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Modelling erosion and sedimentation in a small watershed, East Java, Indonesia

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Changes in land use as a result of human activities may generate the alteration of hydrometeorological disasters. Erosion, sedimentation, floods and landslides frequently occur in the Sanenrejo watershed (±292 km2), located in East Java, Indonesia. In this paper, the soil and water assessment tool (SWAT) model is used to evaluate the hydrological processes in this small watershed. The digital elevation model (DEM) is used as the primary input for deriving the topographic and physical properties of the watershed. Other input data used for the modelling processes include soil type, land use, observed discharge data and climate variables. These data are integrated into the SWAT to calculate discharge, erosion and sedimentation processes. The existing observed discharge data used to calibrate the SWAT output at the watershed outlet. The calibration results produce Nash–Sutcliffe efficiency (NSE) of 0.62 and determination coefficient (R2) of 0.75, then the validation result of 0.5 (NSE) and 0.63 (R2). The middle area faced the highest erosion and sedimentation that potentially contribute to hydrometeorological disasters.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
265--273
Opis fizyczny
Bibliogr. 37 poz., fot., rys., tab.
Twórcy
  • University of Jember, Faculty of Agricultural Technology, Jl kalimantan No. 37 Kampus Tegalboto, 68121, Jember, Jawa Timur, Indonesia
  • University of Jember, Faculty of Agricultural Technology, Jl kalimantan No. 37 Kampus Tegalboto, 68121, Jember, Jawa Timur, Indonesia
  • University of Jember, Faculty of Agricultural Technology, Jl kalimantan No. 37 Kampus Tegalboto, 68121, Jember, Jawa Timur, Indonesia
Bibliografia
  • ARNOLD J.G., KINIRY J. R., SRINIVASAN R., WILLIAMS J. R., HANEY E. B., NEITSCH S.L. 2012. Soil Water Assessment Tool (SWAT) input/ output documentation. Version 2012. Texas. Texas Water Resource Institute pp. 654.
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  • BHATTARAI R., DUTTA D. 2008. A comparative analysis of sediment yield simulation by empirical and process-oriented models in Thailand / Une analyse comparative de simulations de l’exportation sédimentaire en Thaïlande à l’aide de modèles empiriques et de processus. Hydrological Sciences Journal. Vol. 53. Iss. 6 p. 1253– 1269. DOI 10.1623/hysj.53.6.1253.
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  • HUGHES A.O., CROKE J.C. 2011. Validation of a spatially distributed erosion and sediment yield model (SedNet) with empirically derived data from a catchment adjacent to the Great Barrier Reef Lagoon. Marine and Freshwater Research. Vol. 62. Iss. 8 p. 962– 973.
  • KRYSANOVA V., ARNOLD J.G. 2008. Advances in ecohydrological modelling with SWAT – A review. Hydrological Sciences Journal. Vol. 53. Iss. 5 p. 939–947.
  • KRYSANOVA V., HATTERMANN F., HUANG S., HESSE C., VETTER T., LIERSCH S., KUNDZEWICZ Z.W. 2015. Modelling climate and land-use change impacts with SWIM: lessons learnt from multiple applications. Hydrological Sciences Journal. Vol. 60. Iss. 4 p. 606–635.
  • LI L., WANG Y., LIU C. 2014. Effects of land-use changes on soil erosion in a fast-developing area. International Journal of Environmental Science and Technology. Vol. 11. Iss. 6 p. 1549–1562.
  • 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. American Society of Agricultural and Biological Engineers. Vol. 50. Iss. 3 p. 885–900.
  • NEITSCH S.L., ARNOLD J.G., KINIRY J.R., WILLIAMS J.R. 2011. Soil and water assessment tool theoretical documentation. Version 2009. Texas. Blackland Research Center. Texas Agricultural Experiment Station pp. 618.
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  • Peraturan Menteri Kehutanan Republik Indonesia Nomor: P.32/ Menhut-II/2009 tentang tata cara pengembangan rencana teknis rehabilitasi hutan dan lahan das sungai (RTkRHL-DAS) [Regulation of the Minister of Forestry of the Republic of Indonesia Number: P. 32/Minfor-II/2009 about procedures for formulating a technical plan for the rehabilitation of forest and watershed lands] [online]. [Access 30.06.2020]. Available at: https://jdih.mkri.id/mg58ufsc89hrsg/P32_09.pdf
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  • PIGNOTTI G., RATHJENS H., CIBIN R., CHAUBEY I., CRAWFORD M. 2017. Comparative analysis of HRU and grid-based SWAT models. Water (Switzerland). Vol. 9. Iss. 4 p. 272.
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  • SANTHI C., ARNOLD J.G., WILLIAMS J.R., DUGAS W.A., SRINIVASAN R., HAUCK L.M. 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. The American Water Sources Association. Vol. 37. Iss. 5 p. 1169–1188.
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  • WAHDANI D. 2011. Perkiraan debit sungai dan sedimentasi dengan model MWSWAT Di Sub-DAS Citarum Hulu, Provinsi Jawa Barat [Discharge and Sedimentation Prediction by MWSWAT model in Upper Citarum sub-watershed, West Java Province] [online]. MSc Thesis. IPB University. [Access 25.06.2020]. Available at: http://repository.ipb.ac.id/handle/123456789/53096
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  • XU H., PENG S. 2013. Distinct effects of temperature change on discharge and non-point pollution in subtropical southern China by SWAT simulation. Hydrological Sciences Journal. Vol. 58. Iss. 5 p. 1032–1046.
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  • ZHANG D., LIN Q., CHEN X., CHAI T. 2019. Improved curve number estimation in SWAT by reflecting the effect of rainfall intensity on runoff generation. Water (Switzerland). Vol. 11. Iss. 1.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3211d0d7-02b6-4340-8dbe-1b814192645b
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