E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||12|
|Section||Green Infrastructure and Resilience|
|Published online||10 November 2020|
- K. Welde, B. Gebremariam, Effect of land use land cover dynamics on hydrological response of watershed: Case study of Tekeze Dam watershed, Northern Ethiopia. ISWCR 5, (2017) [Google Scholar]
- W. Pratama, S.B. Yuwono, Analisis Perubahan Penggunaan Lahan Terhadap Karakteristik Hidrologi Di Das Bulok. J. Sylva Lestari 4, 3 (2016) [Google Scholar]
- R.M.Z. Fauzi, Maryono, Kajian Erosi Dan Hasil Sedimen Untuk Konservasi Lahan DAS Kreo Hulu. J. Pembangunan Wilayah dan Kota 12, 4 (2016) [Google Scholar]
- M. Amin, Londuse Planning for Way Seputih Waterslted at Central Lampung by Water Management Model. J. Manusia dan Lingkungan 15, 3 (2008) [Google Scholar]
- D.R. Romlah, S.B. Yuwono, R. Hilmanto, and I.S. Banuwa, Pengaruh Perubahan Tutupan Hutan Terhadap Debit Way Seputih Hulu. J. Hutan Tropis 6, 2 (2018) [Google Scholar]
- S.C. Brown, V.L. Vesace, R.E. Lester, and M.T. Walter, Assessing the impact of drought and forestry on streamflows in south-eastern Australia using a physically based hydrological model. Environ. Earth Sci. 74, (2015) [Google Scholar]
- D.N. Khoi, T. Suetsugi, Impact of climate and land-use changes on hydrological processes and sediment yield—a case study of the Be River catchment, Vietnam. Hydro. Sci. Journal 59, 5 (2014) [Google Scholar]
- A.G. Jeffrey, M.N. Daniel, G.P. Walter, A.C. Karim, W.M. James, S. Saghavan, S. Chinnasamay, H.R. Daren, v.G. Ann, v.L.W. Michael, N. Kannan, J.M. Kumar, SWAT: Model use, calibration, and validation. ASABE 55, 4 (2012b) [Google Scholar]
- W. Sudjarit, S. Pukngam, N. Tangtham, Application of SWAT model for assessing effect on main functions of watershed ecosystem in Headwater, Thailand. IAEES 5, 2 (2015) [Google Scholar]
- S. L. Neitsch, J. G. Arnold, J. R. Kiniry, and J. R. Williams, Soil and WaterAssessment Tool. Texas: Texas AgriLife Reasearch, 647 (2009). [Google Scholar]
- M.K. Shrestha, F. Recknagel, J. Frizenschaf, and W. Meyer, Future climate and land uses effects on flow and nutrient loads of a Mediterranean catchment in South Australia. Science of the Total Environment 590-591, (2017) [Google Scholar]
- H. Koo, M. Chen, A. J. Jakeman, and F. Zhang, A global sensitivity analysis approach for identifying critical sources of uncertainty in non-identifiable, spatially distributed environmental models: A holistic analysis applied to SWAT for input datasets and model parameters. Environ. Model. Softw. 127, (2020) [Google Scholar]
- V. T. Nguyen, J. Dietrich, and B. Uniyal, Modeling interbasin groundwater flow in karst areas: Model development, application, and calibration strategy. Environ. Model. Softw. 124, (2020) [Google Scholar]
- H. Zhang et al., Rapid consolidation characteristics of Yellow River-derived sediment: Geotechnical characterization and its implications for the deltaic geomorphic evolution. Eng. Geol. 270, (2020) [Google Scholar]
- K. C. Abbaspour et al., Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol. 333, (2007) [Google Scholar]
- J. Yang, P. Reichert, K. C. Abbaspour, J. Xia, and H. Yang, Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China, J. Hydrol. 358, (2008) [CrossRef] [Google Scholar]
- M. P. Thavhana, M. J. Savage, and M. E. Moeletsi, SWAT model uncertainty analysis, calibration and validation for runoff simulation in the Luvuvhu River catchment, South Africa. Phys. Chem. Earth, 105, (2018) [Google Scholar]
- H. Zhang, B. Wang, D. L. Liu, M. Zhang, L. M. Leslie, and Q. Yu, Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia, J. Hydrol. 585, (2020) [Google Scholar]
- A. M. Le and N. G. Pricope, Increasing the accuracy of runoffand streamflow simulation in the Nzoia Basin, Western Kenya, through the incorporation of satellite-derived CHIRPS data. Water 9, 114 (2017) [Google Scholar]
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