Impact of urbanization on the sediment yield in tropical watershed using temporal land-use changes and a GIS-based model

Open access

Abstract

Abundant rainfall areas promote sediment yield at both sub-watershed and watershed scale due to soil erosion and increase siltation of river channel, but it can be curtailed through planned urbanization. The urbanization of Skudai watershed is analysed from historical and future perspective. A GIS-based model (Hydrological Simulation Programme-FORTRAN-HSPF) is used to modelled sediment flow using basin-wide simulation, and the output result is utilized in evaluating sediment yield reduction due to increased urbanization by swapping multiple temporal land-use of decadent time-steps. The analysis indicates that sediment yield reduces with increase urban built-up and decrease forest and agricultural land. An estimated 12 400 tons of sediment will be reduced for every 27% increase in built-up areas under high rainfall condition and 1 490 tons at low rainfall. The sensitivity analysis of land-use classes shows that built-up, forest and barren are more sensitive to sediment yield reduction compared to wetland and agricultural land at both high and low rainfall. The result of the study suggests that increased urbanization reduced sediment yield in proportion to the rainfall condition and can be used as an alternative approach for soil conservation at watershed scale independent of climate condition.

Aqua Terra Consultants 2016. An enchanced expert system for calibration HSPF (HSPEXP+) [online]. [Access 15.11.2016]. Available at: http://www.aquaterra.com/resources/downloads/HSPEXPplus.php

BAI S., WU-SENG L. 2005. Modeling sediment impact on the transport of fecal bacteria. Water Research. Vol. 39. Iss. 20 p. 5232-5240.

BARKDOLL B.D., DUAN J.G. 2008. Sediment modeling: issues and Future directions. Journal of Hydraulic Engineering. Vol. 134. Iss. 3 p. 285.

BERGHOUT A., MEDDI M. 2016. Sediment transport modelling in wadi Chemora during flood flow events. Journal of Water and Land Development. No. 31 p. 23-31. DOI 10.1515/jwld-2016-0033.

BORAH D.K., KRUG E.C., YODER D. 2008. Watershed sediment yield. In: Sedimentation engineering: processes, measurement, modeling, and practice. Ed. M. Garcia. MOP 110 ASCE p. 827-858.

BORAH D.K., XIA R., BERA M. 2001. Hydrologic and sediment transport modeling of agricultural watersheds. In: Proceedings of the World Water and Environmental Resources Congress. May 20-24 2001. Orlando FL. Washington CD. ASCE p. 1-10.

CANFIELD H.E., GOODRICH D.C., BURNS I.S. 2005. Selection of parameters values to model post-fire runoff and sediment transport at the watershed scale in southwestern forests. In: Managing watersheds for human and natural impacts. Watershed Management Conference. July 19-22, 2005. Williamsburg, VA, USA p. 1-12

DE VENTE J., POESEN J., VERSTRAETEN G., VAN ROMPAEY A., GOVERS G. 2008. Spatially distributed modelling of soil erosion and sediment yield at regional scales in Spain. Global and Planetary Change. Vol. 60. Iss. 3 p. 393-415.

DONIGIAN A.S., CRAWFORD N.H. 1976. Modeling nonpoint pollution from the land surface. Athens, GA. US Environmental Protection Agency, Office of Research and Development, Environmental Research Laboratory pp. 292.

FOODY G.M. 2002. Status of land use classification accuracy assessment. Remote Sensing of Environment. Vol. 80. Iss. 1 p. 185-201.

