Showing posts with label landslide triggering. Show all posts
Showing posts with label landslide triggering. Show all posts

Wednesday, October 8, 2014

CISLAM

CISLAM is the simplified hydrological model produced by Cristiano Lanni during his P.h. D which was devoted to the study of landslide triggering. The theory behind the code is commented in a Hydrological Processes Paper, and the original code was written in R, but Marco Foi ported it to the Jgrasstools during a fortunate Google Summer of Code.

  • The CISLAM Manual can be found here. 
  • Source code can be found here.


You can find a jar file ready to be used within a hacked version of JGrassTools 0.7.7: in fact, Marco had to modify a little JGrasstools to get it working. These changes were, so far, never introduced in version 0.8, and therefore for using CISLAM, it is necessary to use this version of JGrasstools: 


The tool has been tested to on the data set that can be found here, the same described in the manual. Other tests, would be necessary indeed. 

Saturday, February 15, 2014

Preferential Flow in Hillslope

This last month was partially spent in reviewing Grigoris Anagnostopoulos Ph.D. thesis about subsurface hillslope modelling and landsliding. Among the topics he faced, one of particular interest is the one of preferential flow. This have been largely debated in literature since the 1982 work by German and Beven (great to address the issue, less fundamental in getting a solution, as well as the 2013 recent effort by the same authors).  Grigoris writes:

“Natural soils normally exhibit a high degree of heterogeneity due to macropores, fissures, cracks and root holes, which are the result of soil forming processes and biological activity. The existence of these structural heterogeneities result in the non- uniformity of the pressure potential making the infiltration front to move faster to greater depths using the macropore space without passing through the soil matrix. 
..
Several studies showed that the contribution of preferential flow paths to hillslope water regime and catchment response can be substantial [Weiler and Naef , 2003a, b; Jones, 2010]. “

Here I would add the studies by Flury et al, 1990, and other Juris work (e.g  Godhrati, 1990), Jeff McDonnell [e.g McDonnell, 1990], Andreini and Steenhuis, 1990, to name a few.


What has been elusive for years (and still is) is the way to simulate it [e.g. Simunenk, et al, 2003]. Grigoris gives a simple and clear summary:
…
“The simplest way to describe preferential flow is to use Richards’ equation coupled with piecewise continuous soil water retention and hydraulic conductivity functions that take into account the increase in hydraulic conductivity near saturation, due to the existence of macropores [Mohanty et al., 1997; Schaap and van Genuchten, 2005; Børgesen et al., 2006]. “

He also comments:

“This approach, although it is very easy to implement and takes into account successfully the substantial increase in the hydraulic conductivity near saturation, cannot describe the non-equilibrium mechanisms of flow that the existence of macropores implies.
Furthermore … more rigorous approaches for modelling preferential flow through soil have been proposed the last decades, ranging from single-porosity non equilibrium flow models to dual-porosity and dual-permeability models. 
Single porosity non equilibrium models [Ross and Smettem, 2000; Diamantopoulos et al., 2012] make the assumption that water content in not a function of the pressure head and the SWRC in not used any more for its computation. Instead, a kinematic approach is used to describe the water content’s evolution towards equilibrium. 
The implementation of the aforementioned approach in existing numerical codes based on the mixed form of Richards’ equation is easy and straightforward. (N.o.B. - straightforward is usually not so)
Dual-porosity models [Philip, 1968; van Genuchten and Wierenga, 1976] divide the soil media into two distinct domains: the macropore domain and the soil matrix domain. Water is assumed to flow only through the macropores and the soil matrix is used to store and exchange water with the macropore domain without permitting the development of convective flow. 
In dual-permeability models, two separate Richard’s equation are used to simulate water flow through the two distinct pore regions described above [Gerke and van Genuchten, 1993a, b, 1996]. 
The basic drawback of this approach is that it requires the determination of many parameters because of the fact that sepa- rate soil water retention and hydraulic conductivity functions are used for the two pore regions and the interface between them.
During the last decades many hillslope-scale experiments were carried out in several places around the world [Tsuboyama et al., 1994; Uchida et al., 2002; Weiler and Naef, 2003a; Uchida et al., 2005] trying to shed light on many qualitative and quantitative characteristics of preferential flow phenomena and their implications in subsurface flow and catchment response. Several researchers [Beckers and Alila, 2004; Weiler, 2005; Weiler and McDonnell, 2007] proposed simple models for the description of preferential flow, trying to incorporate all the knowledge acquired from the observed characteristics from the field experiments. 
The problem of this kind of approaches arises from their lack of generality, because they are founded and tested with the data from a specific test site, making them not easily transferable to other locations.”

