SWAT-based hydrological modelling of tropical land-use scenarios;Modélisation hydrologique de scénarios d’utilisation des sols en zone tropicale à l’aide du modèle SWAT

Hydrological Sciences Journal

Volumn 59, Issue 10, 2014, Pages 1808-1829

  Memarian, Hadi ^a   Balasundram, Siva K ^b   Abbaspour, Karim C ^c   Talib, Jamal B ^a   Boon Sung, Christopher Teh ^a   Sood, Alias Mohd ^b  

^a UNIVERSITY OF BIRJAND   (Iran)

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^c SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

calibration; Hulu Langat basin, Malaysia; LUCC; SWAT; uncertainty analysis

Indexed keywords

CALIBRATION; CONSERVATION; GROUNDWATER; MARKOV PROCESSES; MOBILE SECURITY; RUNOFF; SEDIMENTS; SOLS; UNCERTAINTY ANALYSIS; URBAN GROWTH; WATER CONSERVATION;

HYDROLOGICAL CONDITION; HYDROLOGICAL MODELLING; LAND USE AND COVER CHANGE; LUCC; MALAYSIA; SEQUENTIAL UNCERTAINTY FITTINGS; SOIL AND WATER ASSESSMENT TOOL; SWAT;

LAND USE;

CALIBRATION; DISCHARGE; HYDROLOGICAL MODELING; LAND COVER; LAND USE CHANGE; RUNOFF; UNCERTAINTY ANALYSIS;

LANGAT BASIN; MALAYSIA; WEST MALAYSIA;

EID: 84925945988     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2014.892598     Document Type: Article

References (93)

