Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Arif Rahmat Mulyana"'
Publikováno v:
Jurnal Teknik Hidraulik, Vol 3, Iss 2, Pp 157-168 (2017)
Kondisi lingkungan di Dieng sudah menampakkan adanya kerusakan yang cukup serius, oleh karena itu upaya penyelamatan dan rehabilitasi kawasan Dieng menjadi sangat penting dan perlu didukung agar dapat dikelola dan dikembangkan secara terintegrasi. Tu
Externí odkaz:
https://doaj.org/article/c0b53c70cbcd4dddba568e9eb00b1063
Autor:
Andy Subiyantoro, Cees J. Van Westen, Bastian V. Den Bout, Ragil Andika Yuniawan, Arif Rahmat Mulyana
Publikováno v:
2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2022-Proceedings
Fast and accurate landslide detection is important for landslide early warning systems. However, data available from local authorities and news reports vary in accuracy (time and location). In this work, we present a new method for identifying landsl
Autor:
Victor Jetten, Danang Eko Nuryanto, Ratna Satyaningsih, Rokhmat Hidayat, Tri Astuti Nuraini, Mohammad Dedi Munir, Arif Rahmat Mulyana, Ardhasena Sopaheluwakan
The existing Landslide Early Warning System (LEWS) for Indonesia was developed using rainfall thresholds, which were derived from the relationship between rainfall inducing landslides and landslide events in the past. The system utilized the median v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e793707baef4cb5635b1b2af4d13cdf
https://doi.org/10.5194/egusphere-egu2020-19449
https://doi.org/10.5194/egusphere-egu2020-19449
Autor:
Banata Wachid Ridwan, Samuel Jonson Sutanto, Alidina Hidayah, Rokhmat Hidayat, Arif Rahmat Mulyana
Publikováno v:
Geosciences (Switzerland), 9(10)
Geosciences (Switzerland) 9 (2019) 10
Geosciences
Volume 9
Issue 10
Geosciences, Vol 9, Iss 10, p 451 (2019)
Geosciences (Switzerland) 9 (2019) 10
Geosciences
Volume 9
Issue 10
Geosciences, Vol 9, Iss 10, p 451 (2019)
Landslides are one of the most disastrous natural hazards in Indonesia, in terms of number of fatalities and economic losses. Therefore, Balai Litbang Sabo (BLS) has developed a Landslide Early Warning System (LEWS) for Indonesia, based on a Delft&nd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119111cc9a7f7e5ae5edea6281870422
https://research.wur.nl/en/publications/development-of-a-landslide-early-warning-system-in-indonesia
https://research.wur.nl/en/publications/development-of-a-landslide-early-warning-system-in-indonesia