So I thanks Grigoris of the little review and I hope he does not blame me if I reproduced here part of his thesis, and added some bibliography.  With a good luck for his carrier.

References



Beven, K.J., Germann, P F. 1982. Macropores and water flow in soils, Water Resources Research, 18(5), 1311‐1325.

Beven, K., and P. Germann (2013), Macropores and water flow in soils revisited, Water Resour. Res.,49, 3071–3092, doi:10.1002/wrcr.20156

Børgesen, C. D., O. H. Jacobsen, S. r. Hansen, and M. G. Schaap, Soil hydraulic properties near saturation, an improved conductivity model, Journal of Hydrology, 324, 40–50, 2006.

Diamantopoulos, E., S. C. Iden, and W. Durner, Inverse modeling of dynamic nonequilibrium in water flow with an effective approach, Water Resources Research, 48, 1–16, 2012.

Flury, M., H. Flühler, W. A. Jury, and J. Leuenberger (1994), Susceptibility of soils to preferential flow of water: A field study, Water Resour. Res., 30(7), 1945–1954, doi:10.1029/94WR00871.
http://akasha.wsu.edu/~flury/theses_articles/screening.pdf

Gerke, H., and M. T. van Genuchten, A dual-porosity model for simulating the preferential movement of water and solutes in structured porous media, Water Resources Research, 29, 305–319, 1993a.

Gerke, H. H., and M. T. van Genuchten, Evaluation of a First-Order Water Tranfer Term for Variably Saturated Dual-Porosity flow Models, Water Resources Research, 29, 1225–1238, 1993b.

Gerke, H. H., and M. T. van Genuchten, Macroscopic representation of structural geometry for simulating water and solute movement in dual-porosity media, Advances in Water Resources, 19, 343–351, 1996

Ghodrati, M. and Jury, William A.  A Field Study Using Dyes to Characterize Preferential Flow of Water, SSSAJ, Vol. 54 No. 6, p. 1558-1563, Nov, 1990, doi:10.2136/sssaj1990.03615995005400060008x

Hencher, S. R., Preferential flow paths through soil and rock and their association with landslides, Hydrological Processes, 24, 1610–1630, 2010.

Jones, J. A. A., Soil piping and catchment response, Hydrological Processes, 24, 1548– 1566, 2010.

McDonnell, J. J. (1990), A Rationale for Old Water Discharge Through Macropores in a Steep, Humid Catchment, Water Resour. Res., 26(11), 2821–2832, doi:10.1029/WR026i011p02821. 

Mohanty, B., R. Bowman, J. M. H. Hendrickx, and M. T. van Genuchten, New piecewise-continuous hydraulic functions for modeling preferential flow in an intermittent-flood-irrigated field, Water Resources Research, 33, 2049–2063, 1997.

Philip, J., The theory of absorption in aggregated media, Australian Journal of Soil Research, 6, 1–19, 1968.

Ross, P., and K. Smettem, A Simple Treatment of Physical Nonequilibrium Water Flow in Soils, Soil Science Society of America Journal, 64, 1926–1930, 2000.

Schaap, M. G., and M. T. van Genuchten, A Modified Mualem-van Genuchten For- mulation for Improved Description of the Hydraulic Conductivity Near Saturaion, Vadose Zone Journal, 5, 27–34, 2005.

Simunek, J., Jarvis, N.J., van Genuchten, M.Th. , and Gardena, A., Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone, Journal of Hydrology 272 (2003) 14–35



Uchida, T., I. T.-v. Meerveld, and J. J. Mcdonnell, The role of lateral pipe flow in hillslope runoff response : an intercomparison of non-linear hillslope response, Journal of Hydrology, 311, 117–133, 2005.

van Genuchten, M., and P. Wierenga, Mass Tranfer Studies in Sorbing Porous Media I. Analytical Solutions, Soil Science Society of America Journal, 40, 473–480, 1976.

Weiler, M., and F. Naef, An experimental tracer study of the role of macropores in infiltration in grassland soils, Hydrological Processes, 17, 477–493, 2003a.

Weiler, M., and F. Naef, Simulating surface and subsurface initiation of macropore flow, Journal of Hydrology, 273, 139–154, 2003b.