1. Abbaspour, K.C., 2011. User manual for SWAT-CUP4, SWAT calibration and uncertainty analysis programs. Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland. Available from: http://www.eawag.ch/forschung/siam/software/swat/index [Accessed 25December 2011].
2. Abbaspour, K.C., et al., 2007. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333 (2–4), 413–430.
3. Abdul Ghani, A.N., et al., 1999. Economic valuation of forest goods and services of Ayer Hitam Forest, Puchong, Selangor. Journal of Tropical Agricultural Sciences, 22 (2), 147–160.
4. Agarwal, C., et al., 2002. A review and assessment of land-use change models: Dynamics of space, time, and human choice. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station, General technical report NE-297. 61 p.
5. Ahmad, S. and Abdul Ghani, A.N., 2004. Forest resource valuation and accounting in Malaysia: present status and future directions. Available from: http://www.eco-services.ac.cn/DownLoad.asp?id=131&flag=c [Accessed 10January 2012].
6. Anand, S., et al., 2007. Calibration and validation of ADAPT and SWAT for field-scale runoff prediction. Journal of American Water Resources Association, 43 (4), 899–910.
7. Anuar, S.H., Abdullah, A. and Mahamod, L.H., 2000. Using Geographical Information System (GIS) to determine the water catchment area: Malaysia application study. In: Proceedings of 17th EAROPH World Congress, “Local Development and Planning in the 21st Century”, Asan, Korea. Available from: http://www.earoph.info/pdf/2000papers/57.pdf [Accessed 12December 2011].
8. Araya, Y.H. and Cabral, P., 2010. Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Portugal. Remote Sensing, 2, 1549–1563.
9. Arnold, J.G., et al., 2011. Soil and water assessment tool. Input/Output file documentation, Version 2009. College Station: Texas Water Research Institute, Technical Report 365.
10. Arnold, J.G., et al., 1998. Large area hydrologic modeling and assessment, part I: model development. Journal of American Water Resources Association, 34 (1), 73–89.
11. Ayub, K.R., Hin, L.S. and Abd Aziz, H., 2009. SWAT application for hydrologic and water quality modeling for suspended sediments: A case study of Sungai Langat’s Catchment in Selangor. In: International Conference on Water Resources (ICWR 2009), Langkawi, Malaysia. Available from: http://redac.eng.usm.my/html/publish/2009_09.pdf [Accessed 20December 2010].
12. Azhari, N. and Zainal, B., 2007. Operational aspects of water demand management for domestic and industrial use. Putrajaya: Jabatan Bekalan Air (Water Supply Department).
13. Bekele, E.G. and Nicklow, J.W., 2007. Multi-objective automatic calibration of SWAT using NSGA-II. Journal of Hydrology, 341 (3–4), 165–176.
14. Benaman, J., Shoemaker, C.A. and Haith, D.A., 2006. Calibration and validation of soil and water assessment tool on an agricultural watershed in upstate New York. Journal of Hydrologic Engineering, 10 (5), 363–374.
15. Bracmort, K.S., et al., 2006. Modelling long-term water quality impact of structural BMPs. Transactions of the ASABE, 49 (2), 367–374.
16. Cai, T., et al., 2012. Investigation into the impacts of land-use change on sediment yield characteristics in the upper Huaihe River basin, China. Physics and Chemistry of the Earth (A/B/C), 53-54, 1–9.
17. Cao, W., et al., 2006. Multi-variable and multi-site calibration and validation of SWAT in a large mountainous catchment with high spatial variability. Hydrological Processes, 20 (5), 1057–1073.
18. Cho, J., et al., 2009. Effect of spatial distribution of rainfall on temporal and spatial uncertainty of SWAT output. Transactions of the ASABE, 52 (5), 1545–1555.
19. Cohen, J., 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37–46.
20. Confessor Jr., R.B. and Whittaker, G.W., 2007. Automatic calibration of hydrologic models with multi-objective evolutionary algorithm and pareto optimization. Journal of American Water Resources Association, 43 (4), 981–989.
21. Department of Environment, 1987. Environmental quality order, Act 1987. Ministry of Natural Resources and Environment, Malaysia.
22. Department of Irrigation and Drainage, 1993. Riverfront Development Guideline. Ministry of Natural Resources and Environment, Malaysia.
23. Department of Town and Country Planning, 1995. Guideline of uphill development. Ministry of Housing and Local Government, Malaysia.