FOX J.F., MARTIN D.K. 2014. Sediment fingerprinting for calibrating a soil erosion and sediment-yield model in mixed land-use watersheds. Journal of Hydrologic Engineering. Vol. 20. Iss. 6 C4014002. Government of Malaysia 2009. DID Manual. Vol. 1. Flood management [online]. Kuala Lumpur. Department of Drainage and Irrigation. [Access 29.01.2016]. Available at: http://smanre.mygeoportal.gov.my/smanre/aduan/Volume1_Flood%20Management.pdf

GUZMAN C.D., TILAHUN S.A., DAGNEW D.C., ZEGEYE A.D., TEBEBU T.Y., YITAFERU B., STEENHUIS T.S. 2017. Modeling sediment concentration and discharge variations in a small Ethiopian watershed with contributions from an unpaved road. Journal of Hydrology and Hydromechanics. Vol. 65. Iss. 1 p. 1-17.

HAYASHI S., MURAKAMI S., WATANABE M., BAO-HUA X. 2004. HSPF simulation of runoff and sediment loads in the upper Changjiang River basin, China. Journal of Environmental Engineering. Vol. 130. Iss. 7 p. 801-815.

IRDA 2011. Integrated land use blue print for Iskandar Malaysia. Johor Bahru, Malaysia [online]. Iskandar Regional Development Authority. [Access 07.04.2016]. Available at: http://iskandarmalaysia.com.my/blueprints/

JENSEN J.R. 2004. Digital change detection. In: Introductory digital image processing: A remote sensing perspective. Englewood Cliffs, NJ. Prentice-Hall p. 467-494.

KUMAR S., MISHRA A., RAGHUWANSHI N.S. 2014. Identification of critical erosion watersheds for control management in data scarce condition using the SWAT model. Journal of Hydrologic Engineering. Vol. 20. Iss. 6 C4014008.

LÓPEZ-TARAZÓN J.A., BATALLA R.J., VERICAT D., BALASCH J.C. 2010. Rainfall, runoff and sediment transport relations in a mesoscale mountainous catchment: the River Isábena (Ebro basin). Catena. Vol. 82. Iss. 1 p. 23-34.

MEKONNEN B.A., MAZUREK K.A., PUTZ G. 2016. Sediment export modeling in cold-climate prairie watersheds. Journal of Hydrologic Engineering. Vol. 21. Iss. 5 05016005.

MORIASI D.N., ARNOLD J.G., VAN LIEW M.W., BINGNER R.L., HARMEL R.D., VEITH T.L. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE. Vol. 50. Iss. 3 p. 885-900.

MISHRA A., KAR S., SINGH V.P. 2007. Determination of runoff and sediment yield from a small watershed in sub-humid subtropics using the HSPF model. Hydrological Processes. Vol. 21. Iss. 22 p. 3035-3045.

NOTEBAERT B., VERSTRAETEN G., WARD P., RENSSEN H., VAN ROMPAEY A. 2011. Modeling the sensitivity of sediment and water runoff dynamics to Holocene climate and land use changes at the catchment scale. Geomorphology. Vol. 126. Iss. 1 p. 18-31.

OLD G.H., LEEKS G.J., PACKMAN J.C., SMITH B.P., LEWIS S., HEWITT E. J., HOLMES M., YOUNG A. 2003. The impact of a convectional summer rainfall event on river flow and fine sediment transport in a highly urbanised catchment: Bradford, West Yorkshire. Science of the Total Environment. Vol. 314 p. 495-512.

PAK J.H., FLEMING M., SCHARFFENBERG W., GIBSON S., BRAUER T. 2015. Modeling surface soil erosion and sediment transport processes in the Upper North Bosque River Watershed, Texas. Journal of Hydrologic Engineering. Vol. 20. Iss. 12 04015034.

PAPANICOLAOU A. N., ABACI O. 2005. The development of an integrated watershed model for understanding the impacts of sediments on aquatic life. In: Managing watersheds for human and natural impacts. Watershed Management Conference. July 19-22, 2005. Williamsburg, VA, USA p. 1-7.

