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The new digital infiltration profiler performance test on sandy soil

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Abstract

A more accurate monitoring system needs to be developed by calculating the infiltration process of rainwater into the soil. The development of a digital infiltration profiler (DIP) is expected to be able to improve the accuracy of the early warning system, as well as to open a more considerable opportunity to study the landslide mechanism related to the infiltration process and the increase of pore-water pressure in the soil at both field-scale and laboratory scale. The performance and reliability of developed DIP was tested through laboratory and field ponding simulation. The field testing was demonstrated through a real installment procedures to be applied in the actual case. The field testing also consisted of water ponding and data reading. Numerical simulation using SEEP/W software of Geostudio packages was conducted to be compared to the field-testing data. From the laboratory ponding experiment, the sensor readings correspond well to the wetting front observation. The field ponding observation results showed good response of the DIP in detecting the wetting front. The results also implied the similarity of reducing wetting front rate that was simulated in SEEP/W and previous studies. The coupled numerical simulation and slope stability analysis of the conceptual slope model suggested the importance of multi-depth saturation measurement is necessary. The near-surface observation needs to confirm the saturation of the soil surface. The deeper sensor can continuously monitor soil saturation change in prolonged rainfall to predict the safety factor of the slope.

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References

  • Ahmed F, Nestingen R, Nieber JL, Gulliver JS, Hozalski RM (2014) A modified Philip–Dunne infiltrometer for measuring the field-saturated hydraulic conductivity of surface soil. Vadose Zone J 13(10)

  • Banton O, Seguin MK, Cimon MA (1997) Mapping field scale physical properties of soil with electrical resistivity. Soil Sci Soc Am J 61:1010–1017

    Article  Google Scholar 

  • Bovolenta R, Iacopino A, Passalacqua R, Federici B (2020) Field measurements of soil water content at shallow depths for landslide monitoring. Geosciences 10(10):409

    Article  Google Scholar 

  • Calamita G, Brocca L, Perrone A, Lapenna V, Moramarco T, Piscitelli S (2012) Electrical resistivity and TDR methods for soil moisture estimation in central Italy test-sites. J Hydrol 454:101–112

    Article  Google Scholar 

  • Cardell-Oliver R, Kranz M (2005) A reactive soil moisture sensor network: Design and field evaluation. Int J Distrib Sens Netw 1:149–162

    Article  Google Scholar 

  • Di Prima S, Castellini M, Abou Najm MR, Stewart RD, Angulo-Jaramillo R, Winiarski T, Lassabatere L (2019) Experimental assessment of a new comprehensive model for single ring infiltration data. J Hydrol 573(March):937–951

    Article  Google Scholar 

  • Dursun M, Ozden S (2011) A wireless application of drip irrigation automation supported by soil moisture sensors. Sci Res Essays 6(7):1573–1582

    Google Scholar 

  • Faris F, Fathani F (2013) A coupled hydrology/slope kinematics model for developing early warning criteria in the Kalitlaga Landslide, Banjarnegara, Indonesia. Progress of Geo-Disaster Mitigation Technology in Asia. Environmental Science and Engineering, Berlin, pp 453–467

    Chapter  Google Scholar 

  • Faris F, Wang FW (2014a) Investigation of the initiation mechanism of an earthquake-induced landslide during rainfall: a case study of the Tandikat landslide, West Sumatra, Indonesia. Geoenviron Disasters 1(1):1–18

    Google Scholar 

  • Faris F, Wang FW (2014b) Stochastic analysis of rainfall effect on earthquake induced shallow landslide of Tandikat, West Sumatra, Indonesia. Geoenviron Disasters 1(1):1–13

    Google Scholar 

  • Fathani TF, Karnawati D, Wilopo W (2016) An integrated methodology to develop a standard for landslide early warning systems. J Nat Hazards Earth Syst Sci (NHESS) Copernic Publ Eur Geosci Union 16(9):2123–2135

    Article  Google Scholar 

  • Fathani TF, Legono D, Alfath MA (2017a) Sensitivity analysis of depth-integrated numerical models for estimating landslide movement. J Disaster Res 12(3):607–616

    Article  Google Scholar 

  • Fathani TF, Legono D, Karnawati D (2017b) A numerical model for the analysis of rapid landslide motion. J Geotech Geol Eng 35(5):2253–2268

    Article  Google Scholar 

  • Fredlund DG, Xing A (1994) Equations for the soil-water characteristic curve. Can Geotech J 31(4):521–532