Tuesday, September 24, 2013

Clarifications about a formula

I reading the TRIGRS manual I fond this:

Comparison of Computed Results with Published Analyses

We tested TRIGRS against Iverson’s (2000) examples from the Minor Creek landslide and from an experiment at the USGS debris-flow flume and were able to reproduce his results for pore pressure and factor of safety profiles. Thus, we were able to verify that the computer code accurately implements Iverson’s (2000) formulas for pore pressure and factor of safety. After publishing the original version of TRIGRS, students of Ricardo Rigon (University of Trento, Trento, Italy) pointed out an error in the coordinate transformation in Iverson’s (2000) original paper. Correction of that simple error causes our numerical results to differ somewhat from Iverson’s (2000) published values, though preserving their basic form. Folders named

25“MinorCreek” and “flume” contain files with necessary data to reproduce these results. By varying elapsed time, t , in the initialization file, the user can compute pressure head and factor of safety profiles like those of figures 7, 8, 10, and 11 of Iverson (2000). Note that the computed profiles conform to the limit imposed by equation 3. We have also verified that the new version of TRIGRS described in this report reproduces the published results of Srivastava and Yeh (1991). Data in the folder “sy91” produce profiles that allow the user to reproduce the curves plotted in figure 3 of Srivastava and Yeh (1991).


A part the misspelling of my name (two "r"s, not one like in Spanish), I need to precise that the error was discovered by Emanuele Cordano, a.k.a. the authors of at least  couple of papers with me, and some R packages useful for hydrologists.  His papers, maybe difficult to read, and so far not kissed by the goddess of citations,  remain among my own favorite. 

References

[ J28] - Cordano E. R. Rigon, A perturbative view on the subsurface water pressure response at hillslope scale, Water Resour. Res., Vol. 44, No. 5, W05407- W05407, doi:10.1029/2006WR005740, 2008


Boussinesq code is available on Github.

R- Software

RMWAGEN, a weather generator, a package that contains functions for spatial multi-site stochastic generation of daily timeseries of temperature and precipitation. A presentation can be found here.

Soilwater, A package for plotting soil water retention curves and hydraulic conductivity written by Emanuele Cordano, Fabio Zottele and Daniele Andreis.

Wednesday, May 22, 2013

A summer school on landslides modelling (July 4-10 2013)


Shallow landslides are a widespread hazard on which I did a few selected publications. Modelling landslide occurence is problem that is difficult to grasp also because knowledge about the phenomenon covers geology, geotechnics-geo-mechanics , agronomy (especially regarding the role of roots) and, obviously, hydrology. As a result a modern landslide expert has to get accustomed with several point of views which are often divergent, and various modelling approaches and numerics, which makes uneasy a synthesis. Historically the field has crystallised along some concepts and methods which are summarised in one of my previous posts (Guidelines for the mapping of the triggering of landslides and debris flow). To investigate new ideas, mix the competences, and summarise good old tools, University of Calabria and CUDAM (of University of Trento) organised a summer school of which you can find information in the link below the picture.

Lectures of the school were:

Dino Bellugi, Matteo Berti, Giambattista Chirico, Ning Lu, Riccardo Rigon, Cristina Rulli.

The twenty participants came from nine nations and were selected from doctoral students and post-docs.
In the summer school website, it is here, you can find the lectures and the videos of the school.

Wednesday, March 28, 2012

Modelling catchment-scale shallow landslide occurrence by means of a subsurface flow path connectivity index

This paper extends the concept already introduced in  two previous papers on Hydrological Processes  and Earth Surface Processes and landforms. The idea pursued in the first was that hillslope processes can be conceptualized in order to obtain a topographic index useful for a simple hydrological modelisation of hillslopes. The second paper investigates the role of soil depth and push further the conceptualization, besides introducing some concept of self-organization in the production of instabilities. 

This third paper in row applies the theory above to a case in North of Italy, and tries finally to fill the gap between hillslope modeling and catchment analysis. The paper also introduces the concept of catchment connectivity, which is usually given for granted but it is, indeed, not always present, and build on previou work by Jeff McDonnell and collaborators and Stuart Lane.  Finally the paper investigates the hillslope stability of the basins above.

The model described, CISLAM is available as an OMS component here. 

Sunday, October 2, 2011

Presentation about landslides triggering given at IWL2

I was trying to convey the idea that landslide triggering is tricky and complex. But simple settings have a simple behavior, especially when we look at statistics. Nevertheless complexity is behind the curtain. The right one, I mean, that depends on vegetation distribution, soils use, heterogenous soil depth, and the fact that landslides are a very local phenomenon.




Here you will find the presentation. Hopefully a paper will come out from it.