24. Dixon, B. and Earls, J., 2012. Effects of urbanization on streamflow using SWAT with real and simulated meteorological data. Applied Geography, 35 (1), 174–190.
25. Eastman, J.R., 2003. IDRISI Kilimanjaro, guide to GIS and image processing. Worcester: Clark Labs.
26. Eckhardt, K. and Arnold, J.G., 2001. Automatic calibration of a distributed catchment model. Journal of Hydrology, 251 (1–2), 103–109.
27. Eckhardt, K., 2004. How to construct recursive digital filters for baseflow separation. Hydrological Processes, 19 (2), 507–515.
28. Eckhardt, K., Breuer, L. and Frede, H.G., 2003. Parameter uncertainty and the significance of simulated land use change effects. Journal of Hydrology, 273, 164–176.
29. Elkie, P., Rempel, R. and Carr, A., 1999. Patch analyst user’s manual. Thunder Bay: Ontario Ministry of Natural Resources, Northwest Science and Technology. TM–002.
30. Faramarzi, M., et al., 2009. Modelling blue and green water resources availability in Iran. Hydrological Processes, 23, 486–501.
31. Fohrer, N., et al., 2001. Hydrologic response to land use changes on the catchment scale. Physics and Chemistry of the Earth, 26 (7–8), 577–582.
32. Gassman, P.W., et al., 2007. The soil and water assessment tool: Historical development, applications, and future research directions. Transactions of the ASABE, 50 (4), 1211–1250.
33. Geza, M. and McCray, J.E., 2007. Effects of soil data resolution on SWAT model stream flow and water quality predictions. Journal of Environmental Management, 88 (3), 393–406.
34. Ghaffari, G., et al., 2010. SWAT-simulated hydrological impact of land-use change in the Zanjanrood Basin, Northwest Iran. Hydrological Processes, 24 (7), 892–903.
35. Githui, F., Mutua, F. and Bauwens, W., 2009a. Estimating the impacts of land-cover change on runoff using the Soil and Water Assessment Tool (SWAT): case study of Nzoia catchment, Kenya. Hydrological Sciences Journal, 54 (5), 899–908.
36. Githui, F., et al., 2009b. Climate change impact on SWAT simulated streamflow in western Kenya. International Journal of Climatology, 29, 1823–1834.
37. Green, W.H. and Ampt, G.A., 1911. Studies on soil physics, 1. The flow of air and water through soils. Journal of Agricultural Sciences, 4, 11–24.
38. Gupta, H.V., Sorooshian, S. and Yapo, P.O., 1999. Status of automatic calibration for hydrologic models: Comparison with multi-level expert calibration. Journal of Hydrologic Engineering, 4 (2), 135–143.
39. Haverkamp, S., Fohrer, N. and Frede, H.G., 2005. Assessment of the effect of land use patterns on hydrologic landscape functions: a comprehensive GIS-based tool to minimize model uncertainty resulting from spatial aggregation. Hydrological Processes, 19 (3), 715–727.
40. Hernandez, M., et al., 2000. Modelling runoff response to land cover and rainfall spatial variability in semi-arid watersheds. Environmental Monitoring and Assessment, 64, 285–298.
41. 2 emission reduction scenarios. Hydrological Processes, 19 (3), 729–748.
42. Ismail, A. and Mamat, M.N., 2002. The optimal age of oil palm replanting. Oil Palm Industry Economic Journal, 2 (1), 11–18.
43. Jones, C., et al., 2008. Hydrologic impacts of engineering projects on the Tigris-Euphrates system and its marshlands. Journal of Hydrology, 353 (1–2), 59–75.
44. Juahir, H., 2009. Water quality data analysis and modeling of the Langat River basin. Thesis (PhD). Faculty of Science, University of Malaya, Kuala Lumpur, 68–138.
45. Kamil, N.F., Syed Abdillah, A. and Mukhtiar, S., 1996. Malaysia. Available from: http://www.avrdc.org [Accessed 10Jan 2012].
46. Kepner, W.G., et al., 2008. The use of scenario analysis to assess future landscape change on watershed condition in the Pacific Northwest (USA). In: I. Petrosillo, et al., eds. Use of landscape sciences for the assessment of environmental security, Dordrecht: Springer, 237–261.
47. Kim, N.W. and Lee, J., 2010. Enhancement of the channel routing module in SWAT. Hydrological Processes, 24, 96–107.
48. Kok, K., Verburg, P. and Veldkamp, T., 2007. Integrated Assessment of the land system: The future of land use. Landuse Policy, 24, 517–520.
49. Kuala Lumpur Kepong Berhad, 2010. Annual report. Available from: http://www.klk.com.my/ar/klk_ar2010.pdf [Accessed 10Jan 2012].
50. Lam, Q.D., Schmalz, B. and Fohrer, N., 2011. The impact of agricultural Best Management Practices on water quality in a North German lowland catchment. Environmental Monitoring and Assessment, 183 (1–4), 351–379.