RUSSO J.P., FOX J.F., MARTIN D. 2009. Investigation of land-use change and hydrologic forcing upon streambank erosion and in-stream sediment processes using a watershed model and sediment tracers. In: World Environmental and Water Resources Congress: Great rivers. Reston, WA. ASCE p. 1-16

RUSSO S.A., HUNN J., CHARACKLIS G.W. 2011. Considering bacteria-sediment associations in microbial fate and transport modeling. Journal of Environmental Engineering. Vol. 137. Iss. 8 p. 697-706.

SELMI K., KHANCHOUL K. 2016. Sediment load estimation in the Mellegue catchment, Algeria. Journal of Water and Land Development. No. 31 p. 129-137.

SHENK G.W., WU J., LINKER L.C. 2012. Enhanced HSPF model structure for Chesapeake Bay watershed simulation. Journal of Environmental Engineering. Vol. 138. Iss. 9 p. 949-957.

SUDHIRA H.S., RAMACHANDRA T.V., JAGADISH K.S. 2004. Urban sprawl: Metrics, dynamics and modelling using GIS. International Journal of Applied Earth Observation and Geoinformation. Vol. 5. Iss. 1 p. 29-39.

SUN H., FORSYTHE W., WATERS N. 2007. Modeling urban land use change and urban sprawl: Calgary, Alberta, Canada. Networks and Spatial Economics. Vol. 7. Iss. 4 p. 353-376.

USEPA 2006. EPA BASINS technical note 8: Sediment parameter and calibration guidance for HSPF [online]. Washington, DC. U.S. Environmental Protection Agency [Access 23.11.2015]. Available at: www.epa.gov/waterscience/basins/docs/tecnote8.pdf

WEBER C., PUISSANT A. 2003. Urbanization pressure and modeling of urban growth: example of the Tunis Metropolitan Area. Remote Sensing of Environment. Vol. 86. Iss. 3 p. 341-352.

XIAN G., CRANE M., SU J. 2007. An analysis of urban development and its environmental impact on the Tampa Bay watershed. Journal of Environmental Management. Vol. 85. Iss. 4 p. 965-976.

XIAO L., YANG X., CAI H. 2016. Responses of sediment yield to vegetation cover changes in the Poyang Lake drainage area, China. Water. Vol. 8. Iss. 4 p. 114.

ZEINIVAND H., SMEDT F.D. 2009. Spatially distributed modeling of soil erosion and sediment transport at watershed scale. In: World Environmental and Water Resources Congress: Great rivers. Reston, WA. ASCE p. 1-10.

ZHANG S., LI Y., FAN W., YI Y. 2016. Impacts of rainfall, soil type, and land-use change on soil erosion in the Liusha River Watershed. Journal of Hydrologic Engineering. Vol. 22. Iss. 4 04016062.

ZHANG X., ZHANG X., HU S., LIU T., LI G. 2013. Runoff and sediment modeling in a peri-urban artificial landscape: Case study of Olympic Forest Park in Beijing. Journal of Hydrology. Vol. 485 p. 126-138.

ZHAO G., KONDOLF G.M., MU X., HAN M., HE Z., RUBIN Z., WANG F., GAO P., SUN W. 2017. Sediment yield reduction associated with land use changes and check dams in a catchment of the Loess Plateau, China. Catena. Vol. 148 p. 126-137.

ZHOU F., XU Y., CHEN Y., XU C.Y., GAO Y., DU J. 2013. Hydrological response to urbanization at different spatio- temporal scales simulated by coupling of CLUE-S and the SWAT model in the Yangtze River Delta region. Journal of Hydrology. Vol. 485 p. 113-125.

Journal of Water and Land Development

The Journal of Polish Academy of Sciences Committee on Agronomic Sciences, Section of Land Reclamation and Environmental Engineering in Agriculture and Institute of Technology and Life Sciences in Falenty

Journal Information


CiteScore 2018: 1.55

SCImago Journal Rank (SJR) 2018: 0.401
Source Normalized Impact per Paper (SNIP) 2018: 1.389

Ministry of Science and Higher Education: 14 points

Cited By

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 265 177 7
PDF Downloads 158 117 4