Open Access
| Issue |
BIO Web Conf.
Volume 192, 2025
6th International Conference on Smart and Innovative Agriculture (ICoSIA 2025)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 10 | |
| Section | Environmental and Climate Change Studies | |
| DOI | https://doi.org/10.1051/bioconf/202519204001 | |
| Published online | 24 October 2025 | |
- Suripin, M. Helmi, The Lost of Semarang Coastal Areas due to Climate Change and Land Subsidence. Proc. 2nd Int. Conf. Coast. Delta Areas. 2013, 98–108 (2015) [Google Scholar]
- A. Wahyu, A. Kuntoro, T. Yamashita, Annual and Seasonal Discharge Responses to Forest/Land Cover Changes and Climate Variations in Kapuas River Basin, Indonesia, J. Int. Dev. Coop. 16, 81–100 (2010) [Google Scholar]
- M. Isa, J. Sumarauw, L. Hendratta, Analisis Debit Banjir Dan Tinggi Muka Air, J. Sipil Statik. 8, 591–600 (2020). https://ejournal.unsrat.ac.id/index.php/jss/article/v iew/29979 [Google Scholar]
- L. Utama, A. Saidi, I. Berd, Z. Mizwar, Kajian Morphometri Pada Daerah Aliran Sungai (Das) Batang Kuranji Terhadap Debit Banjir. Front. J. Sains Dan Teknol. 1, (2018). https://doi.org/10.36412/frontiers/001035e1/april2 01801.07. [Google Scholar]
- F. Y. Andini, B. D. Dasanto, I. P. Santikayasa, Respon Model Hbv Dan Model Tangki Terhadap Estimasi Debit Aliran Di Das Bogowonto, Jawa Tengah. J. Sumber Daya Air. 19, 84–95 (2023). https://doi.org/10.32679/jsda.v19i2.830. [Google Scholar]
- S. Bergström, The HBV model its structure and applications, Swedish Meteorol. Hydrol. Institute Norrköping. 4, 1–33 (1992) [Google Scholar]
- J. Seibert, M. J. P. Vis, Teaching hydrological modeling with a user-friendly catchment-runoff-model software package, Hydrol. Earth Syst. Sci. 16, 3315–3325 (2012). https://doi.org/10.5194/hess-16-3315-2012. [Google Scholar]
- F. Tangang, J. X. Chung, L. Juneng, Supari, E. Salimun, S. T. Ngai, A. F. Jamaluddin, M. S. F. Mohd, F. Cruz, G. Narisma, J. Santisirisomboon, Projected future changes in rainfall in Southeast Asia based on CORDEX–SEA multi-model simulations. Clim. Dyn. 55, 1247–1267 (2020). https://doi.org/10.1007/s00382-020-05322-2. [Google Scholar]
- S. Feng, Q. Hu, W. Huang, C. H. Ho, R. Li, Z. Tang, Projected climate regime shift under future global warming from multi-model, multi-scenario CMIP5 simulations. Glob. Planet. Change. 112, 41–52 (2014). https://doi.org/10.1016/j.gloplacha.2013.11.002. [Google Scholar]
- D. N. Moriasi, J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith, “M e g s q a w s,” vol. 50, no. 3, pp. 885–900, 2007. [Google Scholar]
- I. Pabalik, N. Ihsan, M. Arsyad, Analisis Fenomena Perubahan Iklim dan Karakteristik Curah Hujan Ekstrim di Kota Makassar. J. Sains dan Pendidik. Fis. 11, 88–92 (2015) [Google Scholar]
- R. J. Kodoatie, Tata Ruang Air Tanah, (Penerbit Andi, Yogyakarta, 2012) [Google Scholar]
- A. Kurniawan, Suripin, H. Purnaweni, Pengaruh Perubahan Penggunaan Lahan Terhadap Koefisien Runoff di DAS Kemoning Kabupaten Sampang. J. Pedoman Tek. Konserv. 1–8 (2013) [Google Scholar]
- S. Y. Bachtiar, D. Harisuseno, Fi. J. Sidqi, Prediksi Laju Infiltrasi Berdasarkan Sifat Porositas Tanah, Distribusi Butiran Pasir, dan Lanau. J. Teknol. dan Rekayasa Sumber Daya Air. 2, 156–168 (2022) [Google Scholar]
- N. H. Saji, T. Yamagata, Possible impacts of Indian Ocean Dipole mode events on global climate. Clim. Res. 25, 151–169 (2003) https://doi.org/10.3354/cr025151. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

