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

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Warianty tytułu
PL
Wpływ urbanizacji na ładunek osadów w tropikalnych zlewniach analizowany na podstawie zmian użytkowania ziemi i w oparciu o model GIS
Języki publikacji
EN
Abstrakty
EN
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.
PL
Duże opady atmosferyczne sprzyjają przemieszczaniu się osadów w skali zlewni w wyniku erozji gleby, powodując zamulanie koryta rzecznego. Procesy te można ograniczyć przez planową urbanizację. Urbanizację zlewni Skudai analizowano w perspektywie historycznej (przedziały 10-letnie) i w kontekście przyszłych zmian. Do modelowania przepływu osadu użyto programu symulacji hydrologicznej Fortran (HSPF), a wyniki modelowania wykorzystano do oceny zmniejszenia ilości osadu związanej z urbanizacją. Analiza wskazuje, że ładunek osadów maleje ze zwiększeniem udziału zabudowy miejskiej oraz z ograniczeniem powierzchni lasów i gruntów rolniczych. W warunkach intensywnych opadów ładunek osadu może zmaleć o 12 400 t, gdy udział terenów zabudowanych zwiększy się o 27%. W warunkach małych opadów ładunek zmniejszy się o 1 490 t. Analiza wrażliwości klas użytkowania ziemi wykazała, że obszary zabudowane, lasy i ugory są bardziej wrażliwe na zmniejszenie ładunku osadu niż obszary podmokłe i grunty rolnicze, zarówno w warunkach dużego jak i małego natężenia opadów. Wyniki badań sugerują, że zwiększony udział terenów zabudowanych ogranicza ładunek osadów proporcjonalnie do ilości opadów, w związku z czym planowa urbanizacja może być wykorzystana jako alternatywne podejście do ochrony gleb w skali zlewni, niezależnie od warunków klimatycznych.
Wydawca
Rocznik
Tom
Strony
33--45
Opis fizyczny
Bibliogr. 40 poz., rys., tab.
Twórcy
  • Universiti Teknologi Malaysia, Faculty of Civil Engineering, Department of Hydraulics and Hydrology, Skudai, 81300 Johor Bahru, Malaysia
autor
  • Universiti Teknologi Malaysia, Faculty of Civil Engineering, Department of Hydraulics and Hydrology, Skudai, 81300 Johor Bahru, Malaysia
  • Universiti Teknologi Malaysia, Faculty of Civil Engineering, Department of Hydraulics and Hydrology, Skudai, 81300 Johor Bahru, Malaysia
Bibliografia
  • 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
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  • 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.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-44d0267a-7c31-4545-8fa2-729ef040d055
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