Landslide monitoring system based on water adsorption rate utilizing humidity, accelerometer, and temperature sensors

Faisal Budiman, Erwin Susanto, Doan Perdana, Husneni Mukhtar, Yulius Anggoro Pamungkas, Yakobus Yulyanto Kevin

Abstract


This study examines the application of a landslide disaster monitoring system based on soil activity information that utilizes humidity, temperature, and accelerometer sensors. An artificial highland was built as the research object, and the landslide process was triggered by supplying the system with continuous artificial rainfall. The soil activities were observed through its slope movement, temperature, and moisture content, utilizing an accelerometer, temperature, and humidity sensors both in dry and wet conditions. The system could well observe the soil activities, and the obtained data could be accessed in real-time and online mode on a website. The time delay in sending the data to the server was 2 seconds. Moreover, the characteristics of soil porosity and its relevance to soil saturation level due to water pressure were studied as well. Kinetic study showed that the water adsorption to soil followed the intraparticle diffusion model with a coefficient of determination R2 0.99043. The system prototype should be used to build the information center of disaster mitigation, particularly in Indonesia.

Keywords


landslide; monitoring system; land activity; mitigation; kinetic study

References


K. Khosiah and A. Ariani, "Tingkat kerawanan tanah longsor di dusun Landungan desa Guntur Macan kecamatan Gunungsari kabupaten Lombok Barat," Jurnal Ilmiah Mandala Education, vol. 3, no. 1, pp. 195-200, 2017.

N. H. Sudibyo and Ridho, "Pendeteksi tanah longsor menggunakan sensor cahaya,” Jurnal Teknologi Informasi Magister, vol. 1, no. 2, pp. 218-227, 2017.

D. G. Bayuaji, A. L. Nugraha, and A. Sukmono, "Analisis penentuan zonasi risiko bencana tanah longsor berbasis sistem informasi geografis (studi kasus: kabupaten Banjarnegara)," Jurnal Geodesi Undip, vol. 5, no. 1, pp. 326-335, 2016.

H. W. Kim, "Development of wireless sensor node for landslide detection", in 42th Meeting of the Asia-Pacific Advanced Network, Hongkong, Hongkong, Aug. 2016, pp.56-60.

H. Ckhotimah, M. Vonnisa, and A. Budiman, "Pemanfaatan data alos PALSAR untuk etimasi pergerakan tanah kota Padang upaya mitigasi bencana longsor," Jurnal Fisika Unand, vol. 9, no. 1, pp. 93-99, 2020.

J. Pangaribuan, L. M. Sabri, and G. J. Amarrohman, "Analisis daerah rawan bencana tanah longsor di kabupaten Magelang menggunakan sistem informasi geografis dengan metode standar nasional Indonesia dan analythical hierarchy process," Jurnal Geodesi Undip, vol. 8, no. 1, pp. 288-297, 2019.

F. M. Putra, M., Rusdi, and H. Basri, "penentuan tingkat kerawanan longsor menggunakan sistem informasi geografis berdasarkan parameter curah hujan (studi kasus di kecamatan Tangse)," Jurnal Ilmiah Mahasiswa Pertanian, vol. 4, no. 1, pp. 708-713, 2019. doi: 10.17969/jimfp.v4i1.10205

S. N. K. B. Amit, S. Shiraishi, T. Inoshita, and Y. Aoki, "Analysis of satellite images for disaster detection," in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, Jul. 2016, pp. 5189-5192. doi: 10.1109/IGARSS.2016.7730352

V. N. Deekshit, M. V. Ramesh, P. K. Indukala, and G. J. Nair, "Smart geophone sensor network for effective detection of landslide induced geophone signals," in International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, Apr. 2016, pp. 1565-1569. doi: 10.1109/ICCSP. 2016.7754422

A. Zin, K. Hawari, and N. Khamisan, "Early detection of spots high water saturation for landslide prediction using thermal imaging analysis," International Journal of Environmental Science and Development, vol. 7, no. 1, pp. 41-45, 2016. doi: 10.7763/IJESD.2016.V7.738