51. Lambin, E.F., Rounsevell, M. and Geist, H., 2000. Are current agricultural land use models able to predict changes in land use intensity? Agriculture, Ecosystem, and Environment, 1653, 1–11.
52. Li, Q., et al., 2011. Investigation into the impacts of land-use change on runoff generation characteristics in the upper Huaihe River basin, China. Journal of Hydrologic Engineering. doi:10.1061/(ASCE)HE.1943-5584.0000489
53. Lim, K.J., et al., 2005. Automated Web GIS-based Hydrograph Analysis Tool, WHAT. Journal of American Water Resources Association, 41 (6), 1407–1416.
54. Mango, L.M., et al., 2011. Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: Results of a modeling study to support better resource management. Hydrology and Earth System Sciences, 15, 2245–2258.
55. Markov, A.A., 1907. Extension of the limit theorems of probability theory to a sum of variables connected in a chain. The Notes of the Imperial Academy of Sciences of St. Petersburg, VIII Series, Physio-Mathematical College XXII. Moscow: Imperial Academy of Sciences of St. Petersburg.
56. Memarian, H., et al., 2012a. Trend analysis of water discharge and sediment load during the past three decades of development in the Langat basin, Malaysia. Hydrological Sciences Journal, 57 (6), 1207–1222.
57. Memarian, H., et al., 2012b. KINEROS2 application for land use/cover change impact analysis at the Hulu Langat Basin, Malaysia. Water and Environment Journal, published online (Early View), doi:10.1111/wej.12002
58. Memarian, H., et al., 2012c. Hydrologic analysis of a tropical watershed using KINEROS2. EnvironmentAsia, 5 (1), 84–93.
59. Millennium Ecosystem Assessment, 2005. Millennium ecosystem assessment, ecosystems and human well-being: general synthesis, Millennium ecosystem assessment series. Island Press. ISBN: 1-59726-040-1. Available from: http://millenniumassessment.org//en/Products.Synthesis.aspx [Accessed 15January 2012].
60. Mishra, A., Kar, S. and Singh, V.P., 2007. Prioritizing structural management by quantifying the effect of land use and land cover on watershed runoff and sediment yield. Water Resources Management, 21 (11), 1899–1913.
61. Moriasi, D.N. and Starks, P.J., 2010. Effects of the resolution of soil dataset and precipitation dataset on SWAT2005 streamflow calibration parameters and simulation accuracy. Journal of Soil and Water Conservation, 65 (2), 163–178.
62. Muhamat, A.A., Jaafar, M.N. and Rosly, H.E., 2011. A study on the revitalization of Waqaf (endowment) lands for agribusiness activities. In: Proceedings of 2nd international conference on business and economic research (2nd ICBER), 14–16 March, Langkawi, 362–370.
63. 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.
64. Ndomba, P., Mtalo, F. and Killingtveit, A., 2008. SWAT model application in a data scarce tropical complex catchment in Tanzania. Physics and Chemistry of the Earth, 33 (8–13), 626–632.
65. Nearing, M.A., et al., 2005. Modelling response of soil erosion and runoff to changes in precipitation and cover. Catena, 61 (2–3), 131–154.
66. Neitsch, S.L., et al., 2011. Soil and water assessment tool, theoretical documentation, version 2009. College Station: Texas Water Research Institute, Technical Report 406.
67. Noorazuan, M.H., et al., 2003. GIS application in evaluating land use-land cover change and its impact on hydrological regime in Langat River basin, Malaysia. In: Proceedings of the Conference MapAsia 2003, (Kuala Lumpur, Malaysia). Available from: http://www.geospatialworld.net/index.php? option=com_content&view=article&id=15467 [Accessed 10December 2010].
68. Oeurng, C., Sauvage, S. and Sánchez-Pérez, J., 2011. Assessment of hydrology, sediment and particulate organic carbon yield in a large agricultural catchment using the SWAT model. Journal of Hydrology, 401, 145–153.
69. Ouyang, W., et al., 2010. Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River. Science of the Total Environment, 409, 396–403.
70. Pai, N., 2011. SWAT2009_LUC user manual. Department of biological and agricultural engineering, University of Arkansas. Available from http://www.comp.uark.edu/~npai/SWAT2009_LUC/downloads.html [Accessed 8November 2011].
71. Palamuleni, L.G., Ndomba, P.M. and Annegarn, H.J., 2011. Evaluating land cover change and its impact on hydrological regime in Upper Shire river catchment, Malawi. Regional Environmental Change, 11 (4), 845–855.
