons Ltd., West Sussex, England.
Hadmoko, D.S. and Lavigne, F., 2007. Landslides in Menoreh Mountains, Central Java, Indonesia: dynamics, triggering, spatio-temporal analysis and associated hazards, International Conference of International Association of Geomorphologists on Environmental Change in the Tropic, 22-25 June, Kota Kinabalu, Sabah, Malaysia.
Hadmoko, D.S., Lavigne, F., Sartohadi, J., Samodra, G. and Christanto, N., 2009. GIS application for comprehensive spatial landslide analysis in Kayangan catchment, Menoreh Mountains, Java, Indonesia. In: J.P. Malet, A. Remaitre and T.A. Bogaard (Editors), Landslide Processes: From Geomorphologic Mapping to Dynamic Modelling - A tribute to Prof. Dr. Theo van Asch. European Centre on Geomorphological Hazards (CERG), Strasbourg, France.
Hulme, M. and Sheard, N., 1999. Climate Change Scenarios for Indonesia. Climate Change Research Unit, World Wildlife Fund, Norwich, UK. http://www.cru.uea.ac.uk/~mikeh/research/indonesia.pdf, Accessed on: 19 July 2009.
ILC, 2006. The International Landslide Centre landslide fatality database. International Landslide Centre, University of Durham. 01 February. http://www.landslidecentre.org/database.htm, Accessed on: 09 August 2009.
Kuriakose, S.L., Devkota, S., Rossiter, D.G. and Jetten, V.G., 2009a. Prediction of soil depth using environmental variables in an anthropogenic landscape, a case study in the Western Ghats of Kerala, India. Catena, 79(1): 27-38.
Kuriakose, S.L., Lele, N.V. and Joshi, P.K., 2006. Fractional Vegetation Cover Estimation from MODIS NDVI Data – A comparison of methods and application in Dynamic Numerical Modelling for Debris Flow (Urul Pottal) Initiation Prediction. In: S. Subbaih (Editor), International Conference on Natural Hazards and Disasters - Local to Global Perspectives, November 25th to 27th. IGS Conference Publication (CDRom): Sri Krishnadevaraya University and The Indian Geographical Society. ISSN No. 0973-5062, Anantapur, India.
Kuriakose, S.L., van Beek, L.P.H. and van Westen, C.J., 2009b. Parameterizing a physically based shallow landslide model in a data poor region. Earth Surface Processes and Landforms, 34(6): 867-881.
Lancaster, S.T. and Grant, G.E., 1999. Modeling the interaction of Landslides, Debris Flows and the Channel Network. Corvallis Forestry Research Community, Corvallis, Oregon, USA.
Lavigne, F. and Gunnell, Y., 2006. Land cover change and abrupt environmental impacts on Javan volcanoes, Indonesia: a long term perspective on recent events. Regional Environmental Change, 6: 86-100.
Marfai, M.A. et al., 2008. Natural hazards in Central Java Province, Indonesia: an overview. Environmental Geology, 56: 335-351.
Marhaento, 2006. Landslide hazard analysis using heuristic-statistic method in combination with multi temporal landslide data. M.Sc Thesis, Gadjah Mada University, Yogyakarta.
Nash, J.E. and Sutcliffe, J.V., 1970. River flow forecasting through conceptual models part I -- A discussion of principles. Journal of Hydrology, 10(3): 282-290.
Penman, H.L., 1948. Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London, A(194): S. 120-145.
Simoni, S., Zanotti, F., Bertoldi, G. and Rigon, R., 2008. Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-FS. Hydrological Processes, 22(4): 532-545.
Takara, K., Apip and Bagiawan, A., 2008. Study on Early Warning System for Debris Flow and Landslide in the Citarum River Basin, Indonesia. In: K. Sassa, P. Canuti, L. Picarelli and Y. Yueping (Editors), Chapter 20: Monitoring, Prediction and Early Warning; Landslides - Disaster Risk Reduction. Springer, Tokyo, pp. 369-374.
van Beek, L.P.H., 2002. Assessment of the influence of changes in Landuse and Climate on Landslide Activity in a Mediterranean Environment. PhD Thesis, University of Utrecht, Utrecht, The Netherlands, 363 pp.
van Beek, L.P.H. and van Asch, T.W.J., 2004. Regional assessment of the effects of land-use change and landslide hazard by means of physically based modeling. Natural Hazards, 30(3): 289-304.
van Westen, C.J., van Asch, T.W.J. and Soeters, R., 2005. Landslide hazard and risk zonation: why is it still so difficult? Bulletin of Engineering Geology and Environment, 65(2): 167-184.
Refbacks
- There are currently no refbacks.