S. Ishihara, M. Hashimoto, N. Wakamiya, M. Murata, and Y. Kawamoto, "A group-based scheduling method for landslide detection system with dense wireless sensor network,” in 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), Sendai, Japan, Dec. 2018, pp. 1-8. doi: 10.1109/ICT-DM.2018.8636374

S. B. Shrijan, C. K. Zaware, and M. M. Kale, "GSM based real-time wireless sensor network for landslide detection,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5, no. 2, pp. 350-352, 2015.

R. Dhanagopal and B. Muthukumar, "A model for low power, high speed and energy efficient early landslide detection system using IoT," in Wireless Personal Communications, Springer, 2019, pp. 1-16. doi: 10.1007/s11277-019-06933-7

C. Pennington, K. Freeborough, C. Dashwood, T. Dijkstra, and K. Lawrie, "The national landslide database of Great Britain: acquisition, communication and the role of social media," Geomorphology, vol. 249, pp. 44-51, 2015. doi: 10.1016/j.geomorph.2015.03.013

S. Arifin, L. Carolila, and G. Winarso, "Implementasi penginderaan jauh dan SIG untuk inventarisasi daerah rawan bencana longsor (Propinsi Lampung)," Jurnal Penginderaan Jauh, vol. 3, no. 1, pp. 77-86, 2006.

J. K. Torrance, "Chemistry: an essential key to understanding high-sensitivity and quick clays and to addressing landslide risk," in Landslides in Sensitive Clays, Springer, Cham, 2017, pp. 35-44. doi: 10.1007/978-3-319-56487-6_3

E. Susanto, F. Budiman, D. P. H. Mukhtar, and M. H. Latief, "Slope, humidity and vibration sensors performance for landslide monitoring system," in IEEE Asia Pacific Conference on Wireless and Mobile, Bali, Indonesia, Nov. 2019, pp. 139-142. doi: 10.1109/APWiMob48441.2019.8964155

L. Largitte and R. Pasquier, "A review of the kinetics adsorption models and their application to the adsorption of lead by an activated carbon," Chemical Engineering Research and Design, vol. 109, pp. 495-504, 2016. doi: 10.1016/j.cherd.2016.02.006

] H. Qiu, L. Lv, B. C. Pan, W. M. Zhang, and Q. X. Zhang, "Critical review in adsorption kinetic models," Journal of Zhejiang University-Science A, vol. 10, no. 5, pp. 716-724, 2009. doi: 10.1631/jzus.A0820524

D. K. Mahmoud, M. A. M. Salleh, W. A. Karim, A. Idris, and. Z. Z. Abidin, "Batch adsorption of basic dye using acid treated kenaf fibre char: equilibrium, kinetic and thermodynamic studies,” Chemical Engineering Journal, vol. 181, pp. 449-457, 2012. doi: 10.1016/j.cej.2011.11.116

L. Wei, T. Hong, X. Li, M. Li, Q. Zhang, and T. Chen, "New insights into the adsorption behavior and mechanism of alginic acid onto struvite crystals," Chemical Engineering Journal, vol. 358, pp. 1074-1082, 2019. doi: 10.1016/j.cej.2018.10.110

F. Rees, M. O. Simonnot, and J. L. Morel, "Short‐term effects of biochar on soil heavy metal mobility are controlled by intra‐particle diffusion and soil pH increase," European Journal of Soil Science, vol. 65, no. 1, pp. 149-161, 2014. doi: 10.1111/ejss.12107

H. Subiyanti, A. Rifa'i, and R. Jayadi, "Analisis kelongsoran lereng akibat pengaruh tekanan air pori di saluran induk Kalibawang Kulonprogo," Semesta Teknika, vol. 14, no. 1, pp. 15-25, 2015.




DOI: https://doi.org/10.14710/jtsiskom.2020.13591

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