72. Parajuli, P.B., et al., 2009. Comparison of AnnAGNPS and SWAT model simulation results in USDA-CEAP agricultural watersheds in south-central Kansas. Hydrological Processes, 23, 748–763.
73. Phomcha, P., et al., 2011. Predicting sediment discharge in an agricultural watershed: A case study of the Lam Sonthi watershed, Thailand. SCIENCEASIA, 37 (1), 43–50.
74. Puncak Niaga Sdn. Bhd., 2008. A report on dam operations and management. Selangor, Malaysia. Available from: http://www.puncakniaga.com.my/Portals/0/pdf/Investor-Relations/PUNCAK2008_(english).pdf [Accessed 5January 2011].
75. Qiu, G.Y., et al., 2011. Effects of the “Conversion of Cropland to Forest and Grassland Program” on the water budget of the Jinghe River catchment in China. Journal of Environmental Quality, 40 (6), 1745–1755.
76. Raneesh, K.Y. and Santosh, G.T., 2011. A study on the impact of climate change on streamflow at the watershed scale in the humid tropics. Hydrological Sciences Journal, 56 (6), 946–965. doi:10.1080/02626667.2011.595371
77. Rostamian, R., et al., 2008. Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrological Sciences Journal, 53 (5), 977–988. doi:10.1623/hysj.53.5.977
78. Rouse, J.W., et al., 1973. Monitoring the vernal advancements and retrogradation of natural vegetation. Greenbelt, MD: NASA/GSFC, Final Report, 1–137.
79. Tolson, B.A. and Shoemaker, C.A., 2004. Watershed modelling of the Cannonsville basin using SWAT2000: model development, calibration and validation for the prediction of flow, sediment and phosphorus transport to the Cannonsville Reservoir. Ithaca, NY: School of Civil and Environmental Engineering, Cornell University Technical Report, School of Civil and Environmental Engineering, Cornell University, Ithaca, New York, USA.
80. USDA Soil Conservation Service, 1972. Hydrology. In: National Engineering Handbook. Washington, DC: Natural Resources Conservation Service, United States Department of Agriculture.
81. Veldkamp, A. and Lambin, E.F., 2001. Editorial: predicting land use change. Agriculture, Ecosystem, and Environment, 85, 1–6.
82. Weng, Y.C., 2007. Spatiotemporal changes of landscape pattern in response to urbanization. Landscape and Urban Planning, 81 (4), 341–353.
83. Wessels, K.J., et al., 2004. Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series. Remote Sensing and Environment, 91, 47–67.
84. Williams, J.R., 1969. Flood routing with variable travel time or variable storage coefficients. Transactions of the ASAE, 12 (1), 100–103.
85. Williams, J.R., 1975. Sediment yield prediction with universal equation using runoff energy factor. In: Present and prospective technology for predicting sediment yield and sources Proceedings of the sediment yield workshop, 28–30 November, ARS-S-40. Oxford: USDA Sedimentation Lab 244–252.
86. Williams, J.R., 1980. SPNM, a model for predicting sediment, phosphorous, and nitrogen yields from agricultural basins. Water Resources Bulletin, 16 (5), 843–848.
87. Wilson, C.O. and Weng, Q., 2011. Simulating the impacts of future land use and climate changes on surface water quality in the Des Plaines River watershed, Chicago Metropolitan Statistical Area, Illinois. Science of the Total Environment, 409 (20), 4387–4405.
88. Xie, H., Nkonya, E. and Wielgosz, B., 2011. Assessing the risks of soil erosion and small reservoir siltation in a tropical river basin in Mali using the SWAT model under limited data condition. Applied Engineering in Agriculture, 27 (6), 895–904.
89. Yang, J., et al., 2008. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe basin in China. Journal of Hydrology, 358, 1–23.
90. Yevenes, M.A. and Mannaerts, C.M., 2011. Seasonal and land use impacts on the nitrate budget and export of a mesoscale catchment in Southern Portugal. Agricultural Water Management, 102 (1), 54–65.
91. Zhang, S., et al., 2008. Recent changes of water discharge and sediment load in the Zhujiang (Pearl River) basin, China. Global and Planetary Change, 60 (3–4), 365–380.
92. Zhang, P., et al., 2011. Land use pattern optimization based on CLUE-S and SWAT model for agricultural non-point source pollution control. Mathematical and Computer Modelling, doi:10.1016/j.mcm.2011.10.061
93. Zhou, P., et al., 2008. Effect of vegetation cover on soil erosion in a mountainous watershed. Catena, 75, 319–325.