    Article  Google Scholar 

  • Friedman SP (2005) Soil properties influencing apparent electrical conductivity: a review. Comput Electron Agric 46(1–3):45–70

    Article  Google Scholar 

  • Green WH, Ampt GA (1911) Studies on soil physics: 1. flow of air and water through soils. J Agric Sci 4:1–24

    Google Scholar 

  • GSA (2015) Wireless soil-moisture sensors for irrigation. https://www.gsa.gov/cdnstatic/GPG_Findings_021-Wireless_Soil-Moisture_Sensors.pdf. Accessed 15 Nov 2022

  • Horton RE (1940) An approach towards physical interpretation of infiltration capacity. Proc Soil Sci Soc Am 5:399–417

    Article  Google Scholar 

  • Hsu S-M, Ni C-F, Hung P-F (2002) Assessment of three infiltration formulas based on model fitting on Richard’s equation. J Hydrol Eng 7(5):373–379

    Article  Google Scholar 

  • Jie F, Fei L, Zhong Y, Liu L, Kang S (2020) Wetting body characteristics and infiltration model of film hole irrigation. Water 12:1226

    Article  Google Scholar 

  • Karnawati D, Fathani F (2011) Landslide hazard and community-based risk reduction effort in Karanganyar and the surrounding area, Central Java, Indonesia. J Mt Sci 8:149–153

    Article  Google Scholar 

  • Muñoz-Carpena R, Regalado CM, Álvarez-Benedi J, Bartoli F (2002) Field evaluation of the new philip-dunne permeameter for measuring saturated hydraulic conductivity. Soil Sci 167:9–24

    Article  Google Scholar 

  • Philip JR (1993) Approximate analysis of falling-head lined borehole permeameter. Water Resour Res 29:3763–3768. https://doi.org/10.1029/93WR01688

    Article  Google Scholar 

  • Pirone M, Papa R, Nicotera MV, Urciuoli G (2015) In situ monitoring of the groundwater field in an unsaturated pyroclastic slope for slope stability evaluation. Landslides 12(2):259–276

    Article  Google Scholar 

  • Regalado CM, Ritter A, Alvarez‐Benedi J, Muñoz‐Carpena R (2005) Simplified method to estimate the green–ampt wetting front suction and soil sorptivity with the philip–dunne falling‐head permeameter. Vadose Zone J 4(2):291–299

    Article  Google Scholar 

  • Rosso R, Rulli MC, Vannucchi G (2006) A physically based model for the hydrologic control on shallow landsliding. Water Resour Res 42:W06410

    Article  Google Scholar 

  • Samouelian A, Cousin I, Tabbagh A, Bruand A, Richard G (2005) Electrical resistivity survey in soil science: a review. Soil till Res 83:173–193

    Article  Google Scholar 

  • Schulz WH, Kean JW, Wang G (2009) Landslide movement in southwest Colorado triggered by atmospheric tides. Nat Geosci 2:863–869

    Article  Google Scholar 

  • Sonaje N (2013) Modeling of infiltration process—a review. Indian JAppl Res 3:226–230. https://doi.org/10.15373/2249555X/SEPT2013/69

    Article  Google Scholar 

  • Stewart RD, Abou Najm MR (2018) A Comprehensive model for single ring infiltration ii: estimating field-saturated hydraulic conductivity. Soil Sci Soc Am J. https://doi.org/10.2136/sssaj2017.09.0314

    Article  Google Scholar 

  • Tu XB, Kwong AKL, Dai FC, Tham LG, Min H (2009) Field monitoring of rainfall infiltration in a loess slope and analysis of failure mechanism of rainfall-induced landslides. Eng Geol 105(1–2):134–150

    Article  Google Scholar 

Download references

Funding

This study was funded by Indonesian Ministry of Research, Technology and Higher Education (Ristekdikti).

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Fikri Faris & Teuku Faisal Fathani

  2. Centre for Disaster Mitigation and Technological Innovation (GAMA-InaTEK), Universitas Gadjah Mada, Yogyakarta, Indonesia

    Fikri Faris & Teuku Faisal Fathani

Authors
  1. Fikri Faris
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  2. Teuku Faisal Fathani
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Correspondence to Fikri Faris.

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Faris, F., Fathani, T.F. The new digital infiltration profiler performance test on sandy soil. Environ Earth Sci 81, 539 (2022). https://doi.org/10.1007/s12665-022-10647